2 posts tagged with "management"

Everyone is writing AI-native organization manifestos right now.

Jack Dorsey published From Hierarchy to Intelligence in March, arguing that corporate hierarchy is a two-thousand-year-old information routing protocol that AI makes obsolete. Ivan Zhao wrote Steam, Steel, and Infinite Minds, framing AI as this era's miracle material — the steel of our gilded age. Both essays are worth your time. Both are also written from the CEO's chair.

I've been running the experiment from a different seat. At my previous company I started pushing the organization toward AI-native ways of working. This year the experiments have accelerated, on every layer I can reach: the development lifecycle, operations, and management itself. This post is the field report — what worked, where the walls are, and the one distinction the manifestos miss.

Everyone's talking about AI replacing individual contributors. Nobody's talking about what it does to engineering managers.

That asymmetry is interesting to me, because in my experience, EMs stand to gain more from AI than most ICs — or lose more ground if they ignore it. The difference isn't which tools you use. It's whether you use AI to reclaim the time that actually matters, or just use it to make your status updates look better.

Here's my honest accounting of what changed after a year of deliberately integrating AI into how I manage my team.