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Emerging technologies catalyze changes in our workplaces, homes, and communities – and as a result, in our economy. On this page, you can find economic research and insights on the impacts of emerging technologies as well as economic research conducted using artificial intelligence and machine learning.

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EERN Speech

AI, Fintechs, and Banks

Michael S. Barr

FEDERAL RESERVE RESEARCH: Richmond

The Productivity Implications of How CFO Survey Firms are Using AI

Sonya Ravindranath Waddell

FEDERAL RESERVE RESEARCH: Chicago

How Demand for New Skills Affects Wage Inequality: The Case of Software Programmers

Jacob Herbstman, Jack Mannion, Gustavo De Souza

FEDERAL RESERVE RESEARCH: Philadelphia

Generative AI: A Turning Point for Labor’s Share?

Lukasz Drozd, Marina M. Tavares

FEDERAL RESERVE RESEARCH: St. Louis

Economic Surveillance using Corporate Text

Tarek A. Hassan, Stephan Hollander, Aakash Kalyani, Laurence van Lent, Markus Schwedeler, Ahmed Tahoun

EERN Event

Anton Korinek | The Economics of Transformative AI

FEDERAL RESERVE RESEARCH: Board of Governors

Measuring AI Uptake in the Workplace

Leland Crane, Michael Green, Paul Soto

FEDERAL RESERVE RESEARCH: St. Louis

The Diffusion of New Technologies

Aakash Kalyani, Nicholas Bloom, Marcela Carvalho, Tarek Hassan, Josh Lerner, Ahmed Tahoun

EERN Speech

Artificial Intelligence, Big Data, and the Path Ahead for Productivity

Lisa D. Cook

EERN Speech

Artificial Intelligence: Hypothetical Scenarios for the Future

Michael S. Barr

FEDERAL RESERVE RESEARCH: St. Louis

AI Optimism and Uncertainty: What Can Earnings Calls Tell Us Post-ChatGPT?

Aakash Kalyani, Serdar Ozkan, Mickenzie Bass, Mick Dueholm

EERN Event

Job Matching in the Age of AI

FEDERAL RESERVE RESEARCH: St. Louis

AI Hype or Reality? Shifts in Corporate Investment after ChatGPT

Aakash Kalyani, Serdar Ozkan, Mickenzie Bass, Mick Dueholm

FEDERAL RESERVE RESEARCH: New York

Evaluating End-to-End Entity Linking on Domain-Specific Knowledge Bases: Learning about Ancient Technologies from Museum Collections

Sebastian Cadavid-Sanchez, Khalil Kacem, Rafael Aparecido Martins Frade, Johannes Boehm, Thomas Chaney, Danial Lashkari, Daniel Simig

Research conducted using AI/ML tools

FEDERAL RESERVE RESEARCH: Atlanta

Patents to Products: Product Innovation and Firm Dynamics

David Argente, Salome Baslandze, Douglas Hanley, Sara Moreira

Research conducted using AI/ML tools

FEDERAL RESERVE RESEARCH: Richmond

Simulating the Survey of Professional Forecasters

Anne Lundgaard Hansen, John J. Horton, Sophia Kazinnik, Daniela Puzzello, Ali Zarifhonarvar

Research conducted using AI/ML tools

FEDERAL RESERVE RESEARCH: Board of Governors

Using Generative AI Models to Understand FOMC Monetary Policy Discussions

Wendy Dunn, Ellen E. Meade, Nitish Ranjan Sinha, Raakin Kabir

Research conducted using AI/ML tools

FEDERAL RESERVE RESEARCH: Board of Governors

Reasons Behind Words: OPEC Narratives and the Oil Market

Celso Brunetti, Marc Joets, Valerie Mignon

Research conducted using AI/ML tools

FEDERAL RESERVE RESEARCH: Atlanta

Recent Trends in the Demand for AI Skills

Paul Mohnen, David Lee

FEDERAL RESERVE RESEARCH: Board of Governors

Manufacturing Sentiment: Forecasting Industrial Production with Text Analysis

Tomaz Cajner, Leland D. Crane, Christopher Kurz, Norman Morin, Paul E. Soto, Betsy Vrankovich

Research conducted using AI/ML tools