Metro Area
AI Job Risk in Louisville/Jefferson County, KY-IN
Louisville/Jefferson County, KY-IN scores 52.1/100 for AI job risk, ranking #163 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 #163 of 396 us metro areas
Rank
#163
around the middle
Total Workforce
700 K
jobs analysed
High-Risk Jobs
28 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Louisville/Jefferson County, KY-IN most likely to be automated or transformed by AI
Data Entry Keyer
950 employed
Transcriptionist
200 employed
Tax Preparer
260 employed
Customer Service Representative
16 K employed
Bookkeeper
7 K employed
Copywriter
190 employed
Computer Programmer
370 employed
Proofreader
50 employed
Translator
220 employed
Software Developer
2.7 K employed
Safest from AI
Jobs in Louisville/Jefferson County, KY-IN least likely to be affected by AI
Zookeeper
2.3 K employed
Roofer
480 employed
Grounds Maintenance Worker
40 employed
Lifeguard
450 employed
Landscaper
3.3 K employed
Tile Setter
140 employed
Concrete Finisher
820 employed
Pest Control Technician
360 employed
Janitor
8.8 K employed
Farm Worker
70 employed
What this means
The exposure score (52.1/100) measures how much of Louisville/Jefferson County, KY-IN'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 Louisville/Jefferson County, KY-IN, 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 37% of occupation categories in this area