Claims

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Claims about task- or occupational-level exposure, applicability, or time-saved ratings for AI/LLM tools — whether produced by human annotators or by LLMs — including their inter-rater reliability, human-LLM agreement, and predictive validity against measured productivity or quality outcomes.

Occupational-task benchmarks of AI use precisely specified, one-shot tasks that omit the context-gathering and interaction of real jobs.

UnassessedNo current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitution →empirical · verifiableA factual claim that could be checked directly against observation or primary records.constitution →AI Capability Evaluation Artificial intelligenceimportance · settledImportance 0.20, from 0 to 1 · settled: uncontested, so low even when much depends on it. Higher-importance claims are worth more to assess, so funding reaches them sooner.constitution →

Fraction of economic tasks automatable by AI and computing as of 2025 (percent of tasks)

UnassessedNo current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitution →QuantityA quantity: a value the graph estimates rather than a proposition it affirms or denies. Its estimate stands where a claim's status would.constitution →Artificial intelligence Labor Economicsimportance · notableImportance 0.45, from 0 to 1 · notable: a contested point in a live debate (also the default before judging). Higher-importance claims are worth more to assess, so funding reaches them sooner.constitution →

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