Mapped: Where U.S. Jobs Are Most Exposed to AI

Where AI Exposure Is Highest Across the U.S.

Key Takeaways

• Washington has the highest share of AI-exposed jobs, at 5.7% of its workforce.

• California has the largest number of AI-exposed positions overall, at roughly 724,000 jobs.

• Mississippi has the lowest share of AI-exposed jobs in the study, at 1.9%.

Artificial intelligence is becoming capable of performing tasks across a growing range of white-collar and technical occupations.

This visualization maps all 50 states and Washington, D.C., by the share of workers employed in occupations considered highly exposed to AI-related disruption. It also highlights the states with the largest and smallest numbers of workers in these roles.

The data for this visualization comes from SmartAsset, using U.S. Bureau of Labor Statistics data and research from the Virginia Economic Information and Analytics Division. The analysis covers 26 occupations identified as having particularly high exposure to potential AI-related disruption.

AI exposure does not necessarily mean these jobs will disappear. Instead, it reflects how susceptible their tasks may be to changes such as automation, weaker hiring demand, wage pressure, or restructuring as AI tools become more capable.

Why Washington Tops the Map

Washington ranks first, with 5.7% of its workforce employed in highly AI-exposed occupations.

The state’s large technology sector helps explain its position, with companies such as Microsoft and Amazon supporting a significant concentration of software developers, programmers, database specialists, and other digital roles.

RankState or DistrictAI-Exposed Jobs (%)

1Washington5.7%

2Virginia4.6%

3District of Columbia4.5%

4California4.0%

5Utah4.0%

6Maryland3.9%

7Colorado3.7%

8New Hampshire3.7%

9Texas3.6%

10North Carolina3.5%

11South Dakota3.5%

12Oregon3.4%

13New Jersey3.4%

14Massachusetts3.2%

15Minnesota3.2%

16Georgia3.2%

17Arizona3.1%

18New York3.1%

19Tennessee3.1%

20Nebraska3.1%

21Florida3.0%

22Connecticut2.9%

23Michigan2.9%

24Missouri2.8%

25Illinois2.8%

26Wisconsin2.8%

27Rhode Island2.8%

28West Virginia2.7%

29Kansas2.7%

30Pennsylvania2.7%

31Iowa2.7%

32Delaware2.7%

33Vermont2.7%

34Ohio2.6%

35Alabama2.6%

36Maine2.5%

37Idaho2.5%

38Montana2.5%

39Nevada2.5%

40Alaska2.4%

41South Carolina2.4%

42North Dakota2.3%

43Kentucky2.3%

44Oklahoma2.3%

45Louisiana2.3%

46Indiana2.2%

47Arkansas2.2%

48Wyoming2.2%

49New Mexico2.1%

50Hawaii2.1%

51Mississippi1.9%

Virginia follows at 4.6%, reflecting its mix of technology firms, federal contractors, and knowledge-based employment. Washington, D.C., ranks third at 4.5%, while California and Utah round out the top five at 4.0% each.

At the other end of the ranking, Mississippi has the lowest share in the study, at 1.9%.

California Has the Most AI-Exposed Jobs

California has the largest absolute number of workers in highly exposed occupations, with approximately 724,000 positions.

Texas follows with about 500,000, while New York and Florida each have roughly 301,000.

RankStateStates With the Most AI-Exposed Jobs

1California724K

2Texas500K

3New York301K

4Florida301K

5Washington202K

At the other end of the scale, Wyoming has just 6,000 AI-exposed positions, followed by Alaska and Vermont at about 8,000 each.

Rank StateStates With the Fewest AI-Exposed Jobs

1Wyoming6K

2Alaska8K

3Vermont8K

4North Dakota10K

5Montana13K

What Types of Jobs Are Most Exposed to AI?

The 26 occupations span technology, communications, administration, finance, and other knowledge-based fields.

Mathematicians rank as the most exposed occupation, followed by proofreaders, correspondence clerks, court reporters, and media and communication workers. Computer programmers, database administrators, web developers, software developers, writers, translators, payroll clerks, and bookkeeping workers also appear on the list.

Many of these roles involve processing information, generating or reviewing text, working with structured data, or performing routine digital tasks, all areas where generative AI and other automation tools have advanced quickly.

Still, exposure should be interpreted as the potential for jobs to change rather than a direct estimate of how many positions will ultimately be eliminated.

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To learn more about this topic, check out this graphic on the smartest AI models in 2026.

Source: https://www.visualcapitalist.com/mapped-where-u-s-jobs-are-most-exposed-to-ai/