Metro Area
AI Job Risk in College Station-Bryan, TX
College Station-Bryan, TX scores 53.0/100 for AI job risk, ranking #104 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 #104 of 396 us metro areas
Rank
#104
more exposed than most
Total Workforce
130 K
jobs analysed
High-Risk Jobs
5.6 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in College Station-Bryan, TX most likely to be automated or transformed by AI
Data Entry Keyer
200 employed
Transcriptionist
60 employed
Customer Service Representative
3.2 K employed
Bookkeeper
1 K employed
Computer Programmer
100 employed
Payroll Clerk
100 employed
Bank Teller
160 employed
Software Developer
580 employed
Web Developer
50 employed
Market Research Analyst
50 employed
Safest from AI
Jobs in College Station-Bryan, TX least likely to be affected by AI
Roofer
50 employed
Landscaper
840 employed
Zookeeper
230 employed
Pest Control Technician
90 employed
Janitor
1.7 K employed
Concrete Finisher
270 employed
Painter
90 employed
Drywall Installer
40 employed
Childcare Worker
640 employed
Bricklayer
50 employed
What this means
The exposure score (53.0/100) measures how much of College Station-Bryan, 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 College Station-Bryan, 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 42% of occupation categories in this area