O*NET OnLine
PulseAugur coverage of O*NET OnLine — every cluster mentioning O*NET OnLine across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New ORQA framework tests LLM occupation knowledge; Claude and GPT lead
Researchers have developed ORQA, a novel framework designed to evaluate the occupation-specific knowledge of large language models. This method connects O*NET occupations to authoritative websites, generating source-tra…
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Anthropic models AI's economic impact, exploring future job scenarios
Anthropic has developed a model to explore potential economic futures shaped by AI advancements. The model, based on the "Economic Scenarios for Transformative AI" report, allows users to input their predictions about A…
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AI adoption is broad but shallow across occupations, experts find · 3 sources tracked
Recent analyses indicate that while AI adoption is widespread across many occupations, its depth is often limited, with fewer than half of workers in most roles actively using the technology. This contrasts with metrics…
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New method estimates worker task time to analyze AI's job impact
A new research paper proposes a method to estimate the time workers spend on specific tasks, which is crucial for understanding how technology impacts occupations. The proposed method uses pairwise comparisons from lang…
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Google data: AI use is shallow, not displacing workers en masse · 6 sources tracked
A new study from Google Research, analyzing 15 million anonymized AI interactions, suggests that AI is not currently causing widespread automation or displacement of white-collar work. The findings indicate that while A…
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New benchmark tests AI agents on real-world economic tasks
A new benchmark called Agents' Last Exam (ALE) has been introduced to evaluate AI agents on long-horizon, economically valuable tasks in real-world professional domains. Developed with over 250 industry experts, ALE cov…
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AI is changing white-collar work by unbundling tasks, says ADP economist
Nela Richardson, ADP's chief economist, is leading a project to analyze the labor market by focusing on individual tasks rather than traditional job titles. This "great job unbundling" uses natural language processing o…
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New framework aims to improve AI benchmarks for knowledge work
A new paper proposes a three-step framework for designing and reporting benchmarks for AI systems intended for knowledge work. The approach emphasizes clearly defining the work activity, specifying the testing environme…
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New hybrid microservice uses KG-first, LLM-fallback for skill search
Researchers have developed a novel microservice called SkillGraph-Service to address the complexity of integrating labor market competency frameworks like ESCO and O*NET into educational systems. The service employs a h…