AI Broke Our Content Team. Now What?

The first draft isn't the bottleneck anymore. Generative AI collapsed the cost of producing content — marketing copy, code, campaign variations, executive summaries — to near zero. What didn't collapse is everything around it: editorial review, source verification, brand governance, and the accountability structures that were built for a world of content scarcity. Most content and knowledge-worker teams are now fast upstream and gridlocked downstream. That asymmetry is where the real operational risk lives.

Enterprise leaders still point to hallucination rates and AI slop as proof that human roles are safe. But benchmark saturation is accelerating across every major model evaluation — and what a model can't do today is routinely one revision away from production-grade. The professionals defending their positions by citing current limitations are caught in what amounts to a velocity trap: the capability curve is moving faster than the workforce assumptions built around it.

Dan Verton sits down with Adnan Masood — AI practitioner, enterprise transformation advisor, and academic researcher who works with major financial, healthcare, and retail organizations — to unpack where content operations actually break under AI-driven volume, why governance has to compete with drafting speed instead of choking it, and what it means when the most valuable person on a content team is no longer the one producing the work but the one who knows whether it should ship.