How AI Will "Feel" in 2 Years

By Peter Diamandis:

1. YOU WILL GIVE YOUR AI ACCESS TO EVERYTHING IN YOUR LIFE… I MEAN EVERYTHING

For 15 years, I’ve been talking about the day every human gets their own version of JARVIS: the AI from Iron Man that knows everything about Tony Stark and orchestrates his life in real time.

Inside of the next two years you’ll give your personal AI (your own JARVIS) access to ALL your data, all your interactions and your desires. The benefits from this level of disclosure will be so great that privacy concerns will dissolve… because the value is simply too enormous to refuse.

This week I massively upgraded Skippy’s capability and utility (Skippy is my OpenClaw agent). Powered by Opus 4.6 on two Mac Studios, sitting on top of Kimi K2.5. Connected Skippy to EVERYTHING possible… iMessage, WhatsApp, Google Drive, Calendar, email, Granola… and all of my files set up within an Andrej Kaparthy-style second-brain. The increase in “Feeling AGI” was palpable… and it’s only going to accelerate, which is the purpose of today’s newsletter.

Here’s the list of what your AI will consume…

· Listen to every phone conversation you have.

· Access to all your emails, every text, all meeting notes.

· Visual/auditory data feeds from your smart glasses.

· Every camera inside your home and every sensor on your body: continuously being monitored.

· Every calendar entry and every preference.

· Your financial transactions, investment portfolios, and spending patterns.

· Your genome, your blood work, your sleep architecture: every biological signal.

When your AI has all of this data and context, it stops being a chatbot and starts being a chief of staff.

Imagine this: You finish breakfast with your family and head towards the front door. Your AI knows your schedule and has already seen you moving toward the exit. Before you step outside, a Cybercab is already waiting in your driveway.

But here’s where it goes from convenient to auto-magical: your AI cross-referenced your Oura ring sleep data and knows you slept poorly, so it summoned a Cybercab configured with a reclined seat for a restorative nap on your commute.

You never asked for it. You never even thought about it. The world simply conformed itself to you. That’s the shift.

AI stops being a tool you reach for and becomes an invisible layer that anticipates you: making decisions on your behalf that you didn’t even know needed to be made.

Here’s another one: You’re preparing for a board meeting tomorrow. Your AI has already read every document in the shared drive, summarized the three contentious items, drafted your talking points based on your stated positions, and pre-scheduled a 10-minute call with your CFO because it detected a discrepancy in the Q2 numbers that you’ll want resolved before the meeting. You wake up and it’s all waiting in your briefing. No prompt. No request. Just done.

The shift isn’t from an “okay AI” to a “better AI.”. It’s from AI you talk to, to AI that acts on your behalf, before you even think to ask.

So, what does this mean? The winners of the next decade won’t be the apps with the best UIs. They’ll be the agents with the most trusted access to your data. The smartphone era rewarded app design. The agent era rewards context depth – and trust.

2. YOUR ENVIRONMENT STARTS ADAPTING TO YOU

Right now, you walk into a room and tweak it to your needs: adjusting the thermostat, the music, the lighting. In the very near future, your environment will magically adjust itself to your desires.

Sensors in your home, combined with continuous biometric feeds from your wearables, mean your home and workplace knows what you need before you do.

• Music shifts based on whether your heart rate variability says you’re stressed or flowing.

• Temperature nudges based on your metabolism.

• Lighting moves from cool blue in the morning to warm amber two hours before your biological bedtime.

Did you have a stressful day? Your AI starts playing your favorite comedian on the TV as you walk through the door.

Your bedroom detects you’re approaching sleep, dims every screen in the house,

locks the doors, and shifts your phone to “Do Not Disturb,” all as you brush your

teeth.

And then there’s food, which may be the most underestimated transformation of the next 3-4 years.

Today we snack, we eat what we like. But what about a future in which your AI partners with your kitchen robot to feed you exactly what your body needs?

Your future meals are not based on a whim. They’re optimized specifically for your physiology, in that moment: your taste profile, your current blood chemistry (hydration, protein levels, vitamin levels) and balancing any nutrient deficit.

Your AI knows you have an upcoming workout, and adds extra protein and creatine to your lunch, again automagically.

No menu. No guessing. No asking. The meal shows up dialed in to the biochemistry of the person eating it.

Your home becomes a biological dashboard. Your environment becomes a real-time response to your body’s needs. A living space that literally keeps you healthier.

3. AUGMENTED REALITY CHANGES EVERYTHING

This is one element of what’s coming that most people underestimate.

Smart glasses (from Meta, Apple, and a wave of startups) are about to make augmented reality feel the way smartphones felt in 2010: inevitable. And once the display layer is live, everything about how you move through your day changes.

Travel: Interested in the history of a city while on vacation? Walk down the streets of Rome and your AI overlays historical imagery on every building you pass. The Forum reassembles itself in your field of view. The name and story of the artist whose sculpture you just walked past hovers in mid-air. The language on the menu in front of you translates before you blink.

Shopping: Shopping collapses in on itself, going from slow and frustrating to fast and fun. Imagine the following… You’ve been invited to a friend’s June wedding in Long Island, New York. Your AI knows the current fashions, the temperature that day and your budget. Without prompting, your version of JARVIS spins up a runway fashion show before your eyes. A dozen avatars of you, wearing different outfits, parade before your eyes. You pick one. It ships. Of course, it fits perfectly because your AI maintains a continuously updated 3D model of your body.

Education: Education transforms just as radically. Your child looks at a math problem through their glasses, and their AI tutor doesn’t just solve it… it identifies the specific concept they’re stuck on, generates a visual explanation calibrated to their learning style, and connects it to something they care about. A kid who loves basketball suddenly understands parabolic arcs. A child fascinated by Minecraft intuitively grasps geometry. Every child gets a world-class private tutor, 24/7, for free.

So, what does this all mean? Historical overlays everywhere you walk. Menus, signs, labels translated in real time. Commerce that happens without any interruption pattern: no ads, no pop-ups, no friction.

