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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: 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

Federal Reserve Research: Chicago
Firm Growth from the Artificial Intelligence Boom

Joel David, Gustavo de Souza, Adalyn Schommer

Federal Reserve Research: Dallas
Young Workers’ Employment Drops in Occupations with High AI Exposure

Tyler Atkinson, Shane Yamco

Federal Reserve Research: St. Louis
Why AI Advancements May Push Some Workers Out of the Labor Force

Oksana Leukhina

Federal Reserve Research: Board of Governors
Artificial Intelligence Innovation by Financial Innovators: Evidence from US Patents

Jean Xiao Timmerman

Federal Reserve Research: Kansas City
What Do LLMs Want?

Thomas R. Cook, Sophia Kazinnik, Zach Modig, Nathan M. Palmer

Federal Reserve Research: San Francisco
ChatMacro: Evaluating Inflation Forecasts of Generative AI

M. Jahangir Alam, Shane Boyle, Huiyu Li, Tatevik Sekhposyan

Federal Reserve Research: St. Louis
Tracking AI’s Contribution to GDP Growth

Hannah Rubinton, Bontu Ankit Patro

Federal Reserve Research: Board of Governors
Estimating Aggregate Data Center Investment with Project-level Data

Eirik Eylands Brandsaas, Daniel Garcia, Robert Kurtzman, Joseph Nichols, Adelia Zytek