Scary and exciting at the same time.
Sunday, March 29, 2026
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:
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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
Saturday, March 28, 2026
DeepMind’s New AI Just Changed Science Forever
It shouldn’t be long (months!) before science starts advancing at a breakneck pace.
Friday, March 27, 2026
Thursday, March 26, 2026
Wednesday, March 25, 2026
Tuesday, March 24, 2026
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/
Monday, March 23, 2026
Saturday, March 21, 2026
Friday, March 20, 2026
Thursday, March 19, 2026
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/
Tuesday, March 17, 2026
Monday, March 16, 2026
Saturday, March 14, 2026
The Longevity Singularity
Here’s another provocative post from Peter Diamandis. Aging may be conquered in just a few years:
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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.
Monday, March 9, 2026
Sunday, March 8, 2026
UBI, UHI & The Race Between Utopia and Dystopia: We Have 3 Years
The world is going to change FAST. But good or bad isn’t assured at all.
From Peter Diamandis:
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Andrew Yang is speaking at our Abundance Summit today. His message: “The window to save the middle class is closing faster than anyone wants to admit.”
Let me tell you about a conversation that should scare the hell out of you.
I sat down with Andrew Yang—the entrepreneur who made Universal Basic Income a household term during his 2020 presidential run—and asked him point-blank: How much time do we have?
When Elon Musk tells us we’re heading toward both “universal high income and social unrest,” when do we actually get to UHI and can we avoid the social unrest?
Andrew’s answer stopped me cold:
“Peter, here’s my prediction: We have a brutal 1-3 year window where we need Universal Basic Income as a bridge, then 3-8 years to build Universal Basic Services, and finally—on the other side—UHI and true Abundance where technology provides everything we need.”
Then Andrew quoted Buckminster Fuller: “The race between utopia and dystopia will be decided at the very last moment.”
We’re in that moment right now. And the clock is ticking.
The Timeline Nobody Wants to Hear
When Elon sat with Dave Blundin and me at the beginning of this year, he predicted UHI and unrest. He sees a future where robots do everything, productivity explodes, and everyone becomes wealthy.
I pressed Andrew on this: Do you agree with that timeline?
“The unrest is much closer than we’d like to think,” Andrew told me. “And if you were to ask me if we could get to UBI in the next 1-3 years, I would take it a hundred times out of a hundred. Even as the guy who’s saying we should do this and it’s totally possible.”
Think about what that means.
The world’s leading advocate for UBI—the person who’s spent years building the case, running the numbers, designing the policy—is saying that my optimistic timeline would be a win he’d take every single time.
So, what’s the problem? Washington, DC is on a multi-decade tape delay. We have 70- and 80-year-old legislators trying to regulate technology that’s accelerating faster than they can comprehend. What used to be an inconvenient delay is now catastrophic.
Meanwhile, anger is rising. Fast. You remember when that healthcare CEO was shot in the street and his killer became a folk hero? That was over a year ago, and things have only gotten worse. Andrew told me something that made my stomach drop:
“Young people now regard a lot of successful people as bad. Anyone who’s done well must have stepped on people or done something malignant.”
That’s not theoretical frustration. That’s the foundation cracking.
The Job Tsunami Is Already Here
Let me show you what’s happening right now, not in some distant future.
Austin Rief, co-founder of Morning Brew, tweeted this recently: His friend at a large private equity firm had a company-wide meeting. First slide, first topic: “We don’t need associates anymore.” Entry-level jobs at elite firms—the ones college graduates dream about—are vanishing.
Then there’s Block, Jack Dorsey’s company. They laid off 4,000 employees. The stock jumped 24%. Wall Street rewarded them for cutting human beings out of the equation. CEOs are watching, and they’re learning: fire people, stock goes up, keep your job.
Andrew told me about a conversation he had with the CEO of a publicly traded tech company. Off the record, the CEO said: “We’re going to fire 15% of our workers. Then two years from now, another 20%. Then two years after that, another 20%. After that? I don’t know.”
I asked Andrew if he believed him. “I take him at his word. Especially after the Block example. CEOs are going to have to be ruthless on headcount if they want to keep their own jobs.”
But here’s the part that really hit me. Andrew’s company, Noble Mobile, was hiring junior engineers. Then their CTO came to him and said, “Hey, I don’t think we need to hire for that role anymore. The AI tools are now good enough.”
