By building a feature that competes directly with startups using its own API, Anthropic demonstrates the "platform risk" inherent in the AI ecosystem. Like Amazon with its Basics line, foundation model companies can observe usage, identify valuable applications, and integrate them, creating a kill-zone for dependent companies.

Building a business entirely on a closed-source API from a major provider like Anthropic or OpenAI is precarious. These platform companies can and do release new capabilities that directly compete with and subsume the functionalities of startups in their ecosystem, effectively erasing their business overnight.

AI model providers like Anthropic analyze usage data from customers to identify lucrative verticals, then launch competing applications (e.g., Claude Design vs. Figma). This commoditizes their partners, posing an existential risk for developers building on these platforms.

Anthropic is moving up the stack from model provider to application developer, putting it in direct competition with its own customers like Figma and Canva. It allegedly downplayed the capabilities of its new design tool to partners before launch, leading to broken trust and strategic fallout.

Companies like Anthropic and OpenAI are shifting from being API providers to building first-party "super apps." This creates a conflict where they might reserve their most powerful models for internal use, giving smaller, distilled versions to API customers, thus undermining the third-party ecosystem they helped create.

Startups building on proprietary AI platforms like Anthropic or OpenAI face significant risk. The platform can analyze token usage, identify successful applications, and then launch a competing, integrated feature, as Anthropic did to its partner Cursor with Claude Code.

Gurley notes that major AI model providers like OpenAI and Anthropic are shifting from solely selling API access to building their own applications. This move up the stack signals a fear that being a pure model provider is not a defensible moat and could lead to commoditization.

Cursor once constituted up to 50% of Anthropic's revenue, but Anthropic later competed directly by launching its own coding product. This illustrates the extreme danger for application-layer companies building on foundational models that can easily move up the stack and become competitors.

Startups building on top of AI models, like coding assistant Cursor, are extremely vulnerable. As foundation model companies like Anthropic improve their own native capabilities (e.g., Claude Code), they can quickly capture the market and render specialized tools obsolete.