Anthropic's Claude Now Leads 26% of AI Development Work, Company Reveals New Transparency Metrics

Reviewed byNidhi Govil

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Anthropic disclosed that its AI model Claude now leads 26% of the company's research and development work, a dramatic jump from zero in February. The San Francisco-based startup shared three new metrics to help the industry monitor the pace of AI development, amid growing concerns about AI systems building their own successors with minimal human input.

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Claude's Growing Role in Building Next-Generation AI

Anthropic disclosed Thursday that Claude now leads 26% of the company's AI research and development work, marking a dramatic acceleration from 0% in February and just 1% in March.

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The San Francisco-based startup defined "leads" as the AI model completing most tasks end-to-end from high-level prompts while remaining under human supervision.

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Additionally, AI now collaborates with humans on more than 90% of Anthropic's research work, handling large chunks of tasks under close human direction.

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The company emphasized that Claude is not operating fully autonomously in any measured subset of AI research and development.

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This distinction matters as the industry grapples with concerns about recursive self-improvement, where AI systems could develop successors without meaningful human input. Anthropic measured these contributions using a scale developed by Epoch AI, an independent nonprofit that tracks AI model capabilities.

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Three Metrics to Monitor Pace of AI Development

Anthropic introduced three measurement standards designed to increase transparency in AI development and help the public understand how quickly frontier AI labs are advancing. The first metric tracks AI-led research, using Epoch AI's automation rating scale to plot Claude's automation level since August 2025.

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The company believes any frontier AI developer could reproduce this process with their own data and third-party validation.

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The second metric involves agent oversight measures. Anthropic revealed that approximately 30,000 AI agents were conducting research and engineering work across its most-used internal platform at any given time in August.

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The company screens every action these agents take before execution. Of more than one billion decisions made in August, roughly one in 47,000 was blocked by oversight systems.

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The third metric tracks compute allocation. During a sample week in July, about 6% of computing power used for AI research went to safety work.

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For research carried out by AI itself, that figure rose to 12%.

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Anthropic noted these figures are conservative, as computing power that advanced both safety and capability equally was counted only as capability work.

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Push for Industry-Wide Transparency

The disclosure follows CEO Dario Amodei's weekend call for a coordinated industry slowdown to address AI safety concerns.

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Amodei's proposal received support from OpenAI CEO Sam Altman, Elon Musk, and Google DeepMind Chair Demis Hassabis, though President Donald Trump pushed back against the idea.

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Anthropic urged other AI developers to share similar metrics regularly, using public methodologies that enable comparison over time and potentially across labs.

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"As the world considers pacing the frontier, we should do everything possible to minimize the gap between what frontier labs know and what the public knows," the company stated.

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The company argued that sharing these measurements could lead to better understanding of how close leading AI labs are to achieving recursive self-improvement.

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Safety Concerns and External Oversight

The announcement comes amid heightened anxiety about AI systems developing behaviors that diverge from their creators' intentions. Researchers have warned that as autonomous systems become more sophisticated, they may become harder to monitor or control.

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An Anthropic researcher recently resigned with warnings about threats the technology poses to humanity, intensifying industry dialogue around AI safety.

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Anthropic has committed to establishing external third-party evaluators who will be embedded within the company to monitor safety efforts.

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This move toward independent oversight aligns with the company's broader transparency push. OpenAI also announced Wednesday it would begin regularly publishing reports on unexpected or unauthorized AI behavior, disclosing six instances of concerning model behavior.

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While Anthropic's disclosure doesn't specify how close the company believes it is to achieving recursive self-improvement, the pace at which Claude's contribution has grown is notable. Watch for whether other frontier AI labs follow Anthropic's lead in publishing similar metrics, and whether these transparency measures influence regulatory approaches. The tension between maintaining competitive advantage and ensuring public safety will likely shape how quickly—and openly—AI development proceeds in coming months.

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