- Claude is used much more by developers than by customer service, sales, finance, or e-commerce.
- It now works more autonomously than ever, even for complex tasks
- Claude clarifies details more than humans interrupt him
Anthropic found that about half of all calls to public API tools come from software engineering, with other industries such as customer service, sales, finance and e-commerce each accounting for just a few percentage points.
At the same time, Claude Code worked independently for longer than ever, now more than 45 minutes compared to less than 25 minutes just three months ago.
OpenAI says the increase in autonomy isn’t just about its latest high-performance models, suggesting a broader shift to agentic AI rather than testing its newest models.
Agentic AI is here, and it’s most common in coding
In a new blog post, OpenAI explained how users begin to build trust with AI as tasks become more ambitious. However, there is still a “deployment overhang” in which models are always performing better than users currently allow. External evaluations also prove that the models can handle much longer tasks under ideal conditions.
Claude also helps on the trust front, stopping to ask clarifying questions more than humans interrupt.
In terms of coding, it seems that the more complex the task, the less human oversight there is. Complex tasks like discovering exploits and writing the compiler have about 67% human oversight, compared to 87% for simple API tasks.
Claude also asks about twice as many questions on very complex tasks as on simple tasks.
Looking ahead, Anthropic highlighted the importance of training models to recognize uncertainty and proactively ask clarifying questions. The company also advises against requiring manual approval for every action, saying it adds friction without necessarily increasing security.
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