Metro Area
AI Job Risk in Shreveport-Bossier City, LA
Shreveport-Bossier City, LA scores 50.5/100 for AI job risk, ranking #270 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 #270 of 396 us metro areas
Rank
#270
less exposed than most
Total Workforce
180 K
jobs analysed
High-Risk Jobs
7.5 K
4% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Shreveport-Bossier City, LA most likely to be automated or transformed by AI
Data Entry Keyer
100 employed
Transcriptionist
Bookkeeper
2 K employed
Customer Service Representative
4 K employed
Computer Programmer
100 employed
Web Developer
30 employed
Payroll Clerk
230 employed
Bank Teller
580 employed
Software Developer
240 employed
Bill Collector
180 employed
Safest from AI
Jobs in Shreveport-Bossier City, LA least likely to be affected by AI
Zookeeper
330 employed
Roofer
80 employed
Landscaper
710 employed
Grounds Maintenance Worker
50 employed
Pest Control Technician
180 employed
Janitor
3.7 K employed
Concrete Finisher
90 employed
Florist
60 employed
Housekeeper
1.2 K employed
Drywall Installer
70 employed
What this means
The exposure score (50.5/100) measures how much of Shreveport-Bossier City, LA'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 Shreveport-Bossier City, LA, 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