Al has collapsed the time it takes to ship a feature. Now it's all about shipping the right thing.

Slop features are everywhere. With the cost of features as low as it has been, the PM skillset has been more important than ever: making sure your team doesn't build the wrong thing fast.

If your agent ships a feature in 4 hours but your analytics cycle runs 2 weeks, you're 84 iterations deep before you know iteration one was wrong.

That latency was annoying when teams shipped monthly. With agents shipping daily, it's fatal.

Amplitude just launched their AI Analytics Platform to solve this: amplitude.com/ai?utm_so…

When coding is automated, the hard part becomes knowing what to build:

• Which features drove real retention

• Why the cohort churned in week three

• Where the funnel broke in ways no dashboard surfaced

Their agents work through these questions in real time. The GIF attached to this post shows exactly what that looks like on conversion optimization.

MCP connects behavioral context directly into Cursor, Claude, GitHub, and Figma so your agents operate on real user data, not assumptions.

And it's included free with every Amplitude plan.

The PM role has not been automated (yet).

It got concentrated.

Less time writing specs for features that could've been built anyway. More time on the question that was always hardest: is this worth building at all?