Metro Area
AI Job Risk in California-Lexington Park, MD
California-Lexington Park, MD scores 60.7/100 for AI job risk, ranking #1 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 #1 of 396 us metro areas
Rank
#1
more exposed than most
Total Workforce
47 K
jobs analysed
High-Risk Jobs
2.3 K
5% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in California-Lexington Park, MD most likely to be automated or transformed by AI
Bookkeeper
260 employed
Customer Service Representative
510 employed
Computer Programmer
110 employed
Payroll Clerk
30 employed
Bank Teller
60 employed
Software Developer
710 employed
Technical Writer
80 employed
Market Research Analyst
400 employed
Bill Collector
40 employed
Paralegal
50 employed
Safest from AI
Jobs in California-Lexington Park, MD least likely to be affected by AI
Zookeeper
140 employed
Landscaper
210 employed
Janitor
550 employed
Pest Control Technician
30 employed
Hair Stylist
140 employed
Childcare Worker
50 employed
Housekeeper
160 employed
Construction Worker
250 employed
Nursing Assistant
220 employed
Plumber
140 employed
What this means
The exposure score (60.7/100) measures how much of California-Lexington Park, MD'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 California-Lexington Park, MD, 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 49% of occupation categories in this area