O*NET
o-net-9253f40c·4 events·first seen 24d agoAliases: O*NET
Co-occurring entities
More like this (12)
Recent events (4)
Agent Benchmarks Skew Toward Software Engineering, Missing Most Economically Valuable Labor
Researchers from Carnegie Mellon University and Stanford University mapped over 10,000 examples from 43 agent benchmarks to U.S. labor statistics using O*NET occupational taxonomies, finding that current benchmarks heavily over-represent software engineering relative to its share of employment and wages. Office and administrative support (18.2M workers, $869.8B wages) and management (11M workers, $1326.3B wages) are vastly under-represented compared to computer and mathematical occupations (5.2M workers, $563.6B wages). No single benchmark covered more than 50% of work activities, and all 43 benchmarks combined covered only 56.5% of work activities. The study identifies a systematic gap between where agentic AI is being evaluated and where the largest economic opportunity lies.
Anthropic Economic Index: Second Report on Claude 3.7 Sonnet Usage Patterns and Labor Market Effects
Anthropic has released its second Anthropic Economic Index report, analyzing 1 million anonymized Claude.ai conversations following the launch of Claude 3.7 Sonnet. Key findings include a rise in coding, education, science, and healthcare usage shares; extended thinking mode is predominantly used for technical tasks (computer science researchers ~10%, software developers ~8%); and augmentation still comprises 57% of usage versus automation. The report also introduces a novel bottom-up taxonomy of 630 granular usage categories and releases task-level datasets publicly on Hugging Face.
Anthropic Launches Economic Index: First Large-Scale Empirical Study of AI's Labor Market Impact
Anthropic has released the Anthropic Economic Index, an initiative tracking AI's effects on labor markets using anonymized data from approximately one million Claude.ai conversations matched to U.S. Department of Labor O*NET occupational tasks. Key findings show AI use is concentrated in software development and technical writing, with 36% of occupations seeing AI use in at least 25% of their tasks, and usage skewing toward augmentation (57%) over automation (43%). The underlying dataset is being open-sourced to enable independent research, and Anthropic is inviting economists and policy experts to contribute to the ongoing initiative. The analysis was enabled by Clio, Anthropic's privacy-preserving internal conversation analysis tool.
Anthropic Education Report: How Educators Use Claude in Higher Education
Anthropic analyzed ~74,000 anonymized conversations from higher education professionals on Claude.ai during May–June 2025, finding that curriculum development dominates educator AI use (57% of conversations), followed by academic research (13%) and student assessment (7%). Faculty are not only using Claude as a chatbot but also building custom interactive tools via Claude Artifacts, such as chemistry simulations and grading rubrics. The study, complemented by qualitative research with 22 Northeastern University faculty, reveals a spectrum from augmentation (lesson design, advising) to automation (routine administrative tasks), with grading being a contested and relatively rare but automation-heavy use case.