By 2040, every object in your home will evolve into an intelligent, decision-making system that anticipates your needs long before you do.

We’re about to witness the rebirth of every mundane object in our lives. Between now and 2040, automation, robotization, and AI will transform common household items from passive tools into active, autonomous systems that don’t just respond to commands—they anticipate needs, make decisions, and participate in running your life.

This isn’t about smart speakers that play music on command or thermostats you control with apps. This is a fundamental transformation: objects that were invented centuries ago evolving into intelligent machines that would be unrecognizable to anyone from even 2020. Here’s what happens to ten everyday objects as they experience their rebirth.

1. The Refrigerator → Autonomous Nutrition Engine

Today: A cold box that keeps food from spoiling. You open it, look inside, and try to remember what you need to buy.

2040: An autonomous nutrition engine that manages your entire food supply and dietary health. Vision sensors track every item inside—what you have, when it expires, and what you’re running low on. The fridge predicts when you’ll run out of milk, eggs, or vegetables and orders groceries automatically, adjusting for seasonal availability and your changing preferences.

But it goes further. Using your health data—glucose levels, cholesterol, inflammation markers, fitness goals—the fridge designs weekly meal plans optimized for your specific biology. If you’re prediabetic, it stops ordering sugary items and suggests recipes that stabilize blood sugar. If you’re training for a marathon, it ensures adequate protein and adjusts caloric density.

Internal robotic shelves move items to the front when you need them or dispense ingredients directly into connected cooking devices. The fridge talks to your doctor’s AI, receiving dietary recommendations that get implemented automatically. You stop managing food—your fridge manages it for you.

2. The Bed → Medical-Grade Health Platform

Today: A soft surface to sleep on. Maybe it has adjustable firmness if you paid extra.

2040: A medical-grade health platform running continuous full-body diagnostics while you sleep. Embedded sensors perform heart monitoring, breathing analysis, temperature mapping, inflammation detection, and hydration assessment. Micro-adjusting robotics optimize spinal alignment and circulation minute-by-minute, responding to how you move during the night.

The bed detects disease patterns weeks before symptoms appear—catching cancers, heart conditions, and autoimmune disorders at stages when intervention is most effective. Your AI sleep coach adjusts room lighting, temperature, airflow, and sound automatically based on your sleep architecture, ensuring optimal rest.

You don’t buy a bed anymore—you buy a health monitoring system that happens to be where you sleep. It’s the most important medical device you own, and you use it eight hours every night.

3. The Mirror → Daily Health Diagnostic Portal

Today: Something you use to see your reflection while brushing teeth or applying makeup.

2040: A health diagnostic portal using multispectral imaging to detect cancers, nutritional deficiencies, skin conditions, cardiovascular problems, and stress indicators invisible to the naked eye. The mirror analyzes your face, eyes, skin tone, and micro-expressions to assess health status every morning.

It gives personalized recommendations—not just “you look tired” but “your cortisol levels indicate chronic stress, here are three interventions proven effective for your biochemistry.” It offers makeup assistance if you want, wellness adjustments if you need them, and immediate medical alerts when anomalies appear.

The mirror integrates with your medical record and sends data to your doctor’s AI continuously. That mole that’s changing? The mirror caught it three weeks ago and already scheduled a dermatology appointment. The subtle jaundice indicating liver stress? Detected and addressed before you felt anything wrong.

By 2040, your front door won’t just unlock for you—it will read your gait, intentions, and behavior, instantly securing or defending your home long before you ever touch the handle

4. The Door Lock → Autonomous Access Guardian

Today: A mechanical lock with a key, or if you’re modern, a keypad or smart lock you control with your phone.

2040: An autonomous access guardian using multimodal authentication—gait recognition, facial analysis, behavior patterns, and heartbeat signatures. It knows you’re approaching before you reach the door and unlocks automatically, hands-free, because it recognizes everything about how you move and behave.

