Human achievement is the one asset class the world’s financial architecture has never learned to price. We have built trillion-dollar markets for oil, gold, sovereign debt, carbon credits, weather derivatives and tokens with no underlying business, yet no broad mechanism lets society invest in the measurable excellence of a human being. This feature asks how that gap opened, why declining institutional trust and AI-generated content make verified performance newly precious, and whether the runner training before sunrise is sitting on the century’s most underpriced asset.

The Paradox: Markets for Everything, Value for Nothing Human

At 4:47 on a Tuesday morning in Iten, Kenya, a nineteen-year-old runner named Mercy straps on a pair of worn trainers and begins a twelve-kilometer tempo run along a red dirt road. There is no crowd. There is no broadcast. A single coach holds a stopwatch and a notebook. By the time she finishes, her split will be written down in pencil, compared to the week before, and filed away. It is, by any reasonable definition, a measurable act of human achievement: a body performing against time, gravity, and the limit of what a person can endure.

Six thousand miles away, on the same morning, electronic exchanges in Chicago, London, and Singapore will process trillions of dollars in contracts tied to barrels of crude oil, ounces of gold, sovereign debt, freight rates, carbon allowances, and tokens that exist only as entries on a distributed ledger. Financial markets have been engineered to price almost anything: the weather in Iowa, the default risk of a municipality, the future price of a memory chip, the rainfall in Haryana. Yet no major financial system exists that allows society to broadly invest in measurable human achievement itself. That is the paradox this investigation sets out to explain.

The gap is not trivial. Human achievement, defined narrowly and verifiably, is one of the few assets whose supply cannot be inflated by a central bank or a printing press. We mean records, rankings, verified outcomes: a sub-two-hour marathon, a world championship, a documented performance trajectory, a measured improvement in a young athlete’s speed or strength. These are auditable facts. They have scarcity. They have drama. And in a world where nearly every other form of value has been securitized, packaged, and traded, they remain almost entirely outside the financial system.

Why? The question has become urgent for reasons that reach far beyond sport. Trust in institutions is fracturing. New technologies are making it cheap to manufacture convincing fakes. Attention, not merit, drives the modern economy. Capital chases abstraction because abstraction is easy to scale, easy to package, and easy to sell. Meanwhile, a generation locked out of traditional asset ownership is searching for a different way to participate in wealth creation. In that context, the absence of a market for human performance stops looking like an oversight and starts looking like a structural blind spot.

This feature investigates that question in eleven parts. It begins with the collapse of shared truth and asks whether sport may be the last universally recognized scoreboard. It examines what remains scarce in an age of generative AI, where machines can produce text, images, code, and research at near-zero marginal cost. It looks at the explosive growth of sports betting, where billions are wagered on athletes while almost no capital is invested in their development. It explores the attention economy, developing nations rich in talent but poor in infrastructure, the magnetic pull of meme stocks and cryptocurrency, the case for human performance as a kind of digital gold, the loneliness that sport alone seems to relieve, and the younger generation locked out of traditional ownership.

Only at the very end do we examine one emerging experiment, ASM, which is attempting to build financial infrastructure around measurable athletic achievement. We do not present it as a solution. We present it as a question that few people have thought to ask: whether human achievement itself may be the last asset class that markets have never learned to price.

The stakes are larger than they appear. A market that can price human potential would change how talent is discovered, how athletes are financed, and how societies think about merit. But before asking how such a market might work, it is worth understanding why it has taken so long to arrive, and why, in an age of manufactured truth, verifiable human performance may become more valuable precisely because it is real.

When Trust Collapses, What Still Measures True?

Before asking why markets do not price human achievement, it helps to ask why almost nothing else is priced with confidence anymore. The infrastructure of shared fact has been eroding for two decades, and the erosion has accelerated sharply in the past three years. Institutions that once served as arbiters of reality — statistical agencies, central banks, legacy newsrooms, peer-reviewed journals, election authorities — now operate in an environment where a substantial share of the public treats their outputs as one claim among many, no more privileged than a post from an anonymous account.

The numbers are not subtle. The Edelman Trust Barometer has for years recorded majorities across most developed economies saying they distrust government and media to tell the truth. Pew Research has tracked a long, steady decline in public confidence in the federal government and in the news media in the United States, with trust in the media falling to historic lows. Gallup finds confidence in most major institutions — Congress, the presidency, banks, organized religion, public schools — well below where it stood a generation ago. These surveys differ in methodology and wording, but they converge on a single conclusion: the pool of institutions broadly trusted to certify what is true has shrunk dramatically.

