What Happens When AI Agents Replace Knowledge Work? [Ft. Jay Hack, ClickUp]

Jay Hack was building async coding agents before the term "agentic AI" existed in the mainstream, back when GitHub Copilot was the ceiling of ambition and everyone else was focused on IDE autocomplete. As Head of AI at ClickUp, he's now running one of the most ambitious agent bets in enterprise software, a platform that treats agents not as a feature, but as the primary way work gets done. Jay tells Keith why context, not model capability, is the actual ceiling on what agents can accomplish, how ClickUp's "super agent" is already running background workflows that used to require a human, and why first-party data integration will make externally-built agents structurally obsolete for most companies. He also shares where he thinks the next real step-function in productivity comes from, and it's not a better LLM. Topics discussed: Why context, not model capability, is the hard ceiling on agent performance Training coding ability to improve model performance across every other domain How ClickUp's super agent handles async workflows without human initiation First-party data integration as a structural moat against external agent tools Why the no-code failure doesn't doom generative UI VibeUp: dynamically generated interfaces connected directly to live workspace data The multi-agent architecture: personal AI clients running alongside company-specific async agents Brain-machine interfaces as the next real step-function in human productivity