Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning
Large language models (LLMs) are improving rapidly as reflected in benchmark scores, yet these AI benchmarks largely test capabilities such as factual recall, narrow question answering, mathematical problem-solving, and coding and agentic tool-use. What remains poorly measured is AI progress on the analytical knowledge work white-collar professionals perform daily, including synthesizing complex information, exercising judgment under uncertainty and incomplete information, applying strategic and
Record details
Published: 17 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy
Retrieved: 20 July 2026
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How to cite this record
ethics.ai (17 July 2026), “Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning,” evidence record 11849, https://ethics.ai/record/11849 (originally published by arXiv cs.AI).
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