How to Pivot Well

The article explains how founders should decide when and how to pivot in the rapidly evolving AI landscape, drawing on advice from a16z speedrun investors Emily Bennett and Troy Kirwin. It defines a pivot as maintaining core assets—such as the team, capital, or customer insights—while shifting product direction. The piece cites three recent pivots: Clay’s shift to a growth‑team tool that grew from $0 to over $100 M ARR, Lovable’s move from a command‑line prototype to a polished product for non‑technical users that achieved $100 M ARR in eight months, and Cursor’s transition from CAD AI to coding assistance after founders realized they were better suited as customers in that space. These examples illustrate the importance of staying true to learned insights while exploring new markets.

Key guidance includes testing market pull early, conducting rapid customer conversations (e.g., 50 calls in two weeks), and using qualitative depth before scaling with A/B tests. Bennett stresses that founders should not ignore signals of lack of demand and should view pivoting as a sign of agility rather than failure. Kirwin encourages founders to embrace truth‑seeking, even when it means abandoning a venture that is not scaling.

The article targets early‑stage founders globally, with no specific geographic or industry limits, and relies on anecdotal case studies rather than quantitative surveys. It frames pivoting as a core skill for founders in the AI era, emphasizing timely decision‑making and leveraging existing team strengths to navigate new opportunities.