But it goes beyond convenience. The lock can sense malicious intent through micro-movement analysis—detecting the physiological signs of someone approaching with bad intentions. It determines autonomously when to lock down, alert authorities, or activate defensive countermeasures.

It learns family routines so completely that anomalies trigger immediate response. If someone enters at an unusual time or behaves oddly once inside, the house knows something’s wrong and responds appropriately. You don’t secure your home—your home secures itself.

5. The Car → Fully Autonomous Mobile Workspace/Bedroom

Today: A vehicle you drive, possibly with some driver assistance features that still require your attention.

2040: A completely autonomous mobile environment with no steering wheel, no pedals, no driver controls at all. The interior reconfigures based on what you’re doing—reclining seats for sleep, holographic displays for work, private meeting modes for confidential calls.

The car’s surface uses micro-robotic repair systems that heal minor dents and scratches automatically. AI predicts mechanical needs months in advance and schedules service autonomously—you never think about maintenance because the car handles it before problems develop.

For families, multi-zone monitoring ensures children are safe and engaged. Built-in tutoring systems help with homework during commutes. Entertainment adapts to each passenger’s preferences simultaneously. The car isn’t transportation—it’s a mobile extension of your home and office that happens to move you between locations.

By 2040, your stove becomes an AI-powered robotic chef that knows your tastes, cooks every meal autonomously, and cleans itself when it’s done.

6. The Kitchen Stove → AI Robotic Chef Partner

Today: A place to heat food. You control temperature, timing, and technique manually.

2040: An AI robotic chef partner with articulated arms, ingredient recognition, and cooking models trained on millions of recipes. Tell it what you want or let it suggest meals based on what’s in your fridge, and it prepares full meals autonomously while you do something else.

The system adjusts flavor profiles based on your biometric response—analyzing salivary pH, heart rate, and glucose levels to determine what tastes good to you specifically and what your body needs nutritionally. It learns your personal “taste genome” over time, creating dishes optimized for your unique preferences.

After cooking, it cleans itself and sterilizes using UV robotics. You stop cooking—you direct cooking while the stove executes with precision you couldn’t match manually.

7. The Shower → Personalized Wellness Spa

Today: A fixture that dispenses water at a temperature you control manually. Maybe it has adjustable pressure if you’re lucky.

2040: A personalized wellness spa that transforms daily hygiene into comprehensive health treatment. The shower uses dozens of independently controlled nozzles that target specific muscle groups, adjust water pressure based on detected tension, and alternate temperatures to optimize circulation and recovery.

Embedded sensors analyze your skin condition, hydration levels, and muscle inflammation. The system detects injuries, soreness, or stress indicators and automatically adjusts water delivery—stronger pressure for tight muscles, gentler flow for sensitive areas, temperature variations to reduce inflammation.

The shower dispenses personalized soap, shampoo, and skin treatments formulated for your specific biochemistry and adjusted daily based on environmental factors like humidity, pollution exposure, and UV damage. It monitors hair and scalp health, detecting problems like early baldness or skin conditions before they become visible.

Built-in phototherapy uses targeted light wavelengths to treat seasonal affective disorder, improve vitamin D synthesis, or support circadian rhythm regulation. Air jets dry you efficiently while the shower self-cleans and sterilizes using UV and ultrasonic systems that eliminate biofilm and pathogens.

The shower doesn’t just clean you—it actively maintains your physical wellness through daily therapeutic treatments you’d otherwise need to visit spas or physical therapists to receive.

8. The Vacuum → Fully Autonomous Home-Cleaning Micro-Fleet

Today: A robotic vacuum that bumps around your floor following semi-random patterns, occasionally getting stuck under furniture.

2040: A swarm of specialized cleaning robots coordinating as an intelligent ecosystem. Some sweep, others mop, some scrub corners, others purify air or sanitize surfaces. They’re small, quiet, and operate continuously 24/7 without human direction.

