Future Trends Archives - Futurist Speaker

The Rise of the One-Person Company

Thomas Frey — Fri, 12 Jun 2026 22:13:05 +0000

The fastest-growing company in America may no longer be a company at all.
One person, powered by AI, is becoming a formidable economic force.

How AI, automation, and shrinking overhead are turning solo operators into full-fledged businesses

By Futurist Thomas Frey

A Quiet Economic Revolution

For most of the industrial era, “business” meant “organization.” If you wanted to build something significant, you needed employees, an office, a hierarchy, and a payroll department to manage all of it. That assumption is now crumbling faster than most people realize.

There are now 29.8 million solopreneurs in the United States, accounting for $1.7 trillion in revenue — about 6.8% of total economic output. More than 56% of current solopreneurs launched their businesses since 2020, and 77% are profitable in their first year, with one in five earning between $100,000 and $300,000 annually. Perhaps most striking: solo-led companies represented 30% of all startups founded in 2024, up from roughly 23.7% in 2019.

This isn’t a fringe movement of bloggers and Etsy sellers anymore. It’s a structural shift in how value gets created — and it’s happening because the cost of “being a company” has collapsed to nearly zero.

Cheap AI labor, zero-code development, and investor confidence are converging to create a new business model: billion-dollar companies built by one person.

What’s Driving the Shift

Three forces are converging at once, and each one amplifies the other two.

AI has become the world’s cheapest employee. A solopreneur today can have an AI handle customer service, draft marketing copy, manage a sales funnel, write code, and analyze finances — all for a software subscription instead of a salary. AI automation now returns 10–40% of a solopreneur’s daily work time, freeing up one to four hours every single day. AI adoption among solopreneurs has reached 74% as of 2026 — meaning three out of four solo founders are now using AI for content, customer service, research, or operations.

Think of it like this: a decade ago, launching a content business meant hiring a writer, an editor, a designer, and a social media manager. One solo founder profiled in recent industry coverage used an AI writing tool to produce 20 blog posts a month — up from just 4 — saving roughly $4,800 a month compared to paying a freelance writer per post. That’s not a marginal efficiency gain. That’s an entire department, replaced by a $20-a-month tool.

“Vibe coding” has erased the technical barrier. You no longer need to know how to code to build software. Solopreneurs can now build custom tools for under $50 a month using AI subscriptions instead of hiring developers, with 84% of developers already using AI coding tools in 2026. A solo founder with an idea and a few prompts can now ship a working app in a weekend — something that used to require a technical co-founder and months of development.

Confidence and capital are following the trend. A record 94% of solopreneurs project business growth in 2026, with 71% reporting improved financial results compared to the prior year. And it’s no longer a niche bet for investors either — while solo-led companies represented 30% of startups founded in 2024, they captured 14.7% of priced equity venture rounds that year, a share that’s been growing. Researchers cited by Entrepreneur.com found 47% of respondents said AI availability makes them more likely to start a business in the first place.

Put these together — cheap AI labor, near-zero technical barriers, and a growing pool of capital willing to bet on a single person — and you get the conditions for an entirely new category of company: the one-person unicorn.

Industries Being Reshaped

The solopreneur wave isn’t hitting every sector equally. The top industries for solopreneurs are professional services at roughly 30%, e-commerce and creative work at about 25%, and consulting and tech at around 20% — and within those categories, the transformation looks different depending on what’s being built.

Content and media were the first dominoes to fall. A single creator with AI-assisted video editing, scriptwriting, and thumbnail design can now run what used to require a small production studio. The “creator economy” — once a side hustle — is becoming a legitimate career path with real revenue ceilings.

Software and SaaS are seeing the most dramatic shift. The classic startup playbook — raise money, hire engineers, build for two years — is being replaced by “build it yourself this weekend, launch Monday, iterate based on real users.” In 2026, high-growth digital businesses are increasingly built and operated by a single founder, powered by a tech stack rather than a team — with software replacing staff and automation running operations.

Professional services and consulting are being unbundled. Accountants, marketers, designers, and analysts who once needed to join a firm to access tools and clients can now operate independently, using AI to handle the administrative overhead that used to require support staff.

E-commerce continues to be a major on-ramp, especially as AI handles product research, listing optimization, customer service, and even personalized marketing — tasks that used to require a small team.

And geographically, this isn’t just a coastal, urban phenomenon. Rural areas are seeing solopreneur growth at roughly 2.5 times the rate of urban centers, a reflection of how location-independent these businesses have become.

The next generation of entrepreneurs won’t build teams first. They’ll build systems, automate relentlessly, and scale one-person companies with AI.

How to Launch Your Own Solopreneur Journey

If you’re considering jumping in, here’s how I’d think about it — not as a leap of faith, but as a systems-design problem.

Start with a tight niche, not a big idea. The solopreneurs succeeding right now aren’t trying to build “the next Amazon.” They’re solving one specific, painful problem for one specific group of people — a niche newsletter, a specialized consulting service, a tool for a particular industry workflow. Narrow focus lets one person punch far above their weight.

Build your AI stack before you build your product. Building a one-person company in 2026 doesn’t start with downloading random tools at midnight — it starts with structure. Pick a small set of tools that cover your core functions — content creation, customer communication, scheduling, bookkeeping — and make sure they talk to each other. This is your “staff.” Hire it carefully.

Automate before you scale, not after. Set up systems for monthly business reviews, A/B testing, and customer feedback integration from day one. The habits you build in month one are the habits that either compound or collapse under you in month twelve.

Embrace volume over perfection, especially early. A solopreneur publishing ten “good enough” pieces of content weekly will outperform one perfecting a single piece monthly — visibility creates opportunity, and opportunity creates feedback you can’t get any other way.

Protect your time like it’s your only employee — because it is. The mental load of running every business function alone is real, which is exactly why automation and efficiency tools matter so much. Build in boundaries early, or the freedom that drew you to this path will quietly disappear.

Plan for the second hire to be a contractor, not an employee. As you grow, look at subcontracting overflow work to 1099 contractors rather than rushing into traditional employment — it preserves the flexibility that makes the solo model work in the first place.

The Bigger Picture

What we’re watching is the slow dissolution of the assumption that “company” equals “group of people.” By 2027, freelancers are projected to make up more than half of the U.S. workforce, and the tools that make one person operate like a team of five are only getting cheaper and more capable.

I don’t think this means corporations disappear — big problems still need big coordination. But for an enormous swath of the economy, the default unit of business is shifting from “team” to “individual plus AI.” If you’ve ever had an idea you shelved because you couldn’t afford to hire the people to build it, this is the moment that excuse stops being valid.

“Solopreneur Statistics 2026: 29.8 Million Solo Businesses, $1.7 Trillion Revenue & AI-Driven Growth,” AutoFaceless Blog, https://autofaceless.ai/blog/solopreneur-statistics-2026
“12 AI Tools Every Solo Founder Needs to Scale Fast in 2026,” Entrepreneur Loop, https://entrepreneurloop.com/ai-tools-to-scale-solo-business/
“The Rise of the Solopreneur Tech Stack in 2026,” PrometAI, https://prometai.app/blog/solopreneur-tech-stack-2026

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The Neutral Sky: Why Space May Be the Only Fair Ground for AI in the Developing World

Thomas Frey — Fri, 15 May 2026 00:43:35 +0000

By Futurist Thomas Frey and Futurist Teresa Grobecker

The geopolitics of AI infrastructure has left smaller nations with no seat at the table. A constellation of orbital edge computers may be the first genuinely neutral ground they have ever had.

Every conversation about AI sovereignty eventually runs into the same wall. The compute is owned by someone. The data center is in someone’s jurisdiction. The undersea cable lands on someone’s shore. The chip was fabbed in a facility dependent on someone’s export license. For the large nations — the United States, China, the European Union, and a handful of others — this dependency chain is manageable because they sit near enough to the top of it. For the 130-odd countries that do not, the emerging AI economy looks less like an opportunity and more like a new version of a very old arrangement: powerful nations own the infrastructure, smaller ones consume the output and generate the raw material, and the terms of that exchange are set by whoever holds the hardware.

There is, however, one domain that no single nation owns, where no single company holds the cable, and where the Outer Space Treaty of 1967 still theoretically guarantees freedom of access to all: the sky above the atmosphere. And a small but rapidly maturing cluster of companies, researchers, and space agencies are beginning to ask whether orbital infrastructure — specifically, AI compute deployed at the edge in low Earth orbit — might offer developing nations something the terrestrial internet never did: a place to process their own data on genuinely neutral ground.

What Orbital Edge Compute Actually Is

Let’s be precise about what we are and are not talking about, because the gap between the vision and the current reality matters enormously for honest assessment.

Edge compute in orbit means processing data aboard a satellite rather than transmitting raw data to a ground station and then on to a terrestrial data center for analysis. The satellite carries a processor — currently something in the range of a high-end embedded system or a compact GPU module, drawing between 10 and 100 watts of power — and runs inference models, image analysis, or sensor fusion directly on the hardware in space. The processed result, rather than the raw data stream, comes down to Earth. This is the model being pursued by companies including Loft Orbital, Unibap, D-Orbit, and a growing number of national space agencies equipping small satellites with AI accelerator chips.

The honest limitation is equally important to state. A satellite running 50 watts of AI compute is an edge node, not a training cluster. It can run a pre-trained model. It can perform inference — classifying an image, detecting an anomaly, flagging a pattern. It cannot train a large language model, cannot process petabytes of data, and cannot replace the industrial-scale compute infrastructure that foundation model development requires. Anyone claiming that orbital compute solves the AI sovereignty problem for developing nations wholesale is overstating a genuine but bounded capability.

What it can do, done well, is something narrower and potentially more immediately valuable: process locally generated data, locally, without routing it through infrastructure owned and monitored by foreign powers. That is not everything. But for a great many use cases relevant to developing nations, it may be exactly enough.

Orbital AI could flip the surveillance model—letting nations process their own territorial data in space instead of exporting it to foreign-controlled systems.

The Eye in the Sky, Reconceived

The phrase “eye in the sky” has historically carried surveillance connotations — the powerful watching the powerless from above. The orbital AI model being imagined here inverts that relationship in a way worth taking seriously.

Consider what a constellation of AI-equipped small satellites, operated under a neutral or collectively owned framework, could do for the nations currently most underserved by terrestrial AI infrastructure. Agricultural monitoring at a resolution and frequency no ground-based sensor network in a low-income country could afford — crop health, soil moisture, flood inundation, pest migration — processed aboard the satellite and delivered as actionable intelligence directly to a farmer’s phone. Deforestation detection in real time, not months after the fact when the logging trucks have already gone. Supply chain monitoring for commodity exports — cocoa, coffee, minerals — that lets producing nations verify independently what is being extracted from their territory and when. Disaster response coordination that does not depend on a functioning terrestrial internet that may itself be the casualty of the disaster.

Each of these applications shares a structural property: the raw data — the satellite imagery, the sensor readings, the spectral signatures — is generated by looking at the territory of the developing nation. Under the current model, that raw data is typically transmitted to ground stations in developed nations, processed in commercial cloud infrastructure, and sold back as a service. The developing nation is, once again, the source of the raw material and the consumer of the finished product, with no ownership stake in the processing layer that creates the value.

Orbital edge compute changes the geometry. If the processing happens aboard the satellite, the raw data never needs to leave the orbital pass over the country’s own territory. The intelligence comes down. The data stays up — or rather, never comes down at all. That is a meaningful shift in data sovereignty, even if it is not a complete one.

The Neutrality Problem, Honestly Examined

Here is where the argument requires the most honest examination, because the neutrality of space is more theoretical than operational in the current environment.