The “attention economy”—the entire scaffolding of advertising, interruption, and persuasion that funds today’s internet—starts to collapse. The new economy is built around agents making purchases on your behalf, not ads nudging you toward them.

4. AI GETS PHYSICAL: ON YOUR STREET, IN YOUR HOME

For the last few years, AI has been mostly a digital experience on your phone or computer screen. By 2028, AI will be walking out of the digital realm and into your driveway, your kitchen, and your workplace.

Autonomous vehicles go mainstream

At least five autonomous vehicle companies are already operating or actively testing on the streets of major U.S. cities. Waymo is already serving millions of rides. Tesla’s Cybercab is rolling out. Zoox (by Amazon), Volkswagen’s autonomous ID. Buzz (partnered with Uber), and Uber/Nvidia’s L4 platform expanding to 28 cities by 2028 are right behind them.

The generation of humans who will never need a driver’s license is already in elementary and middle school.

Humanoid robots move in

This is one that still sounds like science fiction, but it won’t for much longer. Figure, Tesla’s Optimus, 1X’s Neo, Unitree, Apptronik. These companies are shipping. And unit economics are collapsing.

The first humanoid robots are already working in warehouses, factories, and pilot homes: unmodified, no special infrastructure required.

You’ve heard me speak about Optimum (Tesla), Figure and Neo (1X) extensively, but there are many more. Recently, Apptronik just raised $520M at a $5B+ valuation with Google DeepMind as a backer.

In China, Unitree has taken the lead position. The company has filed for a Shanghai IPO, seeking to raise about ~$610 million to fund AI model development, new robot platforms, and manufacturing expansion. The Hangzhou-based humanoid/quadruped robot maker posted a 674% jump in adjusted net profit to $90M in 2025, becoming the world’s top humanoid robot seller.

Within 36 months, a humanoid robot in your kitchen will feel as normal as a smartphone on your counter.

The “AI hype” narrative ends the moment the robot cleans your kitchen while the Cybercab waits in the driveway. We’re 18 to 24 months from that exact picture.

5. YOUR HEALTH BECOMES A 24/7 AI-COACHED OPERATION

The annual physical is already obsolete. It’s just that most of the healthcare system hasn’t caught up yet.

Right now, the average biohacker is carrying three to four continuous health data streams: an Oura ring or Whoop, an Apple Watch on the wrist and a continuous glucose monitor on their arm. That’s over 100 biometrics a day, every day, feeding into an AI that can see patterns no human clinician ever could.

What this enables, in the next 24 months, is a shift from reactive healthcare (”I feel bad, I go to the doctor, they run tests”) to continuous optimization: “my AI notices something drifting and nudges me before I ever feel it.”

• You just sat on a Zoom call for 90 minutes. Your AI pings you: “Do 20 squats your glucose is trending up and movement now saves you a spike.”

• You’re about to take the elevator. Your AI suggests the stairs because your Zone 2 minutes are low this week.

• Your hydration score is drifting. Your AI tells you to drink 16oz before your 2pm meeting because it already knows how you present when dehydrated.

• Your AI detects a subtle shift in your heart rate variability pattern over the past 72 hours, cross-references it with your recent travel and sleep data, and recommends you take a specific anti-inflammatory supplement and schedule a blood draw — three weeks before you would have noticed anything was off.

• You’re about to order your third coffee. Your AI gently intervenes: “Your cortisol is already elevated from this morning’s meeting. Switch to green tea, you’ll actually focus better.”

This is not a wellness app. It’s a preventive medicine engine operating on you, continuously, forever.

In 10 years, we won’t go to the doctor when we feel sick. We’ll be continuously optimized, and the rare visit will be for something AI flagged before we knew it existed.

THE BROADER PICTURE

Here’s the meta-pattern underneath all five of these shifts:

Today, AI is an app. Something you open. Something you prompt. Something you use.

In the next 2 to 3 years, AI becomes a ubiquitous, always on, always enabling. Something that surrounds you. Something that acts on your behalf. Something you stop noticing… the same way you stopped noticing electricity in the walls of your home.

And that’s the real signal. Transformative technologies eventually disappear into the background of life. The telephone was miraculous in 1900 and invisible by 1950. The internet was astonishing in 1995 and ambient by 2010. AI will follow the same arc, but compressed into a fraction of the time.

Here’s the question for you: are you positioning yourself to thrive in this new era, or scrambling to catch up?

Are you going AI-first in every part of your life? Are you connecting your data so your agents can actually serve you? Are you experimenting with the tools that will feel primitive in 18 months but will look like genius in hindsight for being early?

The next 24 months are going to feel, to anyone paying attention, like the single largest shift in the daily experience of being alive since the smartphone. Position yourself accordingly.

To an Abundant (and AWESOME) future,

Peter

Proof of Abundance… And How to Survive It

By Peter Diamandis:

1. Renewables Hit the Halfway Mark

Renewables just crossed 49.4% of global electricity capacity. Let me say that again: nearly half of all electricity generation capacity on Earth is now renewable. Solar drove 75% of new additions, bringing the total to 5.15 terawatts. We’re at the halfway mark and the curve is accelerating. This isn’t some future projection. This is today. The energy transition is already here.

2. Lithium Battery Prices:

In 1991, a lithium battery cost $10,000. And today? Less than $100. That’s a 99% price drop. Remember all those conversations about whether we could afford enough batteries to electrify transportation? Those are ancient history. The market solved it. Scale solved it. Technology solved it. And we’re not done: new battery chemistries are coming that will drive costs even lower. Every electric vehicle on the road is proof that Abundance doesn’t require central planning. It requires innovation and competition.

3. Lab-Grown Diamonds Below $1,000

The average price of a two-carat lab-grown diamond has fallen below $1,000: down 80% since January 2020. Compare that to a natural diamond at $22,000 to $28,000 for the same size. So much for De Beers. And yes, De Beers’ 3-months-salary campaign was one of the most successful PR brain-washings in history. They convinced generations that scarcity equals value. But technology doesn’t care about marketing. Lab-grown diamonds are chemically identical, optically perfect, and produced without child labor. Abundance wins.