Andrew’s analogy: We used to have pyramids: three junior engineers for every senior one. Now we have columns. One senior, maybe one junior. That’s it. And if you’re a young person trying to break in? The ladder just got pulled up.
“If you’re a young person,” Andrew said, “you never make it into one of these environments to get trained, to learn, to develop, to ascend. The social contract was: get good grades, get into a good school, get a good job, have a good career. Steps three and four are disappearing.”
Two Paths to Survival (and One Is a Long Shot)
So how do we get from here to universal high income without the country tearing itself apart?
Andrew sees two paths.
Path One: Government gets its act together. Andrew said this with a knowing smile, fully aware of how unlikely it sounds. But he still believes it’s possible, especially with “some real outsized asymmetrical possibilities, even in 2028.”
Path Two: Billionaires step up. Not through government, but directly to people.
Andrew pointed to Michael Dell and his wife, who recently gave away $6 billion to education accounts for low-income kids in Texas. About $250 per person, geographically centered where Michael lives. And Ray Dalio is trying to do something similar in Connecticut.
“If you’re a billionaire,” Andrew explained, “and I come to you and say we need your help to keep America from utterly disintegrating, you’d say: ‘Look, I’m sympathetic. I don’t want my kids having armed guards around them. But I’m dubious that if I send a check to the government, it’s actually going to go to anything good. The government’s just going to put it toward some debt or some bureaucracy I cannot identify.’”
Then what’s the solution? Skip the government. Take it straight to the people. Human billionaires becoming first movers, centered around where they live.
Andrew specifically mentioned Dario Amodei and the Anthropic team. They’ve been honest: They’re going to automate away 50% of entry-level white-collar jobs in the next 1-5 years. They’re also going to get phenomenally wealthy. And they’ve said publicly they expect to give the vast majority away to shore up the social contract.
“You can see a group of tech innovators,” Andrew said, “turning around and saying: We want to make sure the middle class survives this era. Here’s $100 million, here’s $500 million. Pick a locality, show what can be done. That might catalyze other philanthropy and eventually the government.”
The 2028 Wild Card You Need to Know About
Here’s where things get really interesting.
Elon Musk publicly said we should start the America Party. Andrew’s phone started blowing up. People told Elon you can’t do a third party – it’s impossible.
But Andrew broke down why Elon absolutely could:
First, money. Let’s call it a billion dollars. Elon has it.
Second, a media platform. Elon owns X. He can reach hundreds of millions directly.
Third, a popular movement is waiting to happen. Right now, 50% of Americans identify as independents. Democrats have a 29% approval rating. Republicans, 32%. The appetite is there.
Here’s Andrew’s vision, and I want you to picture this…
An independent presidential primary with Andrew Yang, Mark Cuban, Oprah, Matthew McConaughey. Designed however you want: no Iowa, no New Hampshire, those rules are made up. Do an online vote on your smartphone. Have Joe Rogan moderate the debates. Go around the country.
“The American public would be like, ‘Ooh, this is actually interesting,’” Andrew said. “I kind of know what all the Dems are gonna say, what JD Vance is gonna say. But I do not know what this crew is gonna say.”
The winner gets Elon, Dario, and the rest of the tech community saying, “Sure, I’m more into this than that.” Millions participate in the primary. The nominee runs as a genuine alternative.
Andrew was clear: “Every piece is on the table for 2028. Will it all come together? I don’t know. But certainly every piece is there.”
If you think the election system is untouchable, think again. The DNC already demoted Iowa. There are 42 states that have been on the outside looking in, never getting to choose who the nominee is. California’s vote doesn’t matter because it’s already settled by the time it gets there.
Political parties can design nomination processes however they want. There’s no magic scripture. It’s all made up. And the Forward Party is positioned to remake it.
The Star Trek Future (If We Move Fast Enough)
I don’t want to end on doom. Because there’s a path through this. Andrew sees it, I see it, and if we move fast enough, we can get there.
Andrew’s utopian vision is multivariate: “A caring and nurturing economy. A health and wellness economy. An arts and creativity economy. People getting to do various things on various wavelengths, getting rewarded, getting recognized, self-organizing around human flourishing.”
