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Economist Steve Hanke Warns AI's High Costs Will Limit Job Displacement

Steve Hanke argues that AI's massive resource demands make it far from free, and that replacing workers with AI will often be too expensive for businesses.

Steve Hanke, a veteran economist who once served on President Reagan's Council of Economic Advisers, told one outlet that the notion of AI being free and endlessly scalable is unrealistic and stems from flawed economic reasoning. He emphasized that AI models consume vast quantities of water, power and high-end graphics chips, prompting tech giants such as Microsoft, Alphabet, Amazon and Meta to plan roughly $700 billion in capital expenditures this year and a projected $1 trillion by 2027.

Hanke warned that businesses will not wholesale replace staff with AI when the cost of building and running data centers exceeds the price of human labor. He criticized many AI advocates as “charlatans and hucksters,” noting that unlike traditional software, AI services incur ongoing resource costs. While optimists cite future efficiency gains, Hanke and other skeptics like Mark Cuban and Michael Burry highlight the central role of Nvidia and the risk that the AI boom could falter if spending spirals out of control.

Why it matters

Understanding AI's true cost challenges overly optimistic job-loss forecasts and informs policy and investment decisions.

In this story

AI costsresource intensivecapital expendituresjob displacementtech giantsdata centersNvidiaeconomic reasoning