# O*NET: how AI models rank it, October 2026

HR AI Recommendation Index, October 2026 Edition. Named in 5 judge labels across 2 categories by 5 of 14 models. Page: https://hr-ai-index.com/vendors/o-net/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Skills intelligence | 0% | 49 | 25% | 4 |
| Talent intelligence | 0% | 40 | 0% | 1 |

## What the models said for it

- "Alternative: If you're US-centric only, O*NET is the established standard" (Kimi K2, Skills intelligence)
- "O*NET/SFIA where you need government-standard or IT-proficiency levels" (Muse Glimmer 30B, Skills intelligence)
- "start with free U.S. Department of Labor resources like O*NET instead" (GPT-6 Luna, Talent intelligence)

## And against it

- "US-centric, static, less tech-forward" (Grok 4.1 Fast, Skills intelligence)

## Movement since September 2026

Floor: 13 points of share, measured on the calibration repeat. A larger change is movement; a smaller one is noise.

- Skills intelligence: 0% to 0%, ±0. Inside the floor by 13 points · rank 33 → 49 of 127.
- Talent intelligence: 0% to 0%, ±0. New · not ranked in September 2026 · rank 40 of 90.

## In its own words

What O*NET's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: A workforce professional, developer, and research portal with data, tools, websites, technical documentation, and customer support information. (https://onetcenter.org/)
- For: workforce professional, developer, and research portal (https://onetcenter.org/)

## What it publishes

Every page onetcenter.org exposes, read 2026-09-29: 6 addresses. By kind, pages and the last 90 days:


## Record

- Method: https://hr-ai-index.com/methodology/
- Raw judge labels and full responses: https://hr-ai-index.com/data/
- License: CC BY 4.0. Cite as HR AI Recommendation Index, October 2026 Edition, hr-ai-index.com.