Anthropic, the artificial-intelligence company behind Claude, has reached an annualized revenue run rate surpassing $65 billion at the end of July 2026, according to reporting by Reuters and Bloomberg.

Anthropic ended 2025 with an annualized revenue rate of approximately $9 billion. At $65 billion, its current rate is more than seven times higher, representing an increase of roughly $56 billion, or more than 620 percent, in only about seven months. Growth has accelerated during 2026 rather than slowing as the company became larger. Anthropic reported a $14 billion run rate in February, surpassing $30 billion in April and $47 billion in May before crossing $65 billion by the end of July.

The significant increase from last year indicates a high degree of revenue growth for AI-driven programs and applications. Much of that expansion came from business customers rather than simply people paying for a chatbot subscription.

Anthropic reported in February that the number of customers spending more than $100,000 annually had increased sevenfold in a year, while more than 500 customers were spending at least $1 million on an annualized basis. By April, the latter number had already doubled to more than 1,000. Eight of the Fortune 10 were Claude customers as of February 2026.

Coding has been especially important. Anthropic launched Claude Code broadly in May 2025, and within six months, it had reached a $1 billion revenue run rate. By February 2026, that had risen above $2.5 billion, with enterprise customers producing more than half of Claude Code’s revenue. Anthropic has also expanded Claude into finance, cybersecurity, data analysis, scientific research, and office productivity. Companies increasingly appear to be moving beyond experimenting with AI and incorporating it into everyday workflows.

Anthropic’s success can be interpreted as a portent of the next stage of AI economic development. The first phase of generative AI was dominated by consumers experimenting with chatbots. The newest phase involves AI agents performing economically valuable work such as writing software, analyzing information, or handling business processes. Anthropic’s own research has found significant use of Claude for professional and increasingly automated tasks.

Running frontier AI systems requires enormous expenditures on chips, electricity, and data centers, meaning rapidly increasing revenue does not automatically translate into profits. Anthropic and its competitors must also contend with aggressive competition, falling AI prices, and pressure from customers seeking cheaper models.

Anthropic’s rise from roughly $9 billion to more than $65 billion in annualized revenue suggests that AI is becoming commercial infrastructure rather than merely experimental technology. If that trajectory continues, the largest AI companies may increasingly resemble cloud-computing platforms: enormously expensive to build but embedded throughout the economy.

Anthropic’s growth is consequently important not simply because of its size, but because it indicates that businesses are increasingly willing to pay substantial amounts to make artificial intelligence a permanent part of how their work gets done.