Full recording · 58 minutes · Recorded Aug 18, 2026 · 2,641 views
What you'll learn
Why AI adoption metrics (seats, usage, activation) systematically underpredict actual value capture
The three-layer framework for attributing AI outcomes to business results at the role level
How to set realistic, board-defensible AI ROI targets for 2027 planning cycles
Specific measurement approaches from Nasdaq, Autodesk, and LogicMonitor deployments
Where AI impact is being systematically under-measured — and the opportunity cost of that blind spot
Speakers
EB
Erik Brynjolfsson
Director, Stanford Digital Economy Lab
Pioneering researcher on the economics of AI and technology-driven productivity — author of The Second Machine Age.
AM
Andrew McAfee
Co-Director, MIT Initiative on the Digital Economy
Leading expert on how technology changes business and the economy, with particular focus on AI and its labor market effects.
JM
James Milin
VP of AI Strategy, Workhelix
Leads Workhelix's enterprise advisory practice, helping Fortune 500 companies build measurement frameworks for AI ROI.
.png){kind=icon}
