MIT Sloan Management Review The New Business of Innovation
- The Hidden Cost of AI-Assisted Creativity
by Léonard Boussioux, Anil Doshi, Oliver Hauser, and Kartik Hosanagar. <p>Léonard Boussioux is an assistant professor in information systems and operations management at the University of Washington’s Foster School of Business. Anil Doshi is an associate professor of strategy and entrepreneurship at the UCL School of Management, where he is also the lead on the AI in Education initiative and runs both the Generative AI in Practice Workshop series and the AI Plus Management Consortium. Oliver Hauser is a professor of economics and deputy director at the Institute for Data Science and Artificial Intelligence at the University of Exeter. Kartik Hosanagar is the John C. Hower Professor at the Wharton School at the University of Pennsylvania and codirector of the Wharton Human-AI Research Initiative. (Authors are listed in alphabetical order.)</p> on July 9, 2026 at 11:00 amChris Gash/theispot.com The Research The authors synthesized findings from four studies spanning short-story writing, circular-economy solutions, humor caption contests, and collaborative storytelling. Across all four studies, AI assistance improved individual output quality, but it reduced collective diversity, resulting in more similar, convergent ideas across groups. AI had the greatest positive effect on individuals with lower
- GenAI Success Metrics: Look Beyond Reduced Workload
by Vishal Shah, Andrenna Gibson, and Tanika Teagle. <p>Vishal Shah is dean of the Division of Math, Science, and Health Careers at the Community College of Philadelphia. Andrenna Gibson is an operational leader at the Community College of Philadelphia, responsible for translating executive decisions into day-to-day processes that support students, faculty, and staff. Tanika Teagle leads student-facing admissions processes for select health care programs at the Community College of Philadelphia.</p> on July 8, 2026 at 11:00 amMatt Harrison Clough / Ikon Images The Research The authors performed a four-year, fixed-window observational analysis of administrative work inside a large U.S. public higher-education institution. Generative AI tools were introduced to executive leaders, operational leaders, and student-facing professionals throughout the organization in 2026. Staffing levels and work hours remained stable across the period studied.
- Leadership’s Blind Spot in the Age of AI
by Otto Scharmer. <p>Otto Scharmer is a senior lecturer at the MIT Sloan School of Management and cofounder of the <a href="https://www.presencing.org/" target="_blank">Presencing Institute</a>.</p> on July 7, 2026 at 11:00 amCarolyn Geason-Beissel/MIT SMR | Getty Images In 1951, philosopher Martin Heidegger told a small audience, “The most thought-provoking thing in our thought-provoking time is that we are still not thinking.” Few understood him then. Seventy-five years later, the observation has become unavoidable because AI has forced every leader to confront a question about the nature
- The Real Question to Ask About AI Governance
by Joseph Wallace. <p><a href="https://josephawallace.substack.com/" target="_blank">Joseph Wallace</a> is the director of data and AI governance at Adobe, where he founded the enterprise governance program.</p> on June 30, 2026 at 11:00 amCarolyn Geason-Beissel/MIT SMR | Getty Images Leaders at literally every Fortune 500 company will tell you that they are governing their AI — every single one of them. Now ask those same leaders who’s responsible for shutting down an AI model that’s causing harm. Most people can’t answer that question. That silence is the most
- Transforming Investing With AI at Franklin Templeton
by Thomas H. Davenport and Randy Bean. <p><a href="https://www.linkedin.com/in/davenporttom/" target="_blank" rel="noopener noreferrer">Thomas H. Davenport</a> is the President’s Distinguished Professor of Information Technology and Management and faculty director of the Metropoulos Institute for Technology and Entrepreneurship at Babson College, and a fellow of the MIT Initiative on the Digital Economy. His latest book is <cite>The New Science of Customer Relationships: Delivering the One-to-One Promise With AI</cite> (Wiley, 2025). <a href="https://www.linkedin.com/in/randy-bean-6903882/" target="_blank" rel="noopener noreferrer">Randy Bean</a> has been an adviser on data and AI leadership to Fortune 1000 organizations for over four decades. He is the author of <cite>Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI</cite> (Wiley, 2021).</p> on June 29, 2026 at 11:00 amPatrick George/Ikon Images What would you do with artificial intelligence if you were confident that it would transform your industry? What actions would you take if you felt that you were at an inflection point in that transformation? Would you try to be an early proponent of AI-first in your industry, or a fast follower?