That shrinkage matters financially because markets run on trusted measurement. A bond price depends on an inflation figure someone must produce and defend. An earnings report depends on accounting standards and auditors. Credit ratings, index inclusions, crop estimates, oil inventories — all of it rests on a chain of certification that most participants never examine but everyone implicitly relies on. When that chain is questioned, capital does not become more rational. It becomes more skittish, more concentrated, and more prone to narratives that substitute for verification.

Then came the machines. Generative AI has made it trivially cheap to produce text, images, audio and video at a scale no editorial process can review. Deepfakes of political leaders, fabricated audio of executives, synthetic footage of events that never occurred — the production cost has collapsed toward zero while the detection cost has risen. Researchers tracking synthetic media report exponential growth in the volume of manipulated content online, and detection tools lag consistently behind generation tools. The practical consequence is a kind of ambient doubt: even authentic recordings can now be plausibly dismissed as fakes by anyone with an incentive to do so, a phenomenon sometimes called the liar’s dividend.

Consider one concrete case. When a video circulated appearing to show a national leader making an inflammatory statement, the clip was viewed millions of times within hours, was debunked by forensic analysts, and continued to circulate for weeks among audiences who had never seen the debunking and would not have trusted it if they had. The clip was false. The doubt it generated was real, and it did not fully recede when the facts arrived. That asymmetry — cheap to fabricate, expensive to disprove, impossible to unsee — is now a structural feature of the information environment, not an occasional glitch.

Into this fog steps an unlikely source of clarity: sport.

Whatever else has become contestable, a timed race is not. A runner either breaks the tape in under the record or does not. A scoreboard reads what it reads. A world record is ratified by a governing body, published in a database, and confirmed by electronic timing, photo finish, and drug testing protocols. Rankings are computed from results, and results are matters of public record. Football leagues, tennis tours, athletics federations, and Olympic committees may face their own governance controversies, but the underlying output — who won, by how much, under what conditions — remains one of the few categories of fact that people across political, cultural, and national lines still accept in common.

The contrast is striking. A contested election result can divide a country for years. A disputed inflation print can move markets on suspicion of methodology. But the 100-meter world record is not seriously disputed by anyone, anywhere. Its authority comes not from an institution’s reputation but from the transparency of the measurement itself: a defined distance, a certified clock, a public venue, witnesses, video, and a verification process that anyone can inspect.

This is why verified performance may be emerging as one of the last broadly trusted measures of value. Not because sport is morally superior to politics or journalism, but because its claims are structured to be checked rather than believed. In an environment where AI can generate a convincing press conference, a persuasive research report, or a plausible photograph of anything, the categories that retain credibility are those where the evidence is produced by physical effort under standardized conditions and recorded in ways that are difficult to counterfeit and easy to audit.

That has an economic implication few have examined. If trust is migrating from institutional authority toward verifiable measurement, then the assets most likely to hold credibility in the coming decade may be those anchored to outcomes that no one can generate synthetically. Human achievement — measured, timed, ranked, witnessed — belongs to exactly that category. The question is whether financial systems will notice before the trust has fully relocated.

What Stays Scarce When Machines Can Make Almost Anything

In 2023, a research team at a major technology lab asked a generative model to draft a legal memo, summarize a thousand pages of filings, and write a functioning software module in the time it took an analyst to open a spreadsheet. The output was imperfect but useful. Within a year, the cost of producing a competent paragraph of prose, a passable illustration, or a working line of code had fallen toward zero. The economics of abundance arrived faster than most forecasters expected.

Abundance in inputs changes the arithmetic of value. When supply of a good explodes, price collapses. Stock photography, entry-level copywriting, basic translation, boilerplate legal drafting — each has seen its market price compressed by tools that never sleep, never unionize, and never ask for a raise. The labor economist David Autor has argued that this is not a story of total substitution but of task displacement: automation eats routines, not entire occupations. The tasks that survive tend to be the ones that require judgment, physical presence, and accountability.

But something subtler is happening. The automation of production does not merely remove certain jobs. It reorders what society treats as scarce. Scarcity migrates. When text is infinite, attention to text becomes the bottleneck. When images are infinite, a photograph that cannot be faked becomes a luxury. When research summaries are infinite, original evidence becomes precious.

Nowhere is this reordering sharper than in physical human performance. A model can write a training plan. It cannot run the 400 meters. It can optimize a swimmer’s stroke from video. It cannot lower that swimmer’s heart rate under pressure in front of eighty thousand people. It can generate a highlight reel. It cannot produce the moment the reel depicts.

