Showing 1–12 of 28 articles tagged AI Product Management

Alignment mechanics were scaffolding for moving information through slow orgs. Agents move it instantly. What's left is the conviction the scaffolding hid.

In stable markets, plan your next job. In exponential markets, plan the one after. Why title cuts today are the highest-return career move of the decade.
Teams shipping 10x more product aren't hiring more designers. Design still matters; most orgs just hire for the wrong part of it.

The hiring signal has inverted. Prestige credentials from the big-tech era correlate weakly with AI fluency. Screen for recency, not brand.

Success in the old operating model is a reinvention tax. The senior leaders who mastered roadmap theatre and stakeholder alignment struggle most to adapt.

Keith Rabois' barrels vs. ammunition framework reframes what AI changes about teams. More ammunition without more barrels solves the wrong problem.

Product teams reflexively strip onboarding friction. Intentional friction that helps users understand why the product is for them increases conversion.

The best AI growth teams deliberately sacrifice short-term metrics. Restraint on pricing, error handling, and safety compounds into retention and trust.

AI coding tools tripled engineering output overnight. PM and design headcount stayed flat. The ratio broke, and most orgs haven't noticed yet.

Chat is the wrong interface for AI agents in professional software work. A well-written issue is a better agent instruction than any prompt.

When prototypes take hours not weeks, the bottleneck is not engineering any more. It is judgment: which option deserves trust, testing, and investment.

Product leaders who have not felt latency or wrestled with hallucinations first-hand build AI strategies on fantasy. The case for builder-leader identity.