Marginal REVOLUTION

Public Finance in the Age of AI: A Primer

2026-02-25 · 07:47 UTC ·Tyler Cowen ·1 min read

Brief

Tyler Cowen summarizes Anton Korinek and Lee Lockwood’s 2026 primer on public finance in the Age of AI, which models optimal taxation across two AI-driven stages: initial labor displacement where consumption and differential commodity taxes gain salience, and a later AGI-dominated stage where taxing autonomous systems is treated as an optimal-harvest problem, with tax rates tied to human discounting; the paper assesses robot/compute/token taxes and sovereign wealth funds.

Why it matters

Tyler Cowen (Marginal Revolution, 2026-02-25) summarizes Anton Korinek and Lee Lockwood’s primer arguing TAI could erode the two main tax bases—labor income and human consumption—requiring new fiscal responses.

Key details

  • Korinek & Lockwood model two stages: (1) AI displaces labor so consumption taxation and differential commodity taxes become primary revenue tools; (2) advanced autonomous AGI produces most value, making human-consumption taxes inadequate and framing AGI taxation as an optimal ‘harvesting’ problem whose rate depends on humans’ discount rate.
  • The authors evaluate concrete policy instruments—taxes on robots, compute, and tokens, plus sovereign wealth funds and windfall clauses—as applications of their optimal-tax framework.
Source evidence

title: Public Finance in the Age of AI: A Primer
author: Tyler Cowen
contenttype: article
publication: Marginal REVOLUTION
published: 2026-02-25T07:47:36+00:00
sourceurl: https://marginalrevolution.com/marginalrevolution/2026/02/public-finance-in-the-age-of-ai-a-primer.html?utmsource=rss&utmmedium=rss&utm_campaign=public-finance-in-the-age-of-ai-a-primer

word_count: 216

Transformative artificial intelligence (TAI) – machines capable of performing virtually all economically valuable work – may gradually erode the two main tax bases that underpin modern tax systems: labor income and human consumption. We examine optimal taxation across two stages of artificial intelligence (AI)-driven transformation. First, if AI displaces human labor, we find that consumption taxation may serve as a primary revenue instrument, with differential commodity taxation gaining renewed relevance as labor distortions lose their constraining role. In the second stage, as autonomous artificial general intelligence (AGI) systems both produce most economic value and absorb a growing share of resources, taxing human consumption may become an inadequate means of raising revenue. We show that the taxation of autonomous AGI systems can be framed as an optimal harvesting problem and find that the resulting tax rate on AGI depends on the rate at which humans discount the future. Our analysis provides a theoretically grounded approach to balancing efficiency and equity in the Age of AI. We also apply our insights to evaluate specific proposals such as taxes on robots, compute, and tokens, as well as sovereign wealth funds and windfall clauses. That is from Anton Korinek and Lee Lockwood . The post Public Finance in the Age of AI: A Primer appeared first on Marginal REVOLUTION .