Segmentation Drives Market Share Wins in AI
In short : Anthropic & OpenAI both re-rated their run rates in 2026 by segmenting : a mandatory enterprise repricing against an 80% price cut on the cheapest tier.
Like two SailGP boats in San Francisco Bay, Anthropic & OpenAI are vying to be the next multi-trillion public company & adding complexity to their strategies beyond technical one-upmanship.
Technology innovations marked the pre-2026 era : thinking models, bigger models, RL environments, agents, harnesses.
This year, business model innovation is more important, evident in two waves of the data. Both are segmentation moves : the same models, aimed at different buyers & priced to match. The first was Anthropic launching enterprise metered billing in March of 2026, which doubled revenue in a quarter.
About three months later, OpenAI responded with a business model innovation of its own, cutting the price of Luna (its most affordable model) by 80%. The move has catapulted OpenAI to within a boat length.
OpenAI is approaching $70b in run rate.1 Margins remain ambiguous & gross profit dollars will likely be a better way of evaluating the relative strength of the businesses.2
Some of these strategic changes impact revenue at this level of scale in a single quarter, an indication that the market is still fluid. Each of these businesses will near $100b in revenue by end of year.
Yesterday’s revelations from the leaked Anthropic S-1 suggest even the largest buyers of AI haven’t yet chosen. Two customers, Amazon & Google, comprised nearly a quarter of Anthropic’s revenue last year, & neither is locked into a long-term contract.
Technical innovation, customer segmentation, price discrimination : we are watching a business school case play out on the water.
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GP at Theory Ventures. Former Google PM. Sharing data-driven insights on AI, web3, & venture capital.