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Metro Area

AI Job Risk in Ames, IA

Ames, IA scores 51.8/100 for AI job risk, ranking #180 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.

51.8 /100
Medium Risk

Ranked #180 of 396 us metro areas

51.8
Low risk High risk

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Rank

#180

around the middle

Total Workforce

43 K

jobs analysed

High-Risk Jobs

3.1 K

7% of workforce

Out of

396

us metro areas

Most at Risk

Jobs in Ames, IA most likely to be automated or transformed by AI

1

Data Entry Keyer

40 employed

95
2

Customer Service Representative

590 employed

90
3

Bookkeeper

380 employed

90
4

Computer Programmer

50 employed

88
5

Software Developer

410 employed

85
6

Bank Teller

150 employed

85
7

Technical Writer

40 employed

84
8

QA Tester

60 employed

82
9

Graphic Designer

90 employed

82
10

Cashier

1.3 K employed

80

Safest from AI

Jobs in Ames, IA least likely to be affected by AI

1

Tree Trimmer

40 employed

8
2

Landscaper

290 employed

10
3

Roofer

40 employed

10
4

Zookeeper

200 employed

10
5

Janitor

870 employed

12
6

Massage Therapist

40 employed

12
7

Childcare Worker

230 employed

15
8

Hair Stylist

150 employed

15
9

Housekeeper

220 employed

15
10

Painter

50 employed

15

What this means

The exposure score (51.8/100) measures how much of Ames, IA'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 Ames, IA, 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 48% of occupation categories in this area

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