Testimony from OpenAI co-founder Ilya Sutskever has revealed that during the 2023 leadership crisis, a merger with top rival Anthropic was actively discussed. The potential deal, which could have installed Anthropic's CEO at the helm, highlights the deep instability at OpenAI during that period.
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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.
Top AI labs like Anthropic are simultaneously taking massive investments from direct competitors like Microsoft, NVIDIA, Google, and Amazon. This creates a confusing web of reciprocal deals for capital and cloud compute, blurring traditional competitive lines and creating complex interdependencies.
Despite public drama, OpenAI's restructuring settled based on each party's leverage. Microsoft got a 10x return, the foundation was massively capitalized, and employees gained liquidity. This pragmatic outcome, which clears the path for an IPO, proves that calculated deal-making ultimately prevails over controversy.
OpenAI integrated the Model-Centric Protocol (MCP) into its agentic APIs instead of building its own. The decision was driven by Anthropic treating MCP as a truly open standard, complete with a cross-company steering committee, which fostered trust and made adoption easy and pragmatic.
Nvidia's earnings call revealed its multi-billion dollar investment opportunities in OpenAI and Anthropic are non-binding letters of intent. This suggests the supposed "round-tripping" of capital in the AI ecosystem is built on optional, handshake-like deals, not guaranteed commitments, adding a layer of hidden risk.
Google's latest AI model, Gemini 3, is perceived as so advanced that OpenAI's CEO privately warned staff to expect "rough vibes" and "temporary economic headwinds." This memo signals a significant competitive shift, acknowledging Google may have temporarily leapfrogged OpenAI in model development.
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.
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 is now reacting to Google's advancements with Gemini 3, a complete reversal from three years ago. Google's strengths in infrastructure, proprietary chips, data, and financial stability are giving it a significant competitive edge, forcing OpenAI to delay initiatives and refocus on its core ChatGPT product.
Despite its early dominance, OpenAI's internal "Code Red" in response to competitors like Google's Gemini and Anthropic demonstrates a critical business lesson. An early market lead is not a guarantee of long-term success, especially in a rapidly evolving field like artificial intelligence.
