Artificial Intelligence

AI alignment isn’t just a concern for tech companies or policymakers. Every organization must define how AI supports its mission, values and people. Explore three practical considerations for building responsible, human-centered AI alignment in the workplace.

A new working paper from The Anthropic Institute, co-authored by UVA Darden Professor Anton Korinek, presents a framework for assessing the economic consequences of AI between 2026 and 2030. It models three potential paths of AI capabilities into implied paths for GDP, the labor share, wages, labor reallocation and unemployment.       

Artificial intelligence shouldn't be judged solely by profit or performance, says Darden professor Roshni Raveendhran. In this Q&A, she explains why AI should be designed to support autonomy, competence and human connection — and how organizations can use purpose to guide responsible innovation.

UVA Darden professor Chris Parker has developed a practical checklist for organizations looking to move from curiosity about AI to real-world impact.

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 Darden technical note by Marc Ruggiano and Surbhi Guha (MBA '26) 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.

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.