How you need to think about product strategy in the age of AI

Product strategy in the AI era requires moving beyond feature output to focus on intentional choices that enable teams to say "no" to non-essential work. AI serves as a technical resource rather than a standalone value proposition, as frontier models are widely accessible; sustainable competitive advantages remain rooted in brand and proprietary data. Effective strategy relies on the "Stupidity Flip"—a test where a strategic choice is only valid if its opposite is not obviously foolish. Product managers should decompose strategy into specific components like audience segments and winning moves, validating them through behavior-based metrics rather than machine-centric outputs like token usage. By narrowing focus to specific user segments and linking roadmap items to concrete business outcomes, teams can ensure their efforts drive measurable impact rather than just increasing feature volume.