The scarcity argument is not sentimental. It is structural. Recorded times are finite and hard to obtain. Competitive hierarchies are zero-sum at the top: there is one Olympic gold medal in each event, one world record holder at any moment, one starting spot on a roster. No amount of compute can dilute the supply of a sub-four-minute mile, because the constraint is not information but biology, training, and time. You cannot generate a champion the way you generate a paragraph.

This has an economic consequence that most market participants have not yet priced. As artificially generated content floods every category, the relative value of outcomes that cannot be generated should rise. Authenticity becomes a premium good. Verification becomes infrastructure. The institutions that can certify that a performance actually happened — and that the person who delivered it is who they claim to be — acquire a function analogous to an assay office or a credit rating agency.

• Verified physical performance under competitive conditions, where outcomes are adversarial rather than generated.
• Time itself: the years of deliberate practice that no model can compress on a human’s behalf.
• Accountability — a named person whose reputation rises or falls with the result.
• Scarcity of position: fixed slots at the top of a hierarchy that cannot be expanded by software.
• Embodied presence: the crowd, the pressure, the shared moment that cannot be downloaded.

There is a paradox in how the labor market is reacting. The same firms deploying automation are paying record sums for elite human talent in fields where performance is measurable and hard to fake — senior engineers who can architect systems, surgeons with exceptional outcomes, and, notably, athletes whose market value has climbed alongside broadcast and betting revenue. Where performance can be verified, capital pays a premium. Where output can be synthesized, it pays less and less.

Editor verification note: the Autor reference should be checked against his published work before print; specific capability claims about named models should be confirmed against the lab’s own documentation.

The question this raises is not whether machines will replace human achievement. They will not, for the simple reason that achievement is defined by human limits and human stakes. The question is whether the financial system will recognize what automation has made scarce. When everything can be manufactured except the measurable excellence of a human being, that excellence starts to look less like entertainment and more like an asset — one whose supply is fixed by effort and whose value is set by the one thing software cannot fake: the truth of the result.

Betting on Athletes, Not Backing Them

There is no shortage of money moving toward athletes. There is a shortage of money moving into them. That distinction is easy to miss because both activities point at the same person, the same stadium, the same split-second outcome. But they are opposites in almost every structural respect, and the gap between them is the conceptual hinge of this entire investigation.

Consider the scale. Sports betting has become one of the fastest-growing segments of the global gambling industry, with legalization spreading across U.S. states and established markets in Europe and Asia expanding into mobile formats. The precise figures shift quarter to quarter and depend heavily on how legal versus illegal wagering is counted, so any single number should be treated with caution. But the direction is unmistakable: an enormous, industrialized, venture-funded apparatus now exists to let people place money on what an athlete will do.

Now consider the reverse flow. How much capital exists to help that athlete train, recover, relocate, hire coaching, manage injury risk, or finance the lean years before professional income arrives? For the vast majority of competitors worldwide, the answer is close to nothing. Prize money is concentrated at the top of every sport. Sponsorship follows visibility, not potential. Most elite and near-elite athletes, particularly in lower-profile disciplines, fund their own development or rely on family, federations, or small grants.

The asymmetry is striking once you name it plainly. Hundreds of billions of dollars in wagers circulate around athletic achievement while almost no financial product lets a supporter share in the long-term upside of the athlete’s career. The bettor is paid when the athlete succeeds, but the payment is a function of the wager, not of the achievement. Nothing flows back into the performance itself.

A Worked Example: The Wager and the Investment

Imagine a promising 19-year-old middle-distance runner. A bettor places $1,000 on her to win a major championship at long odds. If she wins, the bettor collects; if she loses, the stake is gone. Either way, the runner’s training budget, coaching access, and medical support are untouched by the transaction. Her success is the random variable that settles someone else’s contract, not the asset being financed.

Now imagine a different structure: capital committed to her development in exchange for a defined share of future earnings over a set period, with transparent reporting and risk sharing. Her improvement is no longer a coin flip for a stranger. It is the underlying asset. The first transaction extracts value from uncertainty. The second supplies value to the person generating it.

