When AI drives the cost of creating code, documents, and designs toward zero, something fundamental breaks: the metrics, structures, and mental models we've used to run organizations for decades.This talk examines what happens when production capacity stops being the constraint—and why that shift is more disruptive than simply "engineers with AI assistants write code faster."We'll explore four dimensions of impact:Labor: Why measuring engineers by output (commits, tickets, lines of code) becomes not just obsolete but actively misleading. Value shifts from execution to problem definition and risk ownership.Value Capture: Where economic moats migrate when creation is free. Spoiler: the hyperscaler GPU buildout may be betting on the wrong constraint.Talent & Education: How we end up in a "selection crisis" where competence becomes genuinely hard to verify, creating massive talent mispricing.Culture: Why "verified human" becomes a premium when digital artifacts are infinite—and what that means for how we assess and reward work.
Because when your team can generate 50 architectural options in an afternoon, the bottleneck isn't "can we build it?" It's "should we build it, and when do we stop exploring alternatives?"
This talk concludes with a mental model for the transition—and a concrete framework for restructuring how your organization makes decisions when production is no longer the bottleneck.