Editor's Synopsis
Aaron Levie, CEO of Box, identifies the context problem as the #1 challenge for AI agents in the enterprise. He draws a distinction between agentic coding — where much of the needed context already exists within the code base and users are technical enough to supply the rest — and the broader world of knowledge work agents, where the context problem becomes significantly harder.
Levie's observation highlights a critical barrier to enterprise AI adoption: while AI coding assistants benefit from structured, accessible context, general-purpose knowledge work agents must navigate fragmented, unstructured, and often siloed enterprise information. This framing underscores why companies building enterprise AI infrastructure need to solve the context delivery problem before agents can be truly effective across business functions.