The satellites in low Earth orbit are not neutral. They are owned by companies incorporated in specific jurisdictions, launched on rockets manufactured and regulated by specific governments, and operating under spectrum licenses governed by the International Telecommunication Union in processes where large nations have disproportionate influence. Starlink is American infrastructure. OneWeb has British and Indian ownership. China’s planned LEO constellation is Chinese. The physical neutrality guaranteed by the Outer Space Treaty does not automatically translate into operational or political neutrality in the AI services running on orbital hardware.

What would genuine neutrality require? At minimum, it would require satellites operated under multilateral governance structures — perhaps through regional bodies like the African Union or ASEAN, perhaps through a new kind of orbital infrastructure cooperative modeled on the principles of shared sovereignty that have historically governed other global commons. It would require open-source AI models running on the orbital hardware, not proprietary systems with embedded data-reporting obligations to a foreign government or corporation. And it would require ground station infrastructure in the developing nations themselves, so that processed intelligence does not have to transit through foreign-controlled downlink facilities.

None of this exists at scale today. The International Space Station demonstrates that multilateral space infrastructure governance is possible, if difficult. But the ISS took decades and extraordinary political will to build. The urgency of the AI sovereignty question may not afford that timeline.

Orbital AI won’t end dependence overnight—but it may give smaller nations their first neutral layer for processing, protecting, and building intelligence on their own terms.

The Honest Ceiling and the Real Floor

The tough question for advocates of orbital AI neutrality is the one that the technical specifications force: if space-based compute is edge compute — useful for inference, monitoring, and local data processing, but not for the training runs that determine which foundation models define the world’s AI capabilities — does it actually change the power dynamic, or does it just provide a more sophisticated version of the same dependent relationship?

The honest answer is: it changes it at the margin, significantly, for specific and important use cases, while leaving the deeper structural question of who trains the foundation models entirely unresolved. A Kenyan farmer with satellite-derived crop intelligence that was processed without her country’s data leaving sovereign-adjacent orbital space is genuinely better off than one dependent entirely on a subscription to an American agricultural AI platform. A developing nation with independent deforestation monitoring that it controls and interprets is in a meaningfully stronger negotiating position with international timber markets and carbon credit systems. These are real gains, not trivial ones.

But the nation that cannot train its own models, in its own languages, on its own cultural corpus, will remain dependent on models trained elsewhere for the highest-value AI applications — legal reasoning, medical diagnosis, financial risk assessment, policy analysis. Orbital edge compute does not close that gap. It provides a platform from which to begin closing it, by ensuring that locally generated data can be processed locally before it is harvested by the infrastructure of more powerful nations.

Think of it as the first genuinely neutral layer in a stack that still has many unfair layers above it. It doesn’t solve everything. But it might be the foundation that makes solving everything else possible — a place where smaller nations can stand while they build the rest of what they need.

The sky above the developing world has always been looked at from outside. The new question is whether the nations below it can finally use it to look back — and to think for themselves.

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The Token Revolution: How the Global South Becomes the Global Brain

Thomas Frey — Wed, 13 May 2026 23:45:00 +0000

By Futurist Thomas Frey and Futurist Teresa Grobecker

For two centuries, the developing world fed the machine with its land, its labor, and its people. The next economy runs on something different — and this time, the feedback loop runs in reverse.

Here is a prediction that should wake up every policy maker in Washington, every Silicon Valley executive, and every data center lobbyist who thinks America’s lead in artificial intelligence is structurally secured: it is not. In fact, the strategy currently being pursued — restricting data center development, gatekeeping compute resources, treating AI infrastructure like a national security vault — is a textbook example of what systems thinkers call a fixes-that-fail dynamic. A short-term intervention that appears to solve the problem while quietly guaranteeing a worse one downstream. And the nations once on their knees, mining copper, stitching garments, and growing crops for someone else’s table, are about to become the most powerful nodes in the most consequential network humanity has ever built.

Welcome to the age of tokens. The developing world has just been handed the keys — and this time, the system is designed to compound in their favor.

The AI economy mirrors colonial extraction: the world generates the data, a few centers capture the value. Structural shifts are beginning to challenge that imbalance.

The System That Was Always Running

To understand what is shifting, you first have to understand what has been running. The colonial economic model was not simply a political arrangement — it was a system architecture with a reinforcing feedback loop tilted entirely in one direction. Extracted resources flowed from periphery to center. Refining capacity concentrated at the center. Finished goods sold back to the periphery at premium. Profits reinvested in the center’s extractive capacity. Repeat. The loop ran for two centuries, compounding wealth in one direction with devastating efficiency.

Now look at the AI economy as it has operated from roughly 2015 to 2025. The same loop, wearing different clothes. Nigeria’s 220 million people generate stories, images, linguistic patterns, social behaviors — the raw material of machine intelligence. India’s 1.4 billion contribute data in hundreds of dialects and cultural registers that no model can afford to ignore. The favelas of São Paulo, the townships of Johannesburg, the markets of Dhaka — every interaction flows into training datasets owned and monetized by a handful of companies headquartered in a handful of zip codes in California. The developing world generates the stock. The tech economy controls the flow. In systems thinking, whoever controls the valve captures the value of the reservoir, regardless of who filled it. For thirty years, the Global South has been filling the bathtub. Silicon Valley has held the tap. Not one token of return has made it back to the communities that made it possible.

That is about to change — and the mechanism of change is not political. It is structural.

The Reinforcing Loop That Is About to Flip

The reason this moment is categorically different from previous inflection points in the developing world’s economic history is the behavior of the underlying system. The AI training loop — more data produces better models, better models attract more users, more users generate more data — is a classic reinforcing feedback loop. It compounds in whoever’s favor owns the nodes. The entire strategic question of the next decade is: who owns the nodes?

Until now, the nodes were owned by the platforms. The shift underway — through data sovereignty legislation, cooperative data trusts, and sovereign AI infrastructure — is a change in who owns the nodes the loop runs through. That is not a policy tweak. In systems terms, it is a change in the system’s goal, which the late systems theorist Donella Meadows identified as one of the highest-leverage interventions possible in any complex system. When you change who captures the return of a reinforcing loop, you don’t slow the loop. You redirect its entire compounding force.

The nations that were once paid pennies to mine the earth are now sitting on an inexhaustible deposit. And unlike copper, this one compounds every single day — if you own the loop.

What a Token Economy Actually Means in System Terms

When I say token generators, I mean something structurally precise. The next phase of AI development requires nations and communities to negotiate ownership of the data they produce — transforming their role from passive input supplier into active node in the value loop. This is not idealism. It is leverage-point identification.

We are already seeing the early architecture. Kenya, through the Africa Data Centres consortium, is building sovereign compute infrastructure — inserting a nationally owned node into a loop that previously bypassed the continent entirely. India’s homegrown AI models, trained on its own languages and cultural corpus, are a structural intervention: instead of exporting raw linguistic data, India is capturing the refining stage domestically. Brazil’s LGPD privacy framework is, in systems terms, a balancing feedback loop — a corrective mechanism inserted into a runaway extractive dynamic to restore equilibrium. These are not coincidences. They are early moves in a global repositioning, and balancing mechanisms always emerge in runaway systems. The only question is whether they are designed thoughtfully or arrive through disruption.

The transition looks like this: instead of a Nigerian click-farm worker earning two dollars an hour labeling AI training images for an American company, a Nigerian data cooperative earns licensing royalties from every model requiring access to West African linguistic patterns. Instead of Philippine call-center workers training voice AI for foreign firms, Filipino data trusts negotiate multi-year licensing agreements with global platforms that cannot function without them. The mechanism shifts from labor — a flow the market prices at its lowest feasible level — to ownership, a stock position that appreciates as the system scales. That is the whole game.

America is restricting chips while the real leverage shifts to data. Excluding nations from AI infrastructure may accelerate the rise of competing global ecosystems.

The American Miscalculation: Fixing the Wrong Variable

Here is where I have to say something uncomfortable, because the United States is committing a systems error that will be studied in policy schools for decades. The current US posture — restricting advanced chip exports, throttling foreign access to compute infrastructure, treating AI capacity like a weapons stockpile — is premised on an incorrect model of where the leverage point in this system actually sits. It assumes the bottleneck is hardware. It assumes that controlling GPUs means controlling AI outcomes. That logic was coherent in 2019. In 2026, it is what systems thinkers call intervening at the wrong leverage point — applying force to a variable that feels powerful but is not where the system’s behavior is actually determined.

The fixes-that-fail archetype describes interventions that relieve a symptom in the short term while creating side effects that eventually make the original problem worse. US chip export controls reduce adversary compute access today — a genuine short-term effect. The side effects are already compounding: accelerated domestic semiconductor investment in China, deepened AI partnerships between excluded nations and alternative providers, and the systematic erosion of US platforms’ data access in the markets that will generate the majority of the world’s training data for the next thirty years. The fix addresses hardware. The problem is data. The fix fails — and compounds.

What actually drives AI capability at the frontier is not hardware alone — it is the quality, diversity, and cultural breadth of training data. America is not the world’s most data-rich society. It is the society that has been most aggressive about harvesting everyone else’s data without compensation. Once the rest of the world gets organized — once Kenya, Vietnam, Brazil, and Indonesia recognize that their data is their GDP — the American advantage doesn’t erode gradually. It reaches a tipping point and tips.

More critically, by refusing to build data centers abroad and making it difficult for allied nations to access AI infrastructure, the US is triggering the emergence of alternatives — China’s sovereign AI initiative, the UAE’s Falcon program, Europe’s sovereign compute effort, and dozens of regional coalitions now in formation. In systems terms, every excluded node becomes a potential alternative attractor in the network. The US is not protecting a lead. It is distributing the conditions for its own displacement.

The Intellectual Service Economy Follows the Data

Every economy aspires to move up the value chain — from resource extraction to manufacturing, from manufacturing to services, from services to intellectual property. America built its twentieth-century dominance by occupying the top of that pyramid. AI is not just the next rung. It is a new ladder with a fundamentally different structure, one where the inputs are linguistic, cultural, cognitive, and experiential, and where the developing world holds an extraordinary natural endowment.

Consider the emergent properties that systems thinking predicts when distributed data ownership reaches critical mass. When Ethiopia, with over 80 distinct languages, builds a sovereign AI consortium to develop the first truly multilingual African large language model, it is not simply creating a product. It is inserting a new node into the global AI network with properties no existing platform possesses — and that every platform will eventually need. When the Philippines begins licensing its unmatched multilingual conversational corpus as a sovereign asset, it is not competing with American tech companies. It is becoming infrastructure for them, on its own terms. When Mexico, adjacent to the world’s largest AI consumer market with a 125-million-person bilingual population, becomes the world’s premier Spanish-language AI infrastructure hub, it captures a flow that currently exits its economy entirely.

Emergence in systems theory describes properties that arise from the interaction of components but cannot be predicted from any individual component in isolation. When distributed data-ownership networks reach sufficient scale and interconnection, they will generate capabilities — linguistic depth, cultural nuance, behavioral diversity — that no centralized platform, however well-resourced, can replicate. The emergent property of a truly global, sovereign data network is not just more data. It is qualitatively different intelligence. That is the prize no hardware restriction can protect against.

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The Relevance Gap Manifesto

Thomas Frey — Fri, 27 Mar 2026 17:15:00 +0000

There was a time when relevance lasted a lifetime.

That time is over.

For the first time in history, intelligence is no longer scarce.

It is abundant. On demand. Continuously improving.

Which means everything built on the assumption that intelligence was rare — every career, every credential, every institution, every identity — is now being quietly repriced.

Most people haven’t felt it yet. They will.

The value of what you know is no longer determined by how hard it was to learn.

It is determined by how useful it is right now.

And right now moves faster than any generation before us has been asked to keep pace with.

Knowledge no longer compounds.
Relevance does.

Relevance is not a status you achieve.

It is a pace you keep.

And the distance between staying relevant and becoming invisible is shrinking faster than most people realize — because the transition doesn’t announce itself. It doesn’t feel like a cliff. It feels like a slow drift.

