Metro Area
AI Job Risk in Greenville-Anderson-Mauldin, SC
Greenville-Anderson-Mauldin, SC scores 53.2/100 for AI job risk, ranking #92 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 #92 of 396 us metro areas
Rank
#92
more exposed than most
Total Workforce
450 K
jobs analysed
High-Risk Jobs
16 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Greenville-Anderson-Mauldin, SC most likely to be automated or transformed by AI
Telemarketer
280 employed
Data Entry Keyer
280 employed
Transcriptionist
110 employed
Bookkeeper
3.7 K employed
Customer Service Representative
11 K employed
Tax Preparer
310 employed
Copywriter
120 employed
Computer Programmer
180 employed
Translator
50 employed
Web Developer
150 employed
Safest from AI
Jobs in Greenville-Anderson-Mauldin, SC least likely to be affected by AI
Tree Trimmer
90 employed
Landscaper
2.4 K employed
Lifeguard
470 employed
Zookeeper
820 employed
Roofer
170 employed
Glazier
140 employed
Concrete Finisher
320 employed
Massage Therapist
260 employed
Farm Worker
90 employed
Janitor
5.9 K employed
What this means
The exposure score (53.2/100) measures how much of Greenville-Anderson-Mauldin, SC'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 Greenville-Anderson-Mauldin, SC, 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 37% of occupation categories in this area