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How Might Fiscal Policy Respond to the Rise of Artificial Intelligence?

Author

Listed:
  • Karen Dynan
  • Douglas Elmendorf
  • Louise Sheiner

Abstract

Artificial intelligence will probably generate major changes in the US economy, although the nature, timing, and magnitude of those changes are highly uncertain. We analyze a set of long-term scenarios involving different combinations of faster productivity growth, greater income inequality, job displacement, and a higher capital share of income. For each scenario, we assess the implications for federal debt and potential policy responses related to faster economic growth, the distribution of income, support for workers who are laid off, and taxation and ownership of capital. Given the uncertainty surrounding AI’s economic effects, policies that are robust to different scenarios would be especially valuable.

Suggested Citation

  • Karen Dynan & Douglas Elmendorf & Louise Sheiner, 2026. "How Might Fiscal Policy Respond to the Rise of Artificial Intelligence?," NBER Working Papers 35437, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:35437
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    More about this item

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • H60 - Public Economics - - National Budget, Deficit, and Debt - - - General
    • H68 - Public Economics - - National Budget, Deficit, and Debt - - - Forecasts of Budgets, Deficits, and Debt
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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