# Oracle Workforce Modeling: how AI models rank it, October 2026

HR AI Recommendation Index, October 2026 Edition. Named in 3 judge labels across 1 categories by 3 of 14 models. Page: https://hr-ai-index.com/vendors/oracle-workforce-modeling/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Workforce planning | 0% | 24 | 0% | 3 |

## What the models said for it

- "best fit for large enterprises that need repeatable, position-and-hierarchy governed headcount scenarios" (Muse Glimmer 30B, Workforce planning)
- "Heavily regulated or finance-controlled environment? → Oracle" (Kimi K2, Workforce planning)

## Movement since September 2026

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

- Workforce planning: 0% to 0%, ±0. Inside the floor by 13 points · rank 60 → 24 of 98.

## 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.