One pattern I’m seeing: The companies getting the most value from AI are NOT approaching it as a technology initiative. They’re treating it as an actual operating-model shift. The struggling companies tend to ask: “Which AI tool should we buy?” “How do we deploy copilots?” “How do we automate tasks?” The successful ones ask different questions: “Where are our decision bottlenecks?” “Where does work get stuck?” “Which roles are overloaded with coordination?” “How should workflows change if...

There’s a popular narrative right now that AI will massively flatten organizations. Fewer managers Smaller teams More automation Some of that is already true. But I think the much bigger effect will be different: AI is going to expose organizational weaknesses much faster. Weak prioritization? You’ll now execute bad ideas faster. Poor alignment between Sales, Product, and Engineering? AI increases the volume of output — and therefore the cost of confusion. Unclear ownership? Now multiple...

One of the more interesting side effects I'm seeing from AI tooling: It’s starting to change what we consider “senior-level” work. Historically, experience was partly measured by: How much complexity someone could manage How efficiently they could execute How much technical knowledge they had accumulated over time AI is compressing some of that advantage: Junior engineers can now prototype quickly Product Managers can generate drafts and analysis instantly Small teams can execute work that...