Anthropic's data shows software engineering accounts for ~50% of its AI agent tool calls; the remaining verticals are greenfields most founders are overlooking
Garry's List Garry Tan
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Discussion
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@anthropicai
@anthropicai
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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://www.anthropic.com/…
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@anthropicai
@anthropicai
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Software engineering makes up ~50% of agentic tool calls on our API, but we see emerging use in other industries. As the frontier of risk and autonomy expands, post-deployment monitoring becomes essential. We encourage other model developers to extend this research. [image]
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@garrytan
Garry Tan
on x
Software engineering accounts for nearly 50% of all AI agent tool calls. Healthcare, legal, finance, and a dozen other verticals are barely touched, each under 5%. That's a hundred AI unicorns waiting to be built. https://garryslist.org/... [image]
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@handotdev
Han Wang
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what I would be working on if I started another company today [image]
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@levie
Aaron Levie
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This chart is a good reminder of how much opportunity there is in AI agents right now. There will be plenty of horizontal opportunities for agents, but equally many workflows that need deep domain expertise to actually make the user successful at automating the unique processes …