The swarm maps your home’s microbial levels in real-time, identifying and eliminating allergens, pathogens, and pollutants as they appear. They know which areas get dirty fastest and concentrate efforts there. They coordinate to avoid interfering with each other and disappear into charging stations when you’re using a room.

You stop cleaning your home. Your home cleans itself continuously, maintaining hygiene standards far exceeding what manual cleaning could achieve.

By 2040, your wallet becomes an autonomous financial guardian that predicts expenses, blocks threats, negotiates deals, and grows your money without you lifting a finger.

9. The Wallet → Autonomous Financial Guardian

Today: A physical or digital place to store payment cards and identification.

2040: An autonomous financial guardian that actively manages your economic life. The AI negotiates prices and contracts on your behalf, finding better deals than you’d accept because it knows market rates and optimal timing. It auto-optimizes taxes, insurance, and investments based on your financial goals and risk tolerance.

The system detects suspicious patterns months before fraud or identity theft occurs, protecting you from threats you’d never notice. It allocates money according to your stated life goals and predicts upcoming expenses before you’re aware of them—ensuring you have funds available when needed without manual budgeting.

Your wallet doesn’t just hold money—it actively manages, protects, and grows your financial resources while you focus on living.

10. The Bathroom Toilet → Real-Time Medical Lab

Today: A porcelain bowl of water. Possibly the most primitive fixture in your home.

2040: A real-time medical laboratory performing continuous diagnostic analysis every time you use it. It analyzes gut biome composition, hormone levels, metabolic markers, hydration status, and dozens of other health indicators.

The toilet detects cancers, infections, kidney disease, liver problems, and autoimmune markers at the earliest molecular stages—months or years before you’d feel symptoms. It adjusts its cleaning and hygiene routines based on detected pathogens, reducing disease spread within households.

All data feeds to your health AI for daily personalized wellness adjustments. Your doctor receives alerts when concerning patterns emerge. The most private moment of your day becomes the most medically valuable diagnostic opportunity.

The Big Pattern: Four Forces Driving Rebirth

Across all these transformations, four forces create the rebirth:

Automation: Objects perform tasks without human initiation. You don’t tell your fridge to order food—it knows when you need it and handles it autonomously.

Robotization: Objects physically manipulate the world—grabbing, moving, adjusting, cleaning, repairing. They don’t just sense and think; they act.

Embedded AI: Objects learn your routines, preferences, and needs, adapting continuously to serve you better over time.

Sensorization: Everyday objects become data collectors, monitoring everything about your life to enable hyper-personalized services.

What This Actually Means

By 2040, your home won’t be a collection of dumb tools you operate—it’ll be an intelligent environment that operates itself while optimizing for your health, safety, convenience, and wellbeing.

You’ll stop managing household tasks because objects handle them autonomously. You’ll stop making routine decisions because AI systems make better choices based on more data than you could process. You’ll stop worrying about maintenance because objects predict and prevent their own failures.

The objects around you become participants in your life rather than possessions you use. They’re not servants following orders—they’re autonomous systems pursuing goals you’ve given them, using methods you don’t specify because they know better than you do.

This is the rebirth: passive tools becoming active partners. And it’s not coming gradually—it’s arriving in the next fifteen years, transforming every mundane object in your life into something that would seem like science fiction today but will be completely normal by 2040.

Related Stories:

https://www.technologyreview.com/2024/10/15/ai-home-automation-future/

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.

Will we need to build a more durable human to survive on Mars?

Our Genetic Frontier

Let’s begin with a scenario where, after two manned space flights to Mars, Elon Musk concludes that for humans to survive long-term on the Red Planet, we need to develop a more durable human. Using AI to guide researchers in modifying human DNA, Musk’s quest sparks a wave of other research projects integrating AI and genetic modification. This bold venture opens the door to unparalleled opportunities and daunting challenges. The potential to rewrite the very code of life, harnessed by the precision and power of AI, promises to transform human existence in ways we can scarcely imagine. What could possibly go wrong?

