Metro Area
AI Job Risk in Blacksburg-Christiansburg-Radford, VA
Blacksburg-Christiansburg-Radford, VA scores 51.2/100 for AI job risk, ranking #222 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 #222 of 396 us metro areas
Rank
#222
around the middle
Total Workforce
67 K
jobs analysed
High-Risk Jobs
2.7 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Blacksburg-Christiansburg-Radford, VA most likely to be automated or transformed by AI
Data Entry Keyer
50 employed
Customer Service Representative
870 employed
Bookkeeper
780 employed
Computer Programmer
30 employed
Bank Teller
170 employed
Web Developer
60 employed
Payroll Clerk
50 employed
Software Developer
560 employed
Paralegal
50 employed
QA Tester
60 employed
Safest from AI
Jobs in Blacksburg-Christiansburg-Radford, VA least likely to be affected by AI
Zookeeper
130 employed
Lifeguard
110 employed
Landscaper
510 employed
Concrete Finisher
110 employed
Janitor
1.2 K employed
Childcare Worker
200 employed
Hair Stylist
170 employed
Housekeeper
540 employed
Painter
60 employed
Construction Worker
420 employed
What this means
The exposure score (51.2/100) measures how much of Blacksburg-Christiansburg-Radford, VA'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 Blacksburg-Christiansburg-Radford, VA, 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 45% of occupation categories in this area