We’re witnessing entire social systems—education, healthcare, taxes, and more—crumble as AI exposes how outdated their underlying assumptions have become.

Miriam is 26 years old, and every major system that’s supposed to support her path to adulthood has failed her in a different way.

She graduated from college in 2021 with a marketing degree and $87,000 in student debt. The education she received? Largely obsolete before she finished—professors teaching Facebook ads strategies from 2015 while TikTok was reshaping digital marketing. By senior year, she learned more from YouTube tutorials and AI tools than from $60,000-a-year classes. But she needed the degree because employers still required it, even though everyone knew it didn’t prove competence.

Now she works as a freelance “AI content strategist”—a job that didn’t exist when she started college. She uses ChatGPT and Midjourney to create campaigns for seven clients across four countries. She makes $73,000 annually, which sounds decent until you factor in no benefits, no retirement matching, and a tax situation so complex she pays $2,400 annually to an accountant who admits the IRS hasn’t figured out how to classify AI-generated income.

Last year, she spent three months trying to buy a small condo. She’d saved $40,000 for a down payment—five years of careful saving. She was repeatedly outbid by investment firms using AI algorithms to purchase properties 3% above asking price within minutes of listing. She gave up and continues renting a 450-square-foot apartment for $1,850 monthly—nearly half her take-home pay.

Her healthcare is a catastrophe. She pays $380 monthly for insurance covering almost nothing until she hits a $6,000 deductible. When chronic migraines started, she used an AI symptom checker that correctly diagnosed her in five minutes. Getting actual treatment required three months of waiting, $1,200 in copays for tests the AI had already identified as necessary, and a prescription costing $340 monthly because it wasn’t “covered.”

Last month, her younger brother was arrested for marijuana possession—a small amount that won’t be criminal in a few years after decriminalization, but was still illegal when he was caught. He’s in county jail awaiting trial, unable to afford bail, missing work, at risk of losing his apartment. The public defender met with him for seven minutes. An AI risk assessment flagged him “medium-high risk” based on zip code and traffic violations, making bail even less likely.

This is what system failure looks like from the inside. Not abstract policy debates, but daily life where every major institution that should enable stable adulthood is broken, inaccessible, or actively harmful.

Miriam isn’t unlucky. She’s normal. This is reality for tens of millions of young adults trying to build lives where every major system was designed for a world that no longer exists.

Why Systems Thinking Is Suddenly Everywhere

Systems thinking is a hot topic because people like Miriam are living through a collapse in real-time, and it’s becoming impossible to ignore.

We’re watching fundamental systems that have organized society for generations break down in obvious ways. Income tax is broken. College is broken. Prisons are broken. Healthcare, housing, employment—pick any major social infrastructure, and you’ll find systems designed for a previous era, straining under pressures they weren’t built to handle.

And AI is accelerating the collapse—not by attacking systems deliberately, but by revealing their fundamental assumptions to be obsolete. Every system rests on assumptions about human capabilities, information availability, time constraints, and coordination costs. AI is demolishing those assumptions faster than we can adapt.

The question isn’t whether these systems can be saved. It’s how much broken infrastructure we’ll pass to our kids, and whether we’re brave enough to rebuild from first principles while we still have time.

Miriam’s story reveals how a tax system built for 1920s workers is collapsing under the realities of AI-driven, borderless, multi-income digital life.

The Income Tax System: Built for W-2 Employees

Miriam’s tax situation illustrates how broken the system is for anyone whose work doesn’t fit 1920s categories.

The income tax system was designed around a specific economic reality: most people worked for a single employer, earned predictable salaries, and received W-2s at year’s end. That worked.

That world is vanishing. Miriam represents the future—gig economy, remote work, AI-generated income, global freelancing, multiple revenue streams that don’t fit any tax category. She has seven clients across four countries. She’s never physically met them. Her “work” involves using AI tools to create content. So whe

re does she owe taxes? Where was work performed—her Denver apartment, servers in Virginia where ChatGPT runs, or countries where clients are located?

When AI generates marketing copy that earns her money, who did the work? She prompted the AI, curated results, and delivered products. But GPT-4 wrote the words. Is that business income? Service income? Is she selling a product or a service?

Her accountant filed under five different income categories last year, making educated guesses about classifications the IRS hasn’t clearly defined. She paid $2,400 for this—money W-2 workers don’t spend—and still isn’t confident it’s correct.

Meanwhile, the wealthy deploy AI-powered tax optimization experts, exploiting system complexity for aggressive avoidance. The system punishes people like Miriam—straightforward income, modest earnings—while enabling sophisticated avoidance impossible without AI analysis of regulatory loopholes. Income tax assumes human labor, physical presence, and clear employer-employee relationships. AI obliterates all three. Rather than rebuilding for new realities, we’re forcing AI-age economics into 1920s categories. It won’t work.

The College System: $87,000 for Obsolete Education

Miriam borrowed $87,000 for a marketing degree. Her monthly loan payment is $780—more than many people’s rent. She’ll pay until she’s 36.

What did she get? Professors teaching outdated material. Social media marketing from 2014. Data analytics teaching Excel when industry used Python and R. Digital strategy never mentions AI tools already reshaping the field.

By senior year, Miriam learned more from free YouTube tutorials and AI experimentation than from paid classes. She used GPT-3 to help write papers, Grammarly to edit, Quillbot to paraphrase sections, avoiding plagiarism detection. She learned actual marketing from side projects and freelance work, not classroom instruction.

But she needed the degree. Employers still required it, even though everyone knew it didn’t prove competence. The degree wasn’t education—it was an expensive signal she could complete assignments and stick with something for four years.

Now she works in a job that didn’t exist when she started college, using tools that didn’t exist when she graduated, applying skills learned outside the classroom. And she’s paying $780 monthly for that increasingly meaningless credential.

AI makes this more absurd. Students use AI to write essays. Professors use AI to detect AI work. It’s an arms race where everyone knows credentials mean less yearly, but institutions can’t acknowledge this because their business model depends on pretending degrees still matter.

Alternative credentials are emerging—AI competency assessments, industry certifications, portfolio-based hiring. But Miriam’s generation is caught in transition: too late to benefit from the old system, too early to skip college entirely.

So they take on massive debt for partly obsolete education, increasingly disconnected from employer needs, then spend a decade paying it back while the system loads the next cohort with the same broken promises.

Miriam’s years of saving meant nothing in a housing market dominated by AI algorithms that outbid humans in seconds, turning homes into investment code instead of living spaces.

The Housing System: Algorithms Pricing Out Humans

Miriam saved $40,000—five years of discipline. Still couldn’t compete with AI-powered investment algorithms.

She spent three months seriously buying. Viewed dozens of condos, made offers on seven, was outbid every time.

The pattern was consistent: properties listed, and within hours—sometimes minutes—she competed against cash offers 3-7% above asking. Investment firms using AI algorithms identified undervalued properties and automatically submitted offers, beating individual buyers.

The algorithms had data she couldn’t see, analyzed comparable sales faster than humans, submitted offers instantly, and could afford overpaying because they optimized for portfolio returns across hundreds of properties, not finding one home to live in.

She never had a chance. Individual buyers with jobs and down payments can’t compete with institutional investors deploying AI-optimized purchasing strategies.

So she continues renting. $1,850 monthly for 450 square feet. Nearly half her take-home pay. No equity. No stability. No control over whether her landlord raises rent $200 next year (he probably will—his property management uses algorithmic rent optimization too).

Her parents bought their first home at 28 for $180,000 (about $280,000 today). They put down 10% on her dad’s single income. The house is now worth $650,000.

Miriam’s equivalent starter home costs $520,000. With 20% down, she’d need $104,000—more than twice what she already saved. And she’d compete against algorithms that don’t care about overpaying.

The system isn’t just hard. It’s broken. Housing has been financialized, and AI strategies are accelerating it. Homes are increasingly investment vehicles rather than places to live, and first-time buyers are systematically priced out.

The Healthcare System: AI Diagnosis, 1950s Delivery

Miriam’s healthcare shows the worst system failure: we have technology to do better, but institutional inertia prevents proper use.

When chronic migraines started, she used an AI symptom checker. Input symptoms—frequency, location, triggers, family history. The AI suggested three likely diagnoses, with migraine most probable. Recommended specific tests and treatments. Five minutes, free.

Then she entered actual healthcare.

First appointment: 11 weeks out. The doctor asked the same questions, ordered the same tests, and referred her to a neurologist. Another six-week wait. The neurologist confirmed the AI diagnosis from three months earlier and prescribed medication.

Total cost: $1,200 in copays before filling the prescription. The medication costs $340 monthly because insurance didn’t cover it—despite being a common, proven treatment.

Her insurance costs $380 monthly with a $6,000 deductible. She pays $4,560 annually in premiums before insurance covers anything meaningful. Then pays everything out of pocket until hitting $6,000.

She’s paying $380 monthly for “insurance” that didn’t help with $1,200 in diagnostic costs or $340 monthly medication. She might as well be uninsured until catastrophic events.

The absurdity: AI correctly diagnosed her immediately, free. The human healthcare system took three months and $1,200 to confirm what AI already knew.

We have technology for accurate diagnosis, treatment suggestions, and continuous monitoring. But we’re using systems designed around in-person visits, paper records, and insurance companies extracting maximum revenue while providing minimal coverage.

Miriam’s brother sits in jail because an AI risk score, built on biased data, labeled him ‘high risk’—a perfect example of technology making a broken justice system more efficiently unjust.

The Prison System: Her Brother’s Destruction

Miriam’s brother was arrested with a small amount of marijuana. In a few years, this won’t even be illegal—decriminalization is coming, just not fast enough.

He’s been in county jail for six weeks, awaiting trial because he can’t afford $5,000 bail. Lost his warehouse job after two weeks. About to lose his apartment. His public defender spent seven minutes with him and hasn’t returned calls.

An AI risk assessment scored him “medium-high risk” based on zip code, age, and two traffic violations. This influenced bail and will influence sentencing. The algorithm was trained on historical data reflecting decades of discriminatory policing, so it encodes and automates that discrimination while seeming objective and scientific.

Miriam watches helplessly. Her brother isn’t dangerous—he had personal-use marijuana. But the system will likely give him a criminal record, destroy employment prospects, make housing nearly impossible, and set him toward further criminal justice involvement.
This is supposed to be rehabilitation. It’s actually life destruction.

AI is making it worse—not through cruelty, but by automating bad decisions at scale. Risk assessments encoding historical bias. Surveillance flagging low-income neighborhoods for enhanced policing. Predictive systems create self-fulfilling prophecies.

We have technology enabling better alternatives: electronic monitoring instead of incarceration, AI-powered rehabilitation programs, personalized interventions. But we’re using AI to make a broken system more efficient at breaking people.

The Pattern: Automating Dysfunction

We’re not using AI to fix broken systems. We’re using AI to automate dysfunction at scale.

Income tax was already too complex and inequitable. AI makes it worse by creating income types not fitting existing categories while giving wealthy individuals AI-powered optimization that ordinary people can’t afford.

College was already unaffordable and disconnected from labor needs. AI makes it more irrelevant by doing work that students supposedly learn, while institutions pretend nothing has changed and charge $87,000 for increasingly obsolete credentials.

Housing was already difficult for first-time buyers. AI algorithms make it impossible by outbidding humans with superior information, instant decisions, and portfolio optimization.

Healthcare was already expensive and inefficient. AI can diagnose in minutes, but we still run three-month processes, charging thousands for confirmations of what algorithms already knew.

Prisons were already expensive and counterproductive. AI makes them more efficient at destroying lives through automated risk assessments encoding historical bias.

This is the infrastructure we’re passing Miriam’s generation: systems designed for worlds that no longer exist, failing at stated purposes, resistant to reform, and now being automated in their dysfunction.

Why Systems Break: Institutional Lag

Why can’t we just fix these systems?

The answer is institutional lag—the gap between when systems become obsolete and when institutions acknowledge and act on that obsolescence.

Institutions resist change because change threatens existing power structures, career paths, and revenue streams. Universities resist alternative credentials, threatening enrollment. Tax authorities resist reform, threatening bureaucratic jobs. Healthcare companies resist AI efficiency, threatening profit extraction. Housing policy protects homeowner wealth over affordability. Prison systems resist alternatives because incarceration has become an industry.

AI has accelerated change beyond what slow-adapting institutions can handle. The gap between “how things work” and “how things should work” widens exponentially.

Previous technological transitions gave institutions decades to adapt. AI compresses adaptation timelines to years or months. Systems designed for industrial-age employment don’t work for AI-age economics. We’re trying incremental adaptation when fundamental redesign is needed.

What We’re Passing to Miriam’s Generation

A tax system penalizing straightforward AI-augmented work while enabling sophisticated avoidance for the wealthy. Compliance costs consume thousands annually. A code so complex that even professionals guess at proper classifications.

An education system where degrees cost $87,000, teach partially obsolete skills, and create decade-long debt. Where credentials matter less yearly but remain mandatory gatekeepers. Where students learn more from free resources than expensive universities, but still must pay for the signal.

A housing system where algorithms outbid humans, institutional investors price out first-time buyers, and half your income goes to rent with no ownership path. Where home-ownership, defining middle-class stability for previous generations, is increasingly closed.

A healthcare system where AI diagnoses accurately, but three-month waits and thousands in costs are required for human confirmation. Where insurance costs $4,560 annually but doesn’t cover care until you’ve spent $6,000 out of pocket.

A prison system destroying lives over soon-to-be-legal conduct, using AI to automate historical biases, providing seven-minute legal consultations, and prioritizing punishment over rehabilitation.

