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.
Topic
Artificial Intelligence
Research and expert perspective on intelligent systems, automation, and the changing economics of decision-making. Darden faculty explore how organizations can evaluate emerging tools, govern responsible adoption, and use AI to improve judgment, productivity, customer value, and competitive advantage without losing sight of people and institutional trust.
AI can generate more answers. Darden’s case method asks students and leaders to do something harder: weigh the evidence, engage with competing views and decide what should be done. Dean Yael Grushka-Cockayne explains why that distinction matters.
Rushing from classes to recruiting events to coffee chats, Miaoxin Wang (MBA ’27) found herself overwhelmed by the sheer volume of interactions during her First Year at Darden. She founded a venture to create more value from conversations.
The OpenAI-Hugging Face security incident exposed more than a technical vulnerability. UVA Darden experts examine why effective AI governance depends on rapid disclosure, collaborative response and safeguards that can adapt as systems evolve.
As artificial intelligence disrupts many industries, MBA students and alumni are increasingly betting on “boring” businesses such as HVAC, plumbing and electrical companies that keep the economy running. Darden Professor Les Alexander explains why.
At NVIDIA this summer, Kshitiz Khatri (Class of 2027) is getting a close-up look behind the answer box in between his first and second year at The University of Virginia Darden School of Business.
How can marketing leaders manage brand visibility when customers increasingly receive answers from AI rather than lists of links from a traditional search platform? A new technical note from Professor Kimberly A. Whitler introduces a practical framework for marketing in the age of AI.
For Michael Fajardo (MBA ’20), the word is a nod first to Michael Porter, the strategist whose Five Forces framework he studied at the University of Virginia Darden School of Business. But it also meant something simpler: a person who carries the bags, lightens the load and helps someone keep moving.
Darden professor Anton Korinek helped organize a global statement calling for greater preparation for AI’s economic effects. The questions behind it were also part of a broader debate convened at Darden’s LaCross Institute.