4. AI Created 640,000 New Jobs

AI created 640,000 new jobs in the United States between 2023 and 2025, mostly in categories that didn’t exist three years ago. Not replacing jobs. Creating jobs. This is the pattern we’ve seen with every major technology transition: short-term disruption, long-term expansion. The printing press, the steam engine, electricity, the internet – all of them were supposed to end work. All of them created more opportunity than they destroyed. AI is no different. The question isn’t whether jobs will exist. It’s whether you’re building skills for the new categories or clinging to the old ones.

5. Robots + AI = Energy Abundance / The Maximo Robot

I LOVE this story… four Maximo robots are installing 100 megawatts of solar capacity in the California desert at one panel per minute. Think about that for a second. Robots deploying renewable energy autonomously, at scale, faster than humans ever could. Once you get robots, energy, and AI all reinforcing one another, Abundance stops being theoretical. It becomes mechanical. Inevitable.

And this isn’t just a Western phenomenon. Pakistan is now generating most of its energy via solar. Solar is exploding across Africa. This is global. This is real. This is happening whether you’re paying attention or not.

The Pattern

Abundance is a pattern across multiple domains: Materials. Manufacturing. Employment. Computation. Every one of them follows the same trajectory: exponential improvement, collapsing costs, expanding access. That’s not coincidence. That’s the signature of our exponential times, the signature of increasing Abundance.

But here’s perhaps the most important question:

How does society design institutions that distribute this Abundance in a reasonable way?

Technology creates Abundance. Institutions decide who captures it. Markets, governments, legal frameworks: those are the systems that determine whether Abundance pools at the top or spreads broadly. We have the technology.

Do we have the wisdom to build institutions that match it?

The Choice

Abundance isn’t coming. It’s in the data, right now. Renewables at 50% capacity. Batteries down 99%. Diamonds at $1,000. AI creating jobs. Robots building infrastructure.

The only question is whether you see it or whether you’re still watching the Crisis News Network.

I choose to see it. I choose to build for it. I choose to believe that we’re living through the most extraordinary moment in human history – not in spite of the challenges, but because of them.

This is what breakthroughs look like. This is what the future arriving ahead of schedule looks like. And if you’re paying attention, you can see it everywhere.

- Peter

Scientists Reverse Brain Aging With Simple Nasal Spray

https://scitechdaily.com/scientists-reverse-brain-aging-with-simple-nasal-spray/

Alzheimer’s Breakthrough: Scientists Discover Key Protein May Prevent Toxic Protein Clumps in the Brain

https://scitechdaily.com/alzheimers-breakthrough-scientists-discover-key-protein-may-prevent-toxic-protein-clumps-in-the-brain/

AI Could Detect Early Signs of Alzheimer’s in Under a Minute – Far Before Traditional Tests

https://scitechdaily.com/ai-could-detect-early-signs-of-alzheimers-in-under-a-minute-far-before-traditional-tests/

MIT Mined Bacteria for the Next CRISPR—and Found Hundreds of Potential New Tools

https://singularityhub.com/2026/04/07/mit-mined-bacteria-for-the-next-crispr-and-found-hundreds-of-potential-new-tools/

This Breakthrough Solar Panel Generates Power From Both Sunlight and Raindrops

We could use this in Germany.

https://scitechdaily.com/this-breakthrough-solar-panel-generates-power-from-both-sunlight-and-raindrops/

DNA Meets Electronics: Scientists Create Ultra-Low Power Memory Breakthrough

https://scitechdaily.com/dna-meets-electronics-scientists-create-ultra-low-power-memory-breakthrough/

Longevity Isn’t Equal: Why Life-Extending Treatments May Be a “Biological Lottery”

Well that’s a bummer:

https://scitechdaily.com/longevity-isnt-equal-why-life-extending-treatments-may-be-a-biological-lottery/

This Home Flywheel Makes Storing Solar 90% Cheaper — And It Works Forever!

Sounds like a great idea.

https://www.youtube.com/watch?v=c2sQdyTOSa4

Forget Antibiotics: These Killer Cells Wipe Out Deadly Superbugs in a Day

https://singularityhub.com/2026/03/30/forget-antibiotics-these-killer-cells-are-programmed-to-wipe-out-deadly-superbugs-in-a-day/

A Simple Nose Swab Could Detect Alzheimer’s Years Before Symptoms Appear

Snot true?

https://scitechdaily.com/a-simple-nose-swab-could-detect-alzheimers-years-before-symptoms-appear/

Breakthrough Alzheimer’s Drug Rewires the Brain Instead of Just Clearing Plaques

https://scitechdaily.com/breakthrough-alzheimers-drug-rewires-the-brain-instead-of-just-clearing-plaques/

Scientists Identify Biological Pathway That Could Reverse Memory Loss

https://scitechdaily.com/scientists-identify-biological-pathway-that-could-reverse-memory-loss/

12 AI Scenarios From Hopeful to Horrifying

Scary and exciting at the same time.

https://youtu.be/FLcrvMfHUJM?is=CcEBpHRe3x-deMFF

From UBI to UHI (In 3 Steps)

Long, but we do have to rethink how people will earn money in a world where every job is taken over by AI:

——

Present day economics depends on a key premise: that labor markets self-correct after technological disruption. Steam displaced farmers. Electricity displaced the steam worker. The computer displaced the typist. Every time, new jobs emerged and flourished, and the world (and employees) ended up better than before. Economists built careers on this pattern. Policymakers bet civilizations on it.

That assumption is now breaking.

Prior disruptions were sectoral. AI is not. Large language models, multimodal reasoning systems, and humanoid robots are not displacing one type of work — they are displacing all types of work, and the economic value of human time itself, across every sector, simultaneously.

There is no adjacent labor category to retrain into. The escalator that carried workers from disrupted industries to new ones for two centuries has no destination… it is crumbling.

