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Colorado AI Exposure Atlas
2026 Edition · Employment data 2025 · Compiled by Christopher Martin
- Statewide exposure score
- 31.4 0–100 scale, employment-weighted
- UI-covered jobs
- 2,860,276 2025 annual average
- High-exposure share of jobs
- 23.1% score ≥ 50
- High-exposure share of payroll
- 26.9% exposure skews toward higher pay
The ten most-exposed counties
| Rank | County | Exposure score | High-exposure share | UI-covered jobs |
|---|---|---|---|---|
| 1 | Broomfield† | 35.2 | 30.2% | 40,750 |
| 2 | Boulder | 34.6 | 27.5% | 191,474 |
| 3 | Denver | 33.5 | 27.5% | 560,749 |
| 4 | Douglas | 33.3 | 26.3% | 149,574 |
| 5 | Arapahoe | 33.0 | 26.1% | 340,882 |
| 6 | Crowley‡ | 31.5 | 24.1% | 1,121 |
| 7 | Kiowa† | 31.4 | 16.9% | 491 |
| 8 | El Paso | 31.4 | 22.2% | 308,056 |
| 9 | Jefferson | 31.3 | 22.8% | 247,212 |
| 10 | Dolores‡ | 31.2 | 20.1% | 526 |
† 10–50% of county employment imputed. ‡ Over half of county employment imputed — treat as a rough estimate. County industry detail suppressed by QCEW is estimated from state-level mix; see the methodology page.
The method in one paragraph
The atlas combines county employment records (BLS QCEW, 2025 annual averages) with national occupation staffing patterns (BLS OEWS) and published occupation-level AI exposure scores (Eloundou et al., Science, 2024). County occupation mixes are estimated from industry mix, not observed, and every county page reports how much of its underlying data was imputed. "High-exposure" means the top quintile of national employment ranked by exposure score. Exposure is not a job-loss forecast: it measures where AI-driven change — augmentation and automation both — is likely to arrive first. Full methods, sources, validation, and limitations: https://coloradoaiexposureatlas.com/methodology/
Colorado AI Exposure Atlas
All 64 counties, full dataset (CC BY 4.0), and methodology:
https://coloradoaiexposureatlas.com/
Cite as: Colorado AI Exposure Atlas, 2026 edition. Christopher Martin. https://coloradoaiexposureatlas.com/
2026 Edition · Employment data 2025 · Compiled by Christopher Martin