OpenAI leveraged its massive demand for compute to secure warrants for a potential 11% stake in chipmaker Cerebrus for a fraction of a penny per share. This deal, tied to a $20 billion multi-year purchase commitment, highlights the immense bargaining power held by major AI model developers over their supply chain.
OpenAI's deals with suppliers like Cerebrus and CoreWeave involve taking significant equity stakes in exchange for large purchase commitments. This strategy effectively turns OpenAI into a powerful venture capital entity, securing its supply chain while also building a valuable investment portfolio at an incredibly low cost basis.
Microsoft agreed to cap its revenue share from OpenAI at $38 billion, forgoing potentially larger returns. In exchange, it eliminated the uncertain "AGI clause," securing its exclusive IP license through 2032. This shows Microsoft values long-term, certain access to OpenAI's core technology over a larger but riskier financial upside.
Microsoft has generated over $30 billion in new revenue directly tied to its OpenAI partnership between 2023 and 2025. This return, more than double its $13B investment, comes from OpenAI's Azure spend, reselling models, and Copilot sales. This figure excludes the massive appreciation of its equity stake, showing a rapid and direct ROI.
In the Musk-OpenAI trial, Satya Nadella neutralized allegations that Microsoft "controls" OpenAI by re-contextualizing his "above, below, around them" comment. He explained it referred to Microsoft's technical role as an infrastructure provider (below), application developer (above), and tool provider (around), not a statement of corporate dominance.
Instead of letting users pick from a complex menu of AI coding models, Replit offers three curated agent modes: Light, Economy, and Power. Replit uses its own comprehensive benchmark to select and combine the best models for each tier, optimizing for performance, speed, and cost behind the scenes, simplifying the user experience.
The next wave of AI assistants focuses on "interaction" or "bi-directional" models that can process information and respond in real-time, allowing users to interrupt them naturally. Startups like Thinking Machines Lab are competing directly with giants like OpenAI to create a more fluid, human-like conversational experience, moving beyond today's turn-based models.
To secure a foundational customer like OpenAI, capital-intensive infrastructure startups like Cerebrus may have to offer extremely generous terms, including massive, near-free equity stakes. This "deal they had to take" dynamic is necessary to overcome the cold start problem and achieve scale, demonstrating the immense leverage held by large AI model companies.