Metro Area
AI Job Risk in Washington-Arlington-Alexandria, DC-VA-MD-WV
Washington-Arlington-Alexandria, DC-VA-MD-WV scores 57.8/100 for AI job risk, ranking #4 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 #4 of 396 us metro areas
Rank
#4
more exposed than most
Total Workforce
3.4 M
jobs analysed
High-Risk Jobs
73 K
2% of workforce
Out of
396
us metro areas
Most at Risk
Jobs in Washington-Arlington-Alexandria, DC-VA-MD-WV most likely to be automated or transformed by AI
Data Entry Keyer
2.7 K employed
Telemarketer
410 employed
Transcriptionist
600 employed
Customer Service Representative
39 K employed
Tax Preparer
1.9 K employed
Bookkeeper
20 K employed
Computer Programmer
3.7 K employed
Proofreader
210 employed
Copywriter
2.5 K employed
Translator
2 K employed
Safest from AI
Jobs in Washington-Arlington-Alexandria, DC-VA-MD-WV least likely to be affected by AI
Tree Trimmer
620 employed
Zookeeper
6 K employed
Roofer
2.1 K employed
Lifeguard
2.9 K employed
Grounds Maintenance Worker
220 employed
Landscaper
17 K employed
Farm Worker
1 K employed
Glazier
1.1 K employed
Massage Therapist
1.4 K employed
Pest Control Technician
1.5 K employed
What this means
The exposure score (57.8/100) measures how much of Washington-Arlington-Alexandria, DC-VA-MD-WV'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 Washington-Arlington-Alexandria, DC-VA-MD-WV, 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