As we stand on the precipice of a new era in biotechnology, the convergence of AI and genetic modification presents both unparalleled opportunities and daunting challenges. The potential to rewrite the very code of life, guided by the precision and power of AI, could transform human existence in ways we are only beginning to imagine.

On the one hand, AI-driven genetic modifications offer the tantalizing prospect of eradicating hereditary diseases, extending human lifespan, and enhancing physical and cognitive abilities. Imagine a world where debilitating conditions like cystic fibrosis, Alzheimer’s, and heart disease are relics of the past, where individuals enjoy not just longer lives but healthier, more vibrant ones. Envision children born free of genetic defects, their potential unlocked by precise genomic edits. These advancements could herald a new age of personalized medicine, where treatments are tailored to an individual’s unique genetic makeup, ensuring maximum efficacy with minimal side effects.

However, this brave new world is not without its shadows. The ethical and social ramifications of gene editing are profound and complex. The prospect of “designer babies,” where parents select traits such as intelligence, physical prowess, or even aesthetic qualities, raises questions about equity, consent, and the very nature of humanity. Moreover, the potential for unintended consequences looms large; off-target effects or unforeseen genetic interactions could introduce new health risks. As we navigate this genetic frontier, the specter of bioterrorism and the weaponization of genetic technologies also cannot be ignored.

Many are predicting AI-driven technologies will have the ability to identify and correct genetic mutations responsible for hereditary diseases.

Disease Prevention and Treatment

Will we be able to cure diseases such as Alzheimer’s, heart disease, and even human aging?

Enhanced Lifespan and Quality of Life

AI-enhanced DNA can lead to significant improvements in physical strength, endurance, and cognitive functions.

Improved Physical and Cognitive Abilities

The integration of AI in genetic modification opens up remarkable avenues for improving human physical and cognitive abilities. On a common level, AI-driven enhancements can lead to significant improvements in physical strength, endurance, and cognitive functions. These advancements could dramatically increase productivity and drive progress across various fields, from sports and entertainment to science and engineering. Imagine athletes with enhanced stamina and agility, researchers with superior memory and problem-solving capabilities, and workers who can maintain peak performance levels for longer periods. These enhancements would not only boost individual potential but also contribute to societal advancements by accelerating innovation and efficiency.

However, the extreme potential of AI in genetic modification goes even further, envisioning the creation of “superhumans” with abilities far beyond current human capabilities. These individuals could possess exceptional intelligence, near-perfect memory, unparalleled physical agility, and resilience to extreme environments. Such enhancements could lead to a new era of exploration and achievement, enabling humans to thrive in previously inhospitable environments, such as deep ocean depths or distant planets. The concept of superhumans challenges our understanding of human limits and presents the possibility of a future where enhanced individuals push the boundaries of what is scientifically and technologically possible.

Nevertheless, the pursuit of creating superhumans raises profound ethical, social, and existential questions. The introduction of genetically enhanced individuals could lead to significant inequalities, as those with access to such technologies would gain unprecedented advantages over the naturally born population. This disparity could deepen social divides and create a new class of genetically privileged individuals. Moreover, the psychological and societal impacts of such enhancements need careful consideration. How will society value unenhanced humans? What will become of human diversity and the essence of human experience?

Addressing these challenges requires a thoughtful approach, balancing the pursuit of human enhancement with a commitment to ethical principles, equity, and the preservation of our shared humanity. As we stand on the threshold of this transformative era, it is crucial to navigate these possibilities with wisdom and foresight.

By analyzing a person’s unique genetic makeup, AI can predict how they will respond to certain medications, potential health risks, and develop personalized treatment plans.

Personalized Medicine

When things go wrong! Even with advanced AI, there is a risk of off-target effects or unintended genetic mutations.