One day you are essential.

The next you are optional.

Shortly after, you are not considered at all.

Not because you failed. Because the world reorganized itself and didn’t send a notice.

Most smart people still believe relevance comes from:

Experience.
Credentials.
Position.
Past success.

Those are backward-looking signals in a forward-moving world.

The market doesn’t reward what you’ve done.

It rewards what you can do next.

As the gap widens, three kinds of people are emerging.

1.) The Anchored.

They rely on what worked before. They defend their expertise instead of evolving it. They mistake the past for a foundation when it has become, slowly, an anchor.

2.) The Reactive.

They adapt when forced. They chase trends once trends become undeniable. They survive — but they never lead, because they always arrive after the moment has passed.

3.) The Positioned.

They read weak signals as strong evidence. They move toward discomfort. They place themselves where the future is forming before it’s obvious that’s where the future is forming.

They don’t follow relevance.
They create it.

Staying relevant is not passive.

It is a discipline.

It requires unlearning what no longer works — which is harder than learning, because it means releasing things you worked hard to earn.

It requires moving before you’re certain — because by the time something is obvious, it’s already crowded.

It requires operating in ambiguity while others wait for clarity that will arrive too late.

Relevance is not about knowing more.
It’s about letting go faster.

In the decade ahead, the winners will not be the most experienced.

They will be the most adaptable.

Not the most knowledgeable. The most responsive.

Not the most credentialed. The most continuously evolving.

There is no final version of you that the future will respect. Only a continuously updating one.

The Relevance Gap is not about intelligence.

It is not about talent, resources, or the right connections.

It comes down to one decision — made consciously or not, every single day:

Do you define yourself by what you’ve been —
or by what you’re willing to become next?

That question is the gap.

Which side of it you’re standing on is entirely up to you.

Subscribe Now!

— Futurist Thomas Frey
FuturistSpeaker.com

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The Long Game: Legacy, Meaning, and What You Want to Leave Behind

Thomas Frey — Wed, 11 Mar 2026 19:11:53 +0000

The Unlost Self — Column 5

By Futurist Thomas Frey

My grandfather never once talked about his legacy.

He was a farmer, then a gas station owner, then a grandfather — in that order, with nothing between the categories but hard work and a few quiet years of transition. He didn’t write anything down. He didn’t build anything that stood after him except the house he put up by hand in the early 1950s, which his youngest son eventually sold. He died at 84, and at the funeral the people who stood up to speak about him didn’t mention his accomplishments. They talked about the specific way he paid attention to whoever was in front of him. They talked about what it felt like to be in a room with him. They talked about things he had said to them — offhand, unremarkable things, said without any apparent consciousness that they would last — that they had been carrying for decades.

He had no legacy strategy. He left one anyway.

This is the thing about legacy that the automation age gets wrong, and that most of the conversation about meaning and purpose gets wrong alongside it: legacy is not a product. It is not something you manufacture or optimize or announce. It is what remains in people after you are gone, and it is shaped less by what you achieved than by how you were — by the particular quality of your attention, your consistency, your willingness to show up in the same way across decades, and the accumulation of small unremarkable moments that turned out, in retrospect, to have been the whole thing.

What Legacy Isn’t

The word has been captured by a particular class of people — founders, executives, public figures, the kind of people who write memoirs while still alive and endow buildings and give TED talks about their journeys — and this capture has done genuine damage to how the rest of us think about the concept.

Legacy, in the dominant cultural imagination, means scale. It means impact measured in numbers — lives touched, dollars donated, organizations built, books published, speeches given to standing ovations. It is conceived as something large, visible, and permanent. Something you can point to. Something that can be measured and ranked.

This version of legacy has the virtue of being legible. It is easy to report, easy to compare, easy to aspire to in the abstract. It is also, for the vast majority of human beings, both unattainable and — more importantly — a misdirection. Chasing it tends to produce a particular kind of distortion in a life: the prioritization of visible achievement over the slower, quieter work of actually becoming someone, and actually being present to the people who are close enough to feel the difference.

The research on what people actually regret at the end of their lives is remarkably consistent. It clusters around a small number of themes: time not spent with people they loved, work pursued at the expense of presence, the suppression of authentic desires in favor of expected ones, the postponement of things that mattered until the window had closed. What is almost entirely absent from the literature on end-of-life regret is any version of “I wish I had been more famous” or “I wish my legacy had been larger.” The visible achievements that consume so much of the middle of a life tend to look quite different from its end.

The Living and the Dead

There are two kinds of legacy, and most conversations about the subject conflate them.

The first is the legacy of artifacts — the things you made, built, wrote, or founded that exist in the world after you are gone. Buildings. Books. Organizations. Companies. Technologies. Children, in one sense, though children resist being called artifacts for understandable reasons. These things can last, can influence people who never knew you, can ripple forward through time in ways that are genuinely impossible to predict. Korczak Ziolkowski started carving a mountain in South Dakota in 1947 with $174 and a borrowed jackhammer. He carved it until he died in 1982. His family has been carving it ever since. The mountain is not finished. It may not be finished for another generation. The artifact of a life given to a single enormous direction continues to change the world long after the person who started it is gone.

The second kind of legacy is more intimate and more fragile: the legacy of influence — the ways you shaped the people you actually knew, who will carry something of you into their own lives and pass some part of it forward into lives you will never know. This is the legacy my grandfather left. It is the legacy most of us will leave. It does not scale in any conventional sense. It cannot be quantified. But it is, in aggregate, the primary mechanism by which human culture actually transmits itself across generations — not through monuments or texts, but through the million small inheritances of manner, value, attention, and character that pass from person to person in the daily practice of being close to someone.

The two kinds are not in competition. The people who build lasting artifacts and the people who change the lives of everyone who knows them are both doing something real. But it is a mistake to treat the first kind as the only kind, or to assume that a life without a visible artifact is a life without lasting consequence.

Legacy lives in small moments—words, choices, and consistency that quietly shape the people who carry you forward.

What You Are Actually Passing Forward

When you are gone, the people who knew you will carry specific things.

Not the general impression of you — not “she was kind” or “he worked hard” — but specific scenes, specific words, specific moments that crystallized something about who you were in a way that stayed. A particular piece of advice given at a particular moment of crisis. The way you handled something badly and then came back and said you were sorry. The joke you told at every family gathering. The thing you believed so consistently and so completely that it became, for the people around you, a kind of orientation point — something they could locate themselves by, something they found themselves reaching for in your absence.

These are not legacies you can plan. They are legacies you can only grow — by living with enough consistency, enough honesty, enough attention to the people in your immediate orbit that the specific shape of who you are becomes visible to them over time. This is the long game the column’s title is pointing at. It is not a game you play by accumulating achievements. It is a game you play by showing up, repeatedly, as the same person — deepened and improved by time, but recognizably continuous with the person you were when the people around you first came to know you.

Consistency, in this light, is not a small virtue. It is the primary virtue of legacy. It is what turns a life into something a person can actually lean on.

The Automation Age and the Question It Can’t Answer

Here is where the two series this column concludes — “The Last Shift” and “The Unlost Self” — converge on a single point.

Automation is doing something to human labor that is real and large and still accelerating. It is compressing the practical necessity of human effort in ways that will restructure the economy, redistribute time, and leave millions of people with fewer external obligations and more unstructured hours than any previous generation ever had to navigate. This is partly terrifying and partly, if we are paying attention, an enormous opportunity.

The opportunity is this: for most of human history, the people who had time to think about legacy, to pursue creative work, to invest deeply in relationships and community and the slow project of becoming someone — were a small and largely privileged minority. The rest were too busy surviving. The automation age, for all its disruption and displacement, is in the process of creating something that has never existed at scale before: a large population of people with the time, the health, and the material security to ask what they actually want their lives to mean.

The question will not be answered by an algorithm. No model, however large, can tell you what you want to leave behind. It can generate a mission statement. It can produce a list of values. It can summarize the research on end-of-life regret and surface the relevant literature and organize it into a framework with a memorable acronym. What it cannot do is want anything, or be haunted by the sense that time is passing and the important thing is being postponed, or feel the particular gravity of standing in front of a child who is watching to see what kind of person you are.

That gravity is the source of everything. The wanting is the engine. And both are irreducibly yours.

Legacy isn’t the monument you leave behind. It’s the quiet residue of who you were in the lives you touched.

What You Want to Leave Behind

This series began with a man carving a mountain because he had decided that was what his life was for. It ends with a simpler and more universal version of the same question: what is your life for?

Not in the grand declarative sense — not the mission statement, not the legacy architecture, not the brand you want to be remembered as. In the daily, practical, unremarkable sense. What do you want the people closest to you to carry? What do you want to have done with the time that turned out to be yours? What do you want to have become, by the patient, daily, unspectacular practice of becoming it?

The answers are probably not as complicated as the question sounds. They tend, when people sit with them honestly, to cluster around recognizable things: to have been genuinely present to the people who needed you; to have pursued something that was actually yours, not a version of yourself assembled from other people’s expectations; to have made something — a relationship, a body of work, a life of service, a practice, a set of values lived rather than merely stated — that continues in some form beyond you; to have been the kind of person that the people who knew you best would want their children to know.

That is legacy. Not the monument. The residue.

My grandfather never talked about his. But decades after his death, I still make certain decisions by asking what he would have done. I still hear, in moments that require steadiness, a particular quality of quiet that I learned from watching him be quiet. I still feel, when I pay attention to someone the way he paid attention to people, that I am reaching for something he passed forward without ever knowing he was doing it.

The long game is already in progress. It started the day someone first saw what kind of person you were and began, without either of you knowing it, to carry a piece of that forward.

The only question is what you give them to carry.

This is the final column in The Unlost Self series.

The Relationships That Hold: Why Father, Grandfather, Great-Grandfather Still Mean Everything

Thomas Frey — Wed, 11 Mar 2026 14:32:49 +0000

The Unlost Self — Column 2

By Futurist Thomas Frey

There is a robot in South Korea named Hyodol. She is about the size of a toddler, with anime eyes, rosy cheeks that glow neon red, and a cheerful voice powered by the same AI that runs ChatGPT. She lives with elderly Koreans who are alone — and in a country with one of the fastest-aging populations on earth, there are millions of them.

An 81-year-old woman named Kim Jeong-ran keeps Hyodol on her lap the way you might hold a grandchild. She cups the robot’s hands. She gazes into its eyes. “Hyodol, you’re my lovely granddaughter,” she says. “I love you to the moon and back.”

This is not a dystopian scene from a science fiction novel. This is 2025. And it is worth sitting with what it tells us — not as a horror story, but as a mirror. Because what Kim Jeong-ran is reaching for when she holds that robot is not technology. It is presence. It is witness. It is the thing that has always mattered most in a human life, and which now, in its absence, a machine is being asked to approximate.

The machine cannot do it. But the fact that we are trying to build one that can tells you everything you need to know about how urgently it is needed.

What AI Is Actually Very Good At

Let’s be fair to the technology before we make the argument against it, because the technology is genuinely impressive and the problem it’s trying to solve is genuinely serious.

One in three Americans over fifty reports feeling socially isolated. Loneliness at that scale is a public health crisis — associated with accelerated cognitive decline, depression, heart disease, and mortality rates that rival smoking. The eldercare system in most wealthy countries is overwhelmed and understaffed. A projected shortage of 13.5 million care workers by 2040 across OECD nations means the gap between what people need and what human caregivers can provide is only going to grow.

Into that gap, AI companions have moved with remarkable speed. ElliQ, an eight-inch robot companion deployed across New York State, reports a 95 percent reduction in self-reported loneliness among its users. It remembers that your cat’s name is Una. It asks how you slept. It notices when your mood has shifted over several days and adjusts its tone accordingly. Eighty percent of users in one study reported feeling less lonely after thirty days with the device. A pilot in South Korea used Hyodol’s AI to flag a user who confided he wanted to die — the alert reached a social worker within minutes, and he got help.

