Metro Area
AI Job Risk in Gulfport-Biloxi-Pascagoula, MS
Gulfport-Biloxi-Pascagoula, MS scores 49.2/100 for AI job risk, ranking #338 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 #338 of 396 us metro areas
Rank
#338
less exposed than most
Total Workforce
150 K
jobs analysed
High-Risk Jobs
4.9 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Gulfport-Biloxi-Pascagoula, MS most likely to be automated or transformed by AI
Data Entry Keyer
40 employed
Transcriptionist
50 employed
Bookkeeper
1.3 K employed
Tax Preparer
90 employed
Customer Service Representative
2.2 K employed
Computer Programmer
60 employed
Software Developer
420 employed
Payroll Clerk
170 employed
Bank Teller
470 employed
QA Tester
140 employed
Safest from AI
Jobs in Gulfport-Biloxi-Pascagoula, MS least likely to be affected by AI
Tree Trimmer
40 employed
Landscaper
840 employed
Roofer
50 employed
Zookeeper
300 employed
Lifeguard
60 employed
Pest Control Technician
170 employed
Concrete Finisher
80 employed
Massage Therapist
50 employed
Glazier
80 employed
Janitor
2.2 K employed
What this means
The exposure score (49.2/100) measures how much of Gulfport-Biloxi-Pascagoula, MS'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 Gulfport-Biloxi-Pascagoula, MS, 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