Negative Results of AI-Driven Genetic Modification

As the integration of AI and genetic modification progresses, it brings with it a host of potential negative outcomes that must be carefully considered. One of the primary concerns is the possibility of unintended consequences and genetic errors. Even with advanced AI, there is a risk of off-target effects or unintended genetic mutations. These mistakes could introduce new health issues or exacerbate existing conditions, potentially creating a cascade of unforeseen medical problems. In extreme cases, widespread genetic anomalies could lead to new epidemics of diseases or disorders, posing a significant public health challenge.

Ethical and social issues also loom large in the discussion of AI-driven genetic modification. The concept of “designer babies” raises serious ethical concerns about the societal implications of selecting certain traits. This practice could lead to new forms of discrimination and inequality, as those who can afford genetic enhancements may gain unfair advantages. At its most extreme, the pursuit of genetic perfection could result in deep societal divisions. A clear divide between a genetically modified elite and the natural-born population could emerge, leading to social unrest, conflict, and even large-scale violence as the marginalized groups rebel against their perceived inferiority.

Another significant risk is the potential loss of genetic diversity. When certain traits are preferred and selected for, the genetic diversity of the human population could be reduced. This homogeneity makes the population more vulnerable to specific diseases or environmental changes, as a lack of diversity can weaken the collective resilience to new challenges. In an extreme scenario, a genetic monoculture could develop, where the collapse of human resilience against novel pathogens or drastic environmental shifts could have catastrophic consequences.

The potential for bioterrorism and the weaponization of genetic technology is another grave concern. AI and genetic modification technologies could be misused to create harmful biological agents or genetically engineered pathogens. In common misuse scenarios, these technologies could lead to the development of targeted bioweapons that pose significant threats to global security. In the most extreme cases, the use of genetic weapons to target specific populations or individuals could lead to acts of genocide or targeted bioterrorist attacks, resulting in massive loss of life and widespread fear.

Finally, the issue of privacy and autonomy becomes critical as genetic modification technologies advance. Concerns over genetic data privacy are paramount, as there is a risk that genetic information could be misused by governments, corporations, or malicious actors. This misuse could lead to scenarios where individuals’ genetic data is exploited for discriminatory purposes or financial gain. In the most dystopian extreme, individuals could be forced to undergo genetic modifications or be constantly monitored and controlled based on their genetic profiles. This loss of personal freedom and autonomy could lead to a society where genetic determinism dictates one’s opportunities and quality of life, eroding the fundamental principles of individual rights and freedoms.

The potential benefits are staggering, from eradicating hereditary diseases and extending lifespans to enhancing physical and cognitive abilities.

Final Thoughts

If you ask ten different people what were the most important inventions in all history, you’ll likely get ten different answers.

Here’s one pretty good list from National Geographic that would be hard to argue with:

1. Printing press
2. Light bulb
3. Airplane
4. Personal computer
5. Vaccines
6. Automobile
7. Clock
8. Telephone
9. Refrigeration
10. Camera

Here’s another that includes several of the same items plus the nail and the compass, and it even goes a bit further back in time to give credit to the inventor of the wheel – a very good addition. And here’s one more, this one remembering to include the gas-powered tractor and anesthesia. Good catch.

Now, I’m not saying it’s easier to be a historian than a futurist, but it’s probably less complicated to look backward at one’s leisure to acknowledge breakthrough technologies than it is to predict new ones at a time when so many technologies are on the cusp.

Debates about the significance of historical breakthroughs are academic exercises or something one does with friends over a glass of wine.

But consideration of the merits and ultimate utility of pending and future breakthroughs takes place in boardrooms with billions of dollars on the line. After all, things that seem destined to be extraordinary and ultimately commonplace may prove to be a bust. Supersonic transport comes to mind, even though it’s probably too early to give up on that.

But I don’t mind going out on a limb in predicting what the most significant emerging technologies will be over the next ten years. These are the twelve I’m watching, and I think you should be as well:

1. Autonomous Transportation

I’ve become convinced that autonomous transportation will be the most disruptive technology in all of history. On this topic, most people right away think of cars and trucks as a first step. In fact, those may be the last autonomous vehicles to be fully developed and embraced due to the relatively complex and unpredictable environment they’ll be operating in.

