Episode Description

What does AI really cost beyond the token bill?

EY Global Consulting AI Leader Dan Diasio joins Rocket Drew to explore the unexpected costs of putting AI to work—from retraining employees and building safety systems to planning for outages when agents run critical processes. What does it take to make those investments pay off? And when should companies own a model rather than rent one?

Shot at The Information’s AI Agenda Live event at the San Francisco Museum of Modern Art, this conversation also examines the full cost of AI, model routers and why a company’s org chart can get in the way of change.

The topics discussed are based on EY Consulting research analysis. Learn more by visiting EY.com (https://www.ey.com/en_us/services/ai?WT.mc_id=18801409&AA.tsrc=display)

Supported by EY.

Chapters

00:00 Intro

02:05 Why AI adoption is difficult

05:26 Culture, budgets and the org chart

07:55 Redesigning workflows around AI

12:21 How much can today’s models already do?

17:10 Multi-agent systems and human judgment

21:54 The full cost of AI

26:11 When to own your AI models

30:51 How model routers work

34:59 Leading change and making agents reliable