Metro Area
AI Job Risk in Oxnard-Thousand Oaks-Ventura, CA
Oxnard-Thousand Oaks-Ventura, CA scores 52.1/100 for AI job risk, ranking #160 out of 396 us metro areas. That puts it around the middle — a moderate mix of AI-vulnerable and AI-resistant jobs in the local economy.
Ranked #160 of 396 us metro areas
Rank
#160
around the middle
Total Workforce
330 K
jobs analysed
High-Risk Jobs
8.2 K
2% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Oxnard-Thousand Oaks-Ventura, CA most likely to be automated or transformed by AI
Data Entry Keyer
250 employed
Transcriptionist
70 employed
Bookkeeper
3.4 K employed
Tax Preparer
240 employed
Customer Service Representative
3.6 K employed
Computer Programmer
200 employed
Copywriter
90 employed
Translator
70 employed
Web Developer
190 employed
Financial Analyst
60 employed
Safest from AI
Jobs in Oxnard-Thousand Oaks-Ventura, CA least likely to be affected by AI
Tree Trimmer
180 employed
Landscaper
2.8 K employed
Lifeguard
330 employed
Grounds Maintenance Worker
Zookeeper
580 employed
Pest Control Technician
340 employed
Glazier
180 employed
Farm Worker
4.5 K employed
Tile Setter
170 employed
Massage Therapist
330 employed
What this means
The exposure score (52.1/100) measures how much of Oxnard-Thousand Oaks-Ventura, CA'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 Oxnard-Thousand Oaks-Ventura, CA, 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 39% of occupation categories in this area