Metro Area
AI Job Risk in Indianapolis-Carmel-Anderson, IN
Indianapolis-Carmel-Anderson, IN scores 52.7/100 for AI job risk, ranking #124 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 #124 of 396 us metro areas
Rank
#124
more exposed than most
Total Workforce
1.2 M
jobs analysed
High-Risk Jobs
37 K
3% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Indianapolis-Carmel-Anderson, IN most likely to be automated or transformed by AI
Telemarketer
490 employed
Data Entry Keyer
1.4 K employed
Transcriptionist
360 employed
Tax Preparer
720 employed
Customer Service Representative
23 K employed
Bookkeeper
9.3 K employed
Computer Programmer
1.3 K employed
Copywriter
280 employed
Translator
630 employed
Software Engineer
140 employed
Safest from AI
Jobs in Indianapolis-Carmel-Anderson, IN least likely to be affected by AI
Tree Trimmer
410 employed
Roofer
840 employed
Landscaper
6.5 K employed
Zookeeper
2.4 K employed
Lifeguard
970 employed
Tile Setter
300 employed
Glazier
440 employed
Janitor
14 K employed
Concrete Finisher
1.6 K employed
Pest Control Technician
550 employed
What this means
The exposure score (52.7/100) measures how much of Indianapolis-Carmel-Anderson, 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 Indianapolis-Carmel-Anderson, 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 34% of occupation categories in this area