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Thinking about AI product leadership, building with AI tools, governance, and the economics of shipping AI in production.
Writing
Thinking about AI product leadership, building with AI tools, governance, and the economics of shipping AI in production.
Showing 1–13 of 77 articles

Agent strategy starts with the work customers need done. Without that map, you are just automating organisational noise.

ClickUp's 100x organisation memo gets the bottleneck right but the strategy wrong: AI-native teams are built around review, not cuts.

AI software quality is a production discipline. Code got cheap, but review, evals, rollback, and observability did not.

Solo polymath or multiplayer trio? Wrong frame. In the agentic coding era, the Three Amigos became a coordination protocol, and the strong ones win.

Product management is escaping tech. HVAC companies, PE portfolios, regional banks, and schools are about to hire their first PM. The discipline is leaving.

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.

The 2024–2026 layoff cycle isn't a ZERP correction. It's a talent swap at a 3.75:1 ratio, with an entirely different skill filter. Most discourse misses it.

Energy, chips, systems, models, applications. Every layer matters. Only one pays compounding returns. A framework for picking yours.