The Window Is Closing

Miriam is 26. By 36, these systems will either be rebuilt or collapse entirely. We have maybe 5-10 years where intentional redesign is possible. After that, we’re in crisis management.

Her generation will inherit whatever we build or fail to build in that window.

Rebuilding means starting from first principles—redesigning taxes, education, housing, healthcare, and justice for an AI-driven world instead of endlessly patching obsolete systems.

What Rebuilding Requires

Start with first principles. What are we actually trying to accomplish? Given AI and modern technology, what’s the best way? The answer is almost never “patch the existing system.”

Accept that some systems need replacement, not reform. We’ve tried reforming for decades. It hasn’t worked. Income tax needs a complete replacement. College credentials need unbundling from education. Housing policy needs fundamental restructuring. Healthcare needs redesign around AI-enabled efficiency. Prisons need rethinking around rehabilitation.

Design for AI-age realities. Stop fitting AI-generated income into W-2 categories. Stop pretending four-year degrees are necessary when AI can provide personalized education. Stop allowing algorithms to price humans out of housing. Stop making people wait three months for diagnoses AI provides in minutes.

Move fast before the window closes. Every year we delay, more people take on debt for devalued degrees, pay thousands navigating incomprehensible taxes, get priced out of homeownership, and watch their families destroyed by counterproductive incarceration.

Be willing to threaten existing power structures. These systems don’t get fixed because fixing threatens those benefiting from current dysfunction. Reform requires confronting those interests.

Final Thoughts

Miriam is living through system collapse in real-time. Every major institution that should enable stable adulthood is broken, inaccessible, or actively harmful. She’s working hard, making responsible choices, and still falling behind because the infrastructure that previous generations took for granted has failed.

She’s normal. Tens of millions experience the same thing. This isn’t individual failure. It’s a system failure at scale.

We can do better. We have the technology. We have the knowledge. What we lack is political courage and institutional willingness to prioritize the next generation over preserving systems benefiting current stakeholders.

Miriam is 26. Her generation deserves better than inheriting our dysfunction. The question is whether we’ll give it to them.

We’re living amid the final generation of everyday artifacts—steering wheels, cash, and keys—soon to vanish in the age of automation and AI.

We stand at a peculiar moment in history—surrounded by objects, practices, and systems that feel permanent but are actually in their final act. The steering wheel you grip, the cash in your wallet, the keys jangling in your pocket: all artifacts of a world that’s already disappearing.

What follows isn’t science fiction. It’s a systematic catalog of the infrastructure of daily life that’s becoming obsolete, based on converging trends in automation, artificial intelligence, and digital transformation that are already well underway.

Transportation and Mobility: 10 Casualties of the Autonomous Revolution

The shift to autonomous vehicles will trigger cascading changes far beyond transportation itself. Cities will reclaim thousands of acres from parking infrastructure, converting them to housing and parks. An entire generation born after 2025 will grow up viewing manual driving the way we view horseback riding—a recreational activity, not transportation.

1. Steering wheels in new vehicles – Banned in most urban areas, optional luxury in rural zones
2. Driver’s licenses for people born after 2025 – No longer required or issued in many jurisdictions
3. Gas stations in urban centers – Converted to EV charging hubs or demolished for housing
4. Traffic lights at most intersections – Replaced by vehicle-to-infrastructure communication
5. Parking lots in downtowns – Repurposed into housing, parks, urban farms
6. Car ownership among urban millennials/Gen Z – Robotaxi subscriptions dominate instead
7. Traffic cops for moving violations – Automated systems handle all enforcement
8. Auto insurance as we know it – Shifted entirely to vehicle manufacturers/fleet operators
9. The daily commute as distinct from “being at work” – Work happens during autonomous travel
10. Parking meters and parking tickets – No longer needed with autonomous dropoff/pickup

By 2040, cash will be a relic—ATMs gone, bank branches shuttered, and everyday transactions fully digital.

Money and Transactions: 10 Financial Artifacts Going Extinct

Physical currency will become illegal or so rare that it’s collectible in developed nations—Sweden and other countries are already functionally cashless. By 2040, the transition will be complete across the developed world. The ripple effects are enormous: ATMs will disappear, bank branches will close by 80-90%, and even the social contract around tipping will vanish.

11. Physical cash in developed nations – Illegal or so rare it’s collectible
12. Credit cards with numbers on them – Entirely biometric/phone-based authentication
13. Bank branches in most neighborhoods – Reduced by 80-90%, mostly for elderly services
14. Checks (personal or business) – Completely obsolete except for some legal contexts
15. Wire transfer fees and delays – Real-time settlement is free/near-free standard
16. ATMs – Unnecessary when cash doesn’t exist
17. Tipping service workers – Automated/included in pricing or entirely replaced by service bots
18. Tax preparation services for most people – AI handles automatically with near-zero error
19. Waiting for payment processing – Everything settles instantly
20. Foreign currency exchange for travelers – Digital currencies auto-convert transparently

Work and Office Life: 12 Professional Norms Disappearing

The COVID-19 pandemic accelerated trends that were already inevitable, and by 2040, those trends reach their logical conclusion. The “9-to-5” workday will be extinct, replaced by asynchronous work norms that make the concept of “business hours” meaningless in a globally connected workplace. Email as primary work communication will be replaced by AI-mediated asynchronous tools, while most middle management positions disappear as AI coordinates teams and humans focus on vision and culture.

21. The “9-to-5” workday – Asynchronous work norms dominate most industries
22. Commuting to an office daily – 2-3 days monthly for social connection only
23. Desktop computers for most workers – Everything mobile/wearable/ambient
24. Email as primary work communication – Replaced by AI-mediated async tools
25. Performance reviews conducted by humans – AI provides continuous feedback/evaluation
26. Administrative assistants – AI handles scheduling, travel, correspondence
27. Expense reports – Automated capture and approval
28. Most middle management positions – AI coordinates teams, humans provide vision/culture
29. Résumés and cover letters – Skill verification and AI-matched hiring instead
30. The concept of “business hours” – Global async work makes this meaningless
31. Printed business cards – Digital identity sharing via proximity tech
32. Cubicles and assigned desks – Hot-desking with AI-optimized space allocation

Shopping and Retail: 11 Commerce Practices Becoming Obsolete

The weekly shopping trip will become invisible, handled by autonomous delivery systems that monitor consumption and restock automatically. Shopping malls—the few that remain—will be converted to mixed-use housing and experience centers. Even the physical experience of shopping will transform completely: size tags will disappear as body-scanned, custom-fitting becomes standard, and shopping without augmented reality overlays will be as unusual as shopping without the internet is today.

33. Cashiers and checkout lines – Fully automated scan-and-go everywhere
34. Shopping malls (most remaining ones) – Converted to mixed-use housing/experiences
35. Clothing stores with inventory in-store – Showrooms only, delivery next-day
36. Grocery shopping as a weekly chore – Autonomous delivery makes it continuous/invisible
37. Impulse buying at checkout aisles – Disappeared with cashiers
38. Returns requiring you to ship things back – Drones pick up, instant refund
39. Size tags on clothes – Body-scanned custom fitting is standard
40. Black Friday shopping in person – Entirely online, algorithmic deal-finding
41. Loyalty card keychains – Biometric ID handles automatically
42. Shopping without augmented reality – AR overlays are the default shopping interface
43. Wondering if store has item in stock – Real-time inventory visible always

The era of shared media fades as AI-curated, on-demand entertainment replaces cable, theaters, radio, and traditional album releases.

Media and Entertainment: 12 Cultural Institutions Fading Away

The scheduled, centralized media experience gives way to personalized, on-demand everything. Cable and satellite TV will be fully replaced by streaming, while 80% of movie theaters close—only premium experience venues survive. Album releases as major cultural events will disappear in favor of continuous singles and content flow, while AI analyzes your taste and recommends content more effectively than any human critic.
Cable/satellite TV subscriptions – Fully replaced by streaming

44. Cable/satellite TV subscriptions – Fully replaced by streaming
45. Movie theaters (80% of them) – Only premium experience venues survive
46. DVDs, Blu-rays, physical media – Completely obsolete
47. TV programming schedules – Everything on-demand always
48. Waiting for a show’s next season – AI generates continuation episodes between seasons
49. Album releases as major events – Continuous singles/content flow instead
50. Paparazzi photography – Deepfakes make candid photos unverifiable/worthless
51. Movie critics as gatekeepers – AI analyzes your taste, recommends perfectly
52. Video game consoles – Cloud gaming dominates
53. Printed magazines – Even holdouts finally surrender
54. Radio stations with human DJs – AI curation with synthetic personalities
55. Autographs from celebrities – Unverifiable due to deepfakes, lose value

Communication and Social: 10 Interaction Patterns Transforming

The friction in human communication—miscommunication, barriers, lost connections—gets systematically engineered away through AI mediation. Phone numbers will be replaced by identity-based calling, while voicemail becomes automatically transcribed and responded to by AI. Language barriers in communication will dissolve through seamless real-time translation, and AI will maintain weak social ties automatically, preventing the unintentional loss of relationships.

56. Phone numbers – Replaced by identity-based calling
57. Voicemail – AI transcribes/summarizes/responds automatically
58. Spam calls – AI screening makes them impossible
59. Group text message chaos – Better collaboration tools replace
60. Email spam filters you manage – AI handles perfectly without user input
61. Having to remember anyone’s contact info – AI maintains relationships automatically
62. Miscommunication due to tone in text – AI detects/clarifies emotional intent
63. Language barriers in communication – Real-time translation is seamless
64. The question “can you hear me now?” – Network quality issues solved
65. Losing touch with people unintentionally – AI maintains weak ties automatically

Healthcare and Medicine: 11 Medical Practices Being Revolutionized

The waiting room full of sick people becomes a relic as healthcare becomes continuous, predictive, and primarily home-based. Annual checkups as primary health monitoring will be replaced by continuous wearable surveillance that catches problems before they become serious. Many currently terminal cancers will become survivable through early detection and treatment, while routine surgeries requiring hospital stays become same-day robotic procedures.

66. Waiting rooms full of sick people – Telemedicine and home monitoring eliminate
67. Annual checkups as your main health monitoring – Continuous wearable monitoring instead
68. Filling out medical history forms repeatedly – Universal health records
69. Waiting weeks for test results – Most available within hours
70. Medical records on paper or fax – Finally extinct everywhere
71. Surprise medical bills – Price transparency and AI negotiation prevent
72. Dying from many currently terminal cancers – Early detection/treatment makes most survivable
73. Routine surgeries requiring hospital stays – Robotic procedures enable same-day discharge
74. Prescription refill phone calls – Automated monitoring and delivery
75. Dental cavities (mostly) – Prevention technology improves dramatically
76. Reading glasses for most people – Corrective procedures so cheap/safe they’re routine

I will replace memorization and standardized testing with personalized, experiential learning and continuous skill verification.

Education: 11 Learning Traditions Becoming History

Standardized tests, physical textbooks, and traditional homework transform beyond recognition as AI enables truly personalized learning. The entire concept of memorizing facts for exams becomes pointless when AI knows everything and instant access is universal. University as the only path to credentials will be challenged by micro-credentials and continuous skill verification, while lectures as the primary teaching method flip to interactive and experiential learning.

77. Standardized tests (SAT, ACT, etc.) – AI-based continuous assessment instead
78. Textbooks (physical) – Fully replaced by adaptive digital content
79. Homework as we know it – AI tutoring makes it personalized and unnecessary in traditional form
80. Memorizing facts for exams – Completely pointless when AI knows everything
81. Lectures as primary teaching method – Flipped to interactive/experiential
82. University as only path to credentials – Micro-credentials and skill verification dominate
83. School libraries as book repositories – Transformed into maker spaces
84. Classroom seating in rows – Collaborative spaces are universal
85. Summer break (in many districts) – Year-round flexible scheduling
86. Tenure battles – Education system restructured entirely
87. Handwriting as critical skill – Still taught but not emphasized

Home and Daily Life: 19 Domestic Routines Disappearing

The smart home becomes invisible, anticipating needs and eliminating manual tasks without requiring conscious interaction. Physical keys vanish completely, replaced by biometric and phone-based access, while manual thermostat adjustment seems comically primitive as AI optimization becomes universal. Even domestic arguments change: thermostat disputes end as AI satisfies everyone’s preferences through zoning, and running out of household essentials becomes impossible with auto-ordering systems.

88. Keys (physical) – Biometric/phone access everywhere
89. Light switches – Voice/presence-sensing replaces
90. Thermostats you adjust manually – AI optimizes automatically
91. Doing laundry and dishes yourself – Automated appliances handle completely
92. Grocery lists – AI tracks consumption, orders automatically
93. Wondering what’s for dinner – AI suggests based on inventory/preferences/nutrition
94. Lawn mowing – Robotic or replaced with native landscaping
95. House keys under the doormat – Hilariously obsolete security concept
96. Smoke detectors that beep annoyingly – Smart sensors prevent issues before alarms needed
97. Paying utility bills manually – Automated optimization and payment
98. Arguing about the thermostat – AI satisfies everyone’s preferences via zoning
99. Running out of toilet paper – Auto-ordering prevents ever
100. Vacuuming – Robotic systems clean continuously
101. Passwords for home systems – Biometric everything
102. TV remote controls with 47 buttons – Voice/gesture interface
103. Losing things in your house – Item tracking makes it impossible
104. Alarm clocks as separate devices – Phone handles everything
105. Holding doors open for people – Automatic doors sense approaching people
106. The question “got a light?” – Smoking rates so low, lighters are rare

Government and Bureaucracy: 10 Administrative Burdens Eliminated

Government finally joins the digital age, automating most citizen interactions and eliminating the painful friction points of bureaucracy. Waiting at the DMV becomes a memory as most services automate, while filing taxes manually ends as governments simply use the data they already have to file for citizens. Physical driver’s licenses and paper birth certificates give way to digital identity standards and blockchain identity from birth.

