Metro Area
AI Job Risk in Fayetteville-Springdale-Rogers, AR-MO
Fayetteville-Springdale-Rogers, AR-MO scores 52.1/100 for AI job risk, ranking #156 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 #156 of 396 us metro areas
Rank
#156
around the middle
Total Workforce
270 K
jobs analysed
High-Risk Jobs
7.9 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Fayetteville-Springdale-Rogers, AR-MO most likely to be automated or transformed by AI
Data Entry Keyer
190 employed
Transcriptionist
90 employed
Customer Service Representative
4 K employed
Bookkeeper
2.1 K employed
Tax Preparer
110 employed
Copywriter
60 employed
Computer Programmer
460 employed
Translator
40 employed
Financial Analyst
50 employed
Bank Teller
800 employed
Safest from AI
Jobs in Fayetteville-Springdale-Rogers, AR-MO least likely to be affected by AI
Tree Trimmer
60 employed
Lifeguard
100 employed
Landscaper
1.4 K employed
Zookeeper
570 employed
Pest Control Technician
240 employed
Tile Setter
80 employed
Janitor
3.4 K employed
Farm Worker
60 employed
Massage Therapist
90 employed
Concrete Finisher
390 employed
What this means
The exposure score (52.1/100) measures how much of Fayetteville-Springdale-Rogers, AR-MO'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 Fayetteville-Springdale-Rogers, AR-MO, 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 41% of occupation categories in this area