Metro Area
AI Job Risk in Tampa-St. Petersburg-Clearwater, FL
Tampa-St. Petersburg-Clearwater, FL scores 55.2/100 for AI job risk, ranking #24 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 #24 of 396 us metro areas
Rank
#24
more exposed than most
Total Workforce
1.5 M
jobs analysed
High-Risk Jobs
62 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Tampa-St. Petersburg-Clearwater, FL most likely to be automated or transformed by AI
Telemarketer
2.1 K employed
Data Entry Keyer
2.4 K employed
Transcriptionist
280 employed
Bookkeeper
16 K employed
Tax Preparer
640 employed
Customer Service Representative
39 K employed
Computer Programmer
890 employed
Proofreader
60 employed
Copywriter
350 employed
Translator
620 employed
Safest from AI
Jobs in Tampa-St. Petersburg-Clearwater, FL least likely to be affected by AI
Tree Trimmer
Lifeguard
880 employed
Zookeeper
2.5 K employed
Roofer
3.3 K employed
Grounds Maintenance Worker
60 employed
Landscaper
8.8 K employed
Glazier
620 employed
Tile Setter
600 employed
Massage Therapist
1.5 K employed
Janitor
17 K employed
What this means
The exposure score (55.2/100) measures how much of Tampa-St. Petersburg-Clearwater, 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 Tampa-St. Petersburg-Clearwater, 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 34% of occupation categories in this area