Metro Area
AI Job Risk in Youngstown-Warren-Boardman, OH-PA
Youngstown-Warren-Boardman, OH-PA scores 50.1/100 for AI job risk, ranking #298 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 #298 of 396 us metro areas
Rank
#298
less exposed than most
Total Workforce
210 K
jobs analysed
High-Risk Jobs
5.9 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Youngstown-Warren-Boardman, OH-PA most likely to be automated or transformed by AI
Telemarketer
130 employed
Data Entry Keyer
180 employed
Transcriptionist
40 employed
Customer Service Representative
2.9 K employed
Tax Preparer
70 employed
Bookkeeper
1.6 K employed
Computer Programmer
30 employed
Web Developer
40 employed
Bank Teller
580 employed
Software Developer
340 employed
Safest from AI
Jobs in Youngstown-Warren-Boardman, OH-PA least likely to be affected by AI
Roofer
490 employed
Lifeguard
220 employed
Zookeeper
390 employed
Landscaper
1.2 K employed
Janitor
3.2 K employed
Massage Therapist
120 employed
Concrete Finisher
180 employed
Glazier
40 employed
Pest Control Technician
50 employed
Tile Setter
30 employed
What this means
The exposure score (50.1/100) measures how much of Youngstown-Warren-Boardman, OH-PA'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 Youngstown-Warren-Boardman, OH-PA, 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