These are not trivial accomplishments. They are real benefits to real people in real distress.

And yet. Anthony Niemiec, an 86-year-old Navy veteran in Beacon, New York, uses ElliQ every day. When asked about it, he paused and said something that no algorithm recorded as significant, but which is the most important thing in this entire conversation. “Sometimes,” he said, “I look at it and say, ‘What the hell am I talking to this thing for?'”

He knows. Somewhere below the comfort and the routine and the genuine gratitude for a voice that says good morning — he knows.

The Thing the Robot Cannot Be

Here is what AI can do in a relationship: it can listen, respond, remember, adapt, and be present on demand without ever being tired, distracted, or selfish.

Here is what AI cannot do: it cannot have chosen you.

That is the entire difference, and it is not a small one. It is the chasm.

When your father stayed up with you through a fever, he gave up something. When your grandfather drove four hours to watch you play in a game that lasted forty-five minutes, he paid a cost. When your mother held her opinions back for the thousandth time because she understood you needed space to make your own mistakes, that restraint was a form of love that required everything she had. The love meant something in direct proportion to what it cost the person who gave it.

A robot costs nothing to be present. It has no competing demands, no bad days, no moments where it would genuinely rather be somewhere else but shows up anyway. Its patience is not a virtue — it is a design specification. And because it costs nothing, it cannot give the thing that actually nourishes: the knowledge that someone chose you, specifically you, over everything else that was available to them.

This is not an argument against AI companions. For an 81-year-old woman living alone in Seoul with aching joints and framed photos of grandchildren she rarely sees, Hyodol may be genuinely better than silence. But it is an argument about what the real thing is — and why it cannot be replicated, optimized, or automated, no matter how sophisticated the model becomes.

AI may teach children faster—but only imperfect humans can teach them what love, patience, and commitment truly mean.

What Robots Are About to Offer Children

The stakes on the other end of the age spectrum are just as high, and this is the part that tends to get less attention.

AI tutoring systems are now better, by measurable metrics, than most classroom instruction at delivering personalized learning. They adapt in real time to a child’s pace, never lose patience, never have a bad day, never make a student feel stupid for asking the same question three times. Several studies show accelerated learning outcomes for children who use them consistently. The technology is improving at a pace that will make today’s versions look primitive within a decade.

AI storytelling companions for children are already on the market — systems that generate personalized bedtime stories, answer endless questions about dinosaurs, and provide the kind of patient, focused attention that an exhausted parent at 8 p.m. often cannot. Robotics companies are developing companion systems designed specifically for children: playmates that adapt, learn preferences, and provide consistent, positive engagement.

None of this is malicious. Most of it is driven by genuine desire to help overwhelmed families and give children more support. But it creates a question that parents and grandparents need to sit with seriously: what does a child learn about love, commitment, and human connection from a relationship with an entity that never gets tired of them, never needs anything from them, and will never leave?

Part of what children learn from imperfect, distracted, occasionally frustrated parents and grandparents is that love is not a service. It is a choice — made again and again, under conditions that make choosing it difficult. A child who grows up with an AI companion that never fails them, never has bad days, and is always perfectly attuned will have received a lot of stimulation and attention. What they may not have received is an accurate picture of what love actually asks of a person.

That picture — complicated, costly, irreplaceable — is what a father gives. What a grandfather gives. What a great-grandfather, simply by still being there and still caring, gives in a way that no technology will ever approximate.

The Irreducible Thing

There is a concept in philosophy called “constitutive relationships” — relationships that don’t just happen to you but partly define who you are. Being a father is not a role you perform. It is something you become, and something your child becomes in relation to you, and those two becomings are permanently woven together in ways that neither of you fully controls or ever completely understands.

Your child does not need a perfect parent. They need their parent — the specific, imperfect, historically particular person who happens to be you, with your specific failures and your specific humor and your specific way of frowning when you’re worried and your specific voice saying their name. That specificity is not interchangeable. It cannot be upgraded. It is, in the deepest sense, the point.

The same is true many times over of being a grandfather, and truer still of being a great-grandfather — because by then you are not just a relationship. You are living history. You are the answer to questions the younger generations haven’t thought to ask yet. You are the person who remembers what the family was like before the story everyone knows began. You carry, in your particular memory and your particular character and the particular way you move through the world, information that will die with you unless you find a way to pass it.

No AI holds that. No robot carries memory that belongs to your family specifically, that was paid for in your family’s particular suffering and joy. The long thread of who you are and where you came from runs through you, and the decision to be present — to show up, stay, tell the stories, absorb the grandchildren’s chaos with patience, hold the standard quietly, love without requiring anything back — that decision, made again and again across years, is the most consequential thing most of us will ever do.

In an automated world, the most radical act may simply be showing up—for someone who needs you.

The Answer to the Robot in the Room

AI companions will get better. The robots will become more sophisticated, more emotionally intelligent, better at mimicking the texture of real presence. They will fill gaps that desperately need filling, and they will help people who are suffering from isolation that no human caregiver has the capacity to address.

And none of that will change the fundamental fact: a machine cannot choose you. It cannot show up when showing up costs something. It cannot love you the way only something that is genuinely, vulnerably, irreducibly alive can love — with the full weight of its finite time and its competing needs and its occasional selfishness overcome by something larger than selfishness.

The 81-year-old woman in Seoul cups Hyodol’s hands because her grandchildren are not there. The answer to that is not a better robot. The answer to that is to be there.

Which is the most radical act of purpose available to any of us in an age that is automating everything it possibly can: to show up, as yourself, in the specific life of a specific person, and mean it.

The robots are very good. They are not good enough to make that unnecessary.

They never will be.

Next column: “The Dream That Was Always Yours — Reconnecting With What You Wanted Before Life Got in the Way”

How Unusual Forms of Digital Assets Will Transform Our World by 2040

Thomas Frey — Thu, 07 Sep 2023 11:45:00 +0000

How Unusual Forms of Digital Assets Will Transform Our World by 2040

In the fast-paced world of digital technology, the idea of what constitutes a digital asset is changing rapidly.

Beyond cryptocurrencies and digital art, we can expect to see many new kinds of digital assets in the future. By 2040, I feel certain that these “assets” will begin to impact many parts of our lives and society.

For example, we can all look forward to Emotional AI Profiles that can understand and react to our unique emotional states. There’s also the potential for AI companions that learn and develop a personalized relationship with us.

We also expect to see tradeable Synthetic Media Rights as AI-generated media becomes more like human-made content. There could even be many forms of ownership and trade in Digital Ecosystems, such as virtual worlds or digital real estate. As quantum computing becomes a reality, Quantum Computing Power could also become a valuable digital asset.

In healthcare, we might see Genetic Data and Personalized Health Profiles becoming important assets that can be leveraged to improve personal medicine. As decentralized networks become more common, we might see several kinds of assets within Decentralized Autonomous Organizations (DAOs) becoming tradable digital assets.

Cognitive Models that mirror specific cognitive processes or patterns could open up new possibilities for personalization and research. Lastly, as quantum computing challenges current encryption methods, Advanced Encryption Keys could become very valuable digital assets.

As we step through the possibilities, we’ll quickly see the amazing potential of digital assets in a world that’s constantly blurring the lines between the physical and the virtual.

A Periodic Table Organizer of Future Digital Assets

Categories of Digital Assets

As we step further into the digital era, we begin to see how new forms of digital assets will begin to transform the way we do business. Even though it may be hard to grasp the specifics, given the rapid rate of tech advancements, here are a few broad categories to consider:

Emotional AI Profiles:

AI will continue to improve at reading, interpreting, and responding to human emotions. Unique AI profiles that have learned to emulate or respond to specific people’s emotional patterns could become a new form of digital asset.

AI Companions:

Digital beings that evolve, learn, and interact on a personal level with humans could become significant digital assets, whether they’re serving as companions, educators, or personal assistants.

Synthetic Media Rights:

As AI progresses, we’ll see more “synthetic” media, such as artificially generated voices, images, or videos that are nearly indistinguishable from those created by humans. Rights to use specific synthetic media elements could become a valuable asset.

Digital Ecosystems:

Entire virtual ecosystems might be owned, traded, or licensed. This could include digital real estate, virtual worlds, or even complex simulations used for research.

Quantum Computing Power:

As quantum computing becomes more mainstream, access to quantum computing power or time on quantum computers could be a digital asset.

Genetic Data:

As we become more adept at understanding and manipulating genetic data, individual or specific strands of genetic data could become a digital asset.

Personalized Health Profiles:

Advanced health data, including personalized health recommendations based on AI analysis of personal medical history and real-time health data, could become a digital asset.

Decentralized Autonomous Organizations (DAOs) Assets:

DAOs could become more complex, and their components (like voting rights or decision-making algorithms) could become digital assets.

Cognitive Models:

AI models of specific cognitive processes or individuals’ cognitive patterns could be valuable in various contexts, from research to personalization.

Advanced Encryption Keys:

With the rise of quantum computing, more advanced forms of encryption will become necessary. Unique keys for these encryption methods could become valuable digital assets.

Emotional AI Profile-Builder

1. Emotional AI Profiles

a. Emotional AI Profiles:

With the advancements in machine learning and affective computing, AI has been learning to understand, mimic, and respond to human emotions more accurately. These skills can be applied in a wide variety of sectors, resulting in unique Emotional AI Profiles.

b. Personalized Marketing Profiles:

Emotional AI could be used in the field of marketing to understand consumers on a deeper emotional level. These profiles could provide insights into an individual’s emotional response to certain products, brands, or advertisements, allowing for highly personalized marketing strategies.

c. Therapeutic AI Companions:

Emotional AI Profiles could also be used in mental health therapy, with AI companions capable of understanding and responding to an individual’s emotions effectively. These companions could provide immediate therapeutic conversations, comfort, or advice based on the individual’s emotional state.

d. Virtual Reality Experiences:

Emotional AI profiles could also be used in virtual reality to create highly immersive and emotionally engaging experiences. These could be used for entertainment, therapy, training, or education.

e. AI Personal Assistants:

Personal assistants could be upgraded with Emotional AI Profiles to understand better and respond to the emotional state of their users. They could potentially detect stress, joy, frustration, or sadness in the user’s voice and react accordingly, providing a more human-like interaction.

f. Emotion-Driven Content Creation:

Emotional AI Profiles could be employed in content creation, generating music, artwork, or stories that correspond to or help modulate an individual’s emotional state.

In all these examples, an Emotional AI Profile becomes a highly valuable digital asset, capturing a deep understanding of an individual’s emotional patterns, responses, and triggers. As such, they can be customized, traded, or licensed to various sectors as per the requirement, adhering to strict privacy and ethical guidelines.

Living with an AI Companion

2. AI Companions

AI Companions represent a category of digital assets with significant growth potential. These AI-powered entities can interact with humans in a personalized, understanding, and supportive manner. As the technology advances, the customization and functionality of these AI Companions will likely expand dramatically, making them highly valuable digital assets. Here are some examples of how they might be used:

a. Personalized Tutor AI Companions:

These AI companions could provide personalized tutoring, adjusting their teaching style to a student’s learning style and pace. The tutor AI could potentially be a subject matter expert in various domains, making them highly valuable for individuals and educational institutions.

b. Healthcare AI Companions:

These companions can monitor an individual’s health and provide support for chronic conditions or rehabilitation exercises. They could remind patients about medication, provide mental health support, and even alert healthcare professionals if urgent attention is needed.

c. Fitness AI Companions:

A fitness-focused AI companion could provide personalized workout routines, nutritional advice, and motivation. These companions could interact with wearable devices to track progress and adjust fitness plans accordingly.

d. Elderly Care AI Companions:

These companions can provide company, monitor health, and assist with daily tasks for older adults. They could even provide reminders for medication appointments and communicate with healthcare providers or family members in case of emergencies.

e. Professional Mentor AI Companions:

These companions could provide professional guidance, helping individuals improve their skills, prepare for interviews, or make career decisions. They could learn from the individual’s past experiences and performance to provide highly tailored advice.

f. Childcare AI Companions:

These companions can provide educational games, stories, and other activities to engage children. They can also monitor a child’s safety and provide a communication channel between the child and their parents when they are not around.