The closest historical precedent for government-managed mass transition is the GI Bill of 1944, which successfully reintegrated 16 million returning soldiers into the civilian economy through education subsidies, low-interest home loans, and direct income support. Unemployment among veterans peaked at 3%, remarkably low. But that transition had a crucial advantage: the displaced workers had a destination. They retrained for real jobs in a postwar manufacturing boom that absorbed them. Today’s AI displacement has no comparable absorptive sector. The GI Bill worked because it was a bridge to something. The UBI framework must work even when there is no bridge, when the income support is not transitional but structural.

What follows is my vision of what comes next. It has three phases. My argument is not that disruption can be avoided. It is that the transition can be navigated, if the right mechanisms are built in the right sequence.

~40% of U.S. jobs at high risk of AI displacement within 10 years — Goldman Sachs

10 years to unfold what the agricultural transition took 150 years to accomplish

The check doesn’t get bigger. The world gets cheaper. That is when UBI becomes UHI.

PHASE-1: THE FRACTURE & THE FLOOR (2025 – 2028)

Displacement does not arrive as a statistic. It arrives as a young man who studied for four years and cannot find work. It arrives as a 45-year-old logistics manager whose position was eliminated when the warehouse automated. It arrives as a generation unable to afford a family and a household, build wealth, or participate in the social contract their parents took for granted.

The economic literature on prolonged unemployment is unambiguous: it does not merely reduce income. It destroys identity, erodes mental health, and generates political radicalization. A generation without economic footing is a generation without a stake in the stability of the system.

Governments facing mass unemployment reach for multiple tools: public works, retraining programs, trade protections. In a prior era, these worked because displacement was sectoral and adjacent categories existed. In an AI-displacement scenario, they delay but do not solve. You cannot retrain a workforce for jobs that AI will also perform within the retraining window. You cannot protect against automation with tariffs when the automation is domestic.

The one tool that scales immediately—that requires no retraining, no new bureaucracy, no five-year implementation cycle—is money. The U.S. demonstrated during COVID that direct cash transfers to every household can be deployed within weeks. The mechanism exists. The precedent exists. The political will follows directly from the severity of the alternative.

What changes in this circumstance is not the tool but the scale. COVID transfers of $1,200 were stabilizers. What AI displacement requires is replacement income. That number is not $1,000 per month. It is $3,000 per month, $36,000 per year. Approximately 2.4 times the federal poverty line. Enough for genuine stability, not merely survival. The empirical anchor: a no-frills but genuinely stable life in median America—rent, food, transport, healthcare, utilities—costs between $2,800 and $3,200 per month today, based on MIT’s Living Wage Calculator and Bureau of Labor Statistics Consumer Expenditure Survey data. This figure represents the national median; costs vary significantly by state, from roughly $2,200 in lower-cost rural areas to over $4,000 in high-cost urban centers like San Francisco or New York. $3,000 lands in the middle of the national median range, though a geographically tiered UBI structure may ultimately be necessary to account for regional cost disparities.

$36,000 per year is not a utopian number. It is what a stable life actually costs in median America. It is the floor below which desperation begins, and desperation is a cognitive condition, not just an economic one.

Running alongside UBI as a strategy might be a shortened work week. Iceland, the UK, Microsoft’s division in Japan, and dozens of others have demonstrated that moving to 32 hours at full pay holds or improves productivity in the majority of cases. While the pay is not reduced, the hours are. This is a critical distinction: a pay cut would accelerate worker detachment from employment, defeating the purpose entirely.

In a displacement context, the shortened work week at unchanged compensation serves one specific purpose: it keeps more workers attached to employment—and the identity, structure, and meaning that employment provides—during the transition window.

By distributing available work hours across more people at full wages, it extends the period before workers lose not just income but the social scaffold that employment provides. It is not a solution. It is a bridge.

PHASE-2: THE AUTOMATION DIVIDEND (2028 – 2031)

Here is the paradox that makes Phase-2 both inevitable and interesting. Historically, when governments lowered interest rates that would stimulate employment: employers would borrow money and hire more people. Today however, when given access to cheaper capital, businesses instead engage more AI and purchase robotics. Ultimately, they automate more aggressively. Cheap capital makes robots and agents more attractive, not less. Monetary stimulus designed to create jobs instead accelerates the automation that eliminates them.

One approach to address the trend of companies “hiring” AIs and robots rather than human labor has been the concept of an “AI and robot tax”: tax the technology, redistribute the proceeds. Frame it as punishment for automation and you have declared war on the most powerful industry in America, one with demonstrated ability to reshape regulatory environments before they are implemented.

Reframe it as an Automation Dividend, and the politics change entirely.

The Automation Dividend is not a penalty. It is profit-sharing. Companies deploying AI agents and robotic systems are extracting value from a national infrastructure—an educated workforce, publicly-funded research, physical and digital systems built with public dollars—that was created by all Americans. The Dividend is the public’s share of the productivity gains from that deployment.

The honest numbers matter here. A national UBI at $3,000 per month for 250 million American adults costs approximately $9 trillion per year. But that is the wrong number, and framing it that way is the fastest way to lose the argument before it starts.

We don’t need to provide UBI to all 250 million Americans. We need to provide it to the 50 to 80 million who cannot survive the transition without it.

Who are they? The logistics managers, the paralegals, the customer service workers, the junior analysts: the broad middle of the American workforce that believed the social contract still applied to them. The 31 million households already spending over 95% of their income on necessities today, before AI displacement has even arrived at scale. The 57% of Americans living paycheck to paycheck, one missed payment from a crisis. These are not the owners of capital or the holders of equity – those Americans will be fine, better than fine, as AI productivity flows to them first and fastest. This UBI is not for them. It is for the Americans who built this country’s middle class with their labor and now find that labor has been automated away.

The math: at $3,000 per month, supporting 50 to 80 million people costs roughly $2 to $3 trillion. Significant, but not without precedent. The U.S. already spends $1.5 trillion on Social Security, $900 billion on Medicare and Medicaid, and hundreds of billions more on means-tested programs that are complex, contested, and chronically underfunded. Consolidate the redundant programs into a single direct cash transfer and you recover $400 to $600 billion in administrative overhead alone. The net new spending lands closer to $1 to $1.5 trillion. We spent $5 trillion in eighteen months during COVID. We built the interstate highway system. We sent a generation to college on the GI Bill. America has never lacked the ability to fund what it decided mattered.

