10B+ tokens per minute via direct API. 350 customers each processed 100B+ tokens in a month. 400% YoY revenuegrowth from generative AI products. 750M Gemini MAUs.
Real-World Examples
AppleMetaGoogleYoutubeOpenaiAnthropic
Key Insight
Sell Models: OpenAI (GPT-4.5, o3, ~300M ChatGPT MAUs) โ no silicon, no cloud, no distribution. Anthropic (Claude, safety-focused) โ committed 1M+ Google TPUs, validates Google silicon quality. Meta (Llama, open-source) โ developer goodwill but no direct modelrevenue. xAI, Mistral, Cohere โ niche/regional/trailing frontier.
OpenAI and Anthropic sell models. Google sells models that are co-optimized with proprietary silicon, integrated into the world’s largest distribution surfaces, and continuously improved by data signals from 2B+ Search users, 750M Gemini users, and $60B+ in YouTube content interactions.
10B+ tokens per minute via direct API. 350 customers each processed 100B+ tokens in a month. 400% YoY revenuegrowth from generative AI products. 750M Gemini MAUs. 2B+ Search users feeding the data flywheel.
What is Layer 2: Why the Model Is Not the Product โ The Model Embedded in the Stack Is?
This analysis is part of Google: The Gravitational Center of the AI Market , a deep dive by The Business Engineer.
What is Sell Models vs. Sell the Stack?
Sell Models: OpenAI (GPT-4.5, o3, ~300M ChatGPT MAUs) โ no silicon, no cloud, no distribution. Anthropic (Claude, safety-focused) โ committed 1M+ Google TPUs, validates Google silicon quality. Meta (Llama, open-source) โ developer goodwill but no direct modelrevenue. xAI, Mistral, Cohere โ niche/regional/trailing frontier.
What is the key numbers?
10B+ tokens per minute via direct API. 350 customers each processed 100B+ tokens in a month. 400% YoY revenuegrowth from generative AI products. 750M Gemini MAUs. 2B+ Search users feeding the data flywheel.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
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