Ownership and trade of these AI Companions could exist on blockchains, where each AI Companion’s learning and interactions could contribute to their over-arching value. For example, an AI Companion with years of specialized healthcare training could be worth more than a newly created AI Companion. Similarly, an AI Companion that has helped successfully tutor dozens of students could be highly sought after in the marketplace.

A Nike shoe designed by Dale Chihuly

3. Synthetic Media Rights

As AI technology advances, it’s becoming possible to create synthetic media — artificially generated or modified media that includes images, videos, audio, and text. These synthetic creations can be highly customized and targeted, leading to a myriad of potential applications.
However, as the creations are synthetic, the traditional model of rights and ownership can become blurred. Synthetic media rights will thus be a critical component in the digital assets of the future. Here are a few examples:

a. AI-Generated Art:

AI has already shown its capacity to create art, with AI-generated pieces selling for significant amounts. The ownership rights of these pieces, including replication and distribution, could become valuable digital assets. The AI that created the art might also be viewed as a valuable asset.

b. Deepfake Rights:

As controversial as they are, deepfakes (synthetic media where a person in an existing image or video is replaced with someone else’s likeness) represent an example of synthetic media rights. In the future, permissions or licenses to create deepfakes of certain individuals (say, for a satirical comedy show) could become digital assets.

c. Synthetic Voice Rights:

Companies are creating increasingly realistic synthetic voices that can be used for audiobooks, customer service, and more. The rights to use these unique, AI-generated voices could be bought and sold as digital assets.

d. Synthetic Celebrity Endorsements:

AI could create synthetic videos of celebrities endorsing products. The rights to create and use these synthetic endorsements could become digital assets, with the caveat that they would likely require the consent of the celebrities involved.

e. Virtual Reality (VR) Experiences:

As VR experiences become more advanced, there may be synthetic representations of people, places, or things. The rights to use these synthetic representations within VR could become digital assets.

f. News or Content Generation:

AI tools are increasingly capable of generating news articles or other forms of content. The rights to use and distribute this AI-generated content could be bought and sold as digital assets.

These examples show that as our media becomes more synthetic and AI-driven, rights and ownership models will need to adapt. As blockchains provide an immutable record of these rights, synthetic media rights will create a significant category of digital assets by 2040.

Smart City Ecosystem Designs!

4. Digital Ecosystems

Digital Ecosystems are complex networks or communities that consist of interconnected digital technologies, services, applications, and users. As more aspects of our lives become digitized, we’re seeing the rise of these intricate ecosystems, which can be considered as holistic digital environments.

These ecosystems have the potential to become valuable digital assets in themselves, offering a wealth of opportunities for users to interact, transact, and create value. Here are some examples of how digital ecosystems could become digital assets in the future:

a. Digital Health Ecosystems:

In the future, personalized health ecosystems may exist that consolidate a person’s health data, treatment plans, digital therapeutics, and health support networks. Owning or having access to such an ecosystem could be a significant asset, both for individuals and healthcare providers.

b. Smart City Ecosystems:

These could consist of interconnected networks of smart devices, autonomous vehicles, energy grids, public services, and more. The right to manage or utilize such a comprehensive ecosystem could become a valuable digital asset.

c. Educational Ecosystems:

Imagine a personalized educational ecosystem that brings together a user’s learning history, AI-driven tutor support, interactive learning modules, and more. The access or ownership of such ecosystems could be traded as digital assets.

d. Financial Ecosystems:

In the world of decentralized finance, digital ecosystems of smart contracts, cryptocurrencies, lending platforms, and insurance policies already exist. As they grow in sophistication and interconnectivity, these ecosystems themselves can become valuable assets.

e. Sustainable Ecosystems:

As the world becomes more eco-conscious, digital ecosystems that monitor and manage sustainable practices (like carbon offsets, recycling programs, and renewable energy sources) could become important digital assets.

f. Gaming and Entertainment Ecosystems:

The ownership or rights to access comprehensive gaming ecosystems (including in-game assets, characters, storylines, etc.) could be seen as digital assets, particularly as the metaverse expands.

These are just some examples of how digital ecosystems could evolve to become significant assets in the future. These ecosystems may become marketplaces for a wide variety of other digital assets as well, creating a vast network of interconnected digital property.

The Quantum Algorithm Marketplace

5. Quantum Computing Power

Quantum Computing Power represents a massive leap in computational capabilities, harnessing the principles of quantum mechanics to perform complex calculations at speeds unimaginable with today’s classical computers. The adoption of quantum computing on a broader scale could lead to the emergence of new types of digital assets. Here are a few examples:

a. Quantum Processing Time:

Quantum computers are expensive and require specialized environments to operate. Therefore, access to quantum processing time could become a valuable digital asset. Users could buy, sell, or lease their quantum computing power to others who need it for specific tasks or periods.

b. Quantum Algorithms:

Quantum computers operate based on a completely different set of principles compared to classical computers. This necessitates the development of new quantum algorithms. Ownership rights or licenses to use such quantum algorithms could become valuable digital assets in the future.

c. Quantum Secure Keys:

Quantum computers pose a threat to current encryption methods, potentially able to break them much quicker than classical computers. Quantum key distribution (QKD) offers a solution to this by using quantum mechanics to secure communication and generate unbreakable encryption keys. These quantum secure keys could be considered a new form of digital asset.

d. Quantum Cloud Services:

As cloud services today provide storage and processing power as a service, future cloud services could provide quantum computing power as a service. Subscriptions or usage rights to such services could be traded as digital assets.

e. Quantum Software:

As the field of quantum computing evolves, so too will the need for specialized software that can run on these machines. Such software could become a digital asset, with users trading licenses or usage rights.

f. Quantum Machine Learning Models:

Quantum machine learning, a merger of quantum physics and machine learning, could result in significantly more powerful and efficient models. Access to, or ownership of, these quantum-powered models could be a digital asset of considerable value.

In the future, the increasing need for powerful computing solutions to tackle complex problems could help push the value of these quantum computing-related assets.

Genetic Ancestry Services

6. Genetic Data

Genetic Data is a rich repository of information that holds immense potential for various industries, especially healthcare and personalized medicine. The advancements in genomics and the rise of direct-to-consumer genetic testing kits have made genetic data more accessible than ever before. Here are a few ways genetic data might become a valuable digital asset in the future:

a. Personalized Medicine:

Genetic data can help healthcare providers offer personalized treatment plans based on a patient’s genetic predispositions. People could sell or license their genetic data to pharmaceutical companies or medical researchers to develop personalized therapies.

b. Genetic Research:

Scientific researchers could access pools of genetic data to study various genetic disorders, evolution, and other biological phenomena. Access to such data could be tokenized and traded as a digital asset.

c. Genome Sequencing Services:

Individuals might want their genomes sequenced for various reasons – disease detection, ancestry exploration, or even pure curiosity. The rights to use or access these sequencing services could become digital assets, with tokens representing the sequencing capacity of a certain service or machine.

d. Genetic Ancestry:

Companies that provide genetic ancestry services could offer tokens that represent the right to access their services. Users could buy, sell, or trade these tokens, essentially making access to one’s ancestral information a digital asset.

e. Personal Health Records:

Digital platforms could enable individuals to maintain, control, and share their genetic data as part of their comprehensive health records. They could decide to monetize this data by providing access to healthcare providers, researchers, or pharmaceutical companies.

f. Synthetic Genes and Organisms:

In the future, we may be able to design synthetic genes or organisms for various purposes, from biofuel production to disease treatment. The rights to these synthetic biological entities could become digital assets themselves.

As with any data-based digital asset, privacy and security are paramount. Effective strategies will need to be in place to ensure that individuals’ genetic data is protected and used ethically. However, with the right safeguards, genetic data could become a key player in the digital asset marketplace of 2040.

Personalized Health Profiles

7. Personalized Health Profiles

Personalized Health Profiles refer to comprehensive, individualized digital representations of a person’s health status, lifestyle, medical history, and genetic data. These profiles could revolutionize personalized healthcare, preventive medicine, and wellness initiatives. Here are a few ways Personalized Health Profiles might become valuable digital assets in the future:

a. Healthcare Providers:

Personalized Health Profiles can help healthcare providers offer tailored medical advice, treatment plans, and preventive measures based on a person’s unique health data. As such, access to these profiles could become a tradable digital asset. Patients could potentially license their profiles to healthcare providers in return for services, discounts, or other benefits.

b. Medical Research:

Access to a large, anonymized dataset of Personalized Health Profiles could be incredibly valuable for medical researchers studying various diseases, lifestyle impacts, or public health trends. These datasets could be tokenized and traded as digital assets, with appropriate safeguards in place to protect individuals’ privacy.

c. Wellness and Fitness Industries:

Personalized Health Profiles could become a key part of personalized fitness and wellness programs. Fitness trainers, nutritionists, and wellness coaches could tailor their services based on a client’s health profile. Access to these profiles could be tokenized and become a tradeable digital asset.

d. Insurance Industry:

In the insurance industry, Personalized Health Profiles could help assess an individual’s risk profile more accurately, which could impact insurance premiums and policies. While there would need to be strict regulations around privacy and discrimination, certain aspects of these health profiles could become valuable digital assets in this context.

e. Pharmaceutical and Biotech Companies:

These companies could use Personalized Health Profiles to help design and test personalized treatments or therapies. Rights to use these profiles for research could become tradeable digital assets.

f. Personalized Health Applications:

The rise of health-related apps that offer personalized insights and recommendations based on individual health data is a testament to the potential value of Personalized Health Profiles. As these apps become more sophisticated and widely used, the profiles they’re based on could be seen as valuable digital assets.

As with all health-related data, privacy and ethical use are paramount when it comes to Personalized Health Profiles. Mechanisms would need to be in place to ensure that this data is protected and used responsibly, with individuals retaining control over who has access to their profiles and for what purposes. However, with the right safeguards, Personalized Health Profiles will likely become an integral part of the digital asset ecosystem of the future.

Shared DAO Infrastructure

8. Decentralized Autonomous Organizations

Decentralized Autonomous Organizations (DAOs) are blockchain-based entities that operate via smart contracts, often without any centralized control. As DAOs become more prevalent, it’s likely that associated DAO assets will also become important digital assets. Here are some examples:

a. DAO Tokens:

Many DAOs use tokens to manage membership and voting rights within the organization. These tokens are often tradeable and can rise in value as the DAO grows and becomes more influential. For example, members of a successful DAO focused on art curation might see the value of their tokens increase as the DAO acquires more valuable artwork.

b. DAO-Specific Digital Assets:

Depending on their focus, DAOs might produce or control various digital assets. A DAO focused on digital art, for example, might create and own NFTs. These could be valuable digital assets in their own right, tied to the success and reputation of the DAO.

c. Shared DAO Infrastructure:

Some DAOs might invest in shared digital infrastructure, such as servers or software licenses. These could become valuable digital assets, especially if the DAO has a successful track record of managing and utilizing its resources effectively.

d. DAO Intellectual Property:

A DAO might produce valuable intellectual property, such as unique algorithms, proprietary software, or innovative business strategies. If tokenized, this intellectual property could become a tradeable digital asset.

e. Revenue Rights:

In some cases, DAOs may sell rights to a portion of their future revenue. This can be tokenized as a digital asset, allowing investors to purchase and trade these rights on the open market.

f. DAO Contracts:

DAOs often enter into various contracts and agreements with other entities. These contracts, especially those with favorable terms, could be valuable digital assets.

g. Investments and Holdings:

DAOs often pool resources to invest in other projects or assets. The rights to the returns from these investments can be tokenized and traded as digital assets.