The question is whether we decide this matters… before the fracture makes the choice for us.

The funding mechanism has a viable path. Governments provide scarce public inputs (land, spectrum, energy access, tax credits, publicly-funded research) in exchange for a contractual dividend obligation per citizen. Separately, they establish a federal mandate tied to market access: companies above a threshold that sell products and services nationally contribute to a National Productivity Fund proportional to their deployment of AI and robotic labor equivalents. Both mechanisms are legally grounded in existing precedent—spectrum auctions, franchise agreements, and interstate commerce regulation—and neither requires the government to “own” AI the way Alaska owns oil.

Alaska’s Permanent Fund is the closest working model, even accounting for the differences. It has paid every Alaskan a dividend from oil revenues since 1982 (currently $1,300 to $2,000 per person annually) with broad bipartisan support for four decades. No one calls it a tax on oil. The public owns a share of the resource. They receive a share of the proceeds. The principle transfers even when the legal mechanism must differ.

Scale that model nationally.

Companies above a threshold size report AI and robotic deployment on an equivalent-labor basis. Each full-time-equivalent worker displaced generates a contribution to the National Productivity Fund. The Fund distributes proceeds as a per-capita dividend to every American adult, supplementing and gradually replacing direct government UBI outlays over time.

The self-funding loop closes: automation displaces workers, which funds the dividend, which sustains the displaced, which preserves the political conditions for automation to continue, which produces more dividend revenue. The system is not fighting automation. It is taxing automation’s success on behalf of everyone, and in doing so, giving every American a financial stake in the outcome.

PHASE-3: THE GREAT DEFLATION & THE UHI MOMENT (2031 – 2035)

The word deflation is inadequate for what Phase-3 brings. Deflation implies prices falling within an existing market structure. What is coming is categorically different.

Demonetization is the process by which entire categories of human needs move from scarce, expensive, and labor-intensive to abundant, near-free, and algorithmically or robotically delivered. This has already happened to music, navigation, photography, information, telephony and intelligence. The marginal cost of delivering these to the millionth user is zero. The category has been demonetized.

What Phase-3 brings is demonetization of the physical world (transportation, shelter, healthcare, food, education, and energy) simultaneously. The mechanism in each case is identical: the primary cost input, which has always been human labor and expertise, is replaced by systems whose marginal cost of reproduction approaches zero.

Let’s take transportation. With five or ten autonomous EV companies competing in every major market, the price race is structural and inevitable. The marginal cost of a robotaxi mile (i.e., electricity plus maintenance plus software) lands at $0.20 to $0.40 at scale. The average American household drives 13,500 miles per year and currently spends $12,000 on transportation. At $0.20 per mile, that drops to $2,700. Over $9,000 returned to every household. For a family on $3,000 per month UBI, that is a 26 percent effective income increase from this category alone.

Or consider housing. Robotic construction cuts labor costs (40 to 50 percent of total build cost) by 50 to 70 percent as technology matures. A $350,000 home becomes a $110,000 home. But the deeper deflationary force is geographic. The reason downtown land commands a premium is that proximity to work, services, and amenities required physical presence. Virtualize the services—through AI healthcare, remote work over gigabit Starlink, online education—and you dissolve the premium for proximity. The effective supply of livable, high-quality land in America is not scarce. It is vast. The technology is making it accessible. A critical caveat must be stated here: lower production costs do not automatically translate into lower consumer prices. History does not guarantee this transmission. Mobile data and internet connectivity costs have risen over the past decade even as the underlying infrastructure became dramatically cheaper to operate. The productivity gains flowed to shareholders and valuations, not to consumers. The Phase-3 thesis depends on ensuring the same dynamic does not repeat across housing, healthcare, food, transportation, and energy. This requires active policy mechanisms: competitive market structure enforcement to prevent oligopolistic pricing, public procurement at scale to anchor price floors, and potentially direct subsidy of the Abundance XPRIZE bundle as a consumer baseline. The deflationary wave is real, but it must be steered — it will not automatically land where it is needed most.

“Basically AI and robots are going to make so much stuff and provide so many services that they will actually run out of things to do for the humans. There’s only so much that humans can even express that they want. If we grow 1,000 times more than our current economy, you probably have already saturated anything people can think of that they want.”

- Elon Musk @ the 2026 Abundance Summit, Speaking on UHI

Healthcare, education, energy, food: the story is the same in each category. AI diagnostics at a fraction of specialist cost. Personalized AI tutoring that outperforms average classroom instruction at near-zero marginal cost. Solar electricity already at $0.02 to $0.03 per kilowatt hour and falling. Robotic agriculture compressing food costs by 30 to 40 percent.

A household receiving $36,000 per year in UBI in 2032 is living in a world where their basic cost of living has fallen by $21,500 compared to today. Their effective purchasing power is $57,500 in 2024 dollars. Solidly middle class.

The check did not change. The world did. That is the UHI moment.

THE MECHANISM THAT MAKES IT REAL: THE “ABUNDANCE XPRIZE”

Predicting that deflation arrives is not the same as ensuring it arrives in time, at scale, and accessible to everyone. Market forces left to themselves deliver deflation unevenly: first to the technologically comfortable, the geographically flexible, the economically resilient. The family without broadband, the elderly resident without a smartphone, the single mother in a high-cost city… they receive the benefits last, if at all.

At the 2025 XPRIZE Visioneering event—where the organization’s global brain trust gathers annually to identify the next generation of grand challenges—the top winning concept was the Abundance XPRIZE.

Here’s the premise: design a competition that produces a bundle of universal basic services (housing, food, clean water, electricity, bandwidth, and transportation) deliverable to a family of four for $250 to $1,000 per month.

The $250 figure is the aspirational endpoint as Phase-3 fully lands. The $1,000 figure is the near-term target for 2027 to 2029.