107. Waiting at the DMV – Most services automated/remote
108. Physical driver’s licenses – Digital identity standard
109. Passport photos – Biometric data replaces photos
110. Filing taxes manually – Government has all data, files for you
111. Jury duty as random selection – AI-optimized jury selection
112. Voting on a single Tuesday – Secure digital voting over weeks
113. Paper ballots in most jurisdictions – Digital with blockchain verification
114. Immigration stamps in passports – Digital travel records
115. Birth certificates on paper – Blockchain identity from birth
116. Most in-person government offices – 90% of services fully digital

By 2040, cables, mice, and keyboards will fade away as seamless voice, gestures, and wireless interfaces connect humans and technology.

Technology and Devices: 15 Gadgets and Interfaces Vanishing

The physical connection points between humans and technology dissolve into wireless, voice, and gesture interfaces. USB cables mostly disappear as wireless charging and data transfer become standard, while computer mice give way to gesture and voice controls. Keyboards diminish on most devices as voice dictation and AI composition improve to the point where typing becomes the slower, more cumbersome option.

117. USB cables (most types) – Wireless charging/data transfer standard
118. Computer mice – Gesture/voice controls dominate
119. Keyboards on most devices – Voice dictation and AI composition
120. Printer/scanner ownership – When would you ever need?
121. Desktop towers – Everything mobile or cloud-based
122. DVD/CD drives – Haven’t seen one in years
123. Headphone jacks – Fully wireless audio is universal
124. HDMI cables – Wireless display standard
125. Phone charging cables (mostly) – Wireless/long-range charging
126. Laptop bags – Devices so thin/light they’re pocket-sized
127. Computer passwords – Biometric authentication everywhere
128. Two-factor authentication texts – More secure methods replace
129. Plugging things in to sync – Everything cloud-synced automatically
130. Tech support phone calls – AI troubleshooting solves 99%
131. Wristwatches that only tell time – Smartwatches dominate or watches are jewelry only

Food and Dining: 10 Culinary Experiences Transforming

The restaurant experience and home cooking both undergo radical transformation as AI and automation reshape every aspect of food. Waiters taking orders with pens give way to tablet and voice ordering everywhere, while meal planning as a chore disappears as AI handles it based on nutrition, preferences, and inventory. Food poisoning becomes mostly preventable through comprehensive supply chain monitoring, and the price gap between fast food and healthy food narrows dramatically as automated farming and preparation equalize costs.

132. Waiters taking orders with pens – Tablet/voice ordering everywhere
133. Wondering about ingredients/allergens – AR displays full information
134. Food poisoning (mostly) – Supply chain monitoring prevents
135. Grocery store checkout lanes – Scan-and-go everywhere
136. Wondering if food in fridge is still good – Smart packaging/sensors tell you
137. Meal planning as a chore – AI handles based on nutrition/preferences/inventory
138. Restaurant reservations that get lost – Digital booking is perfect
139. Tipping anxiety – Service charge included or no human servers
140. Drive-through ordering speaker systems – AI takes orders perfectly, no miscommunication
141. Fast food as significantly cheaper than healthy food – Automated farming/prep equalizes prices

Travel and Hospitality: 10 Journey Hassles Eliminated

Travel becomes frictionless as biometrics and AI remove most pain points from the journey. Hotel check-in desks disappear in favor of automated room access via phone, while paper and digital boarding passes give way to biometric boarding. Lost luggage becomes impossible through RFID tracking, and language barriers while traveling dissolve with real-time translation earbuds that make every conversation seamless.

142. Hotel check-in desks – Automated room access via phone
143. Boarding passes (paper or even digital) – Biometric boarding
144. Lost luggage – RFID tracking makes it impossible
145. Language barriers while traveling – Real-time translation earbuds
146. Getting lost in a new city – AR navigation is perfect
147. Traveler’s checks – Already dying, fully dead by 2040
148. Hotel room keys (cards) – Phone/biometric access
149. Asking for directions from strangers – AR guidance means you never need to
150. Currency exchange fees gouging travelers – Digital currency transparency
151. Long TSA security lines – Biometric/AI screening is instant for most

Childhood and Parenting: 10 Growing-Up Experiences Changing

Technology makes children simultaneously safer and more independent while fundamentally changing what skills matter for success. Children walking to school alone becomes safer and more common again through autonomous pods and monitoring, while getting lost in a crowd becomes preventable through tracking technology. The question “what do you want to be when you grow up?” becomes meaningless as career fluidity replaces lifelong vocations.

152. Children walking to school alone – Autonomous pods/monitoring makes it safer, more common again
153. Getting lost in a crowd – Tracking tech prevents
154. Not knowing where your teenager is – Consent-based location sharing is standard
155. Memorizing multiplication tables – AI handles math, focus shifts to concepts
156. Saturday morning cartoons – Kids watch what they want, when they want
157. Allowance in cash – Digital money management from age 5+
158. The question “what do you want to be when you grow up?” – Career fluidity makes this meaningless
159. Stranger danger as taught in the 2020s – Monitoring makes children simultaneously safer and more independent
160. Report cards sent home – Continuous digital feedback to parents
161. Pen and paper for most people – Typing/voice is faster for everything

By 2040, AI will become the unseen matchmaker and mediator of human relationships, guiding everything from first dates to breakups.

Dating and Relationships: 8 Romance Rituals Transforming

AI mediates more of our intimate lives, from meeting to breaking up, fundamentally changing how relationships form and dissolve. Meeting people “organically” without apps still happens, but becomes rare, while first date anxiety about conversation topics diminishes as AI suggests talking points in real-time. Pre-date AI compatibility scoring prevents bad first dates that waste entire evenings, and AI even mediates difficult breakup conversations.

162. Meeting people “organically” without apps – Still happens but rare
163. First date anxiety about conversation topics – AI suggests talking points in real-time
164. Wondering if someone likes you – Biometric/AI analysis reads interest
165. Bad first dates that waste entire evenings – Pre-date AI compatibility scoring prevents
166. Anniversary cards – AI handles remembering and personalized messaging
167. Breakups via ghosting – AI mediates difficult conversations
168. Custody schedules requiring complicated coordination – AI optimizes based on everyone’s schedules
169. Dating someone without knowing their health/genetic compatibility – Full disclosure is standard/expected

Privacy and Security: 8 Anonymity Assumptions Inverted

Perhaps most profound: true anonymity in public spaces disappears entirely as facial recognition becomes ubiquitous. Getting away with minor crimes becomes impossible due to surveillance density, while identity theft becomes nearly impossible with biometric identification. The entire concept of privacy inverts: rather than privacy being the default assumption with public life being opt-in, transparency becomes the default, and privacy becomes an opt-in luxury.

170. True anonymity in public spaces – Facial recognition is ubiquitous
171. Getting away with minor crimes – Surveillance density makes impossible
172. Identity theft a major problem – Biometric ID makes it nearly impossible
173. Losing your wallet and being screwed – No physical wallet to lose
174. Forgetting passwords – No passwords to forget
175. Privacy as default assumption – Transparency is default, privacy is opt-in luxury
176. Unsolved crimes in areas with cameras – AI analysis solves most within hours
177. Alibi verification being difficult – Digital footprint proves location constantly

Waste and Inefficiency: 10 Resource Drains Being Eliminated

Environmental pressures and smart systems dramatically reduce waste across all domains of life. Physical junk mail finally becomes illegal or uneconomical, while single-use plastics in most contexts give way to biodegradable alternatives. Food waste from poor planning becomes preventable through AI inventory management, and inefficient home heating and cooling are reduced by 70%+ through AI optimization.

178. Junk mail (physical) – Finally illegal or uneconomical
179. Plastic bags at checkout – Banned or phased out everywhere
180. Single-use plastics in most contexts – Biodegradable alternatives dominate
181. Food waste from poor planning – AI inventory management prevents
182. Recyclables going to landfill – Automated sorting achieves 90%+ capture
183. Inefficient home heating/cooling – AI optimization reduces waste 70%+
184. Peak electricity demand problems – Smart grid/batteries smooth completely
185. Water waste from poor timing – Smart systems optimize usage
186. Yard waste – Composting automation makes it a resource, not waste
187. Fast fashion’s worst excesses – Body-scanned custom clothing reduces waste

From bar debates to weather surprises, AI erases uncertainty and boredom from everyday life.

Miscellaneous: 63 Additional Daily Experiences Vanishing

The remaining transformations span every corner of daily life, from the trivial to the profound. Wondering what song is playing becomes instantly answered by AI, while arguing about trivia facts gets settled immediately—ruining bar debates forever. Weather surprises become rare with hyperlocal forecasting, and boredom while waiting anywhere disappears as personalized content becomes always available.

188. Wondering what that song is – AI identifies instantly from seconds of audio
189. Arguing about trivia facts – AI settles instantly, ruins bar debates
190. Weather surprises – Hyperlocal forecasting is extremely accurate
191. Seasonal affective disorder (mostly) – Light therapy tech and treatment improve
192. Bad sleep from poor sleep hygiene – Monitoring and automated optimization help most people
193. Boredom while waiting anywhere – Personalized content always available
194. Photo printing – When would you even do this?
195. Asking “what time is it there?” – AI handles time zones transparently
196. The phrase “let me Google that” – Replaced by “AI, answer this”
197. Instruction manuals – AR guides you through anything
198. Assembly required furniture struggles – AR instructions make it trivial
199. Lost pets – Tracking implants/collars prevent
200. Printed receipts – Digital by default everywhere
201. Wondering if you locked the door – Smart locks confirm status remotely
202. Car keys – Phone/biometric vehicle access
203. Garage door openers as separate devices – Integrated into phone/car
204. Paper maps – Completely obsolete
205. Phone books – Already gone, fully extinct
206. Fax machines – Finally dead in last holdout industries
207. Pagers/beepers – Extinct even in hospitals
208. Answering machines – Replaced by visual voicemail/AI
209. Dial-up internet nostalgia – Too old to remember
210. Ethernet cables for most users – WiFi makes wired unnecessary
211. Replacing batteries in most devices – Wireless charging/long-life batteries
212. User manuals for software – AI assistance makes them unnecessary
213. “Press 1 for English” – AI detects language automatically
214. Hold music – Callback systems eliminate waiting
215. Busy signals – Network capacity makes impossible
216. Area codes meaning location – VoIP makes geography irrelevant
217. Collect calls – Obsolete concept
218. Phone cords – Haven’t seen one in ages
219. Rotary phones even as nostalgia – Too old to be retro
220. Pay phones – Already nearly extinct, fully gone
221. Phone booths – Kept only as historical artifacts
222. Operator assistance for calls – AI handles everything
223. Time/temperature phone numbers – Why would you call?
224. Wake-up calls at hotels – Phone alarm makes unnecessary
225. Hotel mini-bars – Drone delivery replaces
226. Room service menus – Digital ordering with AR food display
227. “Do not disturb” signs – Digital status via app
228. Hotel concierges (mostly) – AI provides better recommendations
229. Tour groups with flags – AR guidance eliminates need
230. Foreign language phrasebooks – Real-time translation makes obsolete
231. International calling cards – VoIP makes concept meaningless
232. Duty-free shopping as special – Price transparency eliminates advantage
233. Travel agencies (most) – AI planning is superior
234. Printed airline tickets – Long extinct
235. Luggage tags you write on – RFID/digital tags standard
236. Travel insurance companies (many) – Automated risk assessment changes industry
237. Car rental counters – Autonomous vehicles eliminate rental concept
238. Gas station attendants – Already rare, fully extinct
239. Full-service gas stations – Unnecessary with EVs
240. Oil change services – EVs don’t need them
241. Transmission repair shops – EVs have no transmissions
242. Muffler shops – EVs are nearly silent
243. Parking attendants – Automated systems handle
244. Valet parking (mostly) – Autonomous dropoff replaces
245. Parking validation stamps – Digital integration eliminates
246. Parking enforcement officers – Automated detection handles
247. Boot removal services – Digital enforcement eliminates boots
248. Traffic school in person – Online/AI-adaptive courses only
249. Smog check stations – EVs don’t produce emissions
250. The phrase “I need to find a parking spot” – Autonomous vehicles eliminate the concept entirely

Each innovation triggers the next—cashless economies, autonomous vehicles, and shifting work patterns cascade into a chain of disruptions redefining daily life.

Final Thoughts

These aren’t isolated predictions—they’re interconnected transformations that reinforce each other in ways that amplify disruption. Consider how one change triggers dozens of others: The death of cash enables the transformation of retail. Autonomous vehicles reshape cities. City restructuring changes real estate values and usage. Real estate changes fundamentally alter work patterns and commuting. Work pattern shifts transform hiring practices and career expectations. New hiring approaches restructure entire career trajectories. Career changes modify financial planning and life stages. Each domino triggers the next, creating a cascade that moves faster than our ability to adapt.

For Business Leaders: The Strategic Imperative

The critical question isn’t whether these changes will happen—it’s how quickly you position your organization for their arrival. Winners will recognize shifts early, restructure before transitions become crises, and build for the 2040 reality rather than optimizing for today’s comfort zone. They’ll view this list not as threats but as a map of opportunities—every disappearing practice creates space for new business models, new value propositions, new ways to serve customers.

Losers will wait for “proof” that never comes in time, optimize for a world that’s already disappearing, and confuse resistance with strategy. They’ll defend steering wheels while others build autonomous fleets, protect bank branches while others create digital banking ecosystems, invest in parking infrastructure while cities convert it to housing.

