A 13% Surge in Billionaires, a Falling Median: The AI Boom’s Wealth Paradox

The numbers are unambiguous, even if their implications remain contested. In 2025, global personal wealth rose at its fastest pace since 2017. Nearly one million new millionaires were minted. The billionaire population swelled by 13 percent. And in most of the 56 markets where the UBS Global Wealth Report tracks outcomes, median wealth — the wealth of the person sitting precisely in the middle of the distribution — actually declined.

That combination, record headline growth alongside falling typical household wealth, is the defining economic signature of the AI boom. It raises questions about the sustainability of an economic narrative built on aggregate progress.

What the UBS Report Found

The UBS Global Wealth Report 2026, released June 30 and built from data spanning 56 markets representing 92 percent of all global wealth, recorded 10.8 percent growth in personal wealth in 2025 — the fastest rate in at least three years. The millionaire population grew by 1.5 percent, adding close to one million people at a pace of roughly 2,680 per day.

More than 440,000 of those new millionaires were American — exceeding 1,200 per day — making the United States responsible for close to half of the worldwide increase. The United Kingdom added more than 43,000 new millionaires, while France, Spain, Japan, and India each added more than 30,000.

The report also counted 3,302 US dollar billionaires, an increase of 383 people, or 13.1 percent, over the prior year. Billionaire wealth grew by 25 percent on average in the year ended in April, compared with a 10.8 percent rise in average personal wealth. James Mazeau, an economist at UBS, attributed the outperformance directly to the AI boom in equity markets.

The Median Paradox

UBS chief economist Paul Donovan acknowledged to Fortune what the headline figures conceal: “There is a concentration of equity wealth into the very highest wealth and income cohorts, which means that periods of strong equity performance will widen the gap between the two.” When asset markets rise and the gains are overwhelmingly held at the top of the distribution, aggregate averages can soar while the typical household experiences stagnation or decline.

The pattern is not incidental. Software and platform businesses scale at close to zero marginal cost, meaning that when an AI-adjacent product wins, it tends to win globally — and the revenue, profit, and equity all funnel into very few hands. The World Inequality Report 2026 sharpened the point with striking precision: just 56,000 ultra-wealthy individuals — the top 0.001 percent — now control more wealth than the poorest 4 billion people on Earth combined. Their share of global wealth has nearly doubled since 1995.

Since 1995, billionaire wealth has compounded at approximately 8.5 percent annually. The bottom half of the global population has grown theirs at roughly 3.4 percent.

The Ultra-Wealthy Tier Accelerates

Altrata, a wealth intelligence firm, tracked a 14.4 percent jump in 2025 in the number of people worth more than $30 million — reaching a record 556,850 worldwide. In mainland China, the $50 million to $100 million cohort has compounded in real terms at nearly 31 percent annually since 2000. The United States’ top 1 percent of households, per the Federal Reserve, now holds approximately 32 percent of the nation’s total wealth — the highest proportion since the Fed began compiling the relevant data in 1989.

Within this hierarchy, the AI trade has functioned as a supercharger. Founders who hold large equity stakes in companies that have benefited from AI-driven market re-ratings have watched their personal wealth compound at the same exponential rates as the underlying businesses. The upcoming major IPOs — SpaceX, Anthropic, and OpenAI — are projected to create a new cohort of billionaires and dramatically expand the existing ultrawealthy population.

The Political Economy of the K-Shape

Bloomberg’s K-shaped economy analysis projected that the divergence between asset holders and wage earners will deepen further. The political consequences are already visible. California Governor Gavin Newsom, in comments reported ahead of a potential 2028 presidential run, proposed a national wealth tax and an initiative to give Americans a direct stake in AI development. Former Amazon CEO Jeff Bezos called for the bottom 50 percent of earners to pay zero federal income tax.

Axios reported that a growing number of tech billionaires are developing prescriptions for AI-fuelled inequality — not from altruism, but from a calculation that populist revolt represents a greater threat to their interests than redistributive taxation. “The pitchforks are here, they’re not just coming,” Newsom warned, predicting that resentment toward billionaires and AI-driven automation will dominate the 2026 and 2028 electoral cycles.

Donovan, the UBS economist, noted that governments are likely to seek to mobilise wealth to lower the cost of debt finance. What that means in practice — wealth taxes, forced investment mandates, or some novel fiscal instrument — remains the defining policy question of the decade the AI boom is creating.