Metro Area
AI Job Risk in Atlantic City-Hammonton, NJ
Atlantic City-Hammonton, NJ scores 48.1/100 for AI job risk, ranking #372 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 #372 of 396 us metro areas
Rank
#372
less exposed than most
Total Workforce
130 K
jobs analysed
High-Risk Jobs
3.9 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Atlantic City-Hammonton, NJ most likely to be automated or transformed by AI
Data Entry Keyer
90 employed
Tax Preparer
50 employed
Bookkeeper
1.2 K employed
Customer Service Representative
1.5 K employed
Copywriter
40 employed
Computer Programmer
140 employed
Bank Teller
150 employed
Software Developer
580 employed
Payroll Clerk
140 employed
Market Research Analyst
50 employed
Safest from AI
Jobs in Atlantic City-Hammonton, NJ least likely to be affected by AI
Tree Trimmer
50 employed
Lifeguard
90 employed
Landscaper
1.1 K employed
Roofer
80 employed
Zookeeper
200 employed
Farm Worker
110 employed
Concrete Finisher
150 employed
Pest Control Technician
50 employed
Tile Setter
50 employed
Janitor
3.2 K employed
What this means
The exposure score (48.1/100) measures how much of Atlantic City-Hammonton, NJ'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 Atlantic City-Hammonton, NJ, 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