Most design teams treat the AI shift as a tooling exercise: pick the prototyping stack, run a few experiments, declare victory. That misses the bigger move. Going AI-native isn't about the tools adopted. It's a shift in how product, platform, and practice are organized to absorb constant change.
This talk shares what it takes to build an AI-native design org from the inside: why traditional structure and studio models crack under the weight of rapidly shifting roadmaps, what an adaptive structure looks like in practice, and how sandboxing parts of the org enables zero-to-one ways of working without breaking the rest.
The talk walks through the three pillars that track the transition: Product, Platform, and Practice, along with the maturity model behind them. It also gets honest about the part nobody warns you about: every structure that gets set will evolve within months, and the real work is change management that doesn't feel like thrash to the team.
