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AI and jobs in District of Columbia

How exposed District of Columbia's jobs are to AI, which common jobs here AI can do most of, and which most need a human.

Jobs in the District of Columbia have an average Still needs a human score of 71.2 out of 100 (higher is safer), 2.8 points below the US average of 74.0 and 51st of 51 among the states and DC (1st is least exposed). The largest job here is general and operations managers (36,000 workers, 72/100 ↑ safer), and of the jobs more common here than across the economy, market research analysts and marketing specialists is the most exposed (54/100 ↑ safer).

Average score
71.2/100↑ safer

2.8 points below the US average (74.0). 51st of 51, 1st is least exposed. States range from 71.2 to 75.5.

6.6%

About 45,703 people, in jobs where AI can already do much of the work.

30.8%

Census Bureau survey, June 15, 2026 to September 6, 2026. 1st of 51 for AI use.

3.32

Anthropic Economic Index, May 2026; 1.00 is the US average.

How the work in District of Columbia could shift

The share of workers in the state whose job would sit in each band, from today to 2060.

Today
21%
of workers in this state are in jobs that mostly need a person (our top band, Nah.)
0% are in jobs AI could largely do (Largely.)
By 2045
3%
of workers in this state would still be in jobs that mostly need a person (our top band, Nah.)
73% would be in jobs AI could largely do (Largely.)
By 2060
3%
of workers in this state would still be in jobs that mostly need a person (our top band, Nah.)
95% would be in jobs AI could largely do (Largely.)

Each job's score moves towards the bottom band (Largely: AI could largely do the job) by the year it could be largely automated, slowly at first and faster later, as adoption usually goes. Each job is run as ten scenarios across its replacement range, so every figure mixes early and late outcomes. The model stops at 2060. How the timeline works

Share of workers in this state in each verdict band, today to 20600%25%50%75%100%2026: 21.2% of workers in this state in jobs that mostly need a person (Nah.)21%2026: 72.8% of workers in this state in jobs where AI could do a little of the work (A little.)73%2026: 5.9% of workers in this state in jobs AI could partly do (Partly.)6%Today2030: 10.3% of workers in this state in jobs that mostly need a person (Nah.)10%2030: 43.6% of workers in this state in jobs where AI could do a little of the work (A little.)44%2030: 43.7% of workers in this state in jobs AI could partly do (Partly.)44%2030: 2.4% of workers in this state in jobs AI could mostly do (Mostly.)20302035: 2.8% of workers in this state in jobs that mostly need a person (Nah.)2035: 17.4% of workers in this state in jobs where AI could do a little of the work (A little.)17%2035: 29.8% of workers in this state in jobs AI could partly do (Partly.)30%2035: 29.6% of workers in this state in jobs AI could mostly do (Mostly.)30%2035: 20.3% of workers in this state in jobs AI could largely do (Largely.)20%20352040: 2.7% of workers in this state in jobs that mostly need a person (Nah.)2040: 4.5% of workers in this state in jobs where AI could do a little of the work (A little.)2040: 15.2% of workers in this state in jobs AI could partly do (Partly.)15%2040: 28.3% of workers in this state in jobs AI could mostly do (Mostly.)28%2040: 49.3% of workers in this state in jobs AI could largely do (Largely.)49%20402045: 2.7% of workers in this state in jobs that mostly need a person (Nah.)2045: 1.2% of workers in this state in jobs where AI could do a little of the work (A little.)2045: 6.0% of workers in this state in jobs AI could partly do (Partly.)6%2045: 17.1% of workers in this state in jobs AI could mostly do (Mostly.)17%2045: 73.1% of workers in this state in jobs AI could largely do (Largely.)73%20452050: 2.7% of workers in this state in jobs that mostly need a person (Nah.)2050: 1.0% of workers in this state in jobs where AI could do a little of the work (A little.)2050: 0.9% of workers in this state in jobs AI could partly do (Partly.)2050: 10.4% of workers in this state in jobs AI could mostly do (Mostly.)10%2050: 85.0% of workers in this state in jobs AI could largely do (Largely.)85%20502055: 2.7% of workers in this state in jobs that mostly need a person (Nah.)2055: 1.0% of workers in this state in jobs where AI could do a little of the work (A little.)2055: 3.7% of workers in this state in jobs AI could mostly do (Mostly.)2055: 92.6% of workers in this state in jobs AI could largely do (Largely.)93%20552060: 2.7% of workers in this state in jobs that mostly need a person (Nah.)2060: 1.0% of workers in this state in jobs where AI could do a little of the work (A little.)2060: 0.9% of workers in this state in jobs AI could mostly do (Mostly.)2060: 95.3% of workers in this state in jobs AI could largely do (Largely.)95%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of workers in this state whose job would sit in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%5.9%72.8%21.2%
20300.0%2.4%43.7%43.6%10.3%
203520.3%29.6%29.8%17.4%2.8%
204049.3%28.3%15.2%4.5%2.7%
204573.1%17.1%6.0%1.2%2.7%
205085.0%10.4%0.9%1.0%2.7%
205592.6%3.7%0.0%1.0%2.7%
206095.3%0.9%0.0%1.0%2.7%

