Artificial Intelligence

In his Digital Operations Strategy course, Darden professor Timothy Laseter uses original cases on companies such as GoFundMe, Walmart and Shiftsmart to show how GenAI is reshaping operations — and how business schools must adapt the case method for an AI-driven world

Agentic AI is positioned to transform supply chain management. But the biggest challenge, says UVA Darden professor Timothy Laseter, is moving from pilots to production across complex, real-world supply chains. His new white paper offers practical guidance for business leaders aiming to scale agentic AI in supply chain operations.

AI is no longer an experiment in healthcare — it's driving breakthroughs across drug discovery, patient care, insurance and public health. A new Darden technical note by Marc Ruggiano and Surbhi Guha (Class of 2026) shows how AI adoption is reshaping the industry and offers lessons for leaders in every sector.

UVA Darden Professor and Interim Dean Mike Lenox says an AI bubble is already forming, but that’s a normal phase of technological disruption. As with past booms, a shakeout is likely, separating hype-driven firms from those with durable capabilities and real competitive advantage.

In the latest episode of Office Hours, a faculty spotlight series hosted by Darden Admissions, UVA Darden professor Michael Albert discusses whether AI is a bubble and why he is excited about agentic AI.

In a conversation with UVA mathematician Ken Ono, Darden economist Anton Korinek warns the world may be just months away from an “AI takeoff” — a moment when advanced AI systems begin creating even more intelligent successors, threatening white-collar jobs and reshaping the global economy.

The challenge for marketers is no longer whether to use AI, but how to choose among the flood of potential projects competing for budget. UVA Darden professor Rajkumar Venkatesan, who advises Fortune 500 companies on AI adoption in marketing, has developed a framework to help cut through the noise.

Artificial general intelligence may arrive within five years. If the predictions are right, says UVA Darden economist Anton Korinek, it's already “crunch time” for organizations and individuals.

Health care fraud costs the U.S. more than $100 billion annually. Why is that? And how can technology — and specifically artificial intelligence — help us identify problems sooner and potentially help prevent billions in medical fraud and abuse?

Many people are worried about AI taking their jobs. The companies making AI tools are also concerned, notably about the public’s trust in the new technology. Ideas to Action checked in with UVA Darden faculty to learn more about trust and AI.