Metro Area
AI Job Risk in McAllen-Edinburg-Mission, TX
McAllen-Edinburg-Mission, TX scores 53.6/100 for AI job risk, ranking #78 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 #78 of 396 us metro areas
Rank
#78
more exposed than most
Total Workforce
290 K
jobs analysed
High-Risk Jobs
11 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in McAllen-Edinburg-Mission, TX most likely to be automated or transformed by AI
Data Entry Keyer
490 employed
Transcriptionist
70 employed
Tax Preparer
200 employed
Bookkeeper
2.5 K employed
Customer Service Representative
7.5 K employed
Computer Programmer
50 employed
Payroll Clerk
280 employed
Software Developer
340 employed
Financial Analyst
Web Developer
50 employed
Safest from AI
Jobs in McAllen-Edinburg-Mission, TX least likely to be affected by AI
Roofer
110 employed
Landscaper
920 employed
Zookeeper
240 employed
Lifeguard
180 employed
Janitor
3.7 K employed
Pest Control Technician
100 employed
Massage Therapist
120 employed
Concrete Finisher
290 employed
Farm Worker
230 employed
Glazier
60 employed
What this means
The exposure score (53.6/100) measures how much of McAllen-Edinburg-Mission, TX'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 McAllen-Edinburg-Mission, TX, 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 40% of occupation categories in this area