There is a profound difference between giving a family $3,000 per month to navigate an expensive, fragmented market, and collapsing the cost of the things themselves through innovation competition and delivering them as an integrated bundle. When the Abundance bundle exists at $1,000 per month and UBI pays $3,000, the family retains $2,000 per month in completely discretionary income. That is the foundation for entrepreneurship, creativity, and genuine participation in whatever economy comes next.

A parent who does not know if their children will eat tonight cannot think strategically about retraining or building a new life. Desperation narrows cognition. The Abundance XPRIZE is not a safety net. It is a cognitive liberation program.

The XPRIZE mechanism is also politically elegant because it is not a government program. It is a private sector innovation challenge that produces results government can then procure and subsidize at scale. It sidesteps the ideological war over spending by letting the market solve the cost problem first. (BTW, the XPRIZE is looking for a benefactor to help fund this competition.)

THE VALLEY THAT MUST BE NAMED

Every argument for Phase-3 depends on a timing assumption that must be stated explicitly: the deflationary wave must arrive before the social and political cost of the transition destroys the conditions for it to complete.

Name the valley. It runs from approximately 2026 to 2031. Displacement has arrived at scale. UBI is being paid at full price. The Automation Dividend is ramping. But the deflationary wave has only partially landed. A family receiving $3,000 per month in 2028 is living in a world that is still largely expensive. The math works, barely, for some. For others it does not.

This is where political pressure peaks. A generation promised abundance but living on a constrained budget in an expensive world will look for someone to blame. The historical record on what happens next is not reassuring.

The valley is not inevitable. It is a design problem. The Abundance XPRIZE, the shortened work week, the Automation Dividend, geographic de-materialization via Starlink and autonomous vehicles — these are valley-bridging mechanisms. They are the most important work of this decade. Not because Phase-3 is uncertain. Because the valley before it is dangerous.

THE UNCOMFORTABLE PARADOX

The deflationary wave of Phase-3 depends on the acceleration of the very automation that causes the displacement of Phase-1. Slow the robots to protect jobs and you also slow the deflation that makes the UBI check into a UHI check. The mechanism that creates the problem is the mechanism that solves it.

This means the Automation Dividend must be calibrated carefully: high enough to fund the transition, not so high that it slows the deployment that makes Phase-3 possible. A robot tax that is too punishing is not a worker protection. It is a Phase-3 delay. And a Phase-3 delay means more time in the valley.

The disruption, handled badly, defeats the solution. Handled well, the paradoxes resolve: displacement funds stability, stability preserves investment, investment delivers deflation, deflation justifies the UHI thesis. But it requires navigation, not just prediction.

WHAT NEEDS TO BE BUILT

This is not a passive prediction. It is a call to action organized around a specific insight: UBI becomes UHI through technological inevitability, but only if the right mechanisms are built in the right sequence to bridge the valley between here and there.

Deploy UBI at a meaningful level ($3,000 per month is the empirically-grounded floor) framed not as charity but as a displacement dividend in an economy generating historically unprecedented productivity gains.

Structure the Automation Dividend to recapture a share of AI productivity gains and return them to the public. Alaska has proven the model works politically. Apply it nationally.

Fund the Abundance XPRIZE to collapse the cost of basic human needs to a bundle price of $1,000 per month or less. Not as a government program. As a prize-driven innovation challenge that produces solutions government can then scale.

Accelerate geographic de-materialization. Universal gigabit broadband is infrastructure as important as the interstate highway system. Autonomous electric vehicles are a public utility question, not merely a consumer product question. Zoning reform for robotic modular construction is a national priority.

And answer the meaning question. Material abundance solves the Maslow problem. It does not solve the Frankl problem. A generation freed from economic necessity but without purpose is not a generation that has arrived at abundance. National service, human exploration, the expansion of science and art and community: these are the answers to the question that deflation alone cannot answer.

UHI is not the destination. It is the launchpad. Everything in this framework is the precondition for what humanity does next with the cognitive and creative freedom that abundance unlocks.

The transition from UBI to UHI is a race. Can the deflationary wave arrive before the social fracture becomes irreparable? Can the Abundance XPRIZE collapse the cost of basic needs before the valley of desperation destabilizes the political conditions for the transition to complete?

These are not rhetorical questions. They are engineering problems. And engineering problems have solutions.

The work begins now.

IN SUMMARY: THE THREE-PHASE ARGUMENT

The UBI-to-UHI thesis rests on a single, powerful observation: the value of a fixed income check is not determined by its dollar amount. It is determined by what that amount can buy. When AI and robotics collapse the cost of living’s five major categories by more than half, a $3,000/month check that barely covers basics today becomes a genuinely prosperous life. The check doesn’t change. The world does.

Getting there requires navigating three sequential phases. Phase-1 (2025–2028) is the fracture: mass displacement arrives faster than safety nets can respond, and the urgent priority is deploying UBI at replacement-income levels ($3,000/month) alongside a shortened work week to preserve employment attachment during the transition window. Phase-2 (2028–2031) is the Automation Dividend: a mechanism that recaptures a share of AI productivity gains for public distribution, modeled on Alaska’s Permanent Fund but applied nationally, ensuring automation self-funds the income floor it displaces. Phase-3 (2031–2035) is the Great Deflation: robotics and AI collapse the cost of transportation, housing, healthcare, food, and energy simultaneously—exactly as they already collapsed the cost of music, maps, photography, and information—converting the UBI floor into genuine abundance.

The dangerous passage is the valley between Phase-1 and Phase-3 (roughly 2026 to 2031) when displacement has arrived at full scale but deflation has only partially landed. This is where political pressure peaks and where the wrong choices (punitive robot taxes that slow deployment, insufficient UBI that fails to cover basics) could derail the entire transition. The Abundance XPRIZE, the 32-hour work week, and the Automation Dividend are not policy luxuries.

They are the valley-bridging mechanisms on which the outcome depends.

