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A Research Agenda for the Economics of Transformative AI

Erik Brynjolfsson, Anton Korinek, Ajay Agrawal · Communications of the ACM · 21 Oct 2026

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Where this sits in the debate

Direction of the finding as read from the abstract by an AI model (AI-written).

Key takeaway AI-written

Brynjolfsson, Korinek and Agrawal set out a research agenda for the economics of transformative AI. They argue that because AI is advancing faster than economic institutions can adapt, open questions about growth, science and innovation, income distribution, decision making and safety need to be addressed.

The paper in three steps AI-written

Written by an AI agent from the paper's abstract, which is the primary source and is quoted below.

1
The question
Which economic questions about transformative AI most need research as the technology advances faster than institutions adapt?
2
The approach
A research agenda article that sets out open questions rather than reporting new data.
3
The findings
It names economic growth, science and innovation, income distribution, decision making and safety among the fundamental questions that must be addressed.

How to read it: commentary. An argued position by researchers — informed opinion rather than new evidence.

Limitations and counterpoints AI-written

The abstract describes an agenda only; it reports no estimates or empirical results.

Abstract

As TAI advances faster than economic institutions can adapt, fundamental questions about economic growth, science and innovation, income distribution, decision making, safety, and more must be addressed.

About this publication

Academic journal. Published in an academic journal — typically peer-reviewed before publication, though indexing alone doesn't guarantee review depth.

Published
2026 (recently)
Citations
0 (OpenAlex)

0 citations recorded by OpenAlex — too few 2026 papers in this collection for a fair comparison.

2020202120222023202420252026 published

Ajay Agrawal, Anton Korinek, Erik Brynjolfsson signed the wemustactnow.ai letter · author affiliation matches seed institutions stanford, stanford university, university of toronto, university of virginia — part of why this paper is in the collection.

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