Anthropic study of 207,000 Claude sessions maps scientific AI use
Anthropic reports a privacy-preserving study of 207,049 Claude and Claude Code research sessions from August to September 2026, labeled by field and research task using a classifier and the SciNet taxonomy.
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- Primary sourceAnthropic
- Linked in sourceAppendix
- Linked in sourceAppendix
- Linked in sourceprior work
- Linked in sourcehttps://www.anatomyofscience.com/
- Linked in sourcehttps://darioamodei.com/essay/machines-of-loving-grace
- Linked in sourcehttps://www.anthropic.com/research/riemann-zeta
- Linked in sourcehttps://www.anthropic.com/research/formalizing-fermats-last-theorem
- Linked in sourcehttps://arxiv.org/abs/2609.28504
- Linked in sourcehttps://forecastingresearch.org/research/existential-risk-persuasion-tournament
- Linked in sourcehttps://arxiv.org/abs/2411.15124
- Linked in sourcehttps://www.anthropic.com/research/economic-index-june-2026-report
- Linked in sourcehttps://openai.com/index/model-disproves-discrete-geometry-conjecture/
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Anthropic reports a privacy-preserving study of 207,049 Claude and Claude Code research sessions from August to September 2026, labeled by field and research task using a classifier and the SciNet taxonomy. Claude use is higher in formal sciences such as computer science, mathematics, and statistics than in health and lab-based physical sciences. Scientists mostly use it for data analysis and writing, and less for idea generation and data gathering. Usage is higher for tasks where AI is theoretically more capable. The report also outlines scenarios for how AI could accelerate research output.
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The study covers 207,049 consumer-plan sessions labeled with a scientific field and research task.
Source: Anthropic ↗Stored source-based brief · key point 1 · AINewsIQ paraphraseData analysis accounts for about one-third of Claude sessions and nearly half of Claude Code sessions.
Source: Anthropic ↗Stored source-based brief · key point 2 · AINewsIQ paraphraseUsage is two to four times higher than time spent would predict for tasks rated in the top 20% of AI capability.
Source: Anthropic ↗Stored source-based brief · key point 3 · AINewsIQ paraphraseClaude use is higher in formal sciences and lower in health and lab-based physical sciences.
Source: Anthropic ↗Stored source-based brief · key point 4 · AINewsIQ paraphraseLimits from the stored brief
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Anthropic Economics research published Nov 5 analyzes 207,000 Claude and Claude Code research sessions, finding heavier relative use in formal sciences and heavy data-analysis/writing tasks.
Source claims not independently checked; the output scenarios are based on a simple model and self-reported survey expectations.
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Why this may matter
The findings offer an empirical view of where scientists currently use AI and where adoption lags, informing expectations about how AI could affect the pace of scientific discovery.
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Source claims not independently checked; the output scenarios are based on a simple model and self-reported survey expectations.
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