Metro Area
AI Job Risk in Las Vegas-Henderson-Paradise, NV
Las Vegas-Henderson-Paradise, NV scores 48.5/100 for AI job risk, ranking #362 out of 396 us metro areas. That puts it in the bottom third for AI exposure — the local economy has relatively fewer jobs in AI-vulnerable occupations compared to other areas.
Ranked #362 of 396 us metro areas
Rank
#362
less exposed than most
Total Workforce
1.1 M
jobs analysed
High-Risk Jobs
37 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Las Vegas-Henderson-Paradise, NV most likely to be automated or transformed by AI
Telemarketer
2.4 K employed
Data Entry Keyer
570 employed
Transcriptionist
220 employed
Customer Service Representative
24 K employed
Tax Preparer
530 employed
Bookkeeper
8.4 K employed
Computer Programmer
450 employed
Copywriter
190 employed
Translator
190 employed
Court Reporter
Safest from AI
Jobs in Las Vegas-Henderson-Paradise, NV least likely to be affected by AI
Lifeguard
1.8 K employed
Grounds Maintenance Worker
230 employed
Roofer
1.3 K employed
Landscaper
6.6 K employed
Zookeeper
1.9 K employed
Massage Therapist
1.9 K employed
Tile Setter
1.4 K employed
Farm Worker
350 employed
Concrete Finisher
2.5 K employed
Glazier
480 employed
What this means
The exposure score (48.5/100) measures how much of Las Vegas-Henderson-Paradise, NV'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 Las Vegas-Henderson-Paradise, NV, 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 35% of occupation categories in this area