Category
AI Product Leadership
Writing on the PM-to-builder shift, AI strategy, hands-on leadership, career paths and the skills that matter in the agentic era.
I Don't Deal in Hype: Why AI Product Leaders Must Also Build
Product leaders who have not felt latency or wrestled with hallucinations first-hand build AI strategies on fantasy. The case for builder-leader identity.
The E-Shaped Product Leader: Stacking Skills Beats Silos
AI collapses the cost of cross-domain competence. The career advantage belongs to people who stack skills, not the ones who go deeper in a single silo.
Stop Reading About AI. Start Shipping With It.
The window for AI-enabled builders to capture outsized value is open but narrowing fast. Vertical SaaS is being built by individuals, not large teams.
Product Discovery Is Dead: Why Prototyping Replaced It
The 6-week discovery sprint is a relic. When you can build a working prototype in a weekend, the fastest path to insight is shipping, not researching.
Taste Is the Last Skill AI Can't Commoditise
AI commoditises execution. The scarce resource is knowing what to build, for whom, and when to stop. That's taste, and it's the career bet worth making.
The Translation Layer Is Dead. Here's What Replaces It.
Agentic coding compressed the PM translation layer to zero. The three skills that matter now: problem shaping, context curation, and taste as judgment.
AI Strategy Needs Hands-On Experience, Not Slide Decks
AI strategies fail because leaders set direction for a capability they have never used. You cannot strategise well for a material you haven't touched.
The 17x Advantage: OpenAI's Product Builder Gap
OpenAI's enterprise data shows the top 5% of AI users send 17x more coding requests than the median. Three stats redefining how teams should get enabled.
The Product Manager Is Dead. Long Live the Product Builder.
Meta PMs vibe code prototypes for Zuckerberg. LinkedIn scrapped their APM program. The PM role is being redefined, and the new skillset is prompt, build, eval.