# Living in the Platforms’ Shadow

**Track:** Go-to-Market in the Model Era — AI for Entrepreneurship — complete (29)
**Framework / surface:** venture strategy
**Level:** Advanced
**Prerequisites:** Selling Trust, Category Creation vs. Replacement

**In one line:** The model providers will absorb the obvious; position where the next capability jump helps you.

## Theory, aesthetics & inspiration

Every application founder lives with the fear that the next model release ships their product as a feature — the era's version of Apple "sherlocking" Watson in 2002, or Microsoft bundling the browser that ended Netscape. The labs are explicit about absorbing the obvious layer above the model; Spolsky's commoditize-your-complement logic runs downhill from whoever owns the platform. Survival is positional. Lose if your product is a generic capability at the model's natural surface — summarization, transcription, first-draft anything. Persist if you hold what platforms structurally avoid: deep vertical workflow, regulated-industry trust, systems-of-record integration, community, or a data loop the platform cannot see. The sharpest test runs forward along the curve: for each capability jump you can foresee, ask whether it makes your product stronger or unnecessary. If model improvement is your tailwind — your product does more per release for the same engineering — you are positioned; if it is your countdown, reposition now, while the exponential still gives you time it will later take away.

**Founder question:** What happens to your company if the next model release gains your headline feature?