Dimension	Betting on athletes	Investing in human performance
Direction of capital	From bettor to operator; athlete receives nothing	From investor to athlete or development program
What is priced	A probabilistic outcome of a single event	The athlete’s long-term performance trajectory
Who bears risk	The bettor (and operator exposure)	Shared between athlete and investor
Return source	Wager payoff	Share of future earnings or value created
Effect on performance	None; the event happens regardless	Direct: funds training, health, coaching
Time horizon	Minutes to months	Years
Incentive alignment	Opposed to the athlete’s competitors	Aligned with the athlete’s success

Why the Betting Model Won the Race

The reasons betting scaled and athlete financing did not are largely structural, not moral. Betting settles instantly and unambiguously: a result is observable, a payout is computable, and the operator’s margin is known in advance. Investing in a human career is the opposite. Outcomes are slow, ambiguous, and shaped by injury, motivation, coaching changes, and luck. Valuation is hard. Enforcement across borders is harder. Regulatory frameworks for such arrangements are patchy and vary widely, and in some jurisdictions the legality of revenue-sharing or financing arrangements with individual athletes is genuinely unsettled.

There are also fairness questions that any serious effort must confront. If investors hold claims on a young athlete’s future earnings, what protections exist against exploitation, predatory terms, or pressure to compete while injured? How is informed consent guaranteed for a teenager making a decades-long commitment? These are not reasons to dismiss the idea. They are the reasons it has not been built, and they explain why the betting industry, whose customer is the spectator rather than the athlete, faced far fewer of them.

Sports business coverage has tracked the betting boom closely, but far less attention has gone to the athlete-side economics: the financing gap between talent and opportunity. That gap is where the next section of this story begins, because the same pattern that appears in betting shows up across the attention economy more broadly. Systems that reward watching performance have scaled enormously. Systems that reward producing it have not.

Which raises the question the rest of this feature pursues: in an economy that has learned to monetize attention around human achievement with extraordinary efficiency, why has it never learned to finance the achievement itself. The answer, as we will see, lies partly in how modern media rewards outrage over excellence, and partly in a deeper puzzle about what kinds of value the financial system has been built to recognize.

The Attention Economy Rewards Outrage, Not Excellence

Consider a small experiment that plays out millions of times an hour. Two posts appear on the same platform at the same moment. The first is a video of a teenage sprinter running a personal best in an empty stadium, filmed by a coach on a phone. The second is a forty-second clip of two strangers shouting at each other about politics. Both are original, both are real, and both are competently made. Within an hour, the algorithm will almost certainly have promoted the argument and let the sprint quietly expire. Nothing about this outcome reflects a judgment that conflict is more valuable than athletic excellence. It reflects a judgment that conflict is more engaging, and engagement is what the system was built to maximize.

That single design choice, replicated across every major platform, has produced a structural bias in what society rewards. The attention economy is not a conspiracy; it is an incentive machine. Content that provokes anger, fear, or tribal identification holds eyes longer than content that provokes admiration. Advertising revenue follows time on screen. Recommendation systems learn from click-through and watch time, and they learn fast. Outrage is not a bug in this architecture. It is the rational output of a system trained to measure capture rather than quality.

The consequences compound. Spectacular conflict outcompetes patient excellence because excellence often requires context, and context is friction. A world record needs a stopwatch, a certified course, a sanctioning body, and a viewer willing to understand why 9.58 seconds matters. A feud needs nothing but a camera. Over time, the asymmetry doesn’t just shape what goes viral; it shapes what gets funded, what gets covered, and what young people conclude is the fastest route to visibility.

It is worth being precise about what a performance economy would mean, because the phrase risks sounding like a slogan. In practical terms, it describes a system in which capital allocation is tied to verified, comparable, independently measured results rather than to narrative momentum. A performance economy would not eliminate speculation or storytelling. It would change what gets priced. Capital would flow toward documented trajectories: a swimmer shaving tenths off a personal best across a season, a distance runner whose training load and race times are tracked over years, a young competitor whose rankings are publicly verifiable rather than self-reported.

Dimension	Attention Economy	Performance Economy
Primary metric	Time on screen, clicks, shares	Verified results against a standard
What gets rewarded	Conflict, novelty, emotional arousal	Improvement, consistency, excellence
Who decides	Recommendation algorithms, ad markets	Measurement bodies, independent observers
Capital logic	Fund what captures attention	Fund what demonstrates measurable merit
Failure mode	Outrage fatigue, erosion of trust	Thin liquidity, measurement disputes

The contrast is not hypothetical. It already operates in miniature inside professional sport, where scouts and analytics departments run something like a performance-economy logic on a small scale. A cycling team evaluating a young rider does not ask how many followers she has. It looks at power output per kilogram, race results against comparable fields, and durability across a season. Front-office analytics in baseball and basketball follow similar discipline, weighting verified performance data over reputation and highlight reels. These are narrow, privately funded pilots, constrained by the budgets of a few dozen organizations. But they demonstrate that measurable merit can be evaluated rigorously when the incentive to do so exists.