But we’ve already come a long way in other modes of transportation. Unmanned rockets are delivering satellites to space orbit and supplies to the international space station. Soon we’ll see unmanned cargo ships plying the oceans. Submarines will follow shortly. Commercial jets are nearly autonomous now and under computerized control for much of each journey.

And, yes, eventually we’ll see wide-spread autonomous, dry land transportation – especially once we get past the mindset that perfect safety is the only acceptable option.

Add all of this together and not only will transportation be turned on its head, but we’ll also have massive redesign of our buildings, airports, seaports, highways, and cities themselves to accommodate it.

2. Artificial Intelligence

AI certainly isn’t an emerging technology, but what will be new is the extent it will be a part of nearly every other emerging technology. AI is the basis of computer learning. Faster computers with access to more data will enhance nearly every aspect of our lives: transportation, healthcare, business, national security, entertainment, and more.

We’ll begin to view AI as a commodity – almost like a utility – that’s delivered into every home, office, device, car, and highway in our world.

I’ve done multiple interviews on the Futurati Podcast with AI experts like David Jilk, Kristinn Thórisson, and Roman Yampolskiy which have greatly informed my thinking on the transformative potential of this technology.

3. Blockchain

Blockchain technology will soon become an element of our behind-the-scenes infrastructure for nearly every kind of transaction (defined in the broadest sense) that requires the secure transfer and maintenance of assets or information. It’s hard to imagine any industry that won’t be impacted as they strive to becoming more secure and efficient. If an industry relies on contracts, financial transactions, personal identification information, or asset management, for example, blockchain technology will be working in the background.

Is blockchain the final word in IT security? Unfortunately no. Blockchain can be hacked, but it’s not worth losing sleep over. As long as we rely on technology, i.e., computers and the internet, we’ll have cyber thieves. We need to accept that we’ll always be in a cycle of smart people developing secure systems that other smart people quickly learn to exploit. But, we’re continually raising the bar in the process.

4. Cryptocurrency

Cryptocurrency is one of the primary applications and earliest adopters of blockchain technology. Soon, you won’t need to understand blockchain to use cryptocurrency; it will be as easy and natural and using a credit card. The currency behind it, though, will be blockchain-based. Bitcoin was the first, but the emerging crypto economy is now valued at over $2 trillion. This means over $2T in economic expansion, with no governmental strings attached, and we’re just getting started.

Regulators will eventually accede to this inevitability and implement buffers and guideposts to prevent the kind of valuation volatility and scams that have caused most people to stay away from engaging in cryptocurrency. Increasingly, nations will transform their currencies to digital, doing away with pesky paper and even peskier coinage. Our personal cryptocurrency wallets will typically have a variety of currencies at our disposal.

5. CRISPR

That’s “clustered regularly interspersed short palindromic repeats,” by the way, the emerging science of genetic manipulation using DNA splicing. We looked at this several weeks ago in the context of de-extincting a version of a Woolly Mammoth by splicing its preserved DNA into an Asian elephant.

That’s just the tip of the CRISPR iceberg, though. The emerging CRISPR toolset will expand our capabilities to customize embryos to optimize human beings in many ways. In just a few years, a pregnant woman will have the option of going to a geneticist to discuss certain “enhancement options” for her unborn child. They’ll also be able to remove problematic genes in order to reduce the likelihood of certain diseases and physical conditions.

6. Metaverse

This is one of the most fascinating advances I’ve had the opportunity to explore in a long time. The metaverse is essentially Internet 3.0, maybe even 10.0, based on an increasingly robust infrastructure that can support the presence of an alternate reality we can experience for ourselves. We see bits and pieces of it now, with concerts, online gaming, and virtual offices.

But ultimately, we’ll have metaverses that are as real and expansive as any Matrix or Ready Player One scenario. It’s not a stretch to say that in the future, we’ll be taking virtual vacations in the metaverse – spending a week’s salary with a metaverse agency to experience an African safari or an Alaskan cruise, enjoying the sights and sounds and the company of our fellow travelers.

