AI boom widens US income gap as rich reap stock gains

The surge in artificial-intelligence-driven equities has lifted key stock markets, but the financial windfall is flowing almost exclusively to the nation’s wealthiest households. This concentration of stock-market gains is intensifying a decades-long split between capital owners and wage earners, a development that economists say could destabilise the political climate if left unchecked.

Data from investment bank Goldman Sachs shows that AI-related companies have supplied the bulk of the S&P 500’s price appreciation this year. Because the top 20 percent of U.S. Households own roughly 90 percent of the country’s stock-market wealth, according to Federal Reserve figures, they are the primary beneficiaries of the rally.

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"When wealth concentrates and disaffection spreads, booms end badly."

Top executives from Bridgewater Associates, hedge fund, via Yahoo Finance

That warning sits alongside a chorus of academic concerns. Nobel laureate Daron Acemoglu, who shared the 2024 Nobel Prize in economics for studying prosperity gaps, warned in an email that AI “may create many more billionaires and also reduce the real incomes of many households.”

Acemoglu’s alarm is echoed by Mark Zandi, chief economist of Moody’s Analytics, who links the wealth effect of soaring AI stock prices to divergent spending patterns. Zandi’s analysis shows that over the past three years, spending growth among the richest 20 percent of households has been about three times the rate of the bottom 80 percent.

"AI is driving the spending train and the broader economic train."

Mark Zandi, chief economist, Moody’s Analytics, via Yahoo Finance

Through a combination of higher disposable income and a larger share of investment assets, affluent Americans are spending more on discretionary items—from designer apparel to fine dining—while inflation continues to erode the purchasing power of the majority. Zandi described the situation as nuts while pointing out that richer Americans going gaga on AI-connected stock gains are propping up the entire U.S. Economy.

Regional adoption of AI further reinforces the divide. Research from Anthropic, Brookings, and Oxford Economics indicates that per-person AI usage clusters in affluent metro areas such as the San Francisco Bay Area, New York, Washington, and Seattle. States like Mississippi, West Virginia, and North Dakota lag behind, according to Anthropic’s public data.

Mark Muro, a senior fellow at the Brookings Institution, warns that these patterns will reinforce the existing unevenness of the U.S. Economic map. He adds that high-AI-use locales and businesses may see faster job displacement as firms replace workers with automated tools.

The widening labor-versus-capital split now reaches its smallest share of national income for workers in 79 years, with just over half of total economic output going to wages and benefits, according to Commerce Department figures. While some scholars, such as Michael Strain of the American Enterprise Institute, argue that speculation about AI-driven inequality is premature and note that AI may help more ordinary Americans start their own businesses, others see a clear risk of social unrest. Acemoglu and collaborators have drafted scenarios in which AI-induced job loss and wealth concentration provoke worker revolts.

At the same time, policy responses remain uncertain. Harvard University economics PhD students Guy Lichtinger and Seyed M. Hosseini stress that whether AI becomes a great equalizer or an engine of disparity largely depends on how lawmakers respond.