Metro Area
AI Job Risk in Pensacola-Ferry Pass-Brent, FL
Pensacola-Ferry Pass-Brent, FL scores 52.7/100 for AI job risk, ranking #127 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 #127 of 396 us metro areas
Rank
#127
more exposed than most
Total Workforce
190 K
jobs analysed
High-Risk Jobs
7.1 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Pensacola-Ferry Pass-Brent, FL most likely to be automated or transformed by AI
Data Entry Keyer
230 employed
Bookkeeper
1.9 K employed
Customer Service Representative
3.2 K employed
Computer Programmer
50 employed
Translator
30 employed
Payroll Clerk
200 employed
Financial Analyst
440 employed
Software Engineer
40 employed
Web Developer
70 employed
Software Developer
930 employed
Safest from AI
Jobs in Pensacola-Ferry Pass-Brent, FL least likely to be affected by AI
Tree Trimmer
80 employed
Zookeeper
290 employed
Lifeguard
70 employed
Roofer
340 employed
Landscaper
1.3 K employed
Glazier
100 employed
Concrete Finisher
240 employed
Massage Therapist
110 employed
Tile Setter
Janitor
2.8 K employed
What this means
The exposure score (52.7/100) measures how much of Pensacola-Ferry Pass-Brent, FL'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 Pensacola-Ferry Pass-Brent, FL, 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 43% of occupation categories in this area