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State

AI Job Risk in Michigan

Michigan scores 53.1/100 for AI job risk, ranking #26 out of 54 us states. That puts it around the middle β€” a moderate mix of AI-vulnerable and AI-resistant jobs in the local economy.

53.1 /100
Medium Risk

Ranked #26 of 54 us states

53.1
Low risk High risk

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Rank

#26

around the middle

Total Workforce

4.7 M

jobs analysed

High-Risk Jobs

130 K

3% of workforce

Out of

54

us states

Most at Risk

Jobs in Michigan most likely to be automated or transformed by AI

1

Telemarketer

640 employed

95
2

Data Entry Keyer

3.1 K employed

95
3

Transcriptionist

1.2 K employed

92
4

Bookkeeper

40 K employed

90
5

Tax Preparer

2.6 K employed

90
6

Customer Service Representative

80 K employed

90
7

Computer Programmer

4.1 K employed

88
8

Copywriter

700 employed

88
9

Proofreader

130 employed

88
10

Translator

670 employed

86

Safest from AI

Jobs in Michigan least likely to be affected by AI

1

Tree Trimmer

3.2 K employed

8
2

Roofer

3 K employed

10
3

Zookeeper

6.9 K employed

10
4

Lifeguard

2.6 K employed

10
5

Park Ranger

60 employed

10
6

Landscaper

30 K employed

10
7

Grounds Maintenance Worker

220 employed

10
8

Glazier

1.5 K employed

12
9

Pest Control Technician

1.2 K employed

12
10

Janitor

64 K employed

12

What this means

The exposure score (53.1/100) measures how much of Michigan's workforce is in jobs that AI can automate or significantly change. It's not a prediction that jobs will disappear β€” 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 Michigan, 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 31% of occupation categories in this area

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