Nobel laureate Joseph Stiglitz warns that the rapid advancement of artificial intelligence poses a significant threat to economic equality, potentially exacerbating existing disparities unless proactively managed by governments and institutions. The economist, whose 2024 book The Road to Freedom: Economics and the Decent Society has recently been reissued, argues that AI’s capacity to automate labor and concentrate profits risks a return to 19th-century levels of inequality.
Stiglitz, in a recent interview with Fortune, characterized AI as a “textbook case” of technology amplifying inequality. “If we don’t do anything about managing AI, there is a threat that it will lead to more inequality,” he said. “And since inequality is such a subpar, serious problem in our society, that is a great concern to me.” He has long studied the failures of capitalism to deliver broadly shared prosperity, including financial crises and the erosion of the American middle class.
A central concern, Stiglitz argues, is the simultaneous push by those benefiting most from AI – whom he terms “tech bros” – to dismantle the governmental structures needed to mitigate its disruptive effects. He views this as a deliberate strategy to minimize regulation and maximize profits. “Unfortunately, the tech bros, who are obviously advocates of this, are at the same time pushing for smaller government, which will undermine the ability of the government to do exactly what is needed in order to create a successful transition,” he stated.
This dynamic, Stiglitz contends, creates a self-reinforcing cycle where reduced government capacity hinders the ability to manage the AI transition effectively. He emphasizes the need for government support to help workers displaced by automation transition to new roles. However, he acknowledges that such regulation clashes with the priorities of many company owners who seek to minimize labor costs, a trend AI promises to accelerate. A technology strategist, Daniel Miessler, has even suggested that the “ideal number of human employees inside of any company is zero.”
The concentration of gains from AI is already becoming apparent. BlackRock CEO Larry Fink, speaking at the World Economic Forum in Davos earlier this year, observed that the initial benefits of AI are accruing to those who own the models, data, and infrastructure. This observation highlights a growing disparity, as the bottom half of Americans hold only approximately 1% of stock market wealth, leaving them largely excluded from these gains. Fink questioned the implications if AI replicates the impact of globalization on blue-collar workers, but extends it to white-collar professions.
Stiglitz drew parallels to the Great Depression, where agricultural productivity increased dramatically but lacked a corresponding mechanism for transitioning displaced rural workers. He noted that government intervention during World War II ultimately addressed this issue, but that a similar institutional framework is currently lacking. Bank of America Institute economists have observed a pattern mirroring the 19th-century Industrial Revolution, with productivity gains translating into corporate profits while labor’s share of U.S. GDP declines.
Recent Gallup polling indicates widespread distrust of AI among American workers, coupled with fears of job displacement, while executives harbor overly optimistic views of their employees’ enthusiasm for the technology. This disconnect underscores the existing gap between those who stand to benefit from AI and those who risk losing out.
In The Road to Freedom, Stiglitz argues that unchecked financial influence in politics leads to policies that favor the powerful, effectively masking inequality as economic freedom. He posits that genuine freedom requires strong institutions capable of curbing concentrated private power and ensuring equitable distribution of economic benefits. He argues that a society where AI exacerbates wealth concentration while limiting opportunity is not truly free, but rather an oligarchy enhanced by technology.
Stiglitz himself utilizes AI as a research tool, framing it as “intelligence assisting” – akin to a microscope or telescope that augments human capabilities. He distinguishes this from AI as a displacement engine, emphasizing that the distinction is political, hinging on control, distribution of gains, and the strength of public institutions. He cautions that economic inequality can readily translate into political inequality, and expressed skepticism that current power structures will prioritize a fair distribution of AI’s benefits.
