About this episode

Aaron Levie discusses the challenges CIOs face in implementing AI agents in enterprise knowledge work.

Agentic AI has taken off in software engineering, but most CIOs still cannot make agents work in everyday knowledge work in the enterprise. Aaron Levie, co-founder and CEO of Box, explains why that gap exists and what enterprises must change to close it. Drawing on what Box sees across its enterprise customer base, including 68% of the Fortune 500, Levie covers data access, verification, budgets, architecture, and the new roles required to realize real value from enterprise AI agents. ====== This episode is brought to you by Gartner IT Symposium/Xpo™: https://cxo.news/KGg8XY ====== YOU'LL DISCOVER ✅ Why agentic coding raced ahead while knowledge work agents lag, across three properties: text based work, verifiability, and data access ✅ The "AI psychosis" pattern Levie says makes CEOs overestimate agents, and why distance from the last mile of work distorts executive judgment ✅ Why you should retry a failed AI project roughly every six months as frontier models keep improving ✅ The forward-deployed engineer role, internal and external, and why it becomes essential to enterprise AI adoption ✅ Why your IT and data architecture, not the model you pick, often determines what…

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