History offers no clean precedent for what is coming: the GI Bill worked because there were jobs to go to; demonetization of digital goods worked because it didn’t require anyone’s income to survive. This time, the transition must succeed on both fronts simultaneously: maintain incomes while the cost of living collapses beneath them. If the sequencing holds and the mechanisms are built, UHI is not a utopian aspiration. It is an arithmetically inevitable outcome.

The only question is whether we navigate the valley well enough to reach it.

— Peter

Behind the Curtain: AI's looming cyber nightmare

A major downside to AI.

https://www.axios.com/2026/03/29/claude-mythos-anthropic-cyberattack-ai-agents

100x Less Power: The Breakthrough That Could Solve AI’s Massive Energy Crisis

https://scitechdaily.com/100x-less-power-the-breakthrough-that-could-solve-ais-massive-energy-crisis/

A Simple Blood Test Could Predict Dementia Risk 25 Years Early

Well, make it available!

https://scitechdaily.com/a-simple-blood-test-could-predict-dementia-risk-25-years-early/

DeepMind’s New AI Just Changed Science Forever

It shouldn’t be long (months!) before science starts advancing at a breakneck pace.

https://youtu.be/Io_GqmbNBbY?is=0mntNyR1FSsAyz_b

Microscopic Medicines That Work Inside Human Cells Unlock New Treatments for Alzheimer’s Disease

https://scitechdaily.com/microscopic-medicines-that-work-inside-human-cells-unlock-new-treatments-for-alzheimers-disease/

Scientists Just Broke the Solar Power Limit Everyone Thought Was Absolute

This is pretty mind-blowing.

https://scitechdaily.com/scientists-just-broke-the-solar-power-limit-everyone-thought-was-absolute/

Scientists Uncover New Alzheimer’s Drug Target That Slashes Brain Plaques

https://scitechdaily.com/scientists-uncover-new-alzheimers-drug-target-that-slashes-brain-plaques/

Scientists Identify Molecular Switch That Lets Exercise Reverse Muscle Aging

It’s just interesting to see how that works. 

https://scitechdaily.com/scientists-identify-molecular-switch-that-lets-exercise-reverse-muscle-aging/

Scientists Call for a Complete Rethink of Alzheimer’s Treatment

https://scitechdaily.com/scientists-call-for-a-complete-rethink-of-alzheimers-treatment/

Scientists Map Aging Brain in Unprecedented Detail, Revealing Clues to Alzheimer’s and More

https://scitechdaily.com/scientists-map-aging-brain-in-unprecedented-detail-revealing-clues-to-alzheimers-and-more/

Tiny Brain-Inspired Device Could Solve AI’s Biggest Energy Problem

“By combining data storage and processing in the same location, it could cut energy use by up to 70% while operating at very low power. Systems built this way could also adapt more easily, similar to how the brain learns over time.”

https://scitechdaily.com/tiny-brain-inspired-device-could-solve-ais-biggest-energy-problem/

Scientists Say One Gene Could Be Behind up to 93% of Alzheimer’s Cases

“APOE does not act alone in causing Alzheimer’s or other dementias. Even among people with two ε4 copies, the highest risk group, the lifetime risk of developing Alzheimer’s remains below 70%.”

“Most people with genetic risk factors like APOE ε3 and ε4 won’t get dementia in a typical lifetime, since there are complicated interactions at play with other contributing genetic and environmental risk factors.”

Encouraging, but those two paragraphs are contradictory as far as the odds are concerned.

https://scitechdaily.com/scientists-say-one-gene-could-be-behind-up-to-93-of-alzheimers-cases/

DNA Robots Are Coming: Tiny Machines That Could Transform Medicine and Technology

This is nanotechnology.

https://scitechdaily.com/dna-robots-are-coming-tiny-machines-that-could-transform-medicine-and-technology/

New Study Challenges Decades of Alzheimer’s Understanding With Microtubule Discovery

https://scitechdaily.com/new-study-challenges-decades-of-alzheimers-understanding-with-microtubule-discovery/

This Spinning Device Could Turn Ocean Waves Into Endless Clean Energy

https://scitechdaily.com/this-spinning-device-could-turn-ocean-waves-into-endless-clean-energy/

These Genetically Engineered Brain Cells Devour Toxic Alzheimer’s Plaques

https://singularityhub.com/2026/03/13/these-genetically-engineered-brain-cells-devour-toxic-alzheimers-plaques/

Scientists Just Built Atom-Sized Gates That Act Like Living Cells

“The chemically driven membrane system could also support emerging technologies such as single-molecule sensing (e.g., using nanopores to sequence DNA), neuromorphic computing (using electrical spikes to mimic the behavior of biological neurons), and nanoreactors (creating unique reaction conditions through confinement).”

https://scitechdaily.com/scientists-just-built-atom-sized-gates-that-act-like-living-cells/

Gut Bacteria Discovery Could Change How Doctors Treat ALS and Dementia

https://scitechdaily.com/gut-bacteria-discovery-could-change-how-doctors-treat-als-and-dementia/

Scientists Say Conquering Age-Related Diseases Could Dramatically Extend Human Life

https://scitechdaily.com/scientists-say-conquering-age-related-diseases-could-dramatically-extend-human-life/

Scientists Discover Hidden “Gatekeeper” Inside Brain Cells Linked to Alzheimer’s

https://scitechdaily.com/scientists-discover-hidden-gatekeeper-inside-brain-cells-linked-to-alzheimers/

The Longevity Singularity

Here’s another provocative post from Peter Diamandis. Aging may be conquered in just a few years:

——

After AI agents (Day 1) and humanoid robots (Day 2), Peter pivoted to the technology that makes everything else matter: longevity. Because what’s the point of building a moonshot if you’re not around to see it land?

Day 3 brought leading longevity researchers and entrepreneurs to stage. The theme: We’re approaching “longevity escape velocity” faster than anyone realizes, and AI is the accelerant.

Here’s what you need to know.

1. We’re Entering the “Longevity Singularity”

Peter introduced the concept: **Longevity Singularity** = the moment we KNOW we’re extending healthy human lifespan, not just guessing.

