AI Job Risk US Metro Areas Minneapolis-St. Paul-Bloomington, MN-WI
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Metro Area

AI Job Risk in Minneapolis-St. Paul-Bloomington, MN-WI

Minneapolis-St. Paul-Bloomington, MN-WI scores 55.3/100 for AI job risk, ranking #22 out of 396 us metro areas. That puts it in the top third for AI exposure — a relatively large share of local jobs are in occupations that AI can automate or significantly change.

55.3 /100
Very High Risk

Ranked #22 of 396 us metro areas

55.3
Low risk High risk

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Rank

#22

more exposed than most

Total Workforce

2.1 M

jobs analysed

High-Risk Jobs

69 K

3% of workforce

Out of

396

us metro areas

Most at Risk

Jobs in Minneapolis-St. Paul-Bloomington, MN-WI most likely to be automated or transformed by AI

1

Data Entry Keyer

980 employed

95
2

Telemarketer

850 employed

95
3

Transcriptionist

230 employed

92
4

Tax Preparer

790 employed

90
5

Customer Service Representative

45 K employed

90
6

Bookkeeper

18 K employed

90
7

Copywriter

750 employed

88
8

Computer Programmer

1.7 K employed

88
9

Proofreader

80 employed

88
10

Translator

940 employed

86

Safest from AI

Jobs in Minneapolis-St. Paul-Bloomington, MN-WI least likely to be affected by AI

1

Tree Trimmer

8
2

Lifeguard

1.2 K employed

10
3

Roofer

1.3 K employed

10
4

Landscaper

11 K employed

10
5

Zookeeper

3 K employed

10
6

Grounds Maintenance Worker

80 employed

10
7

Farm Worker

650 employed

12
8

Glazier

450 employed

12
9

Massage Therapist

1.1 K employed

12
10

Pest Control Technician

340 employed

12

What this means

The exposure score (55.3/100) measures how much of Minneapolis-St. Paul-Bloomington, MN-WI'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 Minneapolis-St. Paul-Bloomington, MN-WI, 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 33% of occupation categories in this area

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