I checked in with my friends at Meta to see how AI is reshaping the PM team. What I found is a story I usually only hear at hot startups: endless meetings, reviews, and docs giving way to PMs coding, less process, and far more opinion than I saw in my four years there.
So I asked my good friend @jagjitchawla to discuss on the the Skip podcast. A ton of great insights:
β VPs used to spend hours reviewing status. Now an AI agent he wrote reads every code change, email, and doc overnight and hands him a punch list before the team logs on
β The products got better too β agents triage tens of thousands of bug reports a day and ship the fixes
β AI broke things too β site incidents climbed, so they built safeguard agents to vet changes before they ship
β Ideas got cheap, so judgment is the bottleneck
β The generalists are back β his strongest PMs are economists and physicists, not ex-engineers
β It's all homegrown β no vendor, no mandate, built by the teams themselves, some in a single evening
β The rollout was deliberate β Meta canceled a full week of meetings, then named "AI captains" by function
β Zero-to-one still starts at the whiteboard
β What AI doesn't replace: people fall in love with people, not projects
You can replicate most of this with little budget and not much effort. Jagjit and I go deep on the latest episode of The Skip:
Write-up on Skip: https://t.co/XV2KcYo7eU
https://t.co/i9T8wzF25z
@jasonlk just reaffirms the thing we already know - investor donβt like uncertainty whether its war or AI or SaaS pricing . SaaS is here to stay, need to switch the business model - simlar to how AWS undercut initial years and everyoneβs AWS bill is more that own data center