Metro Area
AI Job Risk in Phoenix-Mesa-Scottsdale, AZ
Phoenix-Mesa-Scottsdale, AZ scores 55.0/100 for AI job risk, ranking #27 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 #27 of 396 us metro areas
Rank
#27
more exposed than most
Total Workforce
2.4 M
jobs analysed
High-Risk Jobs
110 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Phoenix-Mesa-Scottsdale, AZ most likely to be automated or transformed by AI
Telemarketer
2.2 K employed
Data Entry Keyer
2.5 K employed
Transcriptionist
1.6 K employed
Customer Service Representative
77 K employed
Tax Preparer
1.8 K employed
Bookkeeper
19 K employed
Computer Programmer
2.3 K employed
Copywriter
420 employed
Translator
1.3 K employed
Web Developer
1.4 K employed
Safest from AI
Jobs in Phoenix-Mesa-Scottsdale, AZ least likely to be affected by AI
Tree Trimmer
340 employed
Zookeeper
3.7 K employed
Lifeguard
1.8 K employed
Landscaper
15 K employed
Roofer
2.6 K employed
Grounds Maintenance Worker
30 employed
Farm Worker
2.2 K employed
Tile Setter
1 K employed
Glazier
1.4 K employed
Concrete Finisher
5.7 K employed
What this means
The exposure score (55.0/100) measures how much of Phoenix-Mesa-Scottsdale, 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 Phoenix-Mesa-Scottsdale, 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 34% of occupation categories in this area