For Society: The Human Challenge

Managing these transitions humanely represents perhaps our greatest challenge. Each disappearing practice represents jobs lost, skills rendered obsolete, communities disrupted, and identities challenged. The question isn’t whether to resist—these changes are driven by fundamental efficiency gains that make resistance futile. The question is how to help people navigate the transition.

We need retraining programs at scale, social safety nets designed for disruption rather than stability, new definitions of meaningful work that go beyond traditional employment, and support systems for communities experiencing economic flux. The technology will arrive regardless; whether we thrive or fracture depends on our social and political responses.

The Uncomfortable Truth

The world of 2040 will be as foreign to us as our world would be to someone from 1985. The difference: our transformation will happen faster, with more disruption, across more domains simultaneously. Most of what we consider permanent is temporary. Most of what we think we understand about “how things work” is already wrong—we just haven’t noticed yet because the old systems still function. But functioning and thriving are different things. The VHS player worked fine in 2005; it was simply obsolete.

Key Themes Across All 250

Six powerful currents run through these predictions: Automation everywhere—tasks we assume require humans increasingly don’t. Invisibility of technology—the best tech disappears into the background until we can’t remember how we lived without it. AI mediation—an intelligence layer inserting itself between us and everything we do. Death of friction—every inconvenience, delay, and inefficiency getting systematically engineered away. Privacy inversion—the default flipping from private-unless-shared to transparent-unless-hidden. Physical becoming digital—atoms turning into bits whenever physics allows it.

Questions Worth Asking

Which of these 250 items is your business or career built on? What happens when it vanishes—not if, but when? Are you preparing for its replacement or defending its permanence? Is your strategy optimized for 2025 or 2040? What opportunities emerge as these things disappear? Who benefits from the transition and who gets hurt? What skills become worthless and which become priceless? How does your industry transform when five of these items vanish simultaneously?

The Final Question

Not: Will these things vanish? Not: Can we stop this? But: Are we ready for what replaces them?

The answer, for most people and organizations, is no. Most are operating as if 2040 will be 2025 with slightly better smartphones. It won’t be. It will be as different from today as today is from 1985—but compressed into half the time, affecting twice as many aspects of life.

The future isn’t something that happens to us. It’s something we’re building right now, one disappeared practice at a time. The opportunity isn’t in preventing these changes—that’s impossible. The opportunity is in being among the first to recognize what’s vanishing, understanding what replaces it, and positioning yourself on the right side of the transition.

The companies, communities, and individuals who thrive will be those who recognize that the future has already arrived—it’s just not evenly distributed yet. Your move is to find where it’s already happening, learn from it, and bring those lessons to where you are before disruption forces the change upon you.
These 250 items will vanish by 2040. Most will disappear sooner. The question is whether you’ll be ready.

The floundering roots of our college ecosystem are being exposed.

It has become increasingly evident that many young people are questioning the long-held belief that a traditional four-year college education is the best—or only—path to success. Rising tuition costs, mounting student debt, and uncertain job prospects after graduation have driven a growing skepticism toward the value of a college degree. At the same time, the rapid evolution of technology and shifting demands in the labor market have highlighted the need for skills-based learning and alternative career pathways.

This change reflects a broader cultural and economic shift, with more individuals seeking practical, affordable, and efficient ways to enter the workforce. The future of career preparation is evolving, with a focus on building meaningful networks, acquiring hands-on skills, and leveraging personalized education options like trade schools, certifications, online courses, and mentorships. These alternatives not only align better with individual goals but also provide direct, tangible routes to professional success in an ever-changing world.

The foundation of our higher education system is beginning to crumble.

Why Attitudes Toward College Are Changing

The shifting attitudes toward higher education are being driven by a convergence of economic, professional, and cultural factors. Economically, the skyrocketing cost of college tuition and the resulting student loan crisis have left many young people questioning whether a degree is worth the financial burden. As of 2024, student loan debt in the United States exceeds $1.7 trillion, with the average borrower carrying a debt of over $37,000. Alarmingly, the burden doesn’t end at retirement—data shows that approximately 3.5 million Americans aged 60 and older are still paying off student loans, collectively owing over $125 billion.

For many, the return on investment of a degree feels increasingly uncertain, particularly in fields where starting salaries often fail to justify the financial strain. This stark economic reality is pushing more individuals to explore alternatives that offer greater value and quicker pathways into the workforce.

At the same time, the job market is undergoing a significant transformation. Employers are placing greater emphasis on specific skills and certifications over traditional academic credentials, recognizing that practical knowledge often matters more than degrees. Industries like technology, healthcare, and skilled trades are prioritizing demonstrable expertise and hands-on experience. Furthermore, the rise of automation and artificial intelligence is reshaping roles across various sectors, creating a demand for adaptable workers who can learn and apply new tools and technologies. This shift is further diminishing the relevance of rigid, degree-based qualifications.

Culturally, younger generations are redefining what success looks like. They value flexibility, autonomy, and purpose in their careers and are increasingly moving away from the one-size-fits-all approach of attending a four-year college. Instead, they are opting for faster, more practical learning experiences that align with their unique goals and lifestyles. The rise of entrepreneurial ventures, gig work, and self-directed education highlights this generation’s desire for independence and efficiency. As these economic, professional, and cultural forces converge, the traditional college experience is losing its status as the default first step toward a career, making way for a new era of education and professional development.

Who are the people that look like what you want to become? Find them, get to know them, and make them your network.

Building a Network: The Cornerstone of Career Preparation

Building a network is one of the most critical components of career preparation, especially for those who choose to forgo traditional college education. Surrounding yourself with professionals in your desired field offers invaluable opportunities to learn from their experiences, gain insights into industry trends, and establish meaningful relationships that can lead to future opportunities. But an essential question lies at the heart of this effort: who is it that looks like what you want to become? Identifying these individuals—those who embody the skills, achievements, and values you aspire to—helps clarify your career vision and provides real-world examples of success. These individuals can be industry leaders, peers, or mentors who inspire you with their accomplishments, work ethic and approach to challenges.

Mentorship plays a particularly vital role in this process, as mentors not only provide guidance and support but also offer a window into the realities of your chosen field. By observing their paths and learning from their experiences, you can better understand the strategies and decisions that lead to success. Strong professional connections, whether with mentors or peers, can open doors to internships, job offers, and collaborative projects, making networking a cornerstone of career success.

To build a robust network and connect with people who reflect your aspirations, aspiring professionals must take proactive steps. Attending industry trade shows and conferences provides an excellent opportunity to meet experts, learn about emerging technologies, and showcase your enthusiasm for the industry. Social media platforms like LinkedIn have also become indispensable tools for connecting with professionals, joining discussions, and staying updated on job openings and industry news. Additionally, joining professional organizations or participating in online communities tailored to specific industries allows individuals to form connections with like-minded peers and mentors. By leveraging these opportunities, young people can surround themselves with individuals who look like what they want to become, creating a supportive network that not only enhances their career prospects but also keeps them motivated and focused on their goals.

One of the most overlooked yet powerful abilities people possess is the power to convene a meeting. Bringing individuals together to share ideas, solve problems, or collaborate can drive meaningful change and create opportunities. This simple act of gathering people with purpose and intention has the potential to inspire action, foster innovation, and build connections that might otherwise never happen.

The New Playbook for Careers Without College

The rise of alternatives to traditional college education is revolutionizing how young people prepare for their careers, offering practical, accessible, and affordable pathways to success. Trade schools, for example, are experiencing a resurgence as they cater to the growing demand for skilled professionals in fields like plumbing, welding, and electrical work. These vocational programs provide focused, hands-on training in a fraction of the time and cost required to earn a college degree, enabling students to quickly transition into high-paying, stable careers.

Certifications and micro-credentials have also emerged as powerful options, particularly in industries like technology, healthcare, and business, where specific skills are in high demand. Platforms like Coursera, Udemy, and Google Career Certificates empower learners to gain targeted expertise on flexible schedules and at a lower cost. These credentials signal to employers a mastery of specific competencies, making them a direct pathway to job opportunities without the traditional four-year college experience.

Tutors, mentors, and apprenticeships add a highly personalized and practical layer to this new educational ecosystem. Learning directly from a mentor or participating in an apprenticeship provides real-world experience and invaluable insights into industry-specific challenges and solutions. Whether it’s finding mentors through professional associations, networking events, or online platforms, these relationships offer guidance and skill development tailored to an individual’s career goals.

The explosion of online learning platforms, including Massive Open Online Courses (MOOCs) like Khan Academy, Skillshare, and coding bootcamps, has democratized access to high-quality education. These platforms enable learners to acquire skills in fields ranging from graphic design and software development to business management and data analytics. Countless success stories highlight how individuals have leveraged online courses to transition into new careers or build expertise in their existing fields, showcasing the transformative potential of these tools.

In addition to these structured alternatives, many young people are choosing to bypass traditional employment altogether by becoming freelancers or entrepreneurs. Freelancing allows individuals to take ownership of their work, build a client base, and develop a portfolio that showcases their abilities. It’s an ideal path for those with skills in areas like writing, graphic design, programming, or digital marketing, offering the flexibility to grow a career on their own terms. Similarly, entrepreneurship provides a platform for innovation and independence, enabling individuals to turn their ideas into viable businesses. Whether launching a small startup or developing a niche product, entrepreneurship fosters creativity, resilience, and the opportunity to learn through hands-on experience.

With such a diverse range of alternatives available, young people today have more freedom than ever to tailor their career preparation to their unique goals and aspirations. From trade schools and certifications to freelancing and entrepreneurship, these pathways offer practical and adaptable solutions for navigating the evolving demands of the modern workforce.

There are many ways to master a skill with hands-on experience.

Developing Skills Through Practical Experience

Practical experience plays a vital role in preparing for a career, allowing young people to develop real-world skills and build confidence outside of traditional academic environments. Entrepreneurial ventures, such as starting a small business or freelancing, provide invaluable opportunities for learning by doing. These experiences not only teach technical and management skills but also encourage creativity, problem-solving, and resilience. Building a portfolio of work through these ventures allows individuals to showcase their abilities and achievements, offering potential employers or clients tangible evidence of their capabilities.

Internships and part-time work are another powerful way to gain hands-on experience while exploring career interests. Working in a professional setting enables individuals to apply theoretical knowledge in practical scenarios, build expertise, and gain insights into industry operations. These experiences also expose individuals to real-world challenges, helping them develop a strong work ethic, adaptability, and interpersonal skills. Early exposure to professional environments can be a critical stepping stone, offering opportunities to network and secure future job offers.

Personal projects and hobbies can also be surprisingly effective in building transferable skills. Pursuing interests such as coding, content creation, or crafting a physical product allows individuals to explore their passions while acquiring valuable abilities that can be applied to various careers. For instance, creating a YouTube channel teaches content marketing, video editing, and audience engagement, while building a mobile app demonstrates problem-solving and technical expertise. By leveraging these experiences, young people can stand out in the workforce, demonstrating initiative, versatility, and a commitment to personal and professional growth.

Since college provides a structured environment, young people must learn to set their own goals and manage their own time.

Challenges and Considerations

Choosing to skip college and pursue alternative career paths comes with its own set of challenges and considerations, starting with overcoming societal stigma. For generations, college has been perceived as the ultimate gateway to success, and deviating from this norm often invites skepticism from family, peers, and employers. Many hold onto the misconception that skipping college equates to a lack of ambition or qualifications, creating pressure for young people to conform. However, this narrative is gradually changing, thanks to high-profile success stories of entrepreneurs, industry leaders, and skilled professionals who have thrived without traditional degrees. By focusing on results and building a strong track record, individuals can challenge these outdated perceptions and redefine what success looks like in today’s evolving workforce.

Another major challenge is the need for self-discipline and motivation. Without the structured environment of a college program, individuals must take full responsibility for setting goals, managing their time, and maintaining momentum. This level of self-direction can be daunting but is essential for success in alternative pathways. Practical strategies, such as creating a clear roadmap with achievable milestones, finding accountability partners, and regularly evaluating progress, can help individuals stay on track. Additionally, cultivating a growth mindset—viewing challenges as opportunities to learn and improve—can provide the resilience needed to navigate setbacks and uncertainties. While these paths demand greater initiative, they also foster independence and a sense of ownership over one’s career, ultimately preparing individuals for the dynamic and self-driven nature of the modern job market.

The Future of Career Preparation

The future of career preparation is rapidly evolving as employers and individuals alike rethink traditional approaches to education and workforce development. Companies are increasingly shifting their hiring practices to prioritize skills, experience, and certifications over formal degrees. This evolution is driven by the realization that many roles, particularly in technology and other fast-changing industries, require specialized knowledge that can be acquired through alternative pathways. Forward-thinking businesses are also forging partnerships with trade schools, bootcamps, and online education platforms to create tailored training programs that directly align with their workforce needs. These collaborations not only help bridge the skills gap but also provide aspiring professionals with clear, industry-specific pathways to employment.

At the same time, advancements in technology are ushering in a new era of personalized learning, where individuals can design educational experiences that cater specifically to their goals, interests, and schedules. Platforms offering micro-credentials, certifications, and modular courses empower learners to focus on acquiring the skills they need without the additional time or cost of traditional degree programs. Predictive analytics and AI-driven tools are further enhancing this trend, enabling learners to identify the most relevant skills for their desired careers and receive tailored recommendations for achieving them. As these tools continue to improve, we can expect a proliferation of accessible, affordable, and flexible educational opportunities that blur the lines between formal education, work experience, and professional networking. The future of career preparation will be defined by adaptability, collaboration, and a shift toward lifelong learning.

