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EERN Research

EERN provides a research repository of Federal Reserve content on emerging technologies and the economy, as well as economic research conducted using artificial intelligence and machine learning. An archive of selected research authored or co-authored by Federal Reserve economists can be found on this page.

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Federal Reserve Research: New York
Use of Gen AI in the Workplace and the Value of Access to Training

Ali Hashim, Gizem Kosar, Wilbert van der Klaauw

Federal Reserve Research: Atlanta
How Much Are Firms Spending on AI (and What Will Happen to Headcounts)?

José María Barrero, Nicholas Bloom, Steven J. Davis, Kevin Foster, Brent Meyer, Emil Mihaylov, Michael Navarrete

Federal Reserve Research: New York
Artificial Intelligence and Monetary Policy: A Framework and Perspective on Cyclical Transmission, Structural Transition, and Financial Stability

Simone Lenzu

Federal Reserve Research: Atlanta
Firm Data on AI

Ivan Yotzov, Jose Maria Barrero, Nicholas Bloom, Philip Bunn, Steven J. Davis, Kevin M. Foster, Aaron Jalca, Brent H. Meyer, Paul Mizen, Michael A. Navarrete, Pawel Smietanka, Gregory Thwaites, Ben Zhe Wang

Federal Reserve Research: Board of Governors
Validating Large Language Model Annotations

Anne Lundgaard Hansen

Federal Reserve Research: New York
Do Job Postings Show Early Labor Market Effects of AI?

Richard Audoly, Miles Guerin, Giorgio Topa

Federal Reserve Research: San Francisco
AI-Powered Algorithmic Pricing and Monetary Policy

Greeshma Avaradi, Zheng Liu, Steven Zhao

Federal Reserve Research: Board of Governors
Generative AI: What Type of Technology?

Martin Neil Baily, David M. Byrne, Aidan T. Kane, Paul E. Soto

Federal Reserve Research: Minneapolis
Trade in AI-Related Products

Michael E. Waugh

Federal Reserve Research: Atlanta
Automation, Learning, and Career Dynamics

Hassan Afrouzi, Andres Blanco, Andrés Drenik, Erik Hurst

Federal Reserve Research: Board of Governors
Quantifying Deregulation and its Economic Effects: A Large Language Model Approach

Danilo Cascaldi-Garcia, Matteo Iacoviello

Federal Reserve Research: San Francisco
Is Optimism for Artificial Intelligence Boosting Investment?

Aakash Kalyani, Huiyu Li

Federal Reserve Research: Kansas City
A New U.S. Productivity Chapter? What Industry Data Say About AI

Nida Çakır Melek, Sydney Miller

Federal Reserve Research: New York
AI and Scale: A Quantitative Task-Based Theory of Automation

Danial Lashkari, Wensu Li, Christina Qiu, Neil Thompson

Federal Reserve Research: New York
Discussion: “We Won’t be Missed: Work and Growth in the Era of AGI” by Pascual Restrepo

Neil Thompson, Danial Lashkari, Omeed Maghzian

Federal Reserve Research: Atlanta
Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives

Salomé Baslandze, Zachary Edwards, John R. Graham, Ty McClure, Michael Sparks, Brent Meyer, Sonya Ravindranath Waddell, Daniel Weitz

Federal Reserve Research: Dallas
How AI Debt Financing Impacts Duration Supply and Interest Rates

Hugo De Vere, Srini Ramaswamy, Seth Searls

Federal Reserve Research: Board of Governors
AI and Coder Employment: Compiling the Evidence

Leland D. Crane, Paul E. Soto

Federal Reserve Research: New York
Artificial Intelligence and Monetary Policy: A Framework and Perspective on Cyclical Transmission, Structural Transition, and Financial Stability

Simone Lenzu

Federal Reserve Research: Board of Governors
The AI-GPR Index: Measuring Geopolitical Risk using Artificial Intelligence

Matteo Iacoviello, Jonathan Tong