Odaily, citing Jinshi, reported that Julius Baer analyst Enrico Chinello said the momentum of AI adoption in the United States indicates that Anthropic has already overtaken OpenAI. According to Chinello, OpenAI is considering lowering prices in response to this trend, with the aim of increasing usage and regaining market share. His assessment focuses less on a simple comparison of product popularity and more on the structure of each company’s customer base, revenue sources and route to profitability.
Enterprise Revenue Is the Main Distinction
Chinello identified the customer mix as the key difference between Anthropic and OpenAI. Around 85% of Anthropic’s revenue comes from enterprise customers, giving the company a revenue profile centered on clients with clearer commercial needs and a stronger willingness to pay. OpenAI, by contrast, derives most of its turnover from ChatGPT consumer subscriptions, while the overwhelming majority of ChatGPT users are still on the free version.
Under this framework, Anthropic’s strength among enterprise users gives it a clearer path to profitability. Enterprise users typically deploy AI services in business settings, including production, operations, development or internal tools, making the revenue connection to commercial use cases more direct. Chinello said Anthropic’s advantage in the enterprise segment provides a more visible monetization path, while OpenAI’s profitability remains in question.
OpenAI Looks to Pricing as It Faces Share Pressure
The report also said OpenAI is considering price reductions as a way to respond to Anthropic’s lead in adoption momentum. The goals are to drive higher usage and win back market share. This is tied to OpenAI’s current revenue structure: consumer subscriptions contribute most of its turnover, yet most users remain on the free tier, leaving the company with the challenge of turning broad usage into stable revenue.
Chinello also pointed to a recent trend of broadly rising token pricing across the industry. In his view, that indicates AI labs still have some pricing power without clearly sacrificing profitability. For Anthropic and OpenAI, the balance between enterprise customers, consumer subscriptions, the scale of free users and changes in token pricing now forms a central part of the competition over AI commercialization.