AI Is Already Developing AI, Says Anthropic—And Humans May Be Slowing Things Down

AI has turn out to be so efficient at writing code and researching that the largest constraint on growing new AI programs could now be the people overseeing them, based on a brand new examine by Anthropic.

In its report “When AI Builds Itself,” revealed Thursday, Anthropic argued that Claude is already serving to construct future AI programs by writing code, operating experiments, and aiding with analysis—a pattern the corporate says might finally result in recursive self-improvement, the place AI programs assist design their very own successors.

Claude now authors greater than 80% of the code merged into its codebase, Anthropic mentioned, and has helped engineers improve code output roughly eightfold since 2024.

“Earlier than Claude Code launched in analysis preview in February 2025, this quantity was within the low single digits,” Anthropic wrote, including that the shift additionally exhibits up within the quantity of output per engineer. “Traces of code merged per engineer per day stayed fixed by way of Anthropic’s first 4 years (2021-2024), then started to climb upward in 2025 when Claude started to run code relatively than simply suggesting it for an engineer to repeat and paste.”



Anthropic mentioned the long run might unfold in a number of methods: AI progress might gradual, people might stay in cost whereas AI automates a lot of the work, or AI programs might finally start bettering their very own successors.

“Taken far sufficient, and given sufficient compute, that pattern factors to an AI system able to totally autonomously designing and growing its personal successor,” Anthropic wrote. “That is known as recursive self-improvement. We aren’t there but, and recursive self-improvement is just not inevitable. Nevertheless it might come before most establishments are ready for.”

The corporate mentioned it is too early to know which consequence is most certainly, however argues that AI is already serving to construct AI, and acknowledged that traces of code are an imperfect measure of productiveness.

“None of this ensures recursive self-improvement is on the horizon,” Anthropic later wrote on X. “It’s not but clear that Claude is able to analysis judgment—of selecting the best issues to work on.”

The report comes as AI corporations more and more place their fashions as analysis collaborators relatively than easy chatbots. Nonetheless, Anthropic mentioned the rise in code output displays a broader acceleration in software program improvement pushed by more and more succesful AI brokers.

Final month, Anthropic upgraded its flagship Claude mannequin to Opus 4.8, persevering with a gentle stream of releases geared toward bettering coding, reasoning, and autonomous process efficiency. On the identical time, rival developer OpenAI has pursued an analogous technique with its frontier fashions, launching GPT-5.5 and GPT-Rosalind in April.

In Could, Google introduced Gemini Spark, a private AI agent that does not wait to be requested. It manages duties throughout apps, flags gadgets that want consideration, and finishes jobs within the background.

The report additionally comes as Anthropic has more and more emphasised AI programs able to working with higher autonomy because it prepares to go public. In current months, Anthropic has showcased advances in coding, agentic workflows, and long-duration process efficiency, whereas touting Claude Mythos’ skill to determine software program vulnerabilities and conduct advanced cybersecurity analysis.

“People play a considerably diminished function of their improvement, probably shifting most of our effort in the direction of oversight, validation, and verification of an increasing ‘digital lab’ run by AI programs,” the corporate mentioned. “We count on that programs able to automated AI analysis and improvement would have abilities that will switch to the remainder of science, permitting them to start to revolutionize different fields.”