Leading researchers at Harvard and other institutions have made the case: “Our generation is going to witness aging become optional. Your body is more like a computer that can be programmed, reprogrammed, and rebooted to be young again.”

Translation: Aging isn’t wear and tear. It’s **information loss** at the cellular level. If you can restore the information (epigenetic reprogramming), you can restore youth.

Labs around the world have been proving this for 20 years. They’ve reversed aging in mice. Made old cells young again. Restored vision in blind mice by rewinding cellular age. It works.

Implication: The question isn’t IF we can reverse aging. It’s WHEN it becomes safe/scalable for humans. Leading researchers think we’re **2-5 years away** from first FDA-approved epigenetic reprogramming therapies.

2. AI + Biology = The Fastest Drug Discovery Engine Ever Built

Day 3 showcased how AI is revolutionizing longevity therapeutics discovery. Major biotech firms and research institutions are using AI systems that “self-play the game of increasing longevity.”

What does that mean? Traditional drug discovery:

• Human scientists hypothesize → test → fail → repeat

• 10-15 years per drug

• 90% failure rate

• $2 billion per successful drug

AI-powered approach:

• AI generates millions of hypotheses simultaneously

• Tests them in silico (computer simulation) instantly

• Only moves winners to wet-lab testing

• Collapses 10 years → 18 months

Leading institutions explained: “We’re not just using AI to help scientists. We’re letting AI self-play across as many different formats as possible to discover what actually works.”

The result? These AI systems have already identified longevity therapeutic candidates that wouldn’t have been found by human researchers for decades.

Implication: The pace of longevity breakthroughs is about to go **exponential**. What took 20 years will take 2 years. What took 2 years will take months.

3. True Longevity Therapeutics Work Everywhere (Not Just One Cell Type)

Leading researchers made a critical distinction most people miss:

**Fake longevity therapeutic:** Works in one cell type (liver cells, skin cells, etc.). Makes good headlines. Doesn’t actually extend lifespan.

**Real longevity therapeutic:** Works throughout the ENTIRE body. Crosses blood-brain barrier. Reaches every tissue. Coordinates systemic rejuvenation.

Why this matters: Your body has ~37 trillion cells across 200+ cell types. If your “longevity drug” only works in hepatocytes (liver cells), you’re not reversing aging—you’re treating liver disease.

The therapies being developed (epigenetic reprogramming via gene therapy) are **systemic**. One treatment. Whole body. This is why they’re so hard to develop—but also why they’ll be civilization-changing once they work.

Implication: Stop chasing supplements that “improve mitochondrial function in muscle tissue.” Wait for (or invest in) therapies that reprogram your entire biological age.

4. Longevity Will Be Affordable (Not Just for Billionaires)

Peter asked the question everyone’s thinking: “Is this just for the ultra-wealthy?”

Researchers’ answer: **”A couple hundred bucks a month.”**

Here’s why longevity therapeutics will be cheap:

• Gene therapy is one-time or infrequent dosing (not daily pills)

• Manufacturing costs drop exponentially (same curve as genome sequencing)

• Market size is EVERYONE (8 billion potential customers = economies of scale)

• Governments/insurance will subsidize (because healthy people are cheaper than sick people)

Compare to current costs:

• Fountain Life whole-body scan: ~$20K/year

• Rapamycin + NAD+ + supplements: ~$500/month

• Future epigenetic therapy: ~$200/month

Implication: Longevity escape velocity won’t be a billionaire’s club. It’ll be as accessible as smartphones within a decade.

5. The Convergence: AI + Robotics + Longevity = Warp Speed

Peter dropped this line:

“I am SO excited about the intersection of advanced superintelligence, robotics, and longevity. There’s a convergence in those three things that’s gonna put us into warp speed.”

Here’s the convergence:

**AI discovers longevity therapeutics** → Humans live 20-30 years longer → More time to build/innovate → Deploy armies of robots to execute → Robots handle physical labor → Humans focus on moonshots → Moonshots accelerate AI → AI discovers better longevity therapeutics → Positive feedback loop

This is why Peter structured the summit this way: Day 1 (AI) → Day 2 (Robots) → Day 3 (Longevity). These aren’t separate trends. They’re **one interlocking system**.

Leading researchers framed it: “Once you can fly, everything changes. Same with longevity. Once we prove we can reverse aging, the entire conversation shifts.”

Implication: The 2030s won’t just be the decade of AI or robots or longevity. It’ll be the decade when all three converge to create a world unrecognizable from 2026.

STRATEGIC IMPLICATIONS

For Individuals

1. **You can start today:** Leading protocols are mostly accessible now (fasting, exercise, basic supplements, sleep optimization).

2. **Track biomarkers:** What gets measured gets managed. Annual blood work, DEXA scans, VO2 max testing, etc.

3. **Stay informed:** Longevity landscape changing monthly. Follow leading researchers, institutions like Fountain Life, XPRIZE Healthspan updates.

The Bottom Line

Day 3 made longevity feel **immediate**, not distant.

Leading researchers didn’t talk about “maybe in 50 years.” They talked about therapies entering FDA trials in the next 2-5 years. They talked about $200/month pricing. They talked about protocols you can start TODAY.

AI researchers didn’t pitch vaporware. They showed how AI is collapsing drug discovery timelines from decades to months, finding therapeutics that wouldn’t exist without machine intelligence.

Peter tied it all together: This isn’t just about living longer. It’s about having MORE TIME to build moonshots, uplift humanity, and create abundance.

The field’s consensus: “Our generation is going to witness aging become optional.”

Not our kids’ generation. Not someday. **Our generation.**

If you’re not optimizing for longevity NOW—tracking biomarkers, getting scans, dialing in protocols—you’re leaving decades on the table. And in a world where AI + robots + longevity are converging, those decades might be the most important ones you’ll ever live.

Days 1-3 of A360 painted a complete picture: AI is doubling in power every 6 months. Robots are shipping this year. And longevity escape velocity is closer than anyone thinks.

The future isn’t just better. It’s longer. And it starts now.