Anthropic: Claude now leads 26% of its AI R&D

Anthropic published its R&D Automation Index and related pace metrics. As of August 2026, Claude “leads” 26% of Anthropic’s AI research and development work on Epoch AI’s automation scale — meaning it can finish most of a task from a high-level prompt while a human supervises — up from about 1% in March. AI collaborates on more than 90% of R&D; Claude is not fully autonomous in any measured area. The post also reports about 30,000 agents on its main internal platform, near-complete action monitoring, and a conservative about 6% safety share of AI-R&D compute in a July sample week.

SAFETY desk — the clearest same-day public window into how fast a frontier lab’s own model is taking over the work of building the next model, with oversight and safety-compute numbers attached.

As of August 2026, Anthropic says Claude “leads” 26% of the company’s AI R&D work. “Leads” here is Automation Level 4, or AL4, on a scale from Epoch AI, an independent nonprofit that tracks AI progress: the model can finish most of a task end-to-end from a high-level prompt while a human supervises. The share of work at or above “AI collaborates” — AL3, large chunks of work under close human direction — is above 90%. Claude is not fully autonomous, AL5, for any measured subset.

The scale, as Anthropic uses Epoch AI’s wording, runs from AL0 (no AI involvement) to AL5 (AI operates fully autonomously, with no human in the loop). AL4 is not unsupervised takeover: a person still reviews and decides whether the work ships.

Contribution rose rapidly from about 1% “leads” in March 2026, Anthropic says. Reuters’ same-day report notes the same March-to-August jump.

About 30,000 agents were doing research and engineering work on Anthropic’s most-used internal platform at any one time in August, the company says. Those measurements cover that platform only. Anthropic says 100% of those agents’ actions pass an online monitor before they run and an offline monitor after; over a billion decisions that month were analyzed, and about 0.002% — about 1 in 47,000 — were blocked by the online monitor.

Compute snapshot, still company: for the week of July 13–20, about 6% of compute going to AI R&D was safety work, and about 12% of compute going to AI-driven AI R&D was safety. Anthropic calls those figures deliberately conservative — work that advanced capabilities as much as safety was counted as capability, and safeguard classifiers were left out.

Anthropic says it plans to embed independent third-party evaluators from several organizations, with access comparable to internal risk-assessment teams, to verify safety practices, report incidents, and monitor metrics such as these. None were printed as a closed roster.

Plain English for the rest of the card: R&D = research and development, here the work of building the next AI model. R&D Automation Index = Anthropic’s prototype score for how much of that work Claude already does. Epoch AI = an independent nonprofit that tracks AI progress; Anthropic used its Automation Level scale. AL3 / collaborates = the model does large chunks of work under close human direction. AL4 / leads = the model finishes most of a task from a high-level prompt while a human supervises. AL5 / fully autonomous = no human in the loop — a level Anthropic says it has not reached in any measured subset. online monitor = a real-time check that can block an agent action before it happens. offline monitor = an after-the-fact review of what agents already did. “Leads” is not unsupervised takeover, and this is not a claim that recursive self-improvement — a model fully building its successor alone — has arrived.