AI for better outcomes. The production side gets all the attention. The discovery side is where I see more room.

A lot of the AI conversation in design lands on the production side — generating UI, writing code, closing the gap between files and what gets built. That's real value. It's just not where I find myself most interested.

What's shifted more for me is what I can now look at earlier, and more often:

• Customer feedback at a scale that used to need dedicated research time
• Support conversations that surface friction nobody filed a ticket for
• Edge cases that normally get skipped in sprint planning
• Gaps between what the product is meant to do and what usage patterns show it actually does

None of this is new work. It's work that was always there and usually didn't get done — not because it wasn't useful, but because there wasn't enough time or people to do it consistently.

AI making discovery faster feels like a bigger deal to me than AI making production faster. Not because shipping quickly doesn't matter, but because shipping the right thing matters more.