The 2026 Edition · Employment data 2025 · Compiled by Christopher Martin
Colorado AI Exposure Atlas
The one-page summary — set to print on a single sheet.
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About 1 in 4 jobs in Colorado — roughly 784,400 of 2,860,276, or 27.4% — are in occupations in the top two task-overlap tiers, based on human ratings made in 2023. This is not a forecast of job losses. Nationally the figure is 25.9%. Using national average wages to model payroll, Colorado's share rises to 34.8%; this describes the mix of occupations, not observed Colorado pay. Across covered Colorado jobs, 6.3% are in high-overlap occupations, 21.1% substantial, 27.9% some, and 44.7% little.
- High + substantial share of jobs
- 27.4% about 1 in 4 jobs · score ≥ 45
- High + substantial jobs
- 784,367 of 2,860,276 UI-covered jobs
- High + substantial share of modeled payroll
- 34.8% uses national average wages
- United States
- 25.9% same method, national employment
The ten counties with the largest share
Ordered by the share of jobs in high- or substantial-overlap occupations — those scoring 45 or above on the 0–100 measure. The band compares a county with the typical (median) Colorado county, not with the statewide figure. All ten fall in the same band.
| County | High + substantial share | High + substantial jobs | UI-covered jobs | Band |
|---|---|---|---|---|
| Broomfield† | 35.3% | 14,367 | 40,750 | Well above typical |
| Denver | 33.1% | 185,864 | 560,749 | Well above typical |
| Boulder | 32.6% | 62,359 | 191,474 | Well above typical |
| Arapahoe | 31.0% | 105,532 | 340,882 | Well above typical |
| Douglas | 30.8% | 46,029 | 149,574 | Well above typical |
| Crowley‡ Heavily imputed — 54.8% of jobs | 28.8% | 322 | 1,121 | Well above typical |
| Jefferson | 27.1% | 67,103 | 247,212 | Well above typical |
| El Paso | 26.4% | 81,447 | 308,056 | Well above typical |
| Bent‡ Heavily imputed — 55.4% of jobs | 25.3% | 296 | 1,172 | Well above typical |
| Larimer | 24.7% | 42,348 | 171,290 | Well above typical |
† 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. Where more than 30% of a county's employment is imputed the atlas withholds that county's rank outright; the band and the marker above stand in its place. Ranks order the mean score, not the share shown here, and are published with the dataset. Small differences should not be read as precise rankings.
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 (human ratings made in 2023; Eloundou et al., Science, 2024). Occupations are sorted into four tiers on that 0–100 measure — high overlap (≥ 60), substantial (≥ 45), some (≥ 30), and little — and a county's headline figure is the share of its jobs in the top two tiers (score 45 or more). The former binary cut at 50 is published with the dataset as an alternative cut. The five bands cut that share into fifths of about 13 counties each, labeled against the typical (median) Colorado county, which sits at 21.2%. The statewide 27.4% is employment-weighted and therefore runs above 58 of the 64 counties, because most Colorado jobs are in a handful of metro counties. County occupation mixes are estimated from industry mix, not observed, and every county page reports how much of its underlying data was imputed. Exposure is not a job-loss forecast: it provides a dated baseline of rated task overlap, without measuring adoption or predicting where change happens 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