The Colorado AI Exposure Atlas estimates, for each of the state's 64 counties, how much of local employment sits in occupations whose tasks overlap substantially with what current AI systems can do. It combines 2025 county employment records with national staffing patterns and published occupation-level AI exposure scores; the result is an exposure score, a rank, and the occupation groups driving each.

Exposure is not a layoff forecast — it maps where change, as augmentation or automation, is positioned to arrive first. Statewide, 23.1% of UI-covered jobs are in high-exposure occupations; measured by payroll the share rises to 26.9%, because exposure skews toward higher-wage office work concentrated along the urban Front Range. Broomfield ranks first among counties at 35.2.

County occupation mixes are estimated from industry mix, not observed directly — the methodology explains how, and where the estimates are weakest.

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 map

Employment-weighted AI exposure score. County scores span 24.7–35.2 on a 0–100 scale; the classes cover the observed range.

Heavily imputed county — more than half of employment estimated from suppressed cells

Interactive map loads here. Every county's numbers are in the ranked table.

Key findings

Every statement below is computed from the published dataset; the same figures appear in the county table and the downloads.

More than a fifth of Colorado's UI-covered employment — about 661,000 of 2,860,276 jobs, or 23.1% — is in occupations highly exposed to current AI (exposure score 50.0 or more of 100).
High-exposure occupations account for 23.1% of Colorado's jobs but 26.9% of its payroll, and the payroll share exceeds the job share in all 64 counties — exposure skews toward higher-wage work. The gap is widest in Gilpin County (13.4% of jobs; 18.6% of payroll).

Gilpin County
The five highest-scoring counties — Broomfield (35.2), Boulder (34.6), Denver (33.5), Douglas (33.3), and Arapahoe (33.0) — are all Front Range metro counties, and together they hold 44.9% of the state's UI-covered employment.

Broomfield County · Boulder County · Denver County · Douglas County · Arapahoe County
County scores span 24.7 (Morgan) to 35.2 (Broomfield) on the 0–100 scale. The share of jobs in high-exposure occupations runs from 14.3% in Morgan County to 30.2% in Broomfield County — more than double.

Morgan County · Broomfield County
In observed AI usage (Anthropic Economic Index, Sept 2025), Colorado conversations lean toward augmentation over automation — 53.9% to 46.1%, a stronger augmentation lean than the 50.9%-to-49.1% U.S. baseline.
In 17 of 64 counties, more than half of employment sits in industry cells suppressed in the public data, so their occupation mixes — and scores — are the most heavily estimated in the atlas. Together these counties hold 1.0% of state employment; the imputed share peaks at 86.4% in Gilpin County.

Gilpin County

All 64 counties, ranked

Scores are employment-weighted mean AI exposure on a 0–100 scale (2025 employment). Chip color matches the map classes. Select a column header to sort.

