Metro Area
AI Job Risk in Lake Havasu City-Kingman, AZ
Lake Havasu City-Kingman, AZ scores 50.5/100 for AI job risk, ranking #266 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 #266 of 396 us metro areas
Rank
#266
less exposed than most
Total Workforce
52 K
jobs analysed
High-Risk Jobs
1.9 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Lake Havasu City-Kingman, AZ most likely to be automated or transformed by AI
Data Entry Keyer
50 employed
Tax Preparer
50 employed
Customer Service Representative
890 employed
Bookkeeper
450 employed
Software Developer
120 employed
Payroll Clerk
50 employed
Bank Teller
150 employed
Graphic Designer
50 employed
Legal Secretary
50 employed
Paralegal
60 employed
Safest from AI
Jobs in Lake Havasu City-Kingman, AZ least likely to be affected by AI
Landscaper
310 employed
Zookeeper
100 employed
Roofer
60 employed
Lifeguard
70 employed
Tile Setter
70 employed
Pest Control Technician
110 employed
Janitor
570 employed
Concrete Finisher
210 employed
Drywall Installer
110 employed
Childcare Worker
110 employed
What this means
The exposure score (50.5/100) measures how much of Lake Havasu City-Kingman, AZ'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 Lake Havasu City-Kingman, AZ, 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 49% of occupation categories in this area