State
AI Job Risk in Maryland
Maryland scores 54.3/100 for AI job risk, ranking #11 out of 54 us states. That puts it in the top third for AI exposure β a relatively large share of local jobs are in occupations that AI can automate or significantly change.
Ranked #11 of 54 us states
Rank
#11
more exposed than most
Total Workforce
2.9 M
jobs analysed
High-Risk Jobs
75 K
3% of workforce
Out of
54
us states
Most at Risk
Jobs in Maryland most likely to be automated or transformed by AI
Telemarketer
800 employed
Data Entry Keyer
2 K employed
Transcriptionist
400 employed
Tax Preparer
980 employed
Bookkeeper
22 K employed
Customer Service Representative
44 K employed
Copywriter
740 employed
Proofreader
120 employed
Computer Programmer
3 K employed
Translator
1.2 K employed
Safest from AI
Jobs in Maryland least likely to be affected by AI
Tree Trimmer
660 employed
Grounds Maintenance Worker
300 employed
Landscaper
17 K employed
Roofer
2.7 K employed
Lifeguard
2.7 K employed
Zookeeper
5.2 K employed
Concrete Finisher
3.2 K employed
Pest Control Technician
1.7 K employed
Tile Setter
220 employed
Massage Therapist
1.2 K employed
What this means
The exposure score (54.3/100) measures how much of Maryland's workforce is in jobs that AI can automate or significantly change. It's not a prediction that jobs will disappear β 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 Maryland, 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 32% of occupation categories in this area