Investors shove another $30B into the Anthropic money furnace

Steven

Investors shove another $30B into the Anthropic money furnace

Summary

Anthropic has announced a US$30 billion Series G round that values the company at US$380 billion post-money. The business — which only began generating revenue under three years ago — reports a run-rate revenue of US$14 billion and claims more than 10x annual growth in each of the past three years. Much of the recent revenue momentum is attributed to Claude Code, Anthropic’s agentic coding model, where enterprise customers now account for over half of that product’s income.

The piece points out that Anthropic, like many large AI platform firms, remains unprofitable while burning vast sums on model development and compute commitments. It highlights scepticism about projections (for example, a report suggesting Claude Code already authors ~4% of GitHub public commits) and notes limitations such as mixed code quality — including a recent costly attempt by Claude Opus 4.6 to produce a C compiler that reportedly cost US$20,000 and yielded imperfect results. Anthropic also maintains a no-advertising stance for the Claude family, limiting certain monetisation routes.

Key Points

  • Anthropic raised US$30 billion in a Series G at a US$380 billion post-money valuation.
  • The company reports a US$14 billion run-rate revenue, claiming over 10x annual growth for the past three years.
  • Claude Code is a major revenue driver; enterprise subscriptions have quadrupled since early 2026 and now make up more than half of Claude Code revenue.
  • A February report suggests Claude Code accounts for around 4% of public GitHub commits, with ambitious forecasts for higher adoption.
  • Anthropic remains unprofitable and is heavily spending on compute and infrastructure commitments.
  • Code-quality concerns persist — Claude Opus 4.6 produced a partial C compiler at a reported US$20K compute cost, with results described as not expert-level.
  • Anthropic has pledged not to insert advertising into the Claude model family, constraining one common monetisation path.
  • The broader AI market remains frothy: rivals like OpenAI command even larger valuations and deep investor backing.

Why should I read this?

Because this is the kind of headline that tells you where the money and priorities in AI are heading — fast, loud and expensive. If you work in AI, invest in tech, build developer tools, or worry about how models are deployed in production, this short read gives the key figures and a reality check on the hype (and the risks). We’ve done the heavy lifting: here’s the numbers, why they matter, and the bits you should be suspicious about.

Source

Source: https://go.theregister.com/feed/www.theregister.com/2026/02/13/anthropic_series_g/