State
AI Job Risk in District of Columbia
District of Columbia scores 61.6/100 for AI job risk, ranking #1 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 #1 of 54 us states
Rank
#1
more exposed than most
Total Workforce
790 K
jobs analysed
High-Risk Jobs
12 K
2% of workforce
Out of
54
us states
Most at Risk
Jobs in District of Columbia most likely to be automated or transformed by AI
Data Entry Keyer
860 employed
Transcriptionist
220 employed
Bookkeeper
1.8 K employed
Customer Service Representative
5.7 K employed
Computer Programmer
1.4 K employed
Copywriter
1.3 K employed
Proofreader
40 employed
Translator
210 employed
Software Engineer
120 employed
Financial Analyst
460 employed
Safest from AI
Jobs in District of Columbia least likely to be affected by AI
Landscaper
530 employed
Grounds Maintenance Worker
40 employed
Lifeguard
360 employed
Roofer
90 employed
Zookeeper
230 employed
Massage Therapist
120 employed
Farm Worker
Janitor
15 K employed
Glazier
240 employed
Concrete Finisher
270 employed
What this means
The exposure score (61.6/100) measures how much of District of Columbia'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 District of Columbia, 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