Professor Ajay Agrawal
Professor Ajay Agrawal is a researcher, writer, teacher, entrepreneur, business strategy advisor, and speaker. He is currently focused on the economics of machine intelligence.
Ajay Agrawal is the Geoffrey Taber Chair in Entrepreneurship and Innovation and Professor of Strategic Management at the Rotman School of Management, University of Toronto. In addition, he is a Research Associate at the National Bureau of Economic Research in Cambridge, MA.
Professor Agrawal is co-founder and co-chair of two annual conferences on machine intelligence: “Machine Learning and the Market for Intelligence” [applied], and "The NBER Economics of Artificial Intelligence Conference" [scholarly].
Professor Agrawal is a co-author of the best-selling book "Prediction Machines: The Simple Economics of Artificial Intelligence." The book was reviewed or cited in The New York Times, The Economist, Financial Times, Wall Street Journal, McKinsey Quarterly, Forbes, Bloomberg, Globe and Mail, Hindustan Times, The Irish Times, Fortune, San Francisco Review of Books, Fast Company, NPR Market Watch, C-SPAN, Foreign Policy, BBC, among other outlets. He is also co-author of a number of scholarly and popular press articles on the economics of machine intelligence.
Prediction Machines Book: The Simple Economics of A.I.
Awards & Recognition
Professor Agrawal was awarded Professor of the Year seven times by MBA classes at the Rotman School of Management, the Martin-Lang Award for Excellence in Teaching, and the Distinguished Scholarly Contribution Award (2017).
The Globe and Mail named Professor Agrawal to its 2017 “Power 50” list of the most influential Canadians.
The MIT Technology Review named Kindred, an intelligent robotics company co-founded by Professor Agrawal, to their list of The 50 Smartest Companies in the World (2017). CB Insights also included Kindred in their Ranking of the 100 most promising private artificial intelligence companies in the world, the AI 100 (2018).