Metro Area
AI Job Risk in Norwich-New London-Westerly, CT-RI
Norwich-New London-Westerly, CT-RI scores 49.8/100 for AI job risk, ranking #311 out of 396 us metro areas. That puts it in the bottom third for AI exposure — the local economy has relatively fewer jobs in AI-vulnerable occupations compared to other areas.
Ranked #311 of 396 us metro areas
Rank
#311
less exposed than most
Total Workforce
120 K
jobs analysed
High-Risk Jobs
3.6 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Norwich-New London-Westerly, CT-RI most likely to be automated or transformed by AI
Data Entry Keyer
40 employed
Tax Preparer
30 employed
Customer Service Representative
1.8 K employed
Bookkeeper
1 K employed
Copywriter
60 employed
Computer Programmer
100 employed
Translator
40 employed
Web Developer
70 employed
Bank Teller
290 employed
Payroll Clerk
110 employed
Safest from AI
Jobs in Norwich-New London-Westerly, CT-RI least likely to be affected by AI
Tree Trimmer
40 employed
Zookeeper
250 employed
Landscaper
830 employed
Lifeguard
80 employed
Janitor
2.3 K employed
Pest Control Technician
30 employed
Farm Worker
50 employed
Massage Therapist
100 employed
Childcare Worker
460 employed
Hair Stylist
370 employed
What this means
The exposure score (49.8/100) measures how much of Norwich-New London-Westerly, CT-RI'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 Norwich-New London-Westerly, CT-RI, 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 44% of occupation categories in this area