# Microsoft Power BI: how AI models rank it, October 2026

HR AI Recommendation Index, October 2026 Edition. Named in 9 judge labels across 1 categories by 7 of 14 models. Page: https://hr-ai-index.com/vendors/microsoft-power-bi/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| People analytics | 2% | 18 | 56% | 9 |

## What the models said for it

- "For a genuinely tight budget, I'd start with your existing HRIS reports plus Power BI—not buy a dedicated people-analytics platform yet." (GPT-6 Luna, People analytics)
- "It is an industry-standard, incredibly robust tool for data modeling... The Catch: High learning curve." (Gemini 3.5 Flash, People analytics)
- "you likely already own Power BI licenses. There is no extra cost." (Qwen 3.7 Flash, People analytics)

## And against it

- "Labeled "criticized challenger" in benchmarks; opaque pricing scales poorly for non-enterprises." (Grok 4.1 Fast, People analytics)
- "often recommended for budget-conscious teams but flagged for learning curve and usability" (Muse Glimmer 30B, People analytics)
- "require you to build the HR data model, historical logic, and workforce metrics yourself" (GPT-5.4 mini, People analytics)
- "custom-built *Tableau*/*Power BI* setups ... they typically become "shelfware"" (Gemini 3.5 Flash, People analytics)

## Movement since September 2026

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

- People analytics: 0% to 2%, ±0. Inside the floor by 13 points · rank 77 → 18 of 114.

## 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.