Metro Area
AI Job Risk in Burlington-South Burlington, VT
Burlington-South Burlington, VT scores 53.7/100 for AI job risk, ranking #73 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 #73 of 396 us metro areas
Rank
#73
more exposed than most
Total Workforce
120 K
jobs analysed
High-Risk Jobs
4.7 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Burlington-South Burlington, VT most likely to be automated or transformed by AI
Data Entry Keyer
150 employed
Bookkeeper
1.2 K employed
Tax Preparer
60 employed
Customer Service Representative
1.6 K employed
Computer Programmer
50 employed
Copywriter
30 employed
Translator
60 employed
Web Developer
90 employed
Payroll Clerk
80 employed
Software Developer
1.3 K employed
Safest from AI
Jobs in Burlington-South Burlington, VT least likely to be affected by AI
Landscaper
670 employed
Zookeeper
210 employed
Lifeguard
90 employed
Roofer
80 employed
Grounds Maintenance Worker
40 employed
Concrete Finisher
120 employed
Farm Worker
80 employed
Janitor
1.9 K employed
Glazier
90 employed
Massage Therapist
30 employed
What this means
The exposure score (53.7/100) measures how much of Burlington-South Burlington, VT'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 Burlington-South Burlington, VT, 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 42% of occupation categories in this area