Metro Area
AI Job Risk in Charlotte-Concord-Gastonia, NC-SC
Charlotte-Concord-Gastonia, NC-SC scores 54.9/100 for AI job risk, ranking #30 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 #30 of 396 us metro areas
Rank
#30
more exposed than most
Total Workforce
1.4 M
jobs analysed
High-Risk Jobs
48 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Charlotte-Concord-Gastonia, NC-SC most likely to be automated or transformed by AI
Data Entry Keyer
1.1 K employed
Telemarketer
910 employed
Transcriptionist
240 employed
Customer Service Representative
29 K employed
Tax Preparer
570 employed
Bookkeeper
13 K employed
Computer Programmer
670 employed
Copywriter
640 employed
Translator
360 employed
Financial Analyst
1.7 K employed
Safest from AI
Jobs in Charlotte-Concord-Gastonia, NC-SC least likely to be affected by AI
Tree Trimmer
270 employed
Lifeguard
1.7 K employed
Roofer
950 employed
Zookeeper
2.8 K employed
Landscaper
8.7 K employed
Pest Control Technician
980 employed
Farm Worker
340 employed
Massage Therapist
750 employed
Tile Setter
190 employed
Concrete Finisher
1.6 K employed
What this means
The exposure score (54.9/100) measures how much of Charlotte-Concord-Gastonia, NC-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 Charlotte-Concord-Gastonia, NC-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 34% of occupation categories in this area