Anil Doshi

Biography
Anil is currently an assistant professor of Strategy and Entrepreneurship at the UCL School of Management. Anil earned his doctorate from the Technology and Operations Management unit at Harvard Business School. He received an A.B. in Economics and Government from Dartmouth College.Prior to joining the doctoral programme, Anil worked in strategy and finance roles at startups and financial services firms. His startup experience included founding a company called introPLAY, which developed community-based services to promote physical activity.
He also worked at Vencast, a financial services startup that matched institutional capital with startups, hedge funds, and private equity funds. In finance, he worked at Ahab Capital Management, a distressed hedge fund, and Donaldson, Lufkin & Jenrette (since acquired by Credit Suisse), where he worked in the Space and Satellite Group.
Research
Anil examines the management of online information environments and digital platforms. As intermediaries that allow multiple sets of users to transact directly, platforms digitise information, communication, and transactions, allowing for near instant availability. Anil is interested in understanding how the acceleration in the aggregation and sharing of information affects firms and platforms.
Anil’s research includes looking at how false information affects organisations and how organisations are managing newly evolving technologies in generative AI. He is interested in how social media has diffused through various industries and how it impacts organisational decisions and strategies.
His research has received several awards and recognitions including the best PhD paper prize and honourable mention for Best Paper at the Strategic Management Society and the Geradine DeSanctis Dissertation Award.
Press
Doshi, Anil R., J. Jason Bell, Emil Mirzayev, and Bart S. Vanneste. 2025. Generative Artificial Intelligence and Evaluating Strategic Decisions. Strategic Management Journal, 46(3), 583–610.
Doshi, Anil R. and Oliver P. Hauser. 2024. Generative artificial intelligence enhances creativity but reduces the diversity of novel content. Science Advances, 10(28): eadn5290.
Doshi, Anil R. and Alastair P. Moore. 2025. Toward a Human–AI Task Tensor: A Taxonomy for Organizing Work in the Age of Generative AI. In F. Csaszar and N. Jia (eds.), The Handbook of AI and Strategy. Forthcoming.