Every career is a puzzle, and whether you go to college or not, it all comes together one piece at a time.

Final Thoughts

The era of college being the default—or best—path for career success is fading as alternative options grow in legitimacy and appeal. While traditional higher education will always hold value for certain professions, it is no longer a one-size-fits-all solution. Instead, the focus is shifting toward building robust networks, gaining hands-on experience, and pursuing personalized education paths that cater to individual goals and career aspirations. By leveraging trade schools, certifications, mentorships, and online platforms, young people have more opportunities than ever to carve their unique paths to success.

This paradigm shift not only opens up new avenues for professional growth but also allows individuals to enter the workforce with less debt, more relevant skills, and a stronger sense of purpose. For those willing to take initiative and embrace nontraditional routes, the possibilities are endless. By viewing these alternatives as legitimate and viable, we can redefine the meaning of career preparation and inspire the next generation to create fulfilling, successful lives on their own terms. The key lies in embracing change, remaining adaptable, and recognizing that the journey to success is no longer limited to a single path.

How long before robots become our new best friends?

In recent years, two significant trends have been reshaping the global landscape: the rapid rise of robotics in various sectors of the economy and the declining birth rates in many developed countries. As robots become increasingly sophisticated, they are taking on roles that were once the exclusive domain of human workers. From manufacturing and logistics to customer service and even complex decision-making tasks, the integration of robotics is transforming industries at an unprecedented pace.

Simultaneously, many developed nations are grappling with a demographic shift of historic proportions. Birth rates have plummeted below replacement levels, leading to aging populations and a shrinking workforce. Countries like Japan, South Korea, and several European nations are at the forefront of this trend, facing the prospect of significant population declines in the coming decades.

These two phenomena, seemingly unrelated at first glance, converge to pose a provocative question: Will robots fill the economic roles traditionally held by a growing human population? As we face a future with potentially fewer children being born, the rise of robotics may offer a solution to maintaining economic productivity and growth. However, this potential solution brings with it a host of complex economic, social, and ethical implications that deserve careful consideration.

The Economic Impact of Robots vs. Children

The economic implications of replacing human population growth with robotic labor are profound and multifaceted. One of the most significant impacts lies in the realm of consumer demand, a cornerstone of modern economies.

Historically, economic growth has been driven by an ever-expanding consumer base fueled by population growth and rising living standards. Children, as they grow into adults, become consumers, driving demand for a wide range of goods and services – from diapers and toys in their early years to housing, vehicles, and various products and services throughout their lives. This continuous influx of new consumers has been a key driver of economic expansion.

Robots, in stark contrast, lack the needs and desires that drive human consumption. They don’t require food, clothing, entertainment, or the myriad of products that humans consume throughout their lives. This fundamental difference poses a significant challenge to our current economic models. As robots increasingly replace human workers and potentially fill the gap left by declining birth rates, we may see a contraction in consumer-driven industries. Sectors such as retail, real estate, and personal services could face unprecedented challenges as the traditional consumer base shrinks.

Moreover, the labor market itself is undergoing a radical transformation. As robots become more capable, they are replacing human workers in a wide array of roles. This trend, while potentially boosting productivity and efficiency, raises concerns about widespread unemployment and the displacement of human labor. The nature of work itself is likely to shift, with humans potentially moving towards roles that require creativity, emotional intelligence, and complex problem-solving skills – areas where robots (as of now) cannot easily compete.

This shift in the labor market could lead to a fundamental restructuring of our economic systems. The traditional model of humans working to earn wages, which they then spend as consumers, may need to be reimagined in a world where robots perform much of the labor but do not contribute to consumption.

As we navigate this transition, we must grapple with challenging questions: How do we maintain economic growth in a world with potentially fewer consumers? How do we ensure meaningful work and income for humans in an increasingly automated economy? And perhaps most fundamentally, how do we redefine prosperity and progress in a world where traditional metrics of economic success may no longer apply?

Restaurant owner with multiple robotic arms, serving food, taking orders, and cleaning simultaneously.

Social and Cultural Implications

The potential replacement of human population growth with robotic labor extends far beyond economic considerations, touching the very core of how we define ourselves as individuals and as a society. As we navigate this unprecedented shift, we are compelled to reconsider fundamental aspects of human existence and societal structure.

Historically, work has been a primary source of purpose and fulfillment for many individuals. It has provided not just financial sustenance but also a sense of identity, achievement, and social connection. In a world where robots increasingly take over traditional jobs, we face the challenge of redefining human purpose and fulfillment. This shift may necessitate a reevaluation of our values, pushing us to find meaning beyond our occupations. We might see a greater emphasis on personal growth, creativity, relationships, and community involvement as sources of fulfillment.

Societal values and priorities are likely to undergo significant shifts in response to this changing landscape. The traditional emphasis on productivity and economic growth as measures of societal success may give way to new priorities. We might see a greater focus on well-being, sustainability, and quality of life rather than purely quantitative economic metrics. Education systems may need to be overhauled to prioritize uniquely human skills such as emotional intelligence, creativity, and adaptability rather than preparing students for jobs that may no longer exist.

Perhaps one of the most profound changes could occur in the realm of family and generational structures. With declining birth rates and the potential for robots to fill economic roles traditionally held by a growing population, the very concept of family might evolve. We may see a shift away from the nuclear family model, with alternative family structures becoming more common. The role of children in society could change, moving from being seen as future workers and consumers to being valued more for their unique human qualities and potential for innovation and creativity.

Intergenerational relationships may also be reshaped. In a world with fewer children and potentially longer lifespans due to medical advancements, the balance between generations could shift dramatically. This could lead to new forms of intergenerational cooperation and knowledge transfer, but also potential conflicts over resources and societal priorities.

Humans and robots working together in an industrial bakery.

Economic Models in Flux

The scenario of robots potentially replacing the economic roles of a growing human population challenges the very foundations of our current economic theories and models. As we navigate this uncharted territory, there is an urgent need for new economic thinking that can account for a world where traditional drivers of growth – population increase and rising consumer demand – may no longer apply.

One of the most pressing needs is for economic theories that can model and predict outcomes in an economy where a significant portion of labor is performed by non-consuming entities. Traditional economic models often assume a cycle of production and consumption driven by human needs and wants. In a robot-driven economy, this fundamental assumption is challenged, necessitating a rethinking of how value is created, distributed, and measured.

As robots take over more routine and even complex tasks, there may be a shift towards an economy that places greater emphasis on uniquely human
capabilities. This could lead to a renewed focus on human-driven services and creative industries. Fields such as art, design, scientific research, personal care, and bespoke craftsmanship might become more central to the economy. In this scenario, human labor could be valued more for its creative and empathetic qualities rather than its productive capacity in traditional terms.

However, this shift presents significant challenges to our traditional metrics of economic growth and success. Gross Domestic Product (GDP), for instance, may become an increasingly inadequate measure of societal well-being and progress in a world where robot-driven productivity doesn’t necessarily translate to human welfare. New metrics might need to be developed that can better capture quality of life, sustainability, and human fulfillment.

Moreover, the concept of productivity itself may need to be redefined. In an economy where robots handle most production, human productivity might be measured more in terms of innovation, problem-solving, and social contribution rather than output per hour worked.

The distribution of wealth in such an economy also poses significant challenges to current economic models. With robots owning no wealth and having no need to consume, new mechanisms for circulating money and resources through the economy may need to be devised. This could potentially lead to explorations of ideas like universal basic income, stake-holding societies, or new forms of communal ownership.

As we grapple with these changes, economists, policymakers, and society at large will need to engage in a fundamental rethinking of what constitutes a successful and sustainable economy. This may require us to move beyond the paradigm of endless growth and consumption towards models that prioritize human well-being, environmental sustainability, and the unique value that human creativity and consciousness bring to the world.

Wealth Distribution and Policy Challenges

The potential shift towards a robot-driven economy presents significant challenges in terms of wealth distribution and necessitates innovative policy solutions. As robots increasingly take over roles traditionally filled by human workers, we may see a dramatic shift in how wealth is created and distributed within society.

In a robot-dominated economy, wealth is likely to become increasingly concentrated in the hands of those who own the means of production – in this case, the robots and the AI systems that drive them. This could lead to an unprecedented concentration of wealth in capital rather than labor, exacerbating existing inequalities and potentially creating new forms of economic disparity.

To address these challenges, policymakers may need to consider radical new approaches to wealth distribution. One frequently discussed solution is the implementation of a Universal Basic Income (UBI). In a world where traditional employment opportunities are scarce, a UBI could provide a safety net, ensuring that all members of society have access to basic necessities. However, the implementation of such a system would require a fundamental restructuring of our tax systems and social policies.

Beyond UBI, other policy innovations might include new forms of profit-sharing, where the benefits of robot-driven productivity are more evenly distributed throughout society. We might also see the emergence of new economic models that value and compensate forms of work that robots cannot do, such as caregiving, creative pursuits, or community building.

Addressing inequality in a robot-driven economy will likely require a multi-faceted approach. This could include progressive robot taxes, where companies pay taxes based on the number of human workers displaced by automation. Education and retraining programs will be crucial to help humans develop skills that complement, rather than compete with, robotic capabilities. Additionally, we may need to reconsider our intellectual property laws to ensure that the benefits of AI and robotic innovations are shared more broadly across society.

Robot childcare opens the door to a vast array of possibilities.

Environmental Considerations

The environmental implications of a shift towards a robot-driven economy in place of population growth are complex and multifaceted. On one hand, reduced human population growth could lead to a significant decrease in consumption-driven environmental degradation. Fewer humans means reduced demand for resources, potentially easing pressures on ecosystems, reducing carbon emissions, and slowing climate change.

However, the environmental costs of robot production and operation must also be considered. The manufacturing of robots and AI systems requires significant resources, including rare earth metals and energy-intensive processes. The operation of these systems also consumes energy, which, depending on the source, could contribute to carbon emissions and other forms of pollution.

Yet, there’s also potential for robots to contribute to more sustainable economic systems. Robots could be designed and programmed with sustainability as a primary goal, potentially making production processes more efficient and less wasteful than human-driven systems. They could be used to optimize resource use, manage waste more effectively, and even aid in environmental restoration projects.

Moreover, a robot-driven economy might allow for a fundamental restructuring of our economic systems away from the current model of continuous growth and consumption. Without the need to create jobs for a growing population, we might be able to design economic systems that prioritize sustainability and environmental protection over pure economic growth.

Ethical and Philosophical Questions

The prospect of robots replacing the economic roles of a growing human population raises profound ethical and philosophical questions about the nature of human existence and our place in the world.

In a society less dependent on human labor, we may need to reevaluate how we ascribe value to human life. Traditionally, much of a person’s perceived value to society has been tied to their productive capacity. In a world where robots handle most production, we may need to develop new frameworks for understanding and appreciating the intrinsic value of human life, independent of economic output.

This shift would likely require a fundamental redefinition of the relationship between work, identity, and fulfillment. For centuries, work has been a primary source of identity and a key means of finding purpose and meaning in life. As traditional forms of work become less available or necessary, we’ll need to find new ways to construct identity and find fulfillment. This might lead to a greater emphasis on personal growth, creativity, relationships, and community involvement as sources of meaning and self-worth.

The ethical considerations of replacing human population growth with robots are complex. On one hand, it could be seen as a solution to many of the challenges associated with overpopulation, including resource scarcity and environmental degradation. On the other hand, it raises questions about the fundamental nature of human societies and whether a world with fewer humans is desirable, regardless of economic efficiency.

There are also important considerations around the autonomy and rights of robots themselves. As AI systems become more sophisticated, we may need to grapple with questions of robot consciousness, rights, and moral standing. This could lead to entirely new fields of robot ethics and robot rights, further complicating our understanding of society and social responsibility.

Families will rest easier knowing their loved ones are getting the best possible care.

Final Thoughts

The interplay between declining birth rates and increasing automation presents one of the most complex and consequential challenges of our time. As we’ve explored, the potential for robots to fill the economic roles traditionally held by a growing human population has far-reaching implications for our economic systems, social structures, environment, and even our understanding of what it means to be human.

The path forward is not clearly defined, and potential outcomes range from utopian to dystopian visions of the future. In a utopian scenario, robots could free humans from tedious labor, allowing for a society focused on creativity, personal growth, and fulfillment. Resources could be more evenly distributed, and we could see unprecedented advances in science, art, and quality of life. Environmental pressures could be reduced, leading to a more sustainable world.

However, a dystopian outcome is equally possible if this transition is not managed carefully. We could see extreme inequality, with wealth concentrated in the hands of a few robot owners, while the majority of humanity struggles with unemployment and loss of purpose. Social unrest, environmental degradation from unchecked robot production, and a loss of human autonomy to increasingly powerful AI systems are all potential risks.

The reality is likely to fall somewhere between these extremes, and the outcome will depend largely on the choices we make today and in the coming years. This underscores the critical need for proactive planning and policy-making to navigate this transition successfully.

We need interdisciplinary collaboration between economists, technologists, ethicists, environmental scientists, and policymakers to develop comprehensive strategies for this new world. This might include rethinking our education systems to prepare people for a robot-dominated economy, developing new economic models that can account for non-human labor, creating policies to ensure fair distribution of robot-generated wealth, and establishing ethical guidelines for the development and deployment of AI and robotics.

Ultimately, the question “Will robots replace the kids we’re not having?” is not just about economics or technology. It’s about the kind of society we want to create and the role we envision for humanity in an increasingly automated world. As we stand at this crossroads, it’s crucial that we approach these challenges with wisdom, foresight, and a commitment to creating a future that benefits all of humanity.

