Metro Area
AI Job Risk in Chicago-Naperville-Elgin, IL-IN-WI
Chicago-Naperville-Elgin, IL-IN-WI scores 53.0/100 for AI job risk, ranking #103 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 #103 of 396 us metro areas
Rank
#103
more exposed than most
Total Workforce
4.8 M
jobs analysed
High-Risk Jobs
130 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Chicago-Naperville-Elgin, IL-IN-WI most likely to be automated or transformed by AI
Data Entry Keyer
6.1 K employed
Telemarketer
2.5 K employed
Transcriptionist
2.2 K employed
Bookkeeper
36 K employed
Customer Service Representative
82 K employed
Tax Preparer
970 employed
Copywriter
2 K employed
Computer Programmer
1.3 K employed
Proofreader
280 employed
Translator
1.1 K employed
Safest from AI
Jobs in Chicago-Naperville-Elgin, IL-IN-WI least likely to be affected by AI
Tree Trimmer
450 employed
Landscaper
29 K employed
Lifeguard
5.8 K employed
Roofer
4.5 K employed
Zookeeper
8.4 K employed
Grounds Maintenance Worker
Massage Therapist
3.3 K employed
Janitor
73 K employed
Concrete Finisher
4.6 K employed
Farm Worker
1 K employed
What this means
The exposure score (53.0/100) measures how much of Chicago-Naperville-Elgin, IL-IN-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 Chicago-Naperville-Elgin, IL-IN-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 32% of occupation categories in this area