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Metro Area

AI Job Risk in Missoula, MT

Missoula, MT scores 52.1/100 for AI job risk, ranking #157 out of 396 us metro areas. That puts it around the middle — a moderate mix of AI-vulnerable and AI-resistant jobs in the local economy.

52.1 /100
High Risk

Ranked #157 of 396 us metro areas

52.1
Low risk High risk

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Rank

#157

around the middle

Total Workforce

62 K

jobs analysed

High-Risk Jobs

2.7 K

4% of workforce

Out of

396

us metro areas

Most at Risk

Jobs in Missoula, MT most likely to be automated or transformed by AI

1

Data Entry Keyer

50 employed

95
2

Customer Service Representative

830 employed

90
3

Tax Preparer

90
4

Bookkeeper

940 employed

90
5

Computer Programmer

110 employed

88
6

Web Developer

85
7

Bank Teller

220 employed

85
8

Software Developer

400 employed

85
9

Payroll Clerk

80 employed

85
10

Technical Writer

30 employed

84

Safest from AI

Jobs in Missoula, MT least likely to be affected by AI

1

Landscaper

330 employed

10
2

Zookeeper

120 employed

10
3

Roofer

80 employed

10
4

Grounds Maintenance Worker

30 employed

10
5

Farm Worker

60 employed

12
6

Massage Therapist

80 employed

12
7

Janitor

1.2 K employed

12
8

Concrete Finisher

120 employed

12
9

Tile Setter

30 employed

12
10

Childcare Worker

240 employed

15

What this means

The exposure score (52.1/100) measures how much of Missoula, MT's workforce is in jobs that AI can automate or significantly change. It's not a prediction that jobs will disappear — it's a measure of how exposed the local economy is to AI-driven change.

How it works: We score 289 occupations from 0 (AI has little impact) to 100 (AI can do most of the job) using 10 research sources. We then match these scores to real employment data for Missoula, MT, weighting by how many people actually work in each role.

High-risk jobs (score 60+) include roles like customer service, data entry, and bookkeeping where AI can already handle most tasks. Low-risk jobs (score under 30) include trades, healthcare, and social work where physical presence or human judgement is essential.

Full methodology · Data covers 44% of occupation categories in this area

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