As a futurist, I view the future not as an inevitability but as a blank slate, ripe for the imprint of our deepest hopes and desires.

Many of my friends are well aware of my fixation with unearthing the perfect quote, a quote that encapsulates the essence of what I’m trying to say in the moment. But it’s not easy. Creating the right quote is most often an elaborate wordsmithing exercise that, if done correctly, will result in a highly repeatable phrase retold over and over again by some of the world’s brightest people. That doesn’t happen very often.

Somehow I know when I hit upon a great quote because it strikes a chord inside of me, echoing my desire to find the core truths of human existence. These words are far more than echoes of days gone by; they are the guiding lights that will help usher us into a remarkably better future.

As a futurist, I view the future not as an inevitability but as a blank slate, ripe for the imprint of our deepest hopes and desires. This column is my rallying cry to harness the dynamic energy of foresight and action to construct a future that remains to be discovered, steadfast in our conviction that beyond the adversities of the past lies a future that can exceed our wildest imaginings.

Why Quotes?

Famous quotes become memorable and significant due to a combination of attributes, properties, and elements. Here are a few key attributes:

1. Brevity and Clarity: A memorable quote is often short and to the point. It conveys a complex idea or emotion in a few words, making it easy to remember and repeat.
2. Universal Appeal: Significant quotes often touch on themes or experiences that are universal. This makes them relatable to a wide audience across different cultures and time periods.
3. Emotional Resonance: Quotes that evoke strong emotions, whether it’s inspiration, humor, sadness, or wisdom, tend to stick in people’s minds. Emotional impact is a powerful tool in making a quote memorable.
4. Originality: A quote that offers a new perspective or an original thought stands out. It provides a fresh way of looking at familiar concepts, which can be enlightening and thought-provoking.
5. Use of Literary Devices: The use of metaphors, similes, alliteration, or rhymes can make a quote more appealing and memorable. Such literary devices add a layer of depth and beauty to the words.
6. Timing and Context: Sometimes, the significance of a quote is amplified by the context in which it was said or by its relevance to current events or universal truths. A quote that perfectly captures the essence of a moment can become timeless.
7. Credibility of the Speaker: Quotes from individuals who are respected, famous, or hold authority in their field often carry more weight. The reputation and achievements of the speaker can lend credibility to the words.
8. Wisdom and Insight: Quotes that provide profound insights, wisdom, or life lessons tend to be remembered and quoted often. They offer valuable guidance or reveal truths about life, society, or human nature.
9. Visual and Auditory Appeal: How a quote sounds when spoken or how it looks in writing can also impact its memorability. A rhythmic or visually striking arrangement of words can enhance a quote’s appeal.
10. Cultural and Historical Significance: Quotes that are tied to significant historical events, cultural movements, or societal changes often gain importance and memorability due to their association with these pivotal moments.

Each famous quote may not embody all these elements, but a combination of several can greatly increase its chances of becoming memorable and significant.

1. “Virtually every successful person starts with two core beliefs: the future can be better than the present, and I have the power to make it so!”

The foundation of success is often built upon a dual set of convictions: an optimistic view that the future holds greater potential than the current state of affairs, coupled with a sense of personal agency and the belief in one’s own ability to effect change. This mindset propels individuals to take initiative and persevere through challenges, fostering the resilience and drive necessary to transform aspirations into reality. It’s this combination of hopeful foresight and self-empowerment that fuels progress and achievement, encouraging a proactive approach to life and the confidence to shape one’s own destiny.

2. “When it comes to designing machines to replace humans, we often forget how enormously complex we are!”

In the endeavor to automate our world, there’s a tendency to underestimate the intricacies of human nature. The pursuit of creating machines that can take on roles typically reserved for people brings to light the depth of human complexity. This journey of technological advancement is not just about replication but understanding—a reminder of the intricate tapestry of human thought, emotion, and creativity that technology strives to parallel, and the immense scope of what it means to be human. As we stand on the brink of these technological leaps, it’s a moment to reflect on the richness of human capacity that machines aspire to emulate.

3. “If we continue to insert a teacher between us and everything we need to learn, we can’t possibly keep up with the demands of the future!”

Relying solely on traditional, teacher-led education is insufficient for keeping pace with the rapid changes and learning demands of the future. It implies that the volume and speed of new information and skills required in the future will outstrip the capacity of conventional education methods, where knowledge is typically disseminated through a teacher. This perspective encourages self-directed learning and the use of technology and other resources to learn independently. It advocates for a more proactive, autonomous approach to education, where individuals seek out information and teach themselves rather than waiting for formal instruction. The underlying message is that adaptability and the ability to learn continuously and efficiently are crucial skills in an ever-evolving world.

4. “We’re entering a world that will require higher caliber people to make it work, and it is preposterous for us to think our existing systems can suddenly start producing better results.”

As the complexity of the world grows, there is a growing demand for people with higher-level skills to manage and advance our societal and technological systems. The idea that current educational and developmental frameworks can meet these escalating requirements without significant change is unrealistic. It’s essential that these systems evolve and adapt to better prepare individuals for the intricate challenges ahead. Emphasis on innovation in learning and skill acquisition must be prioritized to ensure that the workforce can navigate and succeed in an increasingly demanding future landscape.

5. “Over the coming decades, we will become exponentially more fixable – trainable, repairable, improvable, and even reinventable. It will no longer be about who we are today, but who we have the potential to become.”

In the near future, the focus on human ability and development is set to undergo a profound shift. Advancements in technology and a deeper understanding of human capacity will enable individuals to enhance their skills, heal their bodies, and optimize their potential to a degree previously thought unimaginable. Personal identity will be seen as a dynamic concept, with an emphasis on the myriad possibilities that one can realize through learning and self-improvement. The essence of this change lies in the belief that the essence of a person is not fixed but is an ever-evolving set of capabilities that can be continually developed and expanded.

6. “With AI, we’re not just climbing mountains; we’re equipping ourselves with wings to soar across an endless sky of potential!”

Embracing AI in our lives is like unlocking a new realm of possibilities. It’s not just about overcoming challenges but about drastically expanding our capabilities. Imagine AI as a catalyst that transforms our daily experiences and professional endeavors, allowing us to venture into areas we’ve never imagined. This perspective encourages us to view AI not merely as a tool but as a gateway to uncharted territories of innovation, creativity, and personal growth. It’s an invitation to explore and harness the vast potential that AI brings to our individual lives.

7. “When it comes to education, we have met the enemy, and it is us. Ironically, we need to step aside so AI and automation can help us unlock the person we were truly meant to be!”

In the context of education, there is an emerging recognition that the greatest obstacle to progress may be our traditional approaches and reluctance to embrace new methodologies. Paradoxically, the path to self-actualization and the realization of our fullest potential may lie in allowing artificial intelligence and automated systems to take a more prominent role in the learning process. These technologies have the capacity to tailor educational experiences to individual needs and preferences, potentially leading to a more effective and personalized development journey. By stepping back from conventional methods, we might enable these advanced tools to guide us toward unlocking our inherent capabilities and discovering our true selves.

8. “Artificial Intelligence doesn’t just open doors; it creates a universe where doors no longer exist!”

9. “What meets the eye is but a fraction of the grand tapestry of our existence! The unseen, like an elusive muse, shapes and sculpts the visible, breathing the whispers of life into the silent orchestrations happening behind the scenes!”

10. “Much like particles in an accelerator, when vision and action collide, they release the energy that powers our transformation into the future!”

11. “With AI as our partner & collaborator, we are not just problem-solvers; we become the architects of a future yet to be imagined!”

When we collaborate with artificial intelligence, we’re stepping into a role far greater than mere problem-solvers. It’s a shift towards becoming the visionaries and builders of a world that’s yet to unfold. This partnership with AI isn’t just about tackling the challenges at hand but about unlocking a realm of possibilities that redefine what we can create and achieve. It’s an opportunity for each of us to contribute to a future that’s as boundless as our imagination, driven by the synergy of human ingenuity and advanced technology.

12. “Just because the past didn’t turn out the way you had hoped doesn’t mean the future can’t be even better than you imagined!”

Disappointments in the past do not necessarily dictate the quality of the future; there remains a possibility for a future that surpasses one’s dreams. This concept emphasizes the importance of not letting previous setbacks limit one’s outlook. It encourages optimism and the belief that there is always potential for a brighter tomorrow. By remaining open to this idea, individuals can maintain hope and continue to strive towards a future that may hold unexpected joys and successes, potentially exceeding their initial aspirations.

Final Thoughts

This unusual collection of quotes is far more than just a bundle of sayings; it’s a reflection of my deep-seated belief in the power of words to inspire action and invoke change. Each quote has been chosen for its ability to spark the imagination and challenge the status quo, to serve as a stepping stone towards the great unknown that lies ahead. As you absorb the wisdom contained within these pages, I hope you will carry it with you as a source of strength and inspiration, using it to navigate the complex journey of life.
I have always believed that we are the masters of our own destiny, capable of shaping a future that reflects our highest aspirations and boldest dreams. The future beckons with open arms, promising a reality that transcends our past achievements and current expectations.
Let these words inspire you, as they have inspired me, to transcend the ordinary and venture into the extraordinary, crafting a legacy that will resonate for generations to come. Remember, the path to tomorrow is paved with the insights of yesterday, and every step forward is a step into a future that we have the privilege to create.

AI is making each of us exponentially more capable, which will cause us to take on exponentially bigger projects!

Counter to most people’s thinking that AI will be used to kill jobs and reduce our workforce, AI will instead become the greatest job creator of all time. AI will make each of us exponentially more capable and exponentially more accomplished, and for this reason, we will begin to take on exponentially bigger projects. It will open the door to mega projects, even giga projects. All this activity will spawn exponentially more startups, with each of them requiring exponentially more employees.

In spite of all this ramping up and increased AI involvement, human learning is still the key to our future!

The Rise of AI in Society

In just a few short months, AI has become truly pervasive. From the convenience of virtual assistants like Amazon’s Alexa to the precision of IBM Watson assisting in healthcare diagnostics, AI’s presence is ubiquitous. In finance, AI algorithms are revolutionizing trading and risk management, while in transportation, autonomous vehicles by companies like Tesla and Waymo are redefining mobility.

A landmark breakthrough was Google DeepMind’s AI, AlphaGo, which defeated the world champion in the complex board game Go, signifying AI’s advanced problem-solving capabilities. However, public sentiment remains mixed, with AI often portrayed in the media as either a technological marvel or a looming threat to human employment.

Dispelling the Myths of Job Displacement

Still, the fear of AI-induced job losses is a significant concern, with Oxford Economics predicting that up to 20 million manufacturing jobs could be automated away by 2030. Yet, this perspective overlooks the historical pattern of technology-driven economic shifts where new technologies have always led to job transformations rather than net job losses.

The concept of ‘creative destruction’, coined by economist Joseph Schumpeter, aptly describes this phenomenon where old industries are disrupted, but new opportunities arise, often leading to more and better employment prospects.

The Promise of AI: A Net Increase in Job Creation

Contrary to popular belief, AI is poised to be a net creator of jobs and a catalyst for new entrepreneurial ventures. Its ability to augment human capabilities and enhance efficiency opens the door to an era of significant economic growth and innovation.

PwC estimates that AI could contribute up to $15.7 trillion to the global economy by 2030, with increased productivity and consumer demand. This column will delve into how AI is reshaping the labor market, fueling the startup ecosystem, and necessitating a realignment of the workforce.

As we explore AI’s transformative impact, it’s important to note that it is not just replacing jobs but creating a new paradigm of work where AI and humans collaborate on developing a prosperous future.

The future of work in an AI-driven world is not one of diminished prospects but transformed opportunities!

The AI Effect on the Job Market

The narrative of technology as a disruptor is as old as industry itself. The Luddite movement of the early 19th century, with skilled artisans smashing mechanized looms, is an early example of resistance to technological change due to the fear of job loss. Yet, history has consistently shown that while technology can render certain jobs obsolete, it also spawns new sectors and vocations. During the Industrial Revolution, the workforce transitioned from agriculture to manufacturing; in the late 20th century, the advent of the internet gave rise to entire industries that previously didn’t exist, from web development to digital marketing.

Today, AI poses a similar paradigm shift. Jobs involving repetitive, routine tasks are most at risk. According to a report by McKinsey Global Institute, activities like physical labor in predictable environments, data collection, and processing are likely to be automated, affecting positions in manufacturing, retailing, and data entry. However, the same report suggests that this will catalyze the creation of jobs in developing and deploying new technologies, managing the human-machine interface, and attending to tasks that require social and emotional skills, which AI cannot replicate.

The nature of work is undeniably changing, pivoting away from repetitive tasks toward roles that require creativity, decision-making, and strategic thinking. For instance, AI tools can analyze legal documents more efficiently than humans, but lawyers are still needed for complex negotiations and court appearances. In medicine, AI can help diagnose diseases from images more accurately than human doctors, yet the physician’s role is expanding into areas requiring human touch and judgment.

The future of work in an AI-driven world is not one of diminished prospects but transformed opportunities. The key lies in recognizing the evolving landscape and proactively adapting to it—turning AI into a partner that enhances human capabilities rather than a replacement that diminishes them.

What will your next job opportunity look like?

The Startup Ecosystem Revolution

As we venture into the new age of artificial intelligence, the startup ecosystem is experiencing an unprecedented revolution. AI is not only enabling existing businesses to thrive; it’s also the catalyst for a burgeoning breed of enterprises. Here are three reasons for this new breed of enterprises.

