AI ushers in an era of immense change for leaders and organizations in almost every industry, including higher education. The fast-changing environment, though, also offers opportunity for business schools that adapt. This plenary helps paint a picture of the future with greater insight into those opportunities:

• Traditional business schools will remain relevant in the AI age but shift their role from delivering knowledge to developing judgment, leadership, and human skills that AI cannot easily replace.
• AI will transform curricula across finance, marketing, strategy, and operations, making AI literacy and data fluency essential for all students.
• Business schools increasingly will focus on experiential learning, simulations, coaching, and lifelong education rather than one-time degrees.
• Their value as trusted credentialing institutions and powerful professional networks may become even more important as AI commoditizes information.
• Schools that adapt quickly to these changes will thrive, while those relying on traditional lecture-based models may struggle.

About the speaker

President Emeritus and Professor of Marketing at CEIBS, Dr. Dominique V. Turpin joined CEIBS in September 2022 and served as president (European) until December 2025. Professor Turpin has extensive teaching, consulting, and research experience in the fields of marketing and international strategy in Europe, Latin America, and Asia, particularly in the areas of brand management, customer orientation, and communications strategy.

The author of more than 100 books, articles and case studies, he has published articles in the Financial Times, European Business Forum, and MIT Sloan Management Review; has contributed regularly to the Nihon Sangyo Shimbun, one of the leading business dailies in Japan; and is an editorial advisor for the Singapore Management Review. He currently is writing two books—one with Goutam Challagalla on digital transformation in marketing, and another containing the many quotations from business leaders that he has gathered during his long career.

Professor Turpin’s previous experience includes many roles at IMD, including as IMD’s Dentsu Chaired Professor of Marketing and dean of external relations until 2022, and as IMD president, dean, and Nestlé Professor from 2010 to 2016.

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A decade ago, anthropologist Kathryn Bouskill began exploring how humans were adjusting to the age of acceleration and found that the technologies promising to save us time brought along costs. Her research uncovered the excitement and the toll of living in a world where our ‘Stone Age brains,’ built for sustained focus rather than constant acceleration, were struggling to keep pace with demands for ever-faster decisions, faster communication, faster everything.

That research feels almost quaint now.

In this plenary session, Bouskill, who has spent more than a decade studying the costs and benefits of acceleration in public health, security, and technology, returns to her original argument and explores what has changed. She will trace the throughline from a pre-AI world obsessed with speed but experiencing what some have called “hurry sickness,” through the pandemic’s brutal real-time test of institutional decision-making under pressure, to today’s AI-saturated landscape, where the question is no longer just “how fast should we go?” but “what happens when machines start doing the thinking we assumed only humans could do?”

Bouskill offers a few emerging paradoxes to consider, including:

• AI’s uncanny ability to mimic deliberate judgment while actually performing fast, reflexive pattern-matching
• The risk that eliminating productive friction from case-method learning removes the very mechanism by which judgment gets built
• The institutional version of “hurry sickness”—adopting AI reactively, to avoid looking obsolete, rather than deliberately in service of the executive education mission

Her central provocation: The question was never speed versus slowness—it’s discernment. Some things can be fast-forwarded; trust, judgment, and cohort-based learning cannot. As educational programs decide what to accelerate and what to protect in an AI-saturated future, Bouskill makes the case for knowing the difference before the decision gets made for you.

About the speaker

An anthropologist whose work spans across technology, public health, and global risk and security, Kathryn “Casey” Bouskill is a social scientist at the RAND Corporation and professor at the Pardee RAND Graduate School, as well as a senior researcher in Meta’s Reliability Engineering team. In all her roles, she applies ethnographic methods—the practice of studying cultures through immersion—to complex systems analysis. Her TED talk, “The Unforeseen Consequences of a Fast-Paced World,” has been viewed more than 2.4 million times. Bouskill has worked and taught in the United States and Austria, where she served as a Fulbright scholar. She received her PhD in anthropology, an MPH in epidemiology from Emory University, and a bachelor’s degree from the University of Notre Dame.