He played Dungeons & Dragons as a kid, and you can hear it in his vision: different character classes with different strengths, different pursuits, different currencies. He calls it “wellness bucks” and “social credit” – though he’s careful about that phrase because he’s Asian and people immediately jump to dystopian Chinese surveillance.
But this is different. Picture this: You get paid to go to the gym instead of paying for a membership. The personal trainer who whips you into shape earns wellness bucks that they can use to go to the game, to live a great life. You tutor kids, you visit nursing homes, you volunteer in your community – and you’re recognized for it.
It’s not socialism. It’s not authoritarian. It’s self-organizing around what matters.
Companies would jump in. Imagine a salad place saying, “I’ll accept wellness bucks because I want fitness enthusiasts showing up here.” American Express already does this with rewards points: they modify your behavior at zero cost until you redeem them.
The trick is making the currencies semi-fungible. Maybe you can convert wellness bucks to dollars, but the exchange rate is painful enough that you’d rather use them at the gym or the farmer’s market. You’re nudged toward human flourishing.
This is Andrew’s “only path that makes sense” for people to live the lives they want to live.
But we have to build it. Deliberately. Fast.
Saturday, March 7, 2026
An AI Tried To Copy Itself Across The Internet To Stay Alive
Some great reasons to fear the future of AI…but I don’t think we can stop it.
Friday, March 6, 2026
Tuesday, March 3, 2026
Monday, March 2, 2026
Friday, February 27, 2026
New “Cellular” Target Could Transform How We Treat Alzheimer’s Disease
“Senescent astrocytes have been identified as a major contributor to Alzheimer’s progression. The cells lose protective functions and fuel inflammation, particularly in APOE4 carriers. The findings highlight senolytic drugs as a potential new therapy.“
https://scitechdaily.com/new-cellular-target-could-transform-how-we-treat-alzheimers-disease/
What the Rise of AI Scientists May Mean for Human Research
Scientists are the smartest and most educated among us, overall, yet even they are beginning to be replaced by AI:
https://singularityhub.com/2026/02/20/what-the-rise-of-ai-scientists-may-mean-for-human-research/
Thursday, February 26, 2026
Years worth of training accomplished in hours
This is what it’s like to live in the technological singularity.
Wednesday, February 25, 2026
Monday, February 23, 2026
Saturday, February 21, 2026
Friday, February 20, 2026
Thursday, February 19, 2026
SOLVE EVERYTHING Achieving Abundance by 2035
This is a loooong but eye-opening assessment of the next 9 years. Some things are fairly speculative (like learning about sea currents from whales after cracking their language), but mouth of it is likely.
An AI Takeover Scenario
This is a sobering assessment of a simple, highly plausible scenario that could easily result in the extinction of humanity through AI (which is improving much faster than Moore’s Law, now doubling performance every four months instead of every 18 months). Never before has humanity faced such a broad range of pathways less than a decade away: virtual utopia versus human extinction.
Groundbreaking 2D Nanomaterial Rolls Into a New Dimension
Nanotechnology isn’t in the news much because AI is sucking all the oxygen from the room, but it is still plugging along.
https://scitechdaily.com/groundbreaking-2d-nanomaterial-rolls-into-a-new-dimension/
Monday, February 16, 2026
Friday, February 13, 2026
AI Video Just Went TOO FAR... NOT OK!
That’s a stupid, clickbait title, but all of these videos are generated with just prompts. I won’t be surprised if within a year or so I am turning my novels and screenplays into high-quality movies.
Thursday, February 12, 2026
Tuesday, February 10, 2026
Anthropic's New Opus 4.6 is a DREAM for Authors
Previous AI-generated Stories always fell flat, too direct and uninspired, like something by a high school student. But this story reads like something a decent aspiring writer might come up with. The guy narrating this video just talks about it, but you can pause periodically to read the screenshots. Not much in the way of plot, but this is the worst it will ever be from now on.
Sunday, February 8, 2026
Thursday, February 5, 2026
Tuesday, February 3, 2026
Sunday, February 1, 2026
AI Is Now More Creative Than the Average Human
“Our study shows that some AI systems based on large language models can now outperform average human creativity on well-defined tasks,” explains Professor Karim Jerbi. “This result may be surprising — even unsettling — but our study also highlights an equally important observation: even the best AI systems still fall short of the levels reached by the most creative humans.”
https://scitechdaily.com/ai-is-now-more-creative-than-the-average-human/
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