Metro Area
AI Job Risk in Naples-Immokalee-Marco Island, FL
Naples-Immokalee-Marco Island, FL scores 47.7/100 for AI job risk, ranking #382 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 #382 of 396 us metro areas
Rank
#382
less exposed than most
Total Workforce
170 K
jobs analysed
High-Risk Jobs
6.2 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Naples-Immokalee-Marco Island, FL most likely to be automated or transformed by AI
Data Entry Keyer
260 employed
Customer Service Representative
2.5 K employed
Tax Preparer
80 employed
Bookkeeper
2.1 K employed
Copywriter
70 employed
Payroll Clerk
150 employed
Bank Teller
270 employed
Software Engineer
30 employed
Software Developer
640 employed
Market Research Analyst
160 employed
Safest from AI
Jobs in Naples-Immokalee-Marco Island, FL least likely to be affected by AI
Zookeeper
310 employed
Roofer
770 employed
Landscaper
4.2 K employed
Lifeguard
60 employed
Pest Control Technician
200 employed
Janitor
2.7 K employed
Tile Setter
350 employed
Farm Worker
400 employed
Massage Therapist
280 employed
Concrete Finisher
570 employed
What this means
The exposure score (47.7/100) measures how much of Naples-Immokalee-Marco Island, 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 Naples-Immokalee-Marco Island, 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 44% of occupation categories in this area