U.S. Economic Inequality

The most frequently cited dynamic across all respondents is that AI will likely increase the returns to capital and suppress the value of human labor, and that this dynamic will result in more concentrated wealth among asset owners. Most high-inequality respondents treat this as the dominant mechanism: "If capital and labor become easy substitutes, I would expect returns to capital to go up a lot, which naturally increases the amount of wealth owned by the wealthiest." Stable-inequality respondents generally do not dispute the direction but argue the magnitude is overstated. One writes that roughly "80% of all assets in rich countries are either 1) housing or 2) pension funds. That is, most of wealth is owned by ordinary working, middle-class people. Rising asset prices will accordingly benefit the masses."

The second most common theme is whether governments, responding to political backlash, will intervene to counteract concentration. Many stable-inequality respondents argue that they will: "If wealth inequality skyrockets, we may see changes in capital taxation to redistribute the gains from AI." High-inequality respondents tend to discount this possibility, at least in the near term: "I do not assume that the United States, for example, will introduce a universal basic income or substantially higher taxation to offset these effects." Several respondents note this makes the question "more a political question than an AI one."

Many stable-inequality respondents anchor on the historical base rate, which one observes has been "remarkably stable in the area of 70%, with some ups and downs," whereas high-inequality respondents tend to argue that AI represents a structural break, pointing again to the capital over labor dynamic: "AI is a technology that heavily favors people that have capital. This means that capital concentration will increase radically." Echoing that sentiment, another writes that "the top 10% of US households own the vast majority of equities and business equity" and that an AI-driven stock boom will lead to a "massive concentration of wealth at the top."

Several respondents across both poles reference an implicit upper bound on wealth concentration imposed by the need for social cohesion. One writes: "I expect there is probably some sort of ceiling to wealth concentration, beyond which social unrest (whether peaceful or violent) takes hold and restores things to some extent." High-inequality respondents sometimes acknowledge this but a few argue AI-enabled control measures could raise that ceiling: "Civil unrest will be harder to realize given AI can be harnessed very effectively to subdue people."

Relatedly, a notable subset of respondents across both poles agree that rapid AI progress introduces extreme uncertainty, but disagree on the direction. High-inequality respondents tend to think that "if we're experiencing more progress, we're likely experiencing more income/power inequality" and that this could lead to social instability. Some stable-inequality respondents, however, argue the opposite—that rapid progress could actually reduce inequality through abundance or disruption: "Slower progress could concentrate wealth more. Faster, disruptive, broader growth could spread gains more widely and lower the top share."; "As AI democratizes knowledge, there will be more social mobility…"

High-inequality respondents often cite the concentrated structure of the AI industry as an amplifier: "AI will clearly favour wealth concentration in the hands of the AI owners, which will be a very small group. The smarter the AI, the greater the concentration." But some stable-inequality respondents point to the potential for competitive dynamics and creative destruction to limit permanent concentration. As one writes, "OpenAI, Anthropic, Google and Meta are just one or two Chinese open weight models away from the bankruptcy of their AI businesses." Another points to the potential for an AI "bubble that has been financed by members of the top 10%" to "blow up."

A less frequent but notable difference lies in how respondents interpret the 10% metric provided in the question's parameters. Stable-inequality respondents sometimes argue the question targets too broad a group to see massive shifts. One forecaster points out, "The issue isn't the 10% at the top, it is the 0.1% at the top," and another suggests that "there may be a few trillionaires and a number of billionaires whose wealth has grown because of AI, but the majority of the top 10% may not reap the same benefits." High-inequality respondents rarely make this distinction, generally treating the top 10% as a monolith that will collectively absorb the "lion's share of automation dividends."