Metro Area
AI Job Risk in Virginia Beach-Norfolk-Newport News, VA-NC
Virginia Beach-Norfolk-Newport News, VA-NC scores 52.4/100 for AI job risk, ranking #137 out of 396 us metro areas. That puts it around the middle — a moderate mix of AI-vulnerable and AI-resistant jobs in the local economy.
Ranked #137 of 396 us metro areas
Rank
#137
around the middle
Total Workforce
770 K
jobs analysed
High-Risk Jobs
24 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Virginia Beach-Norfolk-Newport News, VA-NC most likely to be automated or transformed by AI
Telemarketer
1.4 K employed
Data Entry Keyer
530 employed
Transcriptionist
330 employed
Tax Preparer
650 employed
Bookkeeper
7.3 K employed
Customer Service Representative
13 K employed
Computer Programmer
220 employed
Copywriter
260 employed
Translator
230 employed
Financial Analyst
110 employed
Safest from AI
Jobs in Virginia Beach-Norfolk-Newport News, VA-NC least likely to be affected by AI
Tree Trimmer
230 employed
Lifeguard
1.1 K employed
Roofer
450 employed
Zookeeper
1.9 K employed
Landscaper
4.3 K employed
Janitor
10 K employed
Concrete Finisher
960 employed
Pest Control Technician
870 employed
Glazier
200 employed
Farm Worker
120 employed
What this means
The exposure score (52.4/100) measures how much of Virginia Beach-Norfolk-Newport News, VA-NC'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 Virginia Beach-Norfolk-Newport News, VA-NC, 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 36% of occupation categories in this area