The uncomfortable implication is that the bias toward outrage is not a failure of information supply. There is more excellent human performance visible today than at any point in history. It simply loses the auction. A performance economy would not need to invent new heroes; it would need to build the financial and institutional plumbing that lets capital recognize what the stopwatch already knows.

Talent Without Infrastructure: The Untapped Resource

Drive out past Eldoret, in Kenya’s highlands, before the sun clears the escarpment, and the roads are full of runners. They come in packs of twenty and forty, moving through the thin air at altitude, training on dirt tracks and hillsides with no sponsor logos and no timing mats. It is one of the most concentrated reservoirs of elite athletic capability on earth. It is also, by the standards of global finance, essentially invisible.

Kenya has dominated distance running for decades, winning more Olympic and World Championship medals in middle- and long-distance events than any other nation. It has produced dozens of marathon world record holders, and its runners have claimed an extraordinary share of the world’s major marathon victories. Yet the financial infrastructure around that talent is thin: scattered agents, a handful of management companies, prize money that arrives in lump sums, and almost no domestic market for investing in what these athletes can do.

This is not a story of missing talent. It is a story of missing plumbing.

Economists have long spoken of the «resource curse»: countries rich in oil or minerals that fail to convert extraction into durable prosperity. The phrase is usually applied to what lies beneath the ground. But athletic talent behaves in a structurally similar way. It is abundant, geographically concentrated, valuable on global markets, and often exported in raw form. Athletes are developed locally and then value is captured elsewhere, in endorsements, media rights, and sponsorships negotiated in London, New York, and Zurich. The producer keeps the training camp; the market keeps the upside.

The analogy has obvious limits. Oil is finite and passive. Talent is human, uneven, and requires consent, care, and fair dealing. Any framework that treats athletes as a natural resource to be securitized and extracted risks repeating exactly the patterns it claims to correct. That caution should be kept in view throughout.

What is missing is not enthusiasm. It is capital access, coaching pipelines, and the financial instruments that let long-term value compound instead of evaporating. A young Kenyan runner with world-class potential may train without adequate nutrition, medical support, or retirement planning. Prize money, when it comes, is irregular and taxed on both ends. Formal insurance for injury is rare. There is little ability to borrow against future earnings. The result is that athletes move forward without capital buffers, and progress depends on winning before the savings run out.

Similar patterns appear across the Global South. Jamaica has produced sprint champions through a dense school and club system, with high profile success, but limited local financial infrastructure to structure that talent as an asset class. Parts of West Africa produce football talent for European leagues with extraordinary frequency, yet the development pipeline tends to export the player early and capture little long-term economic value domestically. In Brazil, football academies function as both community institutions and informal capital allocators, matching talent to opportunity through networks rather than markets.

Development economists have increasingly argued that human capital, not physical capital, is the binding constraint on growth in low-income countries. The standard measures focus on education and health. Athletic talent sits outside those frameworks, in part because sport has been treated as culture rather than industry. Yet global sport is a trillion-dollar sector, and the supply side of elite performance remains concentrated in places with little say in how its value is priced.

The question, then, is not whether developing nations are rich in athletic talent development potential. It is whether human performance can become a form of economic development that benefits the athletes and communities who produce it. Any serious answer would need to begin with infrastructure that respects the dignity of the people involved: transparent contracts, fair risk-sharing, and financial tools that let talent grow rather than only exit.

Why Abstract Assets Win: Meme Stocks, Crypto and Financial Engineering

If you want to understand the absurdity at the heart of this story, follow the money into its strangest corners. In January 2021, a cohort of retail traders organized on a message board drove GameStop, a struggling mall video game retailer, up more than 1,000 percent in a matter of weeks, briefly making it one of the most traded equities on earth. The trade had almost nothing to do with the company’s earnings, its stores, or its future. It had to do with narrative, coordination, and the sheer electricity of a shared bet. A few months later, a joke cryptocurrency featuring a Shiba Inu dog reached a market capitalization that at its peak exceeded that of many established corporations.

These are not anomalies. They are signals. Capital in the twenty-first century is increasingly comfortable flowing toward assets whose value is difficult to describe in any conventional sense — assets that are abstract, reflexive, and sustained largely by collective belief. Meanwhile, a verified world record, an Olympic medal, or a decade of documented athletic ascent attracts almost no direct investment at all. The contrast is not a curiosity. It is a map of what modern finance has learned to price and what it has never bothered to try.

