Anthropic says Claude now leads 26% of its internal AI R&D, up from under 1% in February

Anthropic published an R&D Automation Index showing a steep ramp in how much of its own model-building work Claude now drives. As of August, Claude 'leads' 26% of internal AI R&D tasks — meaning it completes them end-to-end from a high-level prompt with a human supervising — versus under 1% in February. The company says Claude collaborates in some capacity on more than 90% of research tasks, and that about 6% of its compute is allocated to safety research.

The disclosure was accompanied by an official post from @AnthropicAI (4,600+ likes) framing three measurements meant to 'illuminate that progress for the public': how much AI R&D is done by AI, and related trajectory metrics. Anthropic's explicit message is that AI systems are increasingly being used to build the next version of themselves — a public acknowledgment of recursive self-improvement dynamics that were previously discussed mostly in theoretical terms. Reporting also noted a companion release, Claude Design 2.0, merging the Claude chat and Cowork interfaces.

Competitively, the claim lands the same week Google DeepMind leadership openly discussed self-improving AI 'within a year,' amplifying AGI-timeline speculation across the industry. It also sharpens the contrast with Meta's Mark Zuckerberg, who this week rejected calls to slow AI development.

Skeptics were quick to push back. Community debate centered on measurement transparency: what exactly 'leads' means, and how much of that 26% is genuinely autonomous versus heavily supervised. Projections that the figure could hit 80% by year-end were treated warily, with critics noting the supervised-vs-autonomous framing does a lot of work in the headline number. Still, even skeptics conceded the trajectory — from sub-1% to 26% in roughly six months — is the most concrete public data point yet on AI accelerating its own development.