Executives and operations leaders invest significant effort crafting AI prompts, and a common instinct is to assign the AI a persona: “act like a senior consultant,” “respond as a chemistry professor.” New research from the Wharton School’s Generative AI Labs tests whether that instinct actually pays off in accuracy. The findings may surprise you.…Read More
New research from Wharton People Analytics faculty director Matthew Bidwell and post-doctoral researcher Beril Yalcinkaya, based on analysis of 197 scholarly articles, reveals why AI investments sit idle, and what separates organizations that generate real returns from those stuck in perpetual pilot mode.…Read More
For decades, leadership identification has relied on personality inventories, interviews, and performance history. These tools are valuable, but they often capture who people are, not how they think and adapt under pressure. New research from Elizabeth “Zab” Johnson (Executive Director) and Michael Platt (Faculty Director) of the Wharton Neuroscience Initiative (WiN), Korn Ferry, and Lazul.ai, shows how neuroscience-informed, AI-enabled assessments can add a powerful new layer to leadership pipelines, especially at early career stages.…Read More
New research from Hamsa Bastani, Associate Professor of Operations, Information and Decisions, and Gérard Cachon, Fred R. Sullivan Professor of Operations, Information, and Decisions at the Wharton School reveals a counterintuitive challenge: as AI systems become more reliable, organizations may find it increasingly difficult, and costly, to motivate humans to oversee them effectively.…Read More
Choosing the right level of detail when analyzing data—whether by time, geography, or customer segment—is a daily challenge for marketing leaders. New research, by Mingyung Kim (former Wharton PhD student) and her co-dissertation advisors, Eric Bradlow, Wharton Marketing Professor and Vice Dean for AI & Analytics at Wharton, and Raghu Iyengar, Faculty Director, Innovation, Experiential Learning and Research Initiatives, introduces a practical framework for making smarter choices about data aggregation and parameter granularity, with significant implications for forecasting, pricing, and segmentation.…Read More
Generative AI has rapidly shifted from experimentation to everyday utility in large enterprises. In the final installment of our Fall 2025 AI Horizons webinar series, Wharton Human-AI Research Faculty Co-Directors Stefano Puntoni and Prasanna (Sonny) Tambe joined Jeremy Korst, Partner at GBK Collective, to share findings from the 2025 AI Adoption Report: GenAI Fast-Tracks into the Enterprise. Here are the key takeaways from their talk.…Read More
AI is moving at a blistering pace, with new developments in models and their impact on the business world, it can be hard to keep up. Luckily, we have experts like Ritcha Ranjan, Senior Vice President of Product at Expedia Group and Advisory Board Member with the Wharton AI & Analytics Initiative, to help us make sense of it all. In a recent interview with Eric Bradlow, Vice Dean of AI & Analytics at Wharton, the pair helped make sense of the current state of AI. Here are the key takeaways from their conversation.…Read More
In the latest AI Horizons Webinar, hosted by Wharton Human AI Research (WHAIR), Michael G. Jacobides, Sir Donald Gordon Professor of Entrepreneurship and Innovation at London Business School, joined Stefano Puntoni, Faculty Co-Director of WHAIR to discuss how generative AI is reshaping industries, business models, and organizations. Here are the key takeaways from their discussion.…Read More
At the third annual Wharton Business and Generative AI Conference in San Francisco, keynote speaker Lan Guan, Chief AI Officer at Accenture, shared her perspective on the evolving AI landscape and what separates companies merely experimenting from those capturing real enterprise value. Drawing on decades of consulting experience and thousands of enterprise AI projects, she highlighted where business leaders should focus their attention as AI adoption accelerates.…Read More
AI is no longer just the territory of engineers and data scientists. Increasingly, the most valuable use cases happen when business professionals – marketers, healthcare workers, financial analysts, and managers – use AI tools themselves. That’s the central message of new research by Prasanna “Sonny” Tambe, professor at Wharton and Faculty Co-Director of Wharton Human-AI Research. His paper in Management Science, Reskilling the Workforce for AI: Domain Expertise and Algorithmic Literacy, shows that firms capture more value from AI when algorithmic expertise is distributed across domain experts rather than concentrated in IT departments.…Read More
