State
AI Job Risk in Minnesota
Minnesota scores 54.2/100 for AI job risk, ranking #12 out of 54 us states. 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.
Ranked #12 of 54 us states
Rank
#12
more exposed than most
Total Workforce
3.1 M
jobs analysed
High-Risk Jobs
98 K
3% of workforce
Out of
54
us states
Most at Risk
Jobs in Minnesota most likely to be automated or transformed by AI
Telemarketer
980 employed
Data Entry Keyer
1.4 K employed
Transcriptionist
430 employed
Customer Service Representative
62 K employed
Bookkeeper
28 K employed
Tax Preparer
1.1 K employed
Computer Programmer
2.1 K employed
Copywriter
940 employed
Proofreader
100 employed
Translator
1.2 K employed
Safest from AI
Jobs in Minnesota least likely to be affected by AI
Tree Trimmer
Grounds Maintenance Worker
90 employed
Landscaper
17 K employed
Lifeguard
1.8 K employed
Roofer
1.9 K employed
Zookeeper
4.2 K employed
Janitor
43 K employed
Glazier
640 employed
Pest Control Technician
440 employed
Concrete Finisher
3.4 K employed
What this means
The exposure score (54.2/100) measures how much of Minnesota'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 Minnesota, 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 32% of occupation categories in this area