The largest jobs in District of Columbia

#JobStill needs a humanEvidenceCould be largely automatedWorkers here
1General and Operations Managers72↑ saferAI replace? A little.D2036–205136,150
2Lawyers72↑ saferAI replace? A little.D2036–204933,070
3Management Analysts62↑ saferAI replace? A little.D2035–204619,000
4Public Relations Specialists61↑ saferAI replace? A little.D2036–204516,720
5Janitors and Cleaners, Except Maids and Housekeeping Cleaners86↑ saferAI replace? Nah.D2046–2060+16,400
6Security Guards80↑ saferAI replace? Nah.D2042–2060+15,880
7Secretaries and Administrative Assistants, Except Legal, Medical, and Executive61↑ saferAI replace? A little.D2035–204711,800
8Waiters and Waitresses79↑ saferAI replace? A little.D2044–2060+11,530
9Registered Nurses80↑ saferAI replace? Nah.workers of 5 related jobsD2042–2060+11,440
10Accountants and Auditors66↑ saferAI replace? A little.D2035–20479,810

Common jobs here that AI can do most of

Jobs with at least 1,000 workers in the state, lowest score first.

#JobStill needs a humanEvidenceCould be largely automatedWorkers here
1Customer Service Representatives51↑ saferAI replace? Partly.D2034–20417,550
2Market Research Analysts and Marketing Specialists54↑ saferAI replace? Partly.workers of 2 related jobsD2034–20426,340
3Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel54↑ saferAI replace? Partly.D2034–20423,120
4Writers and Authors56↑ saferAI replace? Partly.workers of 2 related jobsD2036–20441,050
5Securities, Commodities, and Financial Services Sales Agents58↑ saferAI replace? Partly.D2034–20431,500
6Computer Systems Analysts59↑ saferAI replace? Partly.workers of 2 related jobsD2033–20422,480
7Information Security Analysts59↑ saferAI replace? Partly.D2033–20431,510
8Economists60↑ saferAI replace? A little.workers of 2 related jobsD2036–20463,000
9Receptionists and Information Clerks60↑ saferAI replace? A little.D2035–20472,000
10Bookkeeping, Accounting, and Auditing Clerks60↑ saferAI replace? A little.D2035–20461,790

Common jobs here that most need a human

#JobStill needs a humanEvidenceCould be largely automatedWorkers here
1Dishwashers88↑ saferAI replace? Nah.D2045–2060+3,580
2Maids and Housekeeping Cleaners88↑ saferAI replace? Nah.D2047–2060+3,800
3Construction Laborers87↑ saferAI replace? Nah.D2048–2060+2,090
4Janitors and Cleaners, Except Maids and Housekeeping Cleaners86↑ saferAI replace? Nah.D2046–2060+16,400
5Dining Room and Cafeteria Attendants and Bartender Helpers86↑ saferAI replace? Nah.D2045–2060+4,130
6Firefighters85↑ saferAI replace? Nah.D2042–2060+1,480
7Food Preparation Workers85↑ saferAI replace? Nah.D2044–2060+3,970
8Home Health Aides85↑ saferAI replace? Nah.D2045–2060+6,405
9Laborers and Freight, Stock, and Material Movers, Hand84↑ saferAI replace? Nah.workers of 2 related jobsD2044–2060+1,200
10Nursing Assistants84↑ saferAI replace? Nah.D2045–2060+3,490

The job most over-represented in District of Columbia compared with the US as a whole is Political Scientists (154.1 times its share of US jobs), with a score of 62.

Neighboring states: Maryland, Virginia

How this is worked out

  • The average weights every job's Still needs a human score by how many people do it in the state, from the Bureau of Labor Statistics' employment survey (May 2025). Jobs cover 97.9% of the state's employment.
  • Job scores are national: a state's accountants score the same as anyone else's. The state figure reflects its mix of jobs, not how its employers use AI.
  • Where BLS hides a figure for a small job, the state's missing workers are shared out by national patterns; those estimates count in the average but never put a job on a list.

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