Colorado counties ranked by AI exposure score, with high-exposure job share, UI-covered employment, and data quality.
Rank	County	Exposure score	High-exposure share	UI-covered jobs	Data quality
1	Broomfield	35.2	30.2%	40,750	Partially imputed 17.5% est.
2	Boulder	34.6	27.5%	191,474	Full
3	Denver	33.5	27.5%	560,749	Full
4	Douglas	33.3	26.3%	149,574	Full
5	Arapahoe	33.0	26.1%	340,882	Full
6	Crowley	31.5	24.1%	1,121	Heavily imputed 54.8% est.
7	Kiowa	31.4	16.9%	491	Partially imputed 47.5% est.
8	El Paso	31.4	22.2%	308,056	Full
9	Jefferson	31.3	22.8%	247,212	Full
10	Dolores	31.2	20.1%	526	Heavily imputed 54.2% est.
11	Bent	30.8	21.3%	1,172	Heavily imputed 55.4% est.
12	Lincoln	30.6	19.5%	2,191	Partially imputed 41.9% est.
13	Baca	30.5	17.8%	1,164	Partially imputed 38.9% est.
14	Larimer	30.5	20.9%	171,290	Full
15	Park	30.2	20.3%	3,123	Partially imputed 29.8% est.
16	Mineral	30.0	20.3%	607	Heavily imputed 63.1% est.
17	La Plata	29.7	19.6%	27,323	Partially imputed 19.3% est.
18	Hinsdale	29.6	19.2%	302	Partially imputed 47.7% est.
19	Lake	29.5	19.3%	2,963	Heavily imputed 54.4% est.
20	Teller	29.5	18.4%	8,108	Partially imputed 42.1% est.
21	Alamosa	29.5	18.1%	8,171	Partially imputed 39.4% est.
22	Fremont	29.5	18.7%	14,529	Partially imputed 24.2% est.
23	San Juan	29.5	17.9%	448	Heavily imputed 75.4% est.
24	Clear Creek	29.4	18.7%	3,430	Heavily imputed 58.2% est.
25	Otero	29.3	17.7%	6,032	Partially imputed 45.0% est.
26	Custer	29.3	18.2%	1,026	Heavily imputed 52.8% est.
27	Las Animas	29.2	16.9%	4,636	Partially imputed 39.4% est.
28	Sedgwick	29.1	17.0%	705	Partially imputed 45.4% est.
29	Logan	29.1	18.3%	7,773	Partially imputed 33.7% est.
30	Chaffee	29.1	16.9%	9,346	Partially imputed 21.0% est.
31	Jackson	29.0	18.0%	558	Heavily imputed 65.2% est.
32	Rio Blanco	29.0	17.9%	2,858	Heavily imputed 50.8% est.
33	Huerfano	28.9	17.0%	1,851	Heavily imputed 57.9% est.
34	Pueblo	28.7	17.3%	61,514	Partially imputed 18.0% est.
35	Routt	28.7	17.7%	16,323	Partially imputed 18.2% est.
36	Gunnison	28.7	17.4%	9,438	Partially imputed 20.8% est.
37	Montezuma	28.7	16.8%	9,324	Partially imputed 31.7% est.
38	Mesa	28.6	17.6%	66,883	Partially imputed 13.6% est.
39	Pitkin	28.6	17.0%	17,753	Partially imputed 12.5% est.
40	Adams	28.5	19.0%	249,651	Full
41	Moffat	28.4	17.0%	4,558	Partially imputed 47.2% est.
42	Cheyenne	28.3	18.1%	717	Heavily imputed 57.6% est.
43	Washington	28.3	17.0%	1,213	Partially imputed 38.3% est.
44	Ouray	28.2	17.9%	2,192	Heavily imputed 60.1% est.
45	Costilla	28.2	17.9%	925	Heavily imputed 53.6% est.
46	Conejos	28.2	14.9%	1,649	Heavily imputed 53.8% est.
47	Prowers	28.2	16.5%	4,695	Partially imputed 37.2% est.
48	Elbert	28.2	18.5%	5,141	Partially imputed 26.7% est.
49	Garfield	28.1	17.2%	27,868	Partially imputed 16.0% est.
50	Kit Carson	28.1	17.4%	3,047	Partially imputed 45.5% est.
51	Delta	27.6	15.9%	8,804	Partially imputed 25.4% est.
52	Archuleta	27.6	15.4%	4,898	Partially imputed 33.3% est.
53	San Miguel	27.5	16.3%	6,076	Partially imputed 46.6% est.
54	Montrose	27.3	16.6%	17,497	Partially imputed 16.6% est.
55	Grand	27.3	15.1%	8,193	Partially imputed 17.7% est.
56	Summit	27.2	15.0%	22,484	Partially imputed 27.6% est.
57	Yuma	27.2	17.1%	4,046	Partially imputed 42.5% est.
58	Saguache	27.2	16.4%	1,670	Partially imputed 45.6% est.
59	Eagle	27.2	16.1%	35,609	Partially imputed 21.7% est.
60	Weld	27.0	17.7%	123,439	Full
61	Phillips	26.9	16.5%	1,793	Heavily imputed 56.8% est.
62	Gilpin	26.3	13.4%	4,787	Heavily imputed 86.4% est.
63	Rio Grande	26.1	16.1%	4,409	Partially imputed 47.8% est.
64	Morgan	24.7	14.3%	13,239	Partially imputed 48.0% est.