1. Case Studies of AI-Enabled Startups

Take the story of Blue River Technology, acquired by John Deere for $305 million. This startup’s “See & Spray” technology uses computer vision and machine learning to manage crops, reducing herbicide use by an astonishing 90%. Then there’s Zipline, an AI-driven startup delivering medical supplies via drones across Rwanda and Ghana, which has drastically improved supply chain inefficiencies and access to essential health products in remote areas.

2. Lowering Barriers to Entry

AI is democratizing entrepreneurship. Consider Casetext, a legal research startup utilizing AI to make comprehensive legal information more accessible, thereby leveling the playing field between large law firms and independent practitioners. Similarly, Chatbot technologies, such as those developed by Ada Support, allow small businesses to provide customer service at a scale previously only attainable by corporations with vast resources.

3. Identifying Market Gaps and Opportunities

AI is particularly adept at recognizing patterns and extrapolating insights from massive datasets—capabilities that startups are leveraging to identify and capitalize on market gaps. Stitch Fix, for example, uses algorithms to personalize clothing items for customers, a service that has filled a unique niche in the e-commerce space. Moreover, BenevolentAI harnesses AI to accelerate medical research, identifying treatment opportunities that may have otherwise been missed.

The role of AI in the startup ecosystem is multifaceted and profound. It’s not just a tool for innovation but a foundational element that is reshaping how businesses are conceived, operated, and scaled. As we look to the future, the symbiosis of AI and entrepreneurial spirit promises a landscape ripe with opportunities for those ready to embrace the AI revolution.

The AI-driven economy is not a zero-sum game but a multiplying force provided we embrace it with open arms and a willingness and readiness to adapt!

The Emergence of New Job Categories

The advent of AI is not a harbinger of job scarcity but a beacon for new job creation. This technological leap forward has catalyzed the birth of roles and industries that are as revolutionary as the technology itself. Here are three illustrations of emerging job categories.

1. Spotlight on New Roles and Industries

The landscape is rapidly evolving, with AI-driven industries like autonomous transportation, AI-personalized healthcare, and AI-enhanced cybersecurity emerging. Jobs like AI ethics officer and machine learning facilitator are gaining traction. For instance, Nauto, an AI technology company improving the safety of commercial fleets, relies on machine learning specialists to fine-tune their algorithms. Similarly, PathAI employs AI to assist pathologists in diagnosing and treating diseases, necessitating a new breed of AI-savvy healthcare professionals.

2. Reskilling and Upskilling: A Workforce in Transition

As routine tasks are automated, there is a growing emphasis on reskilling workers for the AI era. Programs like Amazon’s Upskilling 2025 initiative aim to retrain workers, while IBM’s New Collar jobs focus on roles where skills matter more than degrees. These programs are vital in transitioning workers into burgeoning fields where human-AI collaboration is quintessential.

3. The Crucial Role of Educational Institutions

Colleges and universities are rethinking their curriculums to prepare students for an AI-integrated economy. MIT’s Schwarzman College of Computing is a prime example, designed to educate the bilinguals of the future—those fluent in both their field and AI. Meanwhile, Stanford’s Institute for Human-Centered Artificial Intelligence aims to guide AI’s development and application for human benefit, training individuals who can lead the charge in ethical AI implementation.

The emergence of these new job categories underscores a clear message: the AI-driven economy is not a zero-sum game but a multiplying force for the workforce, provided we embrace the change with open arms and a readiness to adapt.

We are opening the door to a whole new class of human potential, not a force to be feared but one to be harnessed!

The Expansion of Human Potential

In the rapidly evolving AI landscape, the story is not one of replacement but augmentation. AI’s greatest potential lies in its capacity to expand human capabilities, allowing us to reach new heights in efficiency, creativity, and problem-solving.

1.) AI as a Collaborative Partner

Rather than taking over jobs, AI is increasingly serving as a tool that complements human skills. In healthcare, AI systems like IBM Watson are augmenting physicians’ diagnostic processes, enabling them to analyze medical data at superhuman speeds. In the creative industries, AI like OpenAI’s DALL-E generates images from textual descriptions, providing artists with new canvases of inspiration. Meanwhile, in the area of customer service, AI chatbots are handling routine inquiries, freeing up human agents to tackle more complex customer needs.

2. Solving Global Challenges with AI

The true promise of AI extends to its potential to address some of the world’s most pressing problems. AI algorithms are being used by startups like RecycleAI to improve recycling processes, thereby enhancing sustainability efforts. In the fight against climate change, ClimateAI is harnessing predictive analytics to anticipate climate risks and inform better decision-making.

3. The Imperative of Ethical AI

The expansion of human potential through AI must be underpinned by ethical use. Organizations like The Partnership on AI, which includes tech giants such as Google and Microsoft, are collaborating to ensure AI advancements are aligned with human values and societal well-being. Ethical AI frameworks are becoming a cornerstone of AI development, with initiatives like the EU’s Ethics Guidelines for Trustworthy AI guiding companies towards responsible innovation.

As we forge ahead, it’s clear that AI is not a force to be feared but one to be harnessed. By directing AI towards the enhancement of human capabilities and the betterment of society, we ensure that this powerful technology serves, above all, the interests of humanity.

Whether we’re harnessing AI for societal benefits or carving out a new career path, AI is proving to be a substantial job creator and not the job displacer it’s often feared to be!

Case Studies: AI as a Job Creator

The transformative power of AI is not just theoretical; it’s evidenced by the flourishing of businesses and individuals who have embraced this technology. Here are some examples:

1. Successful Business Pivots through AI

Adobe, an industry leader in creative software, has embraced AI, enhancing its products with intelligent features like content-aware fill and sophisticated marketing predictive analytics. This strategic shift towards AI not only preserved existing jobs within Adobe but also led to the creation of novel positions, including AI engineers and user interface designers with a focus on AI integrations.

2. Startups Driving Social Good with AI

In the area of social entrepreneurship, AI for Good is a movement exemplified by companies like Destácame in Chile, which uses AI to build financial profiles for underserved populations, enabling access to credit and financial services. Their work has not only created jobs within the company but also facilitated employment for others by helping them secure loans to start their own businesses.

3.) Individuals Excelling in AI-Infused Careers

On the individual level, we see profiles like Sara, an AI Data Analyst at a renewable energy firm, who transitioned from a traditional data role thanks to reskilling programs. Sara’s work now involves training machine learning models to predict energy yields from solar panels, a job that didn’t exist a decade ago but is crucial in today’s data-driven energy sector.

These case studies are a testament to AI’s job-creating potential. Whether it’s large corporations adapting to the AI wave, startups harnessing AI for societal benefits, or individuals carving out new career paths within the AI sphere, AI is proving to be a substantial job creator and not the job displacer it’s often feared to be.

As we learn to leverage an AI-integrated future, these emerging technologies will begin to enhance human work rather than replace it!

The Support Structure for Transition

As the dawn of an AI-integrated economy brightens, the need for a comprehensive support structure to navigate the transition becomes paramount. Over the coming years, we will need a multifaceted approach to prepare the global workforce for the seismic shifts brought about by AI.

1. Government Initiatives for Job Transition

A robust support structure is critical for a smooth transition into the AI-augmented job market. Government initiatives play a pivotal role here. For instance, the American Workforce Policy Advisory Board seeks to develop a national strategy for workforce development that adapts to the automation era. In Singapore, the SkillsFuture initiative offers citizens credits to attend courses that improve job readiness in a digitizing economy, covering areas like AI and data analytics.

2. Private Sector Support

On the private sector front, companies like Amazon and AT&T have set exemplary standards. Amazon’s Upskilling 2025 pledges to invest $700 million to retrain 100,000 employees for higher-skilled jobs in technology. AT&T’s Future Ready initiative is another ambitious program investing in its workforce through career-focused education.

3. Creating a Conducive Legal and Economic Framework

A supportive legal and economic framework is crucial for these transitions. This includes tax incentives for companies investing in employee retraining and amendments to labor laws that reflect the new work paradigms AI is creating. The European Union, for example, has been proactive in this area with its Digital Europe Program, which invests in digital technologies and ensures that the digital transition is socially fair.

4. Fostering Public Acceptance

Public perception and acceptance are equally important. Education campaigns that explain AI’s benefits and debunk myths can shift public opinion. For example, Finland’s AI Education Program aims to educate 1% of its citizens on the basics of AI, hoping to increase public comfort with the technology.

A supportive transition structure that combines government policy, corporate responsibility, educational initiatives, and public acceptance is essential. With these in place, the workforce can move confidently into an AI-integrated future where technology serves to enhance human work rather than replace it.
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The workforce of the future will be characterized by AI literacy, harmonious human-AI collaboration, and a culture of continuous learning!

The Future Workforce: AI Literacy and Beyond

In the fast-approaching future, a new skill set will be as fundamental as reading and writing—AI literacy. As artificial intelligence weaves itself into the fabric of industry, understanding its mechanisms, strengths, and boundaries will be paramount for the workforce. These three sections delve into the critical importance of AI proficiency, the evolving partnership between humans and intelligent machines, and the perpetual learning imperative that will define the professional landscapes of tomorrow.

1. AI Literacy: A New Fundamental Skill

The workforce of the future will not only need to be proficient in basic digital skills but also in AI literacy. This means understanding how AI works, its capabilities, and its limitations. For instance, Google’s AI for Everyone course is designed to educate individuals about AI concepts, and Microsoft’s AI Business School offers learning paths on integrating AI into business strategies.

2. Harmonious Human-AI Collaboration

Envisioning a future where AI and humans work in synergy is already becoming a reality. Collaborative robots, or ‘cobots’, such as those produced by Universal Robots, are designed to work alongside humans, enhancing productivity and safety. AI-powered tools like Salesforce’s Einstein provide salespeople with insights to make better decisions, exemplifying how AI can be a partner rather than a replacement.

3. Continuous Learning as the New Norm

The concept of continuous learning will be integral to the future workforce. With AI’s rapid evolution, staying current will require an ongoing commitment to learning. Initiatives like LinkedIn Learning and Coursera for Business are at the forefront, offering courses that enable workers to upskill at their own pace. Companies like PwC have pledged to invest $3 billion in job training for their employees over the next four years, ensuring their workforce remains agile and informed.

The future workforce landscape will be characterized by AI literacy as a basic competency, harmonious human-AI collaboration, and a culture of continuous learning, ensuring that workers are not only prepared for the jobs of today but are also adaptable to the jobs of tomorrow.

The research labs of the industrial era have given way to a new toolkit paradigm that revolves around the manipulation of data, audio, video, sensory inputs, cloud computing, geospatial information, and digital assets!

The Future Workforce: AI Literacy and Beyond

It seemed like a good idea to close out 2022 with an overview of the ten most impactful columns of the year. The rating system we used was one where the editors at FuturistSpeaker.com all weighed in and decided which columns would most likely have a significant impact over time. With that thinking in mind, here is what we came up with:

1. We Didn’t Arrive Here by Accident

What do we know about human purpose and whether humans were placed on planet Earth by a divine force or whether our presence is the result of randomness and chance? In this column, I discuss the thinking of several past and contemporary experts, including Isaac Newton, Albert Einstein, Nikola Tesla, Tony Robbins, Jordan Peterson, Brian Armstrong, and Michio Kaku, on the subject of life’s meaning and purpose. I also discuss the limitations of our current mathematical models and why they don’t make sense. My conclusion is that there are clear signs of intelligent origin and that humans were not placed here by accident, but admittedly, this still leaves far more questions than answers.

2. Hyper-Individualized Learning for a Hyper-Individualized Future

As a futurist, next-generation learning has been one of the topics I’m most passionate about. Our need for hyper-individualized learning is driven by several factors, including our time, our personality, and an overwhelming need to feel unique in a world of over 7 billion people wanting many of the same things. This AI-driven learning system will be driven by personal interests, a hyper-individualized sense of purpose, and a set of milestones to help define progress. Unlike traditional institutions that only credential their own in-house courses, this system will test, assess, and grant micro credits for virtually all topics, subjects, and forms of learning that align with the user’s interests.

3. Inventing the College Equivalency Scale

We have information flowing continuously from thousands of different sources, and it’s preposterous of us to think that only credentialed learning has any value. One of the first tasks for the designers of this future learning system will be to establish a universally accepted equivalency scale based on micro-credits. The equivalency scale will be based on an additive barometer of lifetime achievement. It will show users when their credits and micro-credits add up to the equivalency Bachelor, Master, and Ph.D. It will then add hundreds of levels beyond Ph.D. onto the accomplishment scale. Micro-credits will be used to assess learning in far more granular forms by using a learning measurement scale where 100 micro-credits are the equivalent of 1 college semester credit.

4. Will AR Smart Glasses Replace Smartphones and Become our Personal Buddy Bots?

The third part of future learning will involve smart glasses or contacts, which may even replace smartphones if they can figure out the right interface. People consume a ton of information every day. Bookworms spend countless hours reading. And YouTubers, gamers, music lovers, TV addicts, Twitchers, and networking junkies each have their own way of absorbing knowledge. But we currently have no way of monitoring what we’re being exposed to or measuring the salient pieces of wisdom being added to our working memory. The early monitoring devices will likely be incorporated into something like smart glasses to see what we’re seeing, hear what we’re hearing, and will have sensors to feel, touch, smell, and taste everything we’re experiencing. This device would complete the future learning trifecta that I’ve been envisioning. So will AR smart glasses replace smartphones? I believe the more relevant questions are what portion of our online time will be spent utilizing smart glasses and how soon will that happen?

