Benchmarks cover 12 of 89 healthcare practitioner jobs, 0 of 19 healthcare support jobs

Share of occupations in each O*NET job family with at least one task covered by 5 or more prompts from 29 AI benchmarks, in Mercor's map as read October 27, 2026

Show the numbers as a table
Benchmarks cover 12 of 89 healthcare practitioner jobs, 0 of 19 healthcare support jobs
ItemShare of the family's occupations with a covered taskNote
Computer and math80.56%29 of 36 occupations
Community and social service71.43%10 of 14 occupations
Legal71.43%5 of 7 occupations
Business and finance68.75%33 of 48 occupations
Office and admin support41.18%21 of 51 occupations
Management37.5%21 of 56 occupations
Architecture and engineering33.93%19 of 56 occupations
Arts and media32.5%13 of 40 occupations
Sales27.27%6 of 22 occupations
Science25%15 of 60 occupations
Education and library14.52%9 of 62 occupations
Installation and repair14%7 of 50 occupations
Healthcare practitioners13.48%12 of 89 occupations
Production4.67%5 of 107 occupations
Construction3.28%2 of 61 occupations
Transportation1.92%1 of 52 occupations
Personal care0%0 of 31 occupations
Protective service0%0 of 26 occupations
Healthcare support0%0 of 19 occupations
Food service0%0 of 16 occupations
Farming and forestry0%0 of 12 occupations
Building and grounds0%0 of 8 occupations

About the data

Source
Method
Kent Applied counted, for each of the 22 O*NET job families, the occupations with at least one task that Mercor counts as covered (mapped to 5 or more prompts from its 29 benchmarks), using the data Mercor publishes in its Benchmark Map page. The counts reproduce Mercor's own totals: 208 of 923 occupations and 924 of 18,797 tasks. Mercor calls its results provisional.
Published
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Free to share and embed with credit to Kent Applied (CC BY 4.0). The source data keeps its own terms.

Related charts

Sources for the figures above: Microsoft, MIMIC-IV-Ext-SDBench (PhysioNet, version 1.0.0) (opens in a new tab); OpenAI, API changelog (July 30, August 21 and September 29, 2026) (opens in a new tab); OpenAI, GPT-5.6 Luna model page (opens in a new tab); Max Woolf, OpenAI and Anthropic cut their LLM prices by up to 80% within a few months (October 25, 2026) (opens in a new tab); This healthcare AI use case will grow 320% by 2026, survey finds (opens in a new tab); KORE1, Time to fill a data scientist role in 2026 (opens in a new tab).

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