A growing movement in the startup community involves not using OpenAI's API. Founders fear OpenAI, in its push for revenue, will release services that directly compete with and kill startups built on its platform, similar to Microsoft's historical "embrace, extend, extinguish" strategy.

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OpenAI embraces the 'platform paradox' by selling API access to startups that compete directly with its own apps like ChatGPT. The strategy is to foster a broad ecosystem, believing that enabling competitors is necessary to avoid losing the platform race entirely.

Critics argue OpenAI's strategy is dangerously unfocused, simultaneously pursuing frontier research, consumer apps, an enterprise platform, and hardware. Unlike Google, which funds such disparate projects with massive cash flow from an established business, OpenAI is attempting to do it all at once as a startup, risking operational failure.

Widespread anxiety from founders before OpenAI's Developer Day highlights a key challenge for AI startups. The fear is not a new competitor, but that the underlying platform (OpenAI) will launch a feature that completely absorbs their product's functionality, making their business obsolete overnight.

The assumption that startups can build on frontier model APIs is temporary. Emad Mostaque predicts that once models are sufficiently capable, labs like OpenAI will cease API access and use their superior internal models to outcompete businesses in every sector, fulfilling their AGI mission.

While OpenAI has strong brand recognition with ChatGPT, it's strategically vulnerable. Giants like Google and Microsoft can embed superior or equivalent AI into existing products with massive user bases and established monetization channels. OpenAI lacks these, making its long-term dominance questionable as technical differentiation erodes.

Startups are becoming wary of building on OpenAI's platform due to the significant risk of OpenAI launching competing applications (e.g., Sora for video), rendering their products obsolete. This "platform risk" is pushing developers toward neutral providers like Anthropic or open-source models to protect their businesses.

By allowing any developer to integrate its best video model via API, OpenAI is likely signaling it doesn't believe it can build a dominant, self-contained social video platform. A company aiming to create a new TikTok would maintain exclusivity over its core technology to maximize its competitive advantage.

OpenAI is launching an AI-powered jobs platform and a massive certification program. This move positions them as a direct competitor to LinkedIn, which is owned by their primary investor and partner, Microsoft, creating a fascinating and tense "coopetition" dynamic.

The choice between open and closed-source AI is not just technical but strategic. For startups, feeding proprietary data to a closed-source provider like OpenAI, which competes across many verticals, creates long-term risk. Open-source models offer "strategic autonomy" and prevent dependency on a potential future rival.

OpenAI has seen no cannibalization from its open source model releases. The use cases, customer profiles, and immense difficulty of operating inference at scale create a natural separation. Open source serves different needs and helps grow the entire AI ecosystem, which benefits the platform leader.