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Arun Sundararajan

Arun Sundararajan

Leonard N. Stern School of Business
Kaufman Management Center
44 West Fourth Street, 8-90
New York, NY 10012

E-mail arun@stern.nyu.edu
Personal website
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Biography

Arun Sundararajan is the Harold Price Professor of Entrepreneurship and Professor of Technology, Operations, and Statistics at New York University’s (NYU) Stern School of Business, and an affiliated faculty member at many of NYU’s interdisciplinary research centers, including the Center for Data Science. His best-selling and award-winning book, “The Sharing Economy,” was published by the MIT Press in 2016, and has been translated into Mandarin Chinese, Japanese, Korean, Portuguese, and Vietnamese.

Professor Sundararajan's research studies how digital technologies transform business, government and civil society. His current focus is on artificial intelligence and intellectual property, generative AI and platform-enabled change, market power and antitrust policy in tech, and the digital future of work. He has published over 50 scientific papers in peer-reviewed academic journals and conferences, and over 40 op-eds in outlets that include The New York Times, The Financial Times, The Guardian, Wired, Le Monde, Bloomberg View, Fortune, Entrepreneur, The Economic Times, Harvard Business Review and Quartz. His scholarship has been recognized by nine Best Paper awards, two Google Faculty awards, an Axiom Best Business Books Award, and a Thinkers50 Radar Thinker Award. He has given hundreds of keynote, plenary and invited talks at industry, government and academic forums internationally. Watch his 2016 Davos panel. He has provided expert input about the digital economy as testimony to the United States Congress, the European Parliament, the United Nations, federal government agencies that include the Presidential Council of Advisors on Science and Technology, the Federal Trade Commission, the National Economic Council, the Federal Reserve Banks of New York, San Francisco and Atlanta, the US Department of Labor and the White House, and numerous state and city legislative bodies. He is a widely sought-after commentator by top media platforms. Keep up with his latest views and opinions.

Arun is a member of the World Economic Forum’s AI Governance Alliance, the Carnegie Council’s Artificial Intelligence and Equality Initiative, and has been a member of the World Economic Forum Global Future Councils on Technology, Values and Policy and the New Economic Agenda. He is an advisor to numerous organizations that include the National Academy of Science, the City of New York, the City of Seoul, Walmart Corporation, Rally Rd., the Female Founders Fund, the Internet Society of China, OuiShare, Samasource, the National League of Cities, and the Royal Society for the Arts. He works with tech companies on issues of strategy, litigation and regulation, and with non-tech companies trying to understand how to forecast and address changes induced by digital technologies. He teaches in executive education programs in the U.S., Europe and Asia about artificial intelligence, platform strategy, the future of work and network science. He teaches undergraduates and full-time MBA students about digital strategy and hi-tech entrepreneurship, and doctoral students about digital economics. He is a selective angel investor.

Research Interests

  • Generative AI
  • Platform Strategy
  • Artificial Intelligence
  • The Future of Work
  • Antitrust in Tech Industries
  • Platform Regulation and Governance
  • Network Effects
  • Computational Social Science
  • The Sharing Economy
  • Copyright and Intellectual Property

Courses Taught

  • Artificial Intelligence, Automation and the Platform Revolution
  • Digital Economics
  • Fintech Platforms
  • Foundations of Generative AI
  • Fundamentals of Technology
  • Network Analytics
  • Networks, Crowds, and Markets
  • Tech and the City

Academic Background

Ph.D., Business Administration
University of Rochester

M.S., Management Science
University of Rochester

B.Tech., Electrical Engineering
IIT, Madras

Areas of Expertise

Company

  • Airbnb
  • Amazon
  • Apple
  • Facebook
  • Google
  • Microsoft
  • Uber

Economics

  • Antitrust & Regulatory Issues
  • Game Theory
  • Internet Economics
  • Sharing Economy

Industry

  • Digital
  • Information Technology

Marketing

  • Social Media

Region/Country

  • China
  • India
  • Japan

Technology, Operations & Statistics

  • Crowdsourcing
  • Internet Law
  • Privacy