AI Labs Close to Autonomous Self-Improvement, Experts Warn of Risks

Leading AI labs say autonomous self-improvement in models is near, but experts warn of potential dangers and call for caution.

Editorial Desk

September 20, 2026 One Min Read

POLICY WIRE — New York, USA — The prospect of artificial intelligence models teaching themselves to become more efficient and capable is rapidly approaching, according to leading AI researchers. This development, known as recursive self-improvement, could bring significant advancements in science and technology, but also raises concerns about potential risks.

Anthropic, a major player in the AI field, has revealed that its model Claude is helping to develop the next, more intelligent version of itself. While not yet fully autonomous, Claude is already contributing significantly to the company’s research and development efforts. Other AI companies, including OpenAI and xAI, are also making progress toward this goal, with some aiming to create fully automated AI researchers by 2028.

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Experts warn that while the potential benefits of autonomous AI are substantial, there are also serious concerns about losing control over these systems. Some AI moguls have called for slowing down the development of this technology, citing the need for greater safety measures. As AI continues to evolve, the balance between innovation and control remains a critical challenge for the industry.

Reporting by Policy-Wire (PW)

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Editorial Desk

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