Rob Seamans
Associate Professor of Management and Organizations
Director, Center for the Future of Management
Department: Leonard N. Stern School of Business
Colleges / Universities: New York University
Contact
Kaufman Management Center
44 West Fourth Street, 7-58
New York, NY 10012
Email: rcs10@stern.nyu.edu
Website: New York University faculty profile
Professional Website: Robert Seamans
Robert Seamans is an Associate Professor at New York University’s Stern School of Business where he teaches courses in game theory and strategy. Professor Seamans’ research focuses on how firms use technology in their strategic interactions with each other, and also focuses on the economic consequences of AI, robotics and other advanced technologies.
Professor Seamans’ research has been published in leading academic journals and been cited in numerous outlets including The Atlantic, Forbes, Harvard Business Review, The New York Times, The Wall Street Journal and others. He has received funding from numerous organizations including the Hewlett Foundation, the Kauffman Foundation, and the National Science Foundation
In 2015-2016 Professor Seamans was appointed as a Senior Economist at the White House Council of Economic Advisers where he worked on a wide range of policies relating to technology, innovation and entrepreneurship.
Degrees
Ph.D. University of California, Berkeley, 2009
M.A. Economics, Boston University, 2004
M.B.A Yale School of Management, 2001
B.A. Reed College, 1996
Recent Academic Article Summaries
How Will Language Modelers like ChatGPT Affect Occupations and Industries
A method that assesses which occupations will be most affected by artificial intelligence (AI) predicts that advances such as ChatGPT will have significant effects in education and financial services.
Language modeling advances will significantly affect occupations such as teaching and telemarketing.
GDPR and the Importance of Data to AI Startups
Artificial intelligence (AI) requires data for product development. Privacy regulation makes it harder for AI startups to collect and manage data.
Privacy regulation may hinder AI innovation.
The Occupational Impact of Artificial Intelligence: Labor, Skills, and Polarization
A new impact study may be used to measure the effect of progress in artificial intelligence (AI) on specific occupations. Since 2010, progress in AI has had the greatest effect on high-income occupations.
AI may increase inequality between high-income and low-income occupations.
This survey of artificial intelligence (AI) startups shows that new AI systems tend to augment human capabilities rather than to displace human workers. AI systems may create professional, sales, marketing, and management jobs.
Policymakers should ensure that social systems can help workers transition to new roles.
AI and the Economy
Artificial intelligence (AI) and robotics may boost productivity, but might disrupt the labor market. New regulatory and antitrust policies might mitigate harmful effects.
New policies might help ameliorate problems in the labor market caused by AI.
Blog Posts
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