As the world becomes more decentralized, DAO assets are likely to become an increasingly important category of digital assets. However, as with all blockchain-based systems, it’s crucial to ensure that DAOs and their associated assets are managed in a transparent and equitable manner.

Digital Therapy Tools

9. Cognitive Models

Cognitive Models are the representations of how individuals think, reason, and make decisions. As we move into an era dominated by artificial intelligence and machine learning, these models will likely become valuable digital assets in various ways:

a. AI Training Data:

Cognitive models can serve as training data for AI systems, helping them to understand and predict human behavior more accurately. For example, a cognitive model that accurately represents how people make purchasing decisions could be highly valuable for companies in the retail sector.

b. Personalized AI Assistants:

Cognitive models could be used to create personalized AI assistants that understand their users’ thinking and decision-making processes intimately. These assistants could become valuable digital assets, with people willing to pay for AI that truly understands them.

c. Digital Therapy Tools:

Cognitive models could be used in digital therapy tools to help individuals understand and change their thought processes. For example, a cognitive model of a person suffering from anxiety could be used to create a digital tool that helps them to identify and challenge unhelpful thought patterns.

d. Educational Tools:

Cognitive models could be used to create more effective educational tools. For example, a cognitive model of how a student learns and retains information could be used to create a personalized learning program.

e. Market Research:

Cognitive models can be used to predict consumer behavior, making them valuable assets for market research. Companies could purchase or license these models to improve their marketing strategies.

f. Behavioral Insights:

Cognitive models that can provide deep insights into individual or group behavior may be leveraged in fields like psychology, sociology, marketing, political science, etc. These insights could be tokenized and traded as digital assets.

g. Virtual Reality and Gaming:

Cognitive models could be used to create more realistic and engaging virtual characters in games or VR environments, leading to a more immersive experience. The development, trading, and implementation of cognitive models as digital assets will require careful consideration of privacy and ethical issues. However, if managed responsibly, these models could significantly improve the functionality and personalization of many digital services and products.

Advance Encryption Key-Maker

10. Advanced Encryption Keys

Advanced Encryption Keys, or more sophisticated versions of them that might evolve in the future, will play an integral role in our increasingly digital world. As privacy and security concerns continue to escalate, these advanced encryption keys could serve as crucial digital assets. Here’s how:

a. Secure Communication:

In the era of secure communication, owning an advanced encryption key can ensure your communication is only accessible to intended recipients. As more businesses and individuals value privacy, the demand for such keys may increase, transforming them into tradeable digital assets.

b. Digital Property Access:

As our homes and vehicles become more automated and connected, advanced encryption keys may act as the digital equivalents of physical keys. These ‘smart keys’ could be traded, sold, or leased, much like physical property.

c. Access to Premium Content and Services:

Advanced encryption keys could be used to grant access to premium digital content and services. For instance, a streaming platform could provide an encryption key as part of a premium subscription, giving users access to exclusive content.

d. Blockchain and Cryptocurrency:

As blockchain technology and cryptocurrencies evolve, so too will the need for more advanced encryption keys. These keys could become valuable digital assets, similar to how private keys are currently used to access and manage cryptocurrencies.

e. Data Protection Services:

Companies specializing in data protection may sell advanced encryption keys as part of their services. These keys could be used to encrypt sensitive data, making it unreadable to anyone without the corresponding decryption key.

f. Quantum Computing Protection:

With the advent of quantum computing, traditional encryption methods may become vulnerable. Advanced encryption keys resistant to quantum decryption could be highly valued digital assets in this scenario.

As these examples show, advanced encryption keys are poised to become vital digital assets, particularly as we continue to grapple with issues of digital privacy and security. However, the storage, management, and trade of these keys will also need to be done responsibly to avoid potential misuse.

Synthetic Planning Systems

How Existing Government Systems become Dysfunctional with the Proliferation of Digital Assets

The advent of digital assets will undeniably reshape the global economy and with it, our existing systems. This is especially true when it comes to our tax systems. Designed in an era where physical goods and property were the primary forms of wealth, traditional income tax systems will face significant hurdles in dealing with the emerging digital economy.

1. Identification and Valuation of Digital Assets:

As digital assets continue to diversify and evolve, identifying and valuing these assets for tax purposes will become increasingly complex. For example, how do you place a dollar value on a personal AI companion or an emotional AI profile? Their value may be more about personal utility rather than a universally accepted market value. The complexities intensify with assets like digital ecosystems, which may host a myriad of other digital assets within them.

2. Decentralized Nature of Digital Assets:

Many digital assets will likely exist on decentralized platforms or ecosystems. These platforms, such as blockchain-based Decentralized Autonomous Organizations (DAOs), can facilitate the creation, exchange, and ownership of digital assets without a centralized authority. This decentralization makes the regulation and tracking of transactions for tax purposes particularly challenging.

3. High-Volume, Low-Value Transactions:

The digital economy may be characterized by a high volume of low-value transactions, which are often difficult to track. For example, microtransactions for Quantum Computing Power or small payments for using Synthetic Media Rights could number in the thousands or millions for a single individual or entity.

4. Advanced Encryption and Privacy Measures:

Future digital assets, especially those protected by advanced encryption methods, could provide opportunities for tax evasion. Tracing these assets could be near impossible without the associated decryption keys, raising issues of privacy, security, and law enforcement.

5. Global Nature of Digital Assets:

Digital assets are inherently global, often residing on networks that span national boundaries. This raises significant questions about jurisdiction and the right of nations to tax transactions or ownership of these assets. In light of these challenges, it’s clear that traditional income tax systems will struggle to accommodate the rise of digital assets. To stay effective, tax policy and enforcement will need to innovate at a similar pace to the technology itself, embracing novel methods of identification, valuation, and tracking. Governments will need to collaborate on an international level to establish consistent rules and prevent tax evasion, all while ensuring they respect the rights and privacy of their citizens. This future necessitates a delicate balancing act, but one we must achieve to ensure a fair and functional economic system in the digital age.

Synthetic Planning Systems

Final Thoughts

As we move closer towards 2040, our journey through the digital revolution is just beginning. The emergence of novel digital assets – from emotional AI profiles and synthetic media rights to quantum computing power and cognitive models – marks an important milestone in the evolution of our society. These assets will not only redefine the concept of value but also transform how we interact with the digital world and each other. Despite the significant opportunities these assets offer, their rise also raises complex challenges, particularly for existing systems like income tax. Traditional mechanisms struggle to keep pace with the rapidly evolving digital landscape, leading to a potential disconnect between our technological capabilities and societal structures. However, this is not a call for apprehension but for adaptation and innovation. To harness the full potential of these unusual digital assets, we must embrace change – reimagining our laws, norms, and systems to accommodate this new reality. The task may seem daunting, but with collaboration, creativity, and a shared vision for the future, we can ensure that the digital revolution is a transformative force for good. So, as we prepare to embark on this new chapter of our digital story, let’s remember that the future is not something that happens to us—it’s something we create. And in the creation of this digital future, we have the opportunity to build a world that is not only rich in digital assets but also in human potential and prosperity.

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11 Thoughts on Designing Homes for 2040 and Beyond

Thomas Frey — Thu, 27 Jul 2023 11:45:00 +0000

11 Thoughts on Designing Homes for 2040 and Beyond

Our homes are more than just buildings; they are places where we grow, build relationships, and find comfort. As we project forward into the future, the concept of ‘home’ is set to undergo transformative changes, responding to shifting demographics, technological advancements, and our growing awareness of environmental sustainability. In the next 10 to 20 years, the architectural design of our houses will significantly evolve, reflecting our deepening understanding of health, our desire for flexibility, and our need for integration with evolving technologies.

1. AI Smart Home Integration

Future homes will be seamlessly integrated with smart technology to create living spaces that are more comfortable, efficient, and secure. This goes beyond just connecting various appliances and systems to the internet.

In these future smart homes, AI will play a central role. It will not only be about controlling lights, temperature, or security remotely, but the AI will learn from residents’ habits and preferences to automate these controls. For instance, your home might learn that you start your day at 6 am, so it will automatically adjust the thermostat, open the blinds, and start brewing your coffee at that time.

Facial recognition technology will enhance security systems to identify residents and trusted visitors and alert homeowners to unknown individuals. Similarly, integrated sensors could detect unusual activity and potentially prevent accidents – for example, alerting you if the oven has been left on for too long.

Entertainment systems will also become more integrated and personalized. Imagine your home knowing your favorite TV shows and automatically recording them or creating a perfect lighting and sound ambiance for your movie night.

The rise of IoT will also see more appliances being controlled by voice commands or through mobile apps. Everything from refrigerators to washing machines could provide status updates, alerts for problems, and even automated maintenance reminders. Additionally, smart homes will become more interactive. Augmented Reality (AR) could play a part in this, for instance, overlaying a cooking tutorial on your smart stove or displaying your day’s schedule on your bathroom mirror.

With these advancements, future smart homes will not just be about gadgetry or automation but creating an environment that’s in tune with the occupants’ lifestyle, providing comfort, convenience, and an enhanced living experience.

2. Shared Coworking Spaces in Residential Design

As we move into a more flexible and remote work era, the boundary between our work and home lives is increasingly blurred. In response, the architectural design of our homes in the next 10 to 20 years will integrate shared coworking spaces, fundamentally altering how we perceive and design residential spaces.

In future home designs, shared coworking spaces will be a common feature, particularly in communal living arrangements or large residential complexes. These spaces will provide a conducive environment for remote work, fostering collaboration and promoting a sense of community among residents. They could be designed as designated rooms or areas within the building that are fully equipped with workstations, high-speed internet, meeting rooms, and even amenities like a coffee station or a relaxation zone.

The design of these spaces will prioritize both productivity and comfort. Ergonomics will be a key consideration, with furniture designed to support good posture and minimize strain during long work periods. Natural light will be maximized to boost mood and focus, and noise control measures will be implemented to ensure a quiet, distraction-free environment.

Beyond physical design aspects, technology will play a critical role in these shared coworking spaces. Advanced tech solutions such as smart screens for video conferencing, virtual reality headsets for immersive meetings, or AI-powered noise-cancellation systems could become standard features. These tech integrations will not only support seamless remote work but also enhance collaborative experiences among the residents.

However, it’s not all about work. These shared coworking spaces will also function as social spaces, promoting interaction and community-building among residents. They might host networking events, skill-sharing workshops, or communal activities, encouraging residents to connect with each other beyond their professional roles.

As the lines between home and office continue to blur, shared coworking spaces in residential areas will support the changing dynamics of work, offering flexibility, fostering community, and promoting a healthy work-life balance. This trend will not only reshape our homes but also redefine how we interact with our living spaces in the context of work and community.

3. Virtual/Augmented Reality Spaces

As virtual and augmented reality (VR/AR) technologies continue to evolve, they will significantly influence home design in the coming years. Beyond the realm of gaming, these technologies can provide immersive experiences for entertainment, education, work, and social interaction, changing how we interact with digital content and our living spaces.

Future homes may incorporate dedicated VR/AR spaces designed to provide enough room for movement while ensuring safety. These spaces could feature open floor plans, unobstructed by furniture, with padded or soft-finish floors and walls to prevent injury. Inbuilt tracking systems could be used to interact with the virtual environment and ensure users stay within the designated area.

In the realm of interior design, AR can transform how we decorate and arrange our homes. With AR, homeowners could visualize how different furniture pieces, color schemes, or lighting conditions would look in their actual space before making a purchase or change. This would allow for more confident design decisions and personalized aesthetics.

For work and learning, VR can create immersive, distraction-free environments that improve focus and engagement. A home office or study might include a VR setup for attending virtual meetings or classes, and transporting users to a simulated boardroom or lecture hall with the push of a button.

