Instead of inventing solutions from a blank slate, Nike's innovation team focuses on discovering pre-existing needs within the athlete. The user becomes a "living, breathing brief," meaning ideas are found through exploration, not forced creation, thus eliminating creative blocks.

Drawing from Leonardo da Vinci, Nike's innovation philosophy combines "sfumato" (a mad scientist's willingness to fail) and "arte de science" (logical, scientific thinking). The fusion of these two opposing mindsets creates a "calculated risk"—the essential ingredient for meaningful breakthroughs.

For Nike's innovators, the ultimate measure of success isn't market performance but the user's genuine joy upon experiencing the product. This "athlete's smile" confirms that a meaningful problem has been solved, serving as a leading indicator that commercial success will naturally follow.

After a period of stagnation, Nike unveiled three futuristic products. While not immediately commercial, these "moonshots" serve to re-establish its innovation leadership, justify massive R&D spending, and create a brand halo that smaller competitors like On and Brooks cannot replicate.

In AI, low prototyping costs and customer uncertainty make the traditional research-first PM model obsolete. The new approach is to build a prototype quickly, show it to customers to discover possibilities, and then iterate based on their reactions, effectively building the solution before the problem is fully defined.

The team avoids traditional design reviews and handoffs, fostering a "process-allergic" culture where everyone obsessively builds and iterates directly on the product. This chaotic but passionate approach is key to their speed and quality, allowing them to move fast, make mistakes, and fix them quickly.

Historically, resource-intensive prototyping (requiring designers and tools like Figma) was reserved for major features. AI tools reduce prototype creation time to minutes, allowing PMs to de-risk even minor features with user testing and solution discovery, improving the entire product's success rate.

Instead of writing detailed specs, product teams at Google use AI Studio to build functional prototypes. They provide a screenshot of an existing UI and prompt the AI to clone it while adding new features, dramatically accelerating the product exploration and innovation cycle.

The best use of pre-testing creative concepts isn't as a negative filter to eliminate poor ideas early. Instead, it should be framed as a positive process to identify the most promising concepts, which can then be developed further, taking good ideas and making them great.