Erik Brynjolfsson

Schussel Family Professor of Management Science
Professor of Information Technology
Director, The MIT Center for Digital Business


Erik Brynjolfsson

Erik Brynjolfsson is Director of MIT’s Initiative on the Digital Economy, Schussel Family Professor of Management Science at the MIT Sloan School, and research associate at the National Bureau of Economic Research. His research examines the effects of information technologies on business strategy, productivity and performance, digital commerce, and intangible assets.

At MIT, he teaches courses on the Economics of Information and the Analytics Lab. He has also taught at Stanford University and Harvard University.

Brynjolfsson was among the first researchers to measure productivity contributions of IT and the complementary role of organizational capital and other intangibles. His research provided the first quantification of online product variety value, known as the “Long Tail,” and developed pricing and bundling models for information goods. Recognized with ten Best Paper awards and five patents, Brynjolfsson’s research has appeared in leading economics, management, and science journals. His papers can be found at

He is the author of several books including, with coauthor Andrew McAfee, the New York Times best-seller The Second Machine Age: Work, Progress and Prosperity in a Time of Brilliant Technologies (2014) and Machine, Platform, Crowd: Harnessing Our Digital Future (forthcoming, June 2017). Brynjolfsson is editor of SSRN’s Information System Network and has served on editorial boards of numerous academic journals as well as the Academic Advisory Council of the Federal Reserve Bank of Boston.

Brynjolfsson holds Bachelor’s and Master’s degrees from Harvard University in applied mathematics and decision sciences, and a PhD from MIT in managerial economics. 

Faculty Media

  • How Should We Measure the Digital Economy?

    New research from Erik Brynjolfsson on how to understand the value of the digital economy.

  • An Economist Explains How To Value The Internet

    Erik Brynjolfsson explains how to measure the value of the digital economy in this interview.

  • The Robots Want To Steal (The Boring Parts Of) Your Job

    According to Erik Brynjolfsson, mass job replacement isn't here. What is imminent is the replacement of parts of jobs through AI but also through robotics.

  • The Key to Growth? Race with the Machines

    As machines take on more jobs, many find themselves out of work or with raises indefinitely postponed. Is this the end of growth? No, says Erik Brynjolfsson -- it’s simply the growing pains of a...

  • Trump Calls for Investment in Artificial Intelligence

    Erik Brynjolfsson weighs in on the American AI Initiative.

  • Wall Street Edge: Why CEOs Are Overpaid

    Why CEOs and senior executives should be evaluated on how they successfully navigate companies through upcoming dynamic technological changes.

  • Debating the 70% Tax on the Rich

    Erik Brynjolfsson weighs in on the proposed "Millionaire Tax"

  • Will Blockchain Transform Emerging Markets?

    Erik weighs in with other experts on whether blockchain will have a transformative effect on finance in emerging markets.

  • Can Industry Self-Regulation Impact Climate Change?

    Erik Brynjolfsson, Scott Stern, and others weigh in.

  • Andrew McAfee & Erik Brynjolfsson: Machine, Platform, Crowd

    Andrew McAfee ​and ​Erik Brynjolfsson are co-authors of the new book “Machine, Platform, Crowd: Harnessing our Digital Future,” being hailed as “a must-read road map” for success in the digital...


Contact Information

Office: E62-414
Phone: (617) 253-4319
Fax: (617) 258-7579
Support Staff
Name: Naomi Stephen
Phone: 617-324-7328

Teaches In

Digital Business Strategy: Harnessing Our Digital Future (self-paced online) Feb 3-Mar 23, 2021 | Apr 7-May 25, 2021 | Jun 9-Jul 27, 2021 | Aug 4-Sep 21, 2021 | Sep 22-Nov 9, 2021 | Nov 17, 2021-Jan 25, 2022

Blockchain Technologies: Business Innovation and Application (self-paced online) Feb 10-Mar 30, 2021 | Apr 21-Jun 8, 2021 | Jun 30-Aug 17, 2021 | Sep 8-Oct 26, 2021 | Nov 17, 2021-Jan 25, 2022

Machine Learning in Business (self-paced online) Jan 27-Mar 16, 2021 | Mar 31-May 18, 2021 | Jun 9-Jul 27, 2021 | Aug 11-Sep 28, 2021 | Oct 27-Dec 14, 2021