O*NET OnLine
PulseAugur coverage of O*NET OnLine — every cluster mentioning O*NET OnLine across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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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…