Marco Iansiti

Timeline

1. 1983–1988

   Physics at Harvard

   He earns an A.B. in physics at Harvard in 1983 and completes a physics Ph.D. there in September 1988. His dissertation studies experimental low-temperature electronics and semiconductor microfabrication.

2. 1988–1989

   An IBM postdoctoral fellowship

   He receives an IBM postdoctoral fellowship for 1988–1989 and researches the design and fabrication of next-generation microelectronic devices at Harvard.

3. 1997

   Turning research into products

   With Jonathan West, he publishes “Technology Integration: Turning Great Research into Great Products” in 1997. He argues that rapidly translating R&D into products that satisfy market needs improves R&D productivity and speed.

4. 2004

   Strategy as Ecology

   With Roy Levien, he publishes “Strategy as Ecology” in 2004 and argues that loose business networks of suppliers, distributors, and technology providers affect how companies create and deliver their offerings.

5. 2009

   One Strategy

   He coauthors One Strategy with Steven Sinofsky in 2009, a book about aligning an organization around one strategy.

6. 2015

   Leading HBS's Digital Initiative

   In 2015, he serves as faculty chair of HBS's Digital Initiative and heads its Technology and Operations Management unit. The initiative focuses on the economics and strategy of digital change and how organizations need to adapt.

7. 2020

   Competing in the Age of AI

   With Karim R. Lakhani, he publishes Competing in the Age of AI in 2020. They argue that analytics and AI reshape the products firms offer and the way they operate.

8. As of October 2026

   Trustworthy AI Lab and Keystone

   As of October 2026, he is a principal investigator in the Trustworthy AI Lab at the Harvard Business School AI Institute and David Sarnoff Professor of Business Administration at HBS. In January 2026, he serves as Keystone's cofounder and Board Chairman and chairs its Global Strategic Advisory practice; his research examines AI's impact on strategy, business, and operating models. In January 2026, Keystone announces a spin-off of its Deep Enterprise AI platform into a new independent software company called Keystone AI.