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The Register - Software: AI + ML

Anthropic, now atop the AI bubble, files for its IPO Sick and wrong: Ontario auditors find doctors' AI note takers routinely blow basic facts OpenAI exec says it will burn $50B on compute this year Astera speaks softly and carries a big switch Anthropic unleashes finance agents for Claude IBM asks DBAs to trust AI to act on their behalf ServiceNow adds agent kill switches to AI control tower British mathematician hands OpenClaw agent a credit card Microsoft fixes VS Code after Copilot credited human code Shadow IT has given way to shadow AI. Enter AI-BOMs AI inference just plays by different rules How TeamViewer ONE transforms IT operations from firefighting to autopilot How TeamViewer ONE transforms IT operations firefighting aut Inference is giving AI chip startups a 2nd chance to shine How to roll your own local AI coding agents CIOs will be the governors for AI agents Govern your bots carefully or chaos could ensue Mozilla pushes back against Google's Prompt API SAP user group slams 'uncertainty' in ERP giant's API policy Microsoft boss tells investors the company is working to 'win back fans' Amazon's chips become a $20B business Fooling large language models just keeps getting simpler Amazon tells its engineers to review all AI output ZTE powers 2026 Jiangsu Football League with 5G-A & AI robot Future holiday horror: ‘A robot lost my luggage in Tokyo’ The future of software development has less development OpenAI jumps out of Microsoft's bed, into Amazon's Bedrock Vintage chatbot lives in the past like an elderly relative IBM's AI coding 'partner' Bob hits general availability Locked, stocked, and losing budget: AI vendor lock-in bites
Anthropic tops OpenAI in LLM revenue stakes
Carly Page Carly Page · 2026-04-30 · via The Register - Software: AI + ML

AI + ML

Fewer users, fatter wallets is why Anthropic tops OpenAI in LLM revenue stakes

AI boom splits between companies hoarding eyeballs and those actually charging for them

Anthropic is pulling in more LLM revenue than OpenAI, despite having a fraction of the users.

New stats from Counterpoint Research put Anthropic on top of the global LLM revenue table in Q1 2026, with a 31.4 percent share, narrowly ahead of OpenAI on 29 percent, but the real story lies beneath that near-tie. Anthropic is doing it with around 134 million monthly users, compared to OpenAI's roughly 900 million, and extracting far more revenue from each one.

Counterpoint puts Anthropic's average monthly revenue per active user at $16.20, far ahead of Microsoft's $5, OpenAI's $2.20, and Google's $1.10. That's not a subscription price so much as a rough average spread across total users, but it still shows where the money is landing. The companies winning in terms of popularity are not the ones making the most from it.

You can see that in Meta's numbers. The company leads on raw scale with about a billion users, but barely registers on direct monetization at $0.10 per head.

Investors, however, are being asked to take that on faith. Meta has raised its expected 2026 capital expenditure to between $125 billion and $145 billion as it pours money into AI infrastructure, up from an earlier forecast of $115 billion to $135 billion. The company beat expectations on revenue and profit in the first quarter, but the heavier AI spending knocked its shares down 7 percent in after-hours trading, a reminder that engagement gains do not automatically translate into confidence.

It's not alone. Combined, Alphabet, Amazon, Microsoft, and Meta are expected to spend a $725 billion on infrastructure this year, up sharply from an already hefty $410 billion last year. That's a 77 percent jump, which would be easier to swallow if the returns were showing up evenly across the market.

But they are not. The biggest platforms are racking up users and engagement while footing ever larger infrastructure bills. Meanwhile a smaller set of players is already turning AI into something that looks a lot more like a traditional software business.

Anthropic, for example, appears to have carved out a premium lane where customers are paying for outputs rather than novelty, with Counterpoint noting that the firm has "successfully captured the high-end professional market."

China's players are not sitting this out either. The analysts peg Baidu as pulling in about $1.30 per user, more than Google and Meta combined, while Tencent and Alibaba are building out their own mixes of scale and services behind the Great Firewall.

All in all, more than 3.8 billion people are now using LLMs each month, generating roughly $20.7 billion in quarterly revenue, but not all of those users are worth much. Billions are happily tapping away for free while a smaller crowd racks up the actual bill. ®