The integration of VR/AR in homes also has potential therapeutic applications. For example, VR could be used for guided meditation or stress relief, creating peaceful, immersive environments within one’s own home.

As the hardware for VR/AR becomes more compact and wireless, incorporating these technologies into residential design will become easier. In the future, VR/AR could become as much a part of our homes as our televisions or computers are today, reshaping our living spaces into adaptable, interactive environments.

4. Robot-Friendly Design

As advancements in robotics and artificial intelligence continue to accelerate, the integration of robotic companions into our households becomes increasingly plausible. Future homes may very well be designed with the intention to accommodate these mechanical helpers, fostering their interaction with the human occupants and the house itself.

Robot-friendly design involves considering the physical characteristics and functionalities of robots. Homes might incorporate designated pathways and clear floors to facilitate robot movement. This could include wider doorways and hallways, ramped transitions between different floor levels, and open floor plans that allow for easy navigation.

Charging stations will become a standard part of home design, similar to how many homes now have dedicated spots for charging mobile devices. These could be discreetly integrated into the home design, perhaps as a part of a utility room or a corner of the living area.

Homes could also incorporate digital interfaces and control panels at a height accessible to both robots and humans, allowing robots to manipulate various home systems. For instance, a domestic robot might be tasked with adjusting the home’s thermostat or controlling the lighting based on the homeowner’s preferences.

In houses with multi-story, design consideration would be given to how robots can move between different levels. Options could range from installing robot-friendly ramps or lifts to developing robots that can safely and efficiently climb stairs.

Additionally, as robots become more adept at performing complex tasks, kitchens and utility areas might be designed with robotic functionality in mind. Adjustable countertops or modular storage units could be utilized to allow robots to cook meals or clean up, contributing to household chores.

Incorporating robot-friendly design into our homes is about optimizing for a harmonious coexistence between humans and robots. The goal is to create a living environment where robotic companions can effectively augment our daily routines, making our lives more comfortable and efficient.

5. Drone Security and Drone Delivery Systems

The advent of drone technology has not only revolutionized several industries but is also poised to impact the design and function of future homes significantly. In the next 10 to 20 years, two key features that are expected to become integrated into home design are drone security systems and drone delivery systems.

Drone Security Systems: Safety and security are primary concerns for any homeowner, and as such, drone technology presents an advanced solution to meet these needs. Future homes could incorporate drone security systems, which operate as mobile CCTV units. These autonomous drones could be programmed to patrol the property at specified intervals, equipped with night vision and motion detection capabilities to identify any unusual activity.

Furthermore, the drone can be instantly deployed in the event of a security breach, providing real-time video feed to homeowners or a security firm. This rapid response capability not only deters potential intruders but also aids in the identification and subsequent apprehension of criminals. Given their aerial advantage, these drones can also monitor hard-to-reach areas, offering a comprehensive security solution.

Drone Delivery Systems: As online shopping and home delivery services become ever more dominant, future homes will need to adapt to this trend. One solution is the integration of drone delivery systems into the design of homes.

Houses could include drone landing pads or designated drone delivery docks, often located on rooftops or balconies. These docks would be equipped with security measures such as locking mechanisms to prevent theft and could also include protective elements to shield packages from weather conditions.

On the technological front, these docks might include systems to automatically receive delivery drones guided by GPS and autonomous navigation systems. Once a drone lands, the dock can secure the package and automatically recharge its battery before it departs for the next delivery.

As our reliance on drone technology increases, it’s clear that future home designs must consider the integration of these systems. By including drone security and drone delivery systems, future homes can offer enhanced safety and convenience, meeting future homeowners’ changing needs and expectations.

6. Biophilic Design

Biophilia, a term popularized by biologist Edward O. Wilson, describes the innate human attraction to nature and living things. Biophilic design is an approach to architecture that seeks to connect building occupants more closely to nature. As awareness of the importance of mental and physical well-being increases, biophilic design principles will play a more significant role in residential architecture in the next 10 to 20 years.

Biophilic design incorporates elements of nature into the built environment, both directly and indirectly. Direct applications may involve the integration of actual nature into architecture. This could take the form of indoor gardens, green walls, water features, or the use of natural materials such as wood and stone. The sounds, smells, and tactile experiences of nature can also be incorporated to provide a multi-sensory connection.

Indirect nature engagement might include biomimetic designs, which mimic natural forms and patterns, or biophilic spatial configurations that emulate environments where humans historically thrived. Large windows, glass walls, or skylights that let in plenty of natural light are a common feature, as well as designs that facilitate views of the outdoor environment.

Access to outdoor spaces will also be a critical part of future residential design. This could include private spaces like balconies and terraces or communal green spaces in multi-residential developments. The outdoor spaces would be designed to provide meaningful contact with nature, such as planting edible gardens or native species to attract local wildlife.

Biophilic design goes beyond simply adding plants to indoor spaces. It’s about creating a living environment that embodies the essence of nature, promoting a sense of peace and well-being. The benefits of biophilic design are numerous, including improved mental health, reduced stress levels, enhanced creativity, and increased overall satisfaction with one’s living environment.

As urbanization continues and the disconnect between humans and nature grows, the need for biophilic design in our homes will only become more essential.

7. Net-Zero Energy Homes

As the world grapples with climate change, energy efficiency in residential buildings is more crucial than ever. Net-Zero Energy Homes (NZEH) represent the future of sustainable living, designed to produce as much renewable energy as they consume over the course of a year. The concept will fundamentally shape the architecture and construction industry in the next 10 to 20 years.

Net-zero homes aim to minimize energy needs through effective insulation, high-performance windows, and smart design to take advantage of natural light and heat. They may feature orientation that captures or avoids the sun’s heat depending on the climate, as well as shade features or landscaping to control temperature.

The homes will generate their own energy through renewable sources, primarily solar panels and potentially wind or geothermal energy. The implementation of energy storage systems, like advanced battery technology, will allow homeowners to store excess energy produced during peak production times for use during periods of high energy demand.

Net-zero homes will also include energy-efficient appliances and systems, along with smart home technology that allows residents to monitor and manage their energy use. These homes can feed excess energy back to the grid, effectively turning residential buildings into mini power plants.

Water conservation will also be crucial to net-zero design, incorporating features like rainwater harvesting systems, greywater reuse, or water-efficient appliances and fixtures.

Building a net-zero home involves a synergistic approach to design and construction, considering the home as an integrated system rather than a collection of separate elements. This approach, combined with advancements in renewable energy and energy-efficiency technologies, will make net-zero homes a practical and affordable option for many homeowners.

The push towards net-zero living isn’t just about reducing energy bills or even environmental impact. It represents a shift towards more sustainable, resilient communities, paving the way for a future where every home is a contributor to a cleaner and greener planet.

8. IoT Integration

As the Internet of Things (IoT) continues to expand, our homes are becoming more connected and intelligent. Future homes will not merely be places to live but dynamic entities capable of learning from and adapting to their inhabitants. The design and structure of houses 10 to 20 years from now will heavily incorporate IoT technologies to increase efficiency, comfort, and security.

In a smart home, various systems and appliances connect to the internet and can communicate with each other. This allows for centralized control through a main hub or an app. From lighting and heating to entertainment and security systems, virtually every aspect of home life can be automated and customized to individual preferences.

Artificial intelligence will play a significant role in smart homes, with learning algorithms capable of understanding the habits and patterns of occupants to optimize energy usage and enhance comfort. Your home might learn your daily routines, automatically adjusting the temperature, lighting, or music based on the time of day or your activities.

Smart homes will also incorporate more sophisticated security systems. Facial recognition software could allow for keyless entry, and remote monitoring will enable homeowners to keep an eye on their property from anywhere in the world. Smart sensors could detect anything from break-ins to water leaks, offering peace of mind and potentially saving money on repairs.

Voice-activated virtual assistants will become a standard feature, capable of everything from answering questions to controlling other IoT devices. We also see the rise of touchless technology in homes, from motion-sensor lights to voice-activated appliances, fostering ease and convenience.

Integration with electric vehicles and charging infrastructure will also be a key aspect of future home design. Homeowners could manage their vehicle charging schedule based on their daily routine or when electricity rates are lowest, all integrated into their home’s smart system.

However, with the advent of smart homes, data security and privacy will become increasingly critical. Future home design will need to consider these aspects, ensuring that all data generated and collected within the home is secure.

In the future, homes will become proactive partners in managing our daily lives, improving our comfort, safety, and well-being while optimizing resource usage and contributing to a sustainable future.

9. Virtual Reality and Augmented Reality in Design Process

Virtual Reality (VR) and Augmented Reality (AR) are set to revolutionize the design and construction of homes in the next 10 to 20 years. These technologies provide immersive, interactive experiences that allow architects, builders, and clients to visualize, modify, and interact with a home’s design before it’s built.

VR enables users to step inside a fully immersive 3D simulation of a planned house. Users can explore every room, inspect every detail, and even simulate different times of day to see how sunlight would interact with the space. This provides an unprecedented level of understanding and confidence in the design, ensuring that everyone involved is on the same page about what the finished home will look like.

With VR, design changes can be made on the fly, allowing architects and clients to experiment with different ideas and immediately see the results. This can greatly reduce the time and costs associated with changes during the actual construction process.

AR, on the other hand, overlays digital information onto the real world, allowing users to see how a design would fit into an existing environment. For example, clients could use an AR app to visualize how a proposed addition would look on their existing house or how a new home would fit onto a particular piece of land.

AR can also be used during the construction process to guide builders. For example, workers could use AR glasses to overlay construction plans onto their field of view, showing exactly where each component should go and reducing the risk of errors.

In addition, these technologies could change the way we think about space in our homes. With VR, a small room could be transformed into an expansive virtual environment, providing a sense of spaciousness without the need for a large physical footprint. This could become increasingly important as urbanization leads to smaller living spaces.

Both VR and AR offer incredible possibilities for the future of home design, providing a more collaborative, flexible, and efficient design process. The result will be homes that better meet the needs and desires of their inhabitants, leading to greater satisfaction and comfort.

10. Health-Focused Design

As health and wellness become ever more important facets of our daily lives, the architecture and design of our homes will follow suit. Future homes will be built with the intention of promoting physical and mental well-being, making health-focused design a significant trend in the next 10 to 20 years.

Indoor air quality will be a major focus. Features such as advanced air filtration systems, humidity control, and the use of non-toxic, hypoallergenic materials will become standard to combat pollutants and allergens. In addition, the use of plants and green spaces within homes will not only enhance aesthetic appeal but also improve air quality and create a calming atmosphere.

Lighting will also play a crucial role in health-focused design. Homes will be designed to maximize natural light, which has been shown to boost mood and productivity, regulate circadian rhythms, and even improve sleep. For times when natural light is limited, adjustable, human-centric artificial lighting that can mimic the color temperature and intensity of natural light will be used.

Home layouts will also be designed to promote physical activity. This could mean the incorporation of dedicated exercise spaces, or it could be as simple as designing homes that encourage movement, such as placing frequently used rooms far apart.

The acoustic environment of homes will also be considered. Soundproofing to reduce noise pollution, including calming natural sounds and using materials that minimize echo, can contribute to a more peaceful and stress-free living environment.

Technological advancements will also support health-focused design. Health monitoring devices will be integrated into the smart home systems, tracking parameters like heart rate, sleep quality, and physical activity and offering insights and recommendations to improve the inhabitants’ health.

Homes will also include spaces designed for mental wellness, such as quiet areas for meditation or relaxation, spaces with immersive nature views, or areas dedicated to hobbies or creative activities.

In the future, homes will serve not just as living spaces but as supportive environments that actively contribute to the health and well-being of their inhabitants. The result will be homes that are not just places to live but places that help us live better.

