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Data reveals an extreme power law where model labs OpenAI and Anthropic capture nearly all AI startup revenue, and their share is growing. This indicates value is accruing to the foundational layer, posing an existential threat to the long-term viability of application-focused startups.
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.
Startups building on OpenAI or Anthropic APIs face a major platform risk. Their usage data trains the underlying foundational models, enabling the platform owners to eventually absorb their features natively and make the startups obsolete.
Frontier models can raise more capital than the entire application layer built upon them. This unique financial power allows them to systematically expand and absorb the value of their ecosystem, a dynamic not seen in previous platforms like cloud computing.
The AI value stack has evolved from chips (NVIDIA) to models (OpenAI). The next critical phase is the application layer. It's unclear if value will be captured by new application companies or if the underlying model providers will absorb all the profits, a key question for investors and founders.
Despite a booming AI startup ecosystem, revenue is intensely concentrated. Foundational model providers OpenAI and Anthropic capture nearly 90% of the market, and their share is growing, squeezing out application-layer companies.
The venture capital landscape is experiencing extreme concentration, with a handful of AI labs like OpenAI and Anthropic raising sums that rival half of the entire annual VC deployment. This capital sink into a few mega-private companies is a new phenomenon, unlike previous tech booms.
Unlike software bottlenecked by engineering headcount, AI models scale with capital. A frontier model company can raise more than its entire app ecosystem combined, then use that capital to launch competitive first-party apps and subsume third-party developers.
The battleground for AI startups is constantly shrinking like the map in Fortnite. Foundation models like Anthropic's Claude are aggressively absorbing features, turning what was a standalone product into a native capability overnight. This creates extreme existential risk for application-layer companies.
The AI value chain flows from hardware (NVIDIA) to apps, with LLM providers currently capturing most of the margin. The long-term viability of app-layer businesses depends on a competitive model layer. This competition drives down API costs, preventing model providers from having excessive pricing power and allowing apps to build sustainable businesses.