Unlike traditional SaaS, the AI market moves so rapidly that the concept of "finding product-market fit and then scaling" no longer applies. PMF is a fleeting state. Founders must build organizations that can adapt and evolve at a historically fast rate, assuming the future will look very different.

In fast-moving industries like AI, achieving product-market fit is not a final destination. It's a temporary state that only applies to the current 'chapter' of the market. Founders must accept that their platform will need to evolve significantly and be rebuilt for the next chapter to maintain relevance and leadership.

Classic software engineering warns against full rewrites due to risk and time ("second-system syndrome"). However, AI's ability to rebuild an entire product in days, not years, makes rewriting a powerful and low-cost tool for correcting over-complicated early versions or flawed core assumptions.

The old product leadership model was a "rat race" of adding features and specs. The new model prioritizes deep user understanding and data to solve the core problem, even if it results in fewer features on the box.

The idea of setting a yearly vision is outdated when new, compelling prototypes can be generated weekly. At Shopify, strategy now emerges organically as a powerful prototype gets shared, generates excitement, and a team forms around it, shifting priorities in near real-time.

Building a true platform requires designing components to be general-purpose, not use-case specific. For instance, creating one Kanban board for sales, support, and engineering. This thoughtful approach imposes a ~20% development 'tax' upfront but creates massive speed and leverage in the future.

With AI accelerating development from months to days, PMs must focus on unblocking engineers and launching weekly. This supersedes traditional emphasis on long-term, cross-team roadmap alignment, which was crucial when code was more expensive to produce.

In an age where AI can disrupt markets overnight, the traditional goal of shipping a perfect product is obsolete. A new CPO's priority should be to instill a culture where speed and rapid iteration are valued over initial perfection, as today's best product could be disrupted tomorrow.

To innovate at the speed of AI, adopt the mindset that anything you build today could be made obsolete by next week's model release. This forces you to hold ideas loosely, constantly update your beliefs, and prioritize learning and exploration over perfection.