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Artificial Intelligence: Friend, Foe, Fraud

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  • L. Randall Wray

Abstract

The over-hyped Dot.com revolution bubbled and crashed at the end of the 1990s, leaving a largely unused physical and virtual infrastructure that eventually supported the rise of social media that did--indeed--transform life. Not necessarily in a good way. As Robert Gordon famously claimed, you can see the evidence of the digital revolution everywhere except in the data. Still, many billionaires were minted. After nearly a quarter century of growth, it seemed to have run its course until digital tech moved into the payments system promising another revolution based on cryptocurrencies. That, too, was over-hyped until Trump's reelection loosened rules to allow crypto to infect the financial system, targeting in particular the accumulated retirement savings of Americans. More billionaires minted. As P.T. Barnum (purportedly) proclaimed, "there's a sucker born every minute" and they add up but the number is still finite. The latest revolution is AI and it has generated the biggest bubble, by far. We are still in the early stages, but not only is AI almost single-handedly driving the stock market, it is also driving the "real" economy with its investments in data centers. One-hundred and three American billionaires were created since 2024, many of those owing to AI-related stock prices and investments. This paper will look in detail at the claims made for AI, the financial arrangements that are supporting its growth, and the dangers it poses for the US (and global) economies. While some argue that the current bubble looks little like the Dot.com bubble, that is true, but beside the point. The fragile financing of the AI bubble looks much more like the financial shenanigans that crashed into the Global Financial Crisis, and--unlike the Dot.com bubble that left us with a physical infrastructure that would eventually prove useful--the AI bubble will leave behind waste and destruction.

Suggested Citation

  • L. Randall Wray, 2026. "Artificial Intelligence: Friend, Foe, Fraud," Economics Working Paper Archive wp_1107, Levy Economics Institute.
  • Handle: RePEc:lev:wrkpap:wp_1107
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    JEL classification:

    • B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Historical; Institutional; Evolutionary; Modern Monetary Theory;
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • P17 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Performance and Prospects

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