Metro Area
AI Job Risk in Detroit-Warren-Dearborn, MI
Detroit-Warren-Dearborn, MI scores 54.2/100 for AI job risk, ranking #49 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.
Ranked #49 of 396 us metro areas
Rank
#49
more exposed than most
Total Workforce
2 M
jobs analysed
High-Risk Jobs
59 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Detroit-Warren-Dearborn, MI most likely to be automated or transformed by AI
Telemarketer
380 employed
Data Entry Keyer
1.4 K employed
Transcriptionist
360 employed
Bookkeeper
17 K employed
Customer Service Representative
37 K employed
Tax Preparer
1.4 K employed
Proofreader
50 employed
Computer Programmer
1.8 K employed
Copywriter
250 employed
Translator
290 employed
Safest from AI
Jobs in Detroit-Warren-Dearborn, MI least likely to be affected by AI
Tree Trimmer
1.1 K employed
Roofer
1.3 K employed
Landscaper
12 K employed
Grounds Maintenance Worker
100 employed
Zookeeper
2.9 K employed
Lifeguard
950 employed
Glazier
800 employed
Janitor
26 K employed
Tile Setter
330 employed
Farm Worker
720 employed
What this means
The exposure score (54.2/100) measures how much of Detroit-Warren-Dearborn, MI'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 Detroit-Warren-Dearborn, MI, 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