Claude Leads a Quarter of the Lab, Says Claude ↗

Marina Favaro and Phillie Wright, for Anthropic:

Anthropic published an R&D Automation Index that says Claude “leads” 26% of its own AI research as of August 2026. The headline sells recursive self-improvement. The methodology sells something quieter: a supervised share, scored by the same model family doing the work.

Second, we’re using our own models to evaluate our systems, which could mean that the “judge” model could make the same kinds of errors as the model it is checking.

That sentence is the post. Anthropic built the index by sampling staff weeks in July 2026, pulling tasks from Slack and internal docs, and freezing a tree of hundreds of AI R&D categories. A Claude research agent mapped how each kind of work gets done. An independent Claude judge then assigned Automation Levels on Epoch AI’s scale. AL4 (“leads”) means Claude can finish most of a task from a high-level prompt while a human supervises. AL5 is full autonomy with no human in the loop. Anthropic says Claude is not at AL5 for any measured subset. Over 90% of the basket sits at AL3 (“collaborates”) or higher.

So 26% is not headcount replaced. It is a person-time-weighted slice of that frozen task tree where Claude is rated as the lead worker under supervision. Staff owners who rate their own areas agreed with the model exactly 59% of the time, and within one level 97% of the time. Anthropic flags the judge problem itself and floats third-party verification. Until that arrives, the lab is asking you to trust Claude’s grade of Claude’s workload.

Transparency about AI building AI is useful. Treating a self-scored AL4 share as proof the lab is replacing itself is not. The interesting number is still zero: none of the measured work is fully autonomous.