The mechanics of this preference are worth unpacking, because they are less mysterious than they appear. Financial engineering — the practice of slicing, repackaging, and recombining cash flows into tradable instruments — has spent forty years making more and more of the economy investable. Securitization turned mortgages into bonds. Derivatives turned volatility into a product. Exchange-traded funds turned baskets of almost anything into a single ticker. Leverage, meanwhile, lets a small amount of capital control a very large position, amplifying both returns and the stories investors tell about them.

The pattern is consistent: finance builds infrastructure where there is a cash flow to wrap, a contract to standardize, and a settlement mechanism to trust. Abstraction, counterintuitively, makes this easier. A token has no locker room, no injury risk, no governing body, no nationality, and no childhood. It exists entirely inside the rails that finance already knows how to build. A human career, by contrast, is messy, jurisdiction-dependent, and legally complicated in ways that have historically discouraged product designers.

Consider the scale of the divergence. According to the Bank for International Settlements and industry trackers, the global derivatives market notional outstanding runs into the hundreds of trillions of dollars — many multiples of global GDP — while the total pool of capital explicitly dedicated to developing individual athletic performance remains, by any reasonable estimate, a rounding error against it. Meme stocks, crypto speculation, and structured products command armies of analysts, lawyers, and exchanges. A promising eighteen-year-old sprinter in a country without a functioning capital market commands none.

This is not simply a story about speculation or greed. Speculation is as old as markets, and some of it performs a genuine price-discovery function. The deeper issue is architectural. When the cost of building a product around an abstraction falls — as it has with tokenization, fractional ownership, and twenty-four-hour trading — more capital migrates toward whatever is easiest to structure. Verifiable human achievement sits on the wrong side of that ease calculation, not the wrong side of value.

• Meme stocks showed that narrative and coordination can move billions without any change in underlying business fundamentals.
• Crypto speculation demonstrated appetite for assets whose value rests on consensus and scarcity rather than cash flow.
• Leverage and securitization expanded the range of things finance could package — provided the cash flows were legible to the system.
• Human achievement, though measurable, has historically lacked the legal and settlement infrastructure that abstract assets already enjoy.

The result is a market that has become extraordinarily good at investing in representations of value and comparatively poor at investing in the sources of it. For readers new to how these instruments actually work, our explainers on market structure and [investing fundamentals](/investing-explainers) walk through the mechanics. But the mechanics only deepen the question this series keeps returning to: if finance can build a market for a dog-themed token in a weekend, why has it never built one for the thing it claims to admire most — measurable human excellence?

Human Performance as Digital Gold

Every monetary system rests on a simple question: what can be created at will, and what cannot? Governments can print currency. Central banks can expand balance sheets. Commercial banks create credit every time they issue a loan, effectively manufacturing deposits from a signature. In the past two years, generative AI has added a fourth printing press, producing text, images, code and research at near-zero marginal cost. Each of these forces inflates the supply of something that once felt scarce: money, credit, content, even truth itself.

Against that backdrop, the case for human performance as a store of value begins to look less eccentric. No treasury, bank or model can manufacture a world record. No balance sheet expansion produces an Olympic champion. The supply of a sub-nine-second hundred meters, a sub-two-hour marathon, a perfect season, is governed not by policy but by biology, training and will. That asymmetry — infinite issuance of abstractions against an inelastic supply of verified human excellence — is the intellectual core of what might be called the digital gold thesis.

Gold earned its monetary role for related reasons. It is scarce, durable, fungible and costly to extract. Central banks still hold roughly a fifth of the metal ever mined in their vaults, a quiet hedge against the very institutions that store it. Human performance mimics some of these properties and fails at others, and honesty requires distinguishing which is which.

Property	Gold	Human performance
Scarcity	Fixed above-ground stock, slow extraction	Records are individually unique but can be broken by successors
Durability	Effectively permanent	The record persists; the body decays
Fungibility	High — an ounce is an ounce	Low — a champion is not interchangeable with another
Verifiability	Assayable, standardized	Depends on timing, conditions, anti-doping and governance
Issuance control	Mining supply, central bank sales	No issuer — the achievement itself is the asset

The fungibility gap is the thesis’s weakest point, and it deserves to be stated plainly. Gold’s power is that one unit equals another. Human achievement is the opposite: non-fungible by nature, tied to a name, a date and a body. That makes it a poor medium of exchange. But a store of value does not require fungibility. It requires credible scarcity and verifiable provenance — and on verifiability, sports may be stronger than most asset classes. A record is timed to the hundredth, witnessed, broadcast and adjudicated. Compare that to an off-balance-sheet derivative or an unregistered token, whose provenance is often a legal fiction.

