A nonprofit research group called METR has found that Anthropic’s research and development speed has doubled since the company started using AI tools internally. The study quantifies the specific impact that internal AI technologies have on engineering productivity at the firm. METR’s report highlights Anthropic as a primary example of how AI adoption accelerates the development of advanced models.
Anthropic’s model improvement rate in October 2026 is twice as fast as the rate measured from March 2024 to October 2025. The report attributes this acceleration specifically to the adoption of AI technologies within the company’s engineering workflows. These findings suggest that AI usage is a significant driver for scaling the capabilities of AI models.
The data confirms that engineering teams can achieve higher output levels when they integrate AI assistants into their daily tasks. For developers and companies building with AI, these metrics show that internal tooling is essential for maintaining a competitive edge in model development. The report proves that AI tools are a catalyst for faster engineering progress.