7. Touchable Mixed Reality

This is an evolutionary development with metaverse implications. First, there was virtual reality (VR) – a virtual world, complete with sights and sounds (and only sights and sounds) experienced with the specialized headset. Next was augmented reality (AR) – in which we experienced the real world with virtual objects overlaying them (e.g., Pokémon Go). The next step is mixed reality (MR) – in which real and virtual worlds are combined. MR allows us to overlay physical items into the virtual environment.

MR will be a gamechanger in … well, games of course, and also in numerous entertainment and learning environments from engineering to medicine.

8. Living Robots

Despite the name, this innovation isn’t as creepy or eyebrow-raising as it sounds. While this phrase may conjure up the image of human clones, remember that a “robot” is simply a controlled, programmable machine that can carry out a complex task.

But instead of metal casings and hard-wired circuitry, they’re made with biological tissue. The earliest versions of living robots can best be characterized as “programmable organisms,” blobs of tissue made from biological stem cells that are manipulated and shaped to be living organisms that perform tasks. Initially, we’ll program them, for example, to deliver medicine within a human body or clean up radioactive waste in hazardous sites. Beyond that, though, who knows!

9. Hyper-individualized Education

Education is a $2 trillion annual business that operates in much the same way it did 200 years ago with large classrooms filled with students who are all taught the same way and, for the most part, the same thing. But classroom technology has been advancing rapidly, especially during the pandemic.

Ultimately, we’ll have massive databases of teachable material from which students and their advisers can craft a unique curriculum and even a unique degree. The material will be delivered in a way that the student can best relate to. Lectures. Virtual field trips. Group discussions (see metaverse discussion above). One-on-one tutorials with an AI teacher bot.

Degrees will be obtained more quickly, and graduates will have a much better-defined specialty that will minimize the time spent by their first employer in on-the-job training.

10. Hyper-individualized Medicine

This is also known as personalized medicine. Doctors in the near future will collaborate with us on prevention, diagnosis, and treatment options based on our own unique genomic profile. With the benefit of this information, they’ll know what conditions we’re susceptible to and that must be monitored closely. And when a condition presents itself, they’ll know which drugs or other treatments will be effective, ineffective, or even harmful.

We’ve seen some early successes with personalized medicine with oncology therapies, and it will ultimately extend significantly beyond that.

11. Internet for Everyone

With communication satellites filling our low-Earth orbit, people in more and more of the far corners of the Earth will have access to information through the internet. As long as local regimes don’t try to limit citizen access, information will be more widespread and transferrable – for better or worse, but hopefully more for the better.

Who knows how many 21st century potential Einsteins and Mozarts will emerge when there is greater exposure to information and ideas? With a truly World Wide Web, we’ll see tremendous growth in global GDP, and maybe as I call it, in GNK – global net knowledge that will drive mankind’s progress forward, bringing light and enlightenment where it’s needed most.

12. Lab Grown Everything

While lab-grown meats have gotten all the attention, we’ll soon have similar processes for lab-growing construction material, fabrication materials, and much more. Our labs will make tremendous progress in speed-growing natural materials that have the same cellular structure as the “real” items that have previously only been grown at the rate of nature.

This will be a huge ecological and social win as we no longer will need to mine diamonds, clear cut forests, or maintain massive cattle feedlots, for example. We’ll also have new sources for medical and health products like breast milk, nutraceuticals, ointments, and more. This will cause short-term employment issues for sure, but once the science is worked out, the labs will essentially become factories and the workers there won’t need PhDs.

100 Years from Now

I can’t imagine a more fantastic future than if these technologies come to fruition and play out fully! And if this blog is somehow discoverable in 100 years, I hope another futurist will see it and chuckle about our simplicity or, even better, note how we identified 2021 trends that did indeed shape the world they’re living in.