Is there value in the AI product sense interview being different from traditional product sense prep?

Yes, and PCA is developing dedicated curriculum for it. Traditional product sense frameworks — user segmentation, needs analysis, solution prioritization, success metrics — remain the foundation. What AI product sense adds is a layer of technical AI literacy (understanding model limitations, inference costs, latency tradeoffs, data dependencies) and a different starting point: AI-native companies often start with a technical capability and ask you to figure out what to build with it, rather than starting with a user problem. That's a different muscle. For now, make sure the fundamentals are solid, and watch the Circle feed and PCA announcements for the AI Bootcamp launch, which will cover this end-to-end. Peer mocks through PCA Pilot are also now recorded, so coaches can give specific feedback on both AI and general product sense performance.