There is a deeper parallel. When the Bretton Woods system collapsed in 1971, the dollar became a fiat claim backed by institutional credibility rather than metal. The decades since have seen successive experiments in alternative stores of value, from inflation-linked bonds to bitcoin, which its advocates call digital gold precisely because its supply is capped and its issuance rule-bound. Human performance shares the rule-bound quality: the clock does not negotiate. Unlike bitcoin, however, no one can fork an athlete.

The weaknesses are real. Performance records can be broken, diluting the value of any single mark. Governance is fragile: doping scandals, judging controversies and event cancellations can undermine the credibility on which everything depends. And there is no historic track record of achievement functioning as a stored asset, only as a spectacle and, increasingly, a betting line. The thesis is plausible, not proven.

Still, the comparison sharpens the paradox at the heart of this investigation. Society has built elaborate machinery to store value in things that can be conjured — credit, tokens, synthetic exposure, generated content — while leaving the one class of value that cannot be conjured almost entirely unpriced. That is not an argument that the world is irrational. It is an observation that the infrastructure for pricing human achievement has simply never been built.

Community, Loneliness and the Last Shared Scoreboard

In January 2025, the World Health Organization’s Commission on Social Connection published a report estimating that roughly one in six people worldwide experiences loneliness, and that loneliness is associated with an estimated 871,000 deaths each year. The numbers are sprawling and imprecise, as numbers about loneliness tend to be, but the direction is not in dispute. The Harvard Study of Adult Development, which has tracked men and their families since 1938, has concluded that the quality of relationships is a stronger predictor of health and happiness than wealth, fame, or professional success.

Alongside this private ache sits a public one. Membership in civic organizations, church attendance, union participation, and face-to-face socializing have all declined across wealthy societies over the past half century. Robert Putnam’s «Bowling Alone» documented this retreat from shared institutions; later research by economists including Patrick Sharkey shows that the volunteer groups and neighborhood associations that once buffered communities against violence have thinned. People have not stopped wanting to belong. They have lost the places that used to organize belonging for them.

What remains, improbably, is sport. On a September Saturday in Tuscaloosa or a Sunday night in Buenos Aires, in a Lagos viewing center or a Punjab village square, strangers become a public. They share a score. They share a set of heroes. They share the sharp, involuntary grief of a last-minute defeat and the equally involuntary joy of a comeback, and because those feelings are synchronized, they are multiplied. In a world where many shared systems have frayed, sport still functions as a cross-cultural trust system—one of the last places where people from different classes, politics, and continents agree on what happened.

This matters to the economics because community is not decorative. It is the substrate on which any new market for human achievement would have to stand. Financial markets depend on recognized proof and on a public willing to care about it. We already care about performance. The evidence is in the stands, the group chats, the flags taped inside apartment windows.

The emotional stakes are not separate from the argument; they are the argument’s fuel. A market for human achievement would need collective attention, legitimate judgment, and public faith in results. Sport is one of the last institutions still generating all three at scale. That makes it more than entertainment. It makes it, possibly, the closest thing we have to a functioning market in human performance—a market that trades in meaning rather than wagering, and that has quietly held a fractured world together for another week.

Locked Out: A Generation Seeking Another Path

There is a specific arithmetic to being young in the 2020s, and it does not favor patience. House prices in most major Anglophone metros have outrun wage growth for the better part of two decades. Rents absorb a share of income that would have been unthinkable a generation ago. Student debt loads in the United States sit in the trillions, and in much of Europe and Asia the entry costs to a first home now stretch well past a decade of median savings. The old script — study, work, buy an asset, watch it appreciate — has quietly stopped functioning for a large minority, perhaps a majority, of people under forty.

This matters for the question this feature has been circling. If capital is going to flow toward measurable human achievement rather than only toward abstractions, the people most likely to want that are the ones who have been shut out of everything else.

Consider what is actually owned by whom. Homeownership among younger adults in the United States and United Kingdom has fallen markedly from where it sat for the baby-boom cohort at the same age, even after adjusting for the widely cited Millennial catch-up of recent years. Financial asset ownership is even more concentrated: equities and funds are held by a minority of households, and the top decile holds the overwhelming share of the value. For a twenty-eight-year-old without family property to inherit, the realistic paths into wealth creation are narrow — a retirement account funded slowly, an index fund bought in small increments, or a speculative bet. The speculative bet is the one the culture advertises.

Meanwhile the costs of participating in legitimate ownership have risen. Brokerage access is cheap, even free, but the assets themselves are expensive relative to earnings. Deposit requirements for homes have climbed. The result is a generation that is financially literate, digitally fluent, and structurally under-invested — a cohort with appetite for ownership but few legitimate objects to own.

