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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 BLOG
Roundtable on AI and Product Development
FEDERAL RESERVE RESEARCH: Board of Governors
CardSim: A Bayesian Simulator for Payment Card Fraud Detection Research
Jeffrey S. Allen
FEDERAL RESERVE RESEARCH: Richmond
Automation and AI: What Does Adoption Look Like for Fifth District Businesses?
Emily Wavering Corcoran, Sonya Ravindranath Waddell
EERN Event
Avi Goldfarb | The Disruptive Economics of AI
FEDERAL RESERVE RESEARCH: Richmond
Artificial Intelligence: Potentials and Prospects
Zhu Wang
FEDERAL RESERVE RESEARCH: Richmond
The Productivity Puzzle: AI, Technology Adoption and the Workforce
Erin Henry, Pierre-Daniel G. Sarte, Jack Taylor
EERN Speech
AI, Fintechs, and Banks
Michael S. Barr
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: Richmond
The Productivity Implications of How CFO Survey Firms are Using AI
Sonya Ravindranath Waddell
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