Metro Area
AI Job Risk in San Luis Obispo-Paso Robles-Arroyo Grande, CA
San Luis Obispo-Paso Robles-Arroyo Grande, CA scores 47.9/100 for AI job risk, ranking #376 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 #376 of 396 us metro areas
Rank
#376
less exposed than most
Total Workforce
120 K
jobs analysed
High-Risk Jobs
3.3 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in San Luis Obispo-Paso Robles-Arroyo Grande, CA most likely to be automated or transformed by AI
Data Entry Keyer
50 employed
Customer Service Representative
930 employed
Tax Preparer
60 employed
Bookkeeper
1.3 K employed
Computer Programmer
80 employed
Translator
50 employed
Bank Teller
210 employed
Software Developer
440 employed
Web Developer
70 employed
Payroll Clerk
140 employed
Safest from AI
Jobs in San Luis Obispo-Paso Robles-Arroyo Grande, CA least likely to be affected by AI
Zookeeper
320 employed
Lifeguard
170 employed
Grounds Maintenance Worker
50 employed
Landscaper
1.2 K employed
Roofer
230 employed
Massage Therapist
120 employed
Glazier
70 employed
Tile Setter
100 employed
Farm Worker
3 K employed
Concrete Finisher
320 employed
What this means
The exposure score (47.9/100) measures how much of San Luis Obispo-Paso Robles-Arroyo Grande, 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 San Luis Obispo-Paso Robles-Arroyo Grande, 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 43% of occupation categories in this area