5. In Case You Didn’t Get the Memo, the Nature of Work Has Just Changed

We are seeing a growing number of companies implementing a four-day workweek and the benefits it can bring for both businesses and employees. A study by Ernst and Young found that 40% of companies in the survey have implemented or plan to implement a four-day workweek. This trend is also seen in other countries such as Iceland, the UK, Japan, and New Zealand. Both businesses and workers prefer the four-day workweek as it can increase productivity, improve employee satisfaction, and allow for greater flexibility in scheduling. The psychological effects of the four-day workweek have shown that employees are more focused and committed to their work when they have a shorter time frame in which to complete it. The four-day week will likely become far more widespread in the future as it offers a balance between work and personal life and may be better suited to the needs of a modern workforce.

6. Thorium Reactors – The Future of Energy

The future of energy will involve transitioning from fossil fuels to alternative sources, such as renewables and nuclear power. Renewables, including wind, solar, geothermal, hydro, and biomass, currently make up about 12.5% of energy usage in the US but face limitations due to the need for invisible energy and the backlash to visible infrastructures like wind and solar farms. Nuclear energy, which currently only accounts for 8.9% of energy usage in the US, is projected to become a primary energy source in the future. Thorium-based reactor systems have several advantages over uranium-based methods. Even though most changes in the power industry are slow, it is expected that nuclear power will eventually surpass fossil fuels and renewables as the primary energy source.

7. Four Laws for Managing the Laws

The U.S. has more laws than any other country, and that has contributed to the U.S. having a higher percentage of prisoners than any other country. To address this issue, I have proposed a four-step approach to correcting the situation. Essentially, “Four Laws for Managing the Laws”:

1. Public Access Requirement: All laws must be posted in one central online location. Any laws not posted on this website will be deemed unenforceable.
2. Sunsetting Laws: Any laws that have not been applied or enforced in the past 20 years become unenforceable and must be removed from the list.
3. Simplification: All laws must be written at an 8th-grade comprehension level. No new laws can go into effect or current laws enforced until they’re certified to have reached this standard.
4. Code of Government Ethics: No governmental entity shall be allowed to profit from the enforcement of its own laws. After all, whenever there’s a direct profit motive that links enactment with enforcement, the nature of government changes, and our humanity becomes compromised.

8. Self-Cannibalism and the Extreme Possibilities of Cell-Cultured Agriculture

As an avid researcher, I’m constantly tuned in to progress being made on the stem-cell-derived meat front. We’re still very much on track for widespread production and consumption, given the investments we’re seeing from major players, including individuals and even meat processing companies. With the outlook for lab-grown, often called slaughter-free meat, wide open, it’s time to take this to a new level and push the envelope of our stem-cell lab programs for the benefit of humankind. At the macro level, cultured meat technology, combined with others like precision fermentation-derived microbial proteins, and good “old-fashioned” plant-based meat products, could fundamentally change our food supply in a way that wouldn’t dramatically affect our consumption experiences but improve our world in many other ways.

9. Private Space Stations: The Future Portals for Private Space Commerce and Tourism

In the future, space research and development is expected to be driven by private enterprises on privately owned space stations. As the International Space Station deteriorates to the point of becoming unusable, NASA and other agencies will begin renting space on privately owned, Earth-orbiting laboratories. In addition, space tourism companies will use private space stations as space hotels to offer tourists the opportunity to vacation in space. Private space stations will gradually be upgraded to offer more comfortable living arrangements for tourists and, over time, will be located in other locations beyond Earth’s orbit, such as the moon or Mars. Private space stations will also serve as staging areas, regional offices, and warehouses for commercial ventures in space. There will likely be additional space structures along well-established routes for resupplying, deliveries, and other functions.

10. Drone Delivery: A Massive Huge Industry Coming Soon to a Doorstep Near You

While some challenges related to the technology and logistics of drone delivery have been addressed, others still need to be resolved. However, these challenges should not hold back the widespread implementation of drone delivery, as we saw with the introduction of cars in the early 20th century. The Federal Aviation Administration (FAA) will allow the drone delivery industry to progress if appropriate safety measures are in place. Within 4-6 years, most people in the U.S. will be able to receive drone deliveries, and the transition will happen even quicker in other countries in the Asia-Pacific region. The widespread implementation of drone delivery may seem gradual, but we are on the leading edge of a massive new industry, and the transition will be breathtaking.

As we step into 2023, last year’s thinking will begin to fade into the tombs of ancient history. But rest assured, we’re in for several crazy years as the path of transition we’re going through still has a long way to go.

Nearly every organization I work with or interact with is desperately trying to staff up. They’re not necessarily growing; they’re just trying to get back to pre-COVID staffing levels because the pre-COVID demand levels for their goods and services have returned. But staff shortages are keeping some from fully reopening and forcing some employees to work longer hours than they’d like.

The supposed goal on everyone’s lips during the last 18 months was to get things “back to normal” – to go to shows, eat out, travel, and so on. Similarly, policymakers and business owners assumed that employees would return to or remain in their jobs with the same employers, more than happy to maintain the same priorities and objectives for their lives and careers.

But we weren’t in a coma over the last 18 months. We were dreaming about traveling and socializing to be sure, but we also had plenty of time and reason to think about our engagement in the labor market. Many people decided it was time for a change, and as the economy continues to open up, that trend is accelerating. In August, 4.3 million people left their jobs, 2.9% of the workforce, which is a recent record.

Who’s leaving? Let’s dig deeper into those decisions. Why are tens of thousands of workers exploring new options or departing the workforce altogether, leaving so many jobs unfilled? And why is the great resignation accelerating? The answers lie along two general tracks.

“I’m Done”

Many of the resigning workers are late Baby Boomers and early Gen Xers who’ve decided to retire earlier than they had planned even as recently as five years ago. They’ve worked hard in the face of all the uncertainties of the pandemic, padded their savings, and rode the stock and cyber currency markets to record heights. They feel that life is too short to stay in the work world any longer given the newly proven fragility of life. And yes, the fear-ladened newspaper headlines have actually scared people out of the workforce. Their suddenly enhanced financial position has allowed for this to happen.

“I Deserve a Change”

Other workers who are remaining in the workforce, are also realizing that life is too short. They can’t retire but they’re more than willing to overcome their recent work-life inertia and break free of their employment status quo. The last 18 months have served as a wakeup call and a nudge to move on to careers that are steadier, more lucrative, and more interesting.

This is especially true in the hospitality industry. For whatever reason, the pandemic brought out the worst in too many consumers and they’ve been taking out their frustrations on hotel, restaurant, transportation, and other public-facing workers who were just trying to do their jobs.

In other cases, office-based workers have gotten used to working from home and they enjoy spending more time with their families and less time commuting. They know all about their worth and the current imbalance in the labor market. When their employers insist that they come back to the office, after more than a year of working productively at home, it’s an easy decision to look for an alternative, even for a competing employment opportunity that offers a more flexible approach.

No Going Back

In a way, what we’re seeing today is the perfect storm of mitigating circumstances that have brought us to where we are in terms of employee ascendancy and human resource management. None of these will revert to the situations so familiar last decade.

Post-COVID, employees are re-evaluating work-life balance and personal priorities.
Employers are experiencing high job vacancy rates.
New generations of workers are even less tied to corporate ladders, “paying their dues,” and “biding their time.”

9 Dimensions of Future Employer-Labor Relations

So, what will be the workplace norm for the years to come?

1. There will be increased automation in the services industries. For example, the trends toward robots in the kitchen will accelerate, along with wait staff service and food delivery. We’ll be checking into hotels strictly through kiosks upon our arrival.
2. Those hospitality-related jobs that remain will offer far higher wage rates that may help break the poverty cycle in some locations.
3. Companies will have no choice but to allow work-from-home arrangements or they’ll lose out on top talent. A friend told me of a situation where his daughter-in-law had to quit her mid-level accounting job with a large, regional manufacturer after that company refused to let her work remotely when her military husband was reassigned to a base across the country. Five years from now, you won’t see those situations.
4. Companies will increasingly crack down on abusive customers. If they don’t unequivocally side with and support mistreated employees, their employees will leave. “The customer is always right” will be far less true in the future.
5. Due to Baby Boomer retirements, a new group of leaders will emerge more quickly from the ranks of Gen X and Gen Y. Since this torch will be passed a bit sooner than it would have been, these leaders will have relatively longer careers in leadership positions.
6. The influence of this new generation of leaders will hasten the trends for more informal, entrepreneurial, and technology-oriented workplaces. Diversity in the leadership ranks will be realized more quickly than it would have been.
7. Since Gen Y and Gen Z employees are less inclined to believe in a “career ladder,” organizations will provide better ongoing experiences through salary and benefits as well as allowing flexible internal career paths and broadening opportunities like international relocation assignments.
8. Company policies and management skill sets will increasingly be focused on managing with empathetic interaction and accommodation for an employee’s life circumstances.
9. Entrepreneurialism will soar. Employees will be emboldened to take the leap to pursue gig work and consulting roles. More and more companies will be compelled to engage those resources, further spurring the evolution of virtual offices and even virtual companies.

It all adds up to a future with employees holding more cards and the need for companies to be creatively competitive to secure the talent they need.

One of the biggest disruptive trends of this young decade you probably haven’t heard about is the shift toward the use of “no-code” and “low-code” software development platforms to create or enhance automated, online processes.

For a long time, we’ve relied on computer programming engineers to do all the behind-the-scenes work that enable our apps and software. Pages upon pages of code from these incredibly talented people result in powerful, user-friendly programs for the rest of us.

Now it seems that even software development is becoming mainstream and democratized. Advances in these no-code and low-code development platforms enable users, with very little training and instruction, to work with graphic interfaces and essentially point, click, drag, and drop elements of code into their software to provide the specific functionality they need – typically to improve the end users’ digital experience or to provide data-driven insights for the organization.

“No-code” reflects the fact that some of the resulting applications are simply a collection of the pre-designed blocks of programming. “Low-code” means that the final software not only includes the obtained coding but some additional, original software as well. The industry norm is to tie the two terms together and refer to “low-code,” so that’s what we’ll do here too.

It’s no wonder that some refer to low-code development platforms the “Lego® style” of building an application. The technical term is “abstraction.” Need a credit card purchase feature? Here it is. How about a customer relationship management element? Here are seven to choose from that meet your needs. For many tasks, software “developing” can now also be described as software “assembly.”

Who Uses Low-Code Platforms?

Low-code development platforms are widely touted as tools that enable the average person – the industry likes to call them “citizen developers” – with no specialized coding skills to grab these algorithms and use them to augment a vital piece of software.

Granted, not everyone can intuitively manage this, but people who are good with Excel, or have a knack for problem-solving or system design, will most likely be able to relate to and work well with a no-code development platform.

There’s a significant advantage to having a company’s subject matter expert – say in sales, product development, or R&D – also be the person that taps into the appropriate low-code development platform to improve the online functions they’re accountable for. These people know the nuances of their world and the minutiae of their work processes far better than a third-party computer program developer.

At the same time, though, professional developers are also turning to low-code platforms to obtain the mundane portions of the major applications they’re developing so they can focus on the more innovative elements of their software. Low-code algorithms can relieve them of a significant amount of manual work, improve their productivity, cut down on development times, and reduce development costs. This is especially true as low-code platforms continue to advance and offer ever-more powerful solutions.

Why Now?

Low-code platforms are not new. Like many pre-COVID trends, their use and availability were progressing at their own speed. They were gradually gaining users and acceptance – both by professional developers and citizen developers.

COVID’s work-from-home imperative significantly accelerated the utilization and the number of low-code platforms, though. Companies and teams suddenly needed new ways to perform work processes that had traditionally relied on groups working elbow-to-elbow. Office-based functions now had to be done online. Certain customer interaction processes suddenly needed online solutions as well.

The algorithms for many of these online processes were not terribly complex and were readily available on the low-code development platforms.

The Downsides of Low-Code Development

Citizen developers may be smart people, but they’re not programmers. Some low-code solutions work well in low-volume situations, but they may not scale well when activity or the number of users ratchets up. And without proper governance systems in place, newly empowered programmers might unwittingly introduce exploitable security risks, data biases, and even incorrect solutions.

Organizations can’t rely on low-code development for everything. If they don’t understand its limitations and legitimate uses at a given point in time, they can get themselves and their organizations in trouble very quickly.

Future Trends Related to Low-Code Use

Tech-savvy business process managers have gotten a taste of low-code-enabled in-house programming. They like the efficiencies and cost-savings. Low-code is here to stay. It’s a verb, one of the surest signs that it has truly caught on!

Moving forward, companies will encourage their people to engage in these platforms in order to tap into ways to improve productivity and streamline their systems. One observer predicts that in just two years, more than 50% of medium and large organizations will use low-code development as a “strategic application platform.”

Companies will not only oversee their staff members’ use of low-code platforms but train the average user on how to access these tools. This skill development may ultimately be part of standard onboarding or business school training.

We’ll Still Need Our Developers

If everyone can now be a software developer, will there still be a need for a centralized software development function? Yes. Computer programming will be a team effort, the fusion of citizen developers and professional developers working together to create applications and solutions.

Additionally, development professionals will increasingly rely on low-code development platforms as a tool, not a total solution. Organizations will still need customized algorithms, software, and complex applications. Additionally, IT experts will be called on to oversee their organization’s overall utilization of the low-code platforms. They’ll be assigned to select or approve appropriate and reputable ones.

Low-code development platforms are another example of how technology is breaking down the domain of specialists, similar to business bookkeeping software, online legal services, and social media marketing applications. Just like these other business processes, low-code development platforms will continue to be enhanced and they’ll provide even more complete and reliable service. Their algorithms will be increasingly scalable, supporting more complex development projects, rather than simply serving as small, niche-like, drop-in applications.