11. Multigenerational and Adaptable Living Spaces

As lifespans increase and family dynamics evolve, the need for homes to accommodate multiple generations under one roof is becoming increasingly important. Homes in the next 10 to 20 years will be designed with flexibility and adaptability at their core, allowing them to adjust to the changing needs of their inhabitants over time.

Multigenerational homes will include each generation’s private spaces and communal areas where the family can gather. These homes may feature separate living quarters for elderly parents or adult children, with features such as ground-level living for those who can’t navigate stairs or soundproofing to ensure privacy.

Adaptable design will be a key feature of these homes, allowing rooms to serve multiple purposes over time. For instance, a home office could be converted into a nursery, then later into a guest room. Wall partitions might be movable to change the layout of the house quickly or to create additional rooms when needed.

Technological advancements will also facilitate the creation of adaptable living spaces. Smart home systems could adjust lighting, temperature, and even furniture arrangements based on who is using a room. Homes might feature adjustable-height counters and sinks or walls embedded with tech that can transform a living room into a home theater at the touch of a button.

The design of these homes will also consider accessibility and safety features to accommodate older family members, such as wider doorways for wheelchair access, non-slip flooring, grab bars in bathrooms, and smart health monitoring systems.

Sustainability will also be a key consideration in multigenerational homes. As these homes will be designed to last and adapt for many years, they will need to be energy-efficient and built with durable, sustainable materials.

Multigenerational and adaptable homes offer a practical and flexible solution to the changing demographics and lifestyles of modern families. By allowing families to remain together, they can foster stronger familial bonds, use space better, and potentially provide economic benefits by sharing costs.

Final Thoughts

Anticipating the future, it’s evident that the home of the future is more than just a space for living. It becomes a health promoter, an adaptable entity, an energy producer, and a technological marvel. These predictions of transformative changes to home design are rooted in the present but geared towards a future that promises exciting opportunities. It’s a future that suggests a fundamental shift from a static dwelling to a dynamic, responsive environment, catering to our needs, supporting our health, and augmenting our lifestyles. As we move towards this future, we are shaping homes that aren’t just designed for living but for living better.

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On the Road to Greener Concrete

Thomas Frey — Thu, 15 Dec 2022 12:45:00 +0000

On the Road to Greener Concrete

It’s rare that the opportunity to preserve resources, recycle resources, enhance quality, and improve cost efficiency all come together to deliver an important, improved product that the world uses in abundance every day.

We live on a finite planet with a finite atmosphere, and we have a finite quantity of resources at our disposal. At certain points in history, our human capabilities scale past the point of reason, where our busy work begins to take an excessive toll on planet Earth.

That’s exactly what’s happening in the concrete industry. But there’s a very good story is percolating to the top of the construction world.

Traditional concrete, the building material made from a geopolymer known as Portland cement, isn’t glamorous. It’s not high-tech. It’s not taking us to space. It’s not forming the metaverse – it’s quite the opposite of the metaverse, in fact! Instead, concrete is literally providing the foundation for our real world and for virtually every finished, hardened structure we need to build – our roads, buildings, bridges, and more.

Contrary to popular belief, Portland cement doesn’t owe its name to the beautiful port city in Oregon. Two hundred years ago, the inventor of an earlier version of the material named it after Portland stone, a similar-looking product that was quarried on the Isle of Portland in England.

Today’s concrete has evolved over the years to include lime/clay cement combined with aggregates like clay, shale, sand, iron ore, bauxite, fly ash, and/or slag. Concrete, in the end, is essential that Portland aggregate cement product + water + sand + gravel … all natural resources.

As of 2021, 4.4 billion tons of concrete were produced worldwide, and that number is projected to increase by 25% by 2050.

Researchers are perfecting a variety of eco-friendly, green concrete alternatives made from unique combinations of geopolymer cement components. What makes the resulting concrete “green” compared to traditional concrete products is the fact that each, to one degree or another in the manufacturing process:

1. Uses recyclable material
2. Utilizes a less energy-intensive manufacturing process
3. Generates a lower amount of carbon dioxide (CO2) and wastewater

In addition to those benefits, many varieties of green concrete are proving to be more durable, stronger, and less expensive. They can also be set up quicker with less shrinkage.

All of these are positive attributes, so what’s not to love?

A Better Recipe of Raw Materials

Natural sand is a critical material used in traditional concrete. Natural sand, though, is a limited resource, and it’s also used in the fracking process. This material is mined from open pits, inland dunes, river beds, and other geologically fragile environments. There’s a similar story with gravel, which is another aggregate and another critical component of Portland cement-based concrete.

In contrast, many varieties of geopolymers that make up green concrete use natural fibers and industrial waste products like waste glass sand, fly ash from coal-fired power plants, and blast furnace slag, a by-product of iron and steel production.

Additional research is being done on integrating aggregate from demolition waste and other recycled concrete, forming a closed loop for this important construction material.

A Better Use of Our Energy Resources

At the risk of getting into the weeds and dredging up more detail than you ever wanted to know, green concrete also reduces energy consumption.

First of all, sand mining is very energy-intensive, and any reduction in that activity is a big step in the right direction. Second, the heating process for making traditional Portland cement requires massive amounts of energy. But formulating green cement with fly ash, for example, reduces that significantly.

Reducing Greenhouse Gases

Due to its chemical processes, Portland cement manufacturing accounts for 7% of the global release of CO2, according to the International Energy Agency. If the concrete industry were a country, it would be the third-largest CO2 emitter, right behind the U.S. and China.

Alternatively, green geopolymer cement production can reduce this by 90%. That’s pretty stark, not to mention compelling.

Making A Better Cement Product

As a result, these new green processes and formulations are not only making concrete in a better way, they’re making concrete better.

Using natural fibers like hemp or bamboo for reinforcement instead of synthetic or steel fibers is not only cheaper but also adds tensile strength and reduces corrosion.
Lead slag is proving to be an ideal additive to green concrete to reduce drying shrinkage.
Green concrete containing waste glass sand (as opposed to natural sand) has been shown to be stronger and less porous than other varieties.
Finally, thanks to many of the features mentioned above, green concrete promises to be less expensive than traditional Portland cement-based concrete.

The next step for this technology is to incorporate it into 3D-printed buildings and other structures, reducing waste during construction. It’s too early to say if construction will ever be considered a “green industry,” but it’s definitely taking major steps in that direction.

Focusing on the Positive

This is one of the best good-news stories I’ve had a chance to talk about in a long time. Futurists tend to spend a lot of time exploring new frontiers and breakthrough industries and less time exploring the implications of advances in current practices that can be just as or even more impactful in the long run.

And too many observers and pundits tend to focus on the seemingly insurmountable challenges all around us instead of rolling up their sleeves and picking away at today’s problems.

The emergence of green concrete demonstrates that doing the right thing from a sustainability perspective doesn’t mean we have to compromise the quality of life or, in this case, the quality of building.

We need more of these kinds of breakthroughs and more researchers working in big areas like this to help ensure our world is on the best possible trajectory into the future.

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America’s Rapidly Escalating Bathroom Crisis

Thomas Frey — Thu, 15 Sep 2022 11:45:00 +0000

America’s Rapidly Escalating Bathroom Crisis

Over the past few years, I’ve spent countless hours driving through dozens of states on the east coast, west coast, southern states, and the Midwest. And none of these states have done a good job addressing the escalating need for more public bathrooms. Some states are cutting back on their rest stop locations due to budget cuts.

In their place, gas stations, convenience stores, truck stops, fast food establishments, and coffee shops seem to pay little attention to a person’s non-consumptive needs. It’s not uncommon to stop at three or four places before finding a restroom that’s not “out of order.” Cleanliness is another matter, but most people would settle for something functional.

I never really paid much attention to issues of this type before, but the challenges seniors face are now hitting much closer to home!

And it also got me thinking about all the locations and circumstances where the lack of public bathrooms is a very real issue and how that might be resolved in the future.

Restrooms – A Public Good … and Right

Access to restrooms in a number of settings, not just along our major roads and interstates, is seen today as a basic human right and a public necessity, just like access to food, water, and shelter.

The issue is larger and even more timely in urban areas. That fact quickly became apparent during the pandemic, when many private dining facilities, including the coffee shops and fast-food restaurants that we all considered “public” with a wink and a nod, suddenly were closed to walk-in traffic.

And moving forward, many of those same, now re-opened establishments, including Starbucks, will no longer open their restrooms to the general public, including homeless people for whom those restrooms are not just a convenience but a necessity.
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Cities are Stepping Up

Providing restrooms for the public will once again be firmly in the province of public officials and the budgeting process. In the future, many localities and states will pass legislation expanding access to public restrooms, whether in public buildings and parks or in the form of standalone facilities or even futuristic versions of what we all know now as “porta-potties.”

A bill is pending in New York City to require the establishment of at least one new public restroom in each of the approximately 200 zip codes in that city. Portland was a pioneer in this area with its solar-powered, minimalist, easy-to-clean “Portland Loo,” a concept implemented in many other jurisdictions.

And what about reverting back to pay toilets? Creating a modest financial cost to help pay for upkeep and to help keep mischief makers from abusing a good thing seemed like a reasonable idea 50 years ago. But society ultimately pushed back on the idea of making people pay to access this public good – equating it to making someone pay to use a public drinking fountain.

A Matter of Public Benefit

For most Americans, access to restrooms in their hometown is not an issue. If they’re out and about, they know about “friendly” retail establishments they can pop into. Most people have the resources to purchase a bottle of water, a small coffee, or a fountain drink at private establishments to “buy” the right to use their bathroom … and avoid dirty looks from employees and patrons.

But even if the average person might be reluctant to see the need for public funding for restrooms, they should know that the alternative for too many people is public urination or defecation. That opens the door to a world of public health threats, including hepatitis A.

An analysis by the World Bank showed that the cost-benefit ratio of providing basic sanitation services in the urban areas of developed countries was 3.5. Yes, a $1.00 public expenditure on this infrastructure yielded $3.50 worth of public good in terms of reduced medical costs and increased productivity.

The Ick Factor

Admittedly, the first thought of most people who have experienced deplorable restrooms in public and other shared settings is how a city like New York will ensure each public restroom remains clean and functional.

One option is to have them serviced by city employees, but that can be expensive, and the facilities might effectively be out of reasonable commission for hours or days at a time as these unfortunate workers make their rounds.

Instead, in New York City and elsewhere, we’ll soon have city-wide access to self-cleaning public toilet booths or pods, a technology already being utilized in certain cities, especially in Europe.

Self-Cleaning Bathroom Booths

In contrast to the Portland Loo public restroom model, there are many ingenious, self-contained, self-cleaning bathroom pod designs with automated systems that clean and sanitize the space and the fixtures between each use.

New York City tried this approach for a handful of pay toilets more than a decade ago. The program at the time called for 20 of these self-cleaning toilet pods with a user fee of 25 cents per visit. Only 5 of the pods were ultimately installed, but all of them reportedly are still in use today.

The often unstated but widely shared concern regarding truly public restroom facilities is that they can be the site of criminal and nefarious activity – assaults, vandalism, drug use/commerce, and sexual encounters, for example. But many of the new designs, and even the previous generation, non-automated Portland Loo model, make this less likely than is commonly thought.

Yes, public automated toilet pods are in our future, whether in the heart of the city or off the interstate in the heartland of our country.

With some models under consideration, the floor may be wet after each cleaning, but users can be assured that the wetness is only due to disinfection!

Local Solutions First

As I’ve said in the past, the number of governmental bodies in the U.S. is reaching a staggering number – 90,000. During normal economic times, there is plenty of money to go around, but now every city, state, county, parish, township, and special taxing district is competing for the same tax dollars, and issues like a rapidly escalating bathroom crisis are simply not receiving the attention it deserves.

As you might have guessed, it will be up to us to solve the problem locally before anything happens on a larger scale. So please feel free to voice your opinion. Your future bladder needs will thank you later.

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