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Software engineering accounts for ~50% of agentic tool calls, with emerging use in healthcare, finance, and cybersecurity. Most actions remain low-risk and reversible, but risky domain adoption is growing. The central finding: autonomy is co-constructed between model, user, and product - pre-deployment evaluations can't capture it alone, making post-deployment monitoring infrastructure essential.
Anthropic's paper includes recommendations for model developers, product developers, and policymakers on managing autonomy and risk in deployed agents.
New Anthropic research: Measuring AI agent autonomy in practice. We analyzed millions of interactions across Claude Code and our API to understand how much autonomy people grant to agents, where they’re deployed, and what risks they may pose. Read more: https://t.co/CllNkMF4ZZ