This is the context in which investing in human potential becomes a live question rather than a thought experiment. If the only things available to buy are increasingly abstract — tokens, memes, leveraged derivatives — then the appeal of an asset tied to something verifiable, something you can watch on a track or a court, is not irrational. It is a search for legibility.

But the tradeoffs deserve equal weight. An asset tied to an athlete’s performance is exposed to injury, to career length, to the instability of governing bodies and to the whims of selection committees. It may be illiquid. It may be regulated unpredictably. It may simply be a harder way to lose money than a meme stock. And there is a deeper risk: turning young athletes into financial instruments can exploit exactly the populations it claims to empower, extracting value from talent rather than building it. Any version of this idea that does not put capital into training, health and opportunity — and not merely into a tradable claim on outcomes — would deserve the skepticism it would surely receive.

Still, the question is worth asking plainly, the way a young person might ask it: if I cannot buy a house, and I do not trust the tokens, is there a way to put money behind something that is genuinely earned? No one has yet demonstrated a durable answer. The experiment is running. Whether it becomes a new route into wealth creation or another clever abstraction is, for now, unresolved.

Three questions readers tend to raise about this idea, and honest answers where answers exist.

• Isn’t this just gambling with extra steps? The distinction turns on where the money goes. A wager transfers value between parties based on an outcome. An investment in performance would, in principle, fund the training, coaching and support that produce the outcome. If the capital does not reach the athlete, the distinction collapses.
• Would young investors actually be protected? Unclear. Every new asset class begins with weak disclosure and thin liquidity. The burden is on any framework to show that participants understand what they own and that athletes are not the ones left holding the risk.
• Does this really help people locked out of ownership? Only if it is accessible, transparent and small-ticket. A market that requires institutional minimums would simply reproduce the exclusion it claims to address.

None of these questions has a settled answer. That is precisely why the next section — the only one in which this article turns to a specific experiment — should be read with caution rather than enthusiasm.

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ASM and the Sunrise Athlete: An Experiment Worth Watching

Every market described in this article exists because someone built the plumbing: clearinghouses, contracts, registries, settlement rails. Human achievement has no such plumbing, and that absence, more than any philosophical objection, explains why performance remains an untradeable asset. The question is no longer whether the idea is interesting. It is whether anyone can construct infrastructure credible enough to price it.

One of the more curious attempts to answer that question goes by the name ASM. It should be stated plainly at the outset: ASM is an early-stage framework, not a proven market, not a recommendation, and not a solution to anything. There is no historical performance to evaluate, no established regulatory track record to cite, and no evidence yet that the model can attract sustained capital at scale. Readers should treat it the way they would treat any experiment in an unfamiliar terrain: with interest, and with the appropriate skepticism.

What makes ASM worth a paragraph or two is the specific gap it targets. Rather than betting on outcomes, the framework is oriented toward building financial infrastructure around measurable athletic achievement, the kind of verified performance data that already exists in timing systems, competition records, and ranking bodies. That is a materially different proposition from a sportsbook. A wager transfers money between parties based on what an athlete does; infrastructure would attempt to organize capital around the achievement itself. Whether that distinction can be made economically meaningful, rather than merely rhetorically neat, is precisely the unresolved question.

The challenges are obvious and serious. Achievement must be defined precisely enough to be contractible. Data must be verified by parties with no incentive to manipulate it. Governance must survive the moment a market moves real money and participants discover how to game the metric. Regulators will ask hard questions about whether the underlying asset is a security, a derivative, or something else entirely. And the deeper test is cultural: whether anyone actually wants to hold exposure to human performance rather than simply watch it. Frameworks like ASM have to answer all of these at once, and most experiments of this kind fail. That is the honest baseline.

Yet the experiment is intriguing precisely because it takes the article’s central question seriously. If human achievement is the scarce asset this century has overlooked, someone eventually has to try to build a market for it, however imperfectly, and the attempt itself will reveal whether the concept is viable or merely romantic.

It is 5:40 a.m. in a city where the stadium lights are still off. A young middle-distance runner is on a cinder track, breathing hard, working through the fourth repetition of a session nobody will watch. There is no ticker for what she is doing. No order book prices her split times. Meanwhile, screens in London, Singapore and New York are moving trillions of dollars through instruments that have no physical form, no lungs, and no early mornings. The contrast is not sentimental. It is structural. One side of that ledger is endlessly reproducible; the other is not.

Whether that asymmetry ever becomes an asset class is not a forecast this article can make. It is a question the market has not yet been asked to answer, and the sunrise athlete, still unseen, will not be the one to decide it.