Opens in a new tab
needsahuman.

AI and jobs in accommodation and food services

How exposed the jobs in accommodation and food services are to AI, which of them AI can do most of, and which most need a human.

Jobs in accommodation and food services have an average Still needs a human score of 79.6 out of 100 (higher is safer), 5.6 points above the average for all jobs of 74.0 and 4th of 37 among the sectors (1st is least exposed). The largest job here is fast food and counter workers (3,357,000 workers, 82/100 ↑ safer), and of the jobs more common here than across the economy, hotel, motel, and resort desk clerks is the most exposed (66/100 ↑ safer).

Average score
79.6/100↑ safer

5.6 points above the average for all jobs (74.0). Sectors range from 59.8 to 80.0.

0.6%

About 83,377 people, in jobs where AI can already do much of the work.

9.2%

Census Bureau survey; all businesses 22.4%.

+4.3%

Bureau of Labor Statistics projections for the whole sector.

How the work here could shift

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

Today
61%
of workers in this sector are in jobs that mostly need a person (our top band, Nah.)
0% are in jobs AI could largely do (Largely.)
By 2045
6%
of workers in this sector would still be in jobs that mostly need a person (our top band, Nah.)
36% would be in jobs AI could largely do (Largely.)
By 2060
6%
of workers in this sector would still be in jobs that mostly need a person (our top band, Nah.)
89% 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 sector in each verdict band, today to 20600%25%50%75%100%2026: 61.0% of workers in this sector in jobs that mostly need a person (Nah.)61%2026: 38.4% of workers in this sector in jobs where AI could do a little of the work (A little.)38%2026: 0.6% of workers in this sector in jobs AI could partly do (Partly.)Today2030: 24.8% of workers in this sector in jobs that mostly need a person (Nah.)25%2030: 69.9% of workers in this sector in jobs where AI could do a little of the work (A little.)70%2030: 5.1% of workers in this sector in jobs AI could partly do (Partly.)2030: 0.2% of workers in this sector in jobs AI could mostly do (Mostly.)20302035: 6.8% of workers in this sector in jobs that mostly need a person (Nah.)7%2035: 52.3% of workers in this sector in jobs where AI could do a little of the work (A little.)52%2035: 34.1% of workers in this sector in jobs AI could partly do (Partly.)34%2035: 4.3% of workers in this sector in jobs AI could mostly do (Mostly.)2035: 2.5% of workers in this sector in jobs AI could largely do (Largely.)20352040: 6.2% of workers in this sector in jobs that mostly need a person (Nah.)6%2040: 12.8% of workers in this sector in jobs where AI could do a little of the work (A little.)13%2040: 40.8% of workers in this sector in jobs AI could partly do (Partly.)41%2040: 32.9% of workers in this sector in jobs AI could mostly do (Mostly.)33%2040: 7.3% of workers in this sector in jobs AI could largely do (Largely.)7%20402045: 6.2% of workers in this sector in jobs that mostly need a person (Nah.)6%2045: 3.6% of workers in this sector in jobs where AI could do a little of the work (A little.)2045: 17.9% of workers in this sector in jobs AI could partly do (Partly.)18%2045: 36.7% of workers in this sector in jobs AI could mostly do (Mostly.)37%2045: 35.6% of workers in this sector in jobs AI could largely do (Largely.)36%20452050: 6.2% of workers in this sector in jobs that mostly need a person (Nah.)6%2050: 3.0% of workers in this sector in jobs where AI could do a little of the work (A little.)2050: 2.1% of workers in this sector in jobs AI could partly do (Partly.)2050: 31.6% of workers in this sector in jobs AI could mostly do (Mostly.)32%2050: 57.0% of workers in this sector in jobs AI could largely do (Largely.)57%20502055: 6.2% of workers in this sector in jobs that mostly need a person (Nah.)6%2055: 3.0% of workers in this sector in jobs where AI could do a little of the work (A little.)2055: 11.1% of workers in this sector in jobs AI could mostly do (Mostly.)11%2055: 79.7% of workers in this sector in jobs AI could largely do (Largely.)80%20552060: 6.2% of workers in this sector in jobs that mostly need a person (Nah.)6%2060: 3.0% of workers in this sector in jobs where AI could do a little of the work (A little.)2060: 2.1% of workers in this sector in jobs AI could mostly do (Mostly.)2060: 88.7% of workers in this sector in jobs AI could largely do (Largely.)89%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of workers in this sector 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%0.6%38.4%61.0%
20300.0%0.2%5.1%69.9%24.8%
20352.5%4.3%34.1%52.3%6.8%
20407.3%32.9%40.8%12.8%6.2%
204535.6%36.7%17.9%3.6%6.2%
205057.0%31.6%2.1%3.0%6.2%
205579.7%11.1%0.0%3.0%6.2%
206088.7%2.1%0.0%3.0%6.2%

The largest jobs in accommodation and food services

#JobStill needs a humanEvidenceCould be largely automatedWorkers in the sector
1Fast Food and Counter Workers82↑ saferAI replace? Nah.workers of 2 related jobsD2044–2060+3,357,200
2Waiters and Waitresses79↑ saferAI replace? A little.D2044–2060+2,089,200
3Cooks, Restaurant83↑ saferAI replace? Nah.D2044–2060+1,313,500
4First-Line Supervisors of Food Preparation and Serving Workers72↑ saferAI replace? A little.D2044–2060+1,035,600
5Cooks, Fast Food83↑ saferAI replace? Nah.D2044–2060+620,200
6Bartenders83↑ saferAI replace? Nah.D2044–2060+601,600
7Food Preparation Workers85↑ saferAI replace? Nah.D2044–2060+517,500
8Dining Room and Cafeteria Attendants and Bartender Helpers86↑ saferAI replace? Nah.D2045–2060+451,100
9Maids and Housekeeping Cleaners88↑ saferAI replace? Nah.D2047–2060+427,600
10Dishwashers88↑ saferAI replace? Nah.D2045–2060+411,800

Common jobs here that AI can do most of

#JobStill needs a humanEvidenceCould be largely automatedWorkers in the sector
1Customer Service Representatives51↑ saferAI replace? Partly.D2034–204128,300
2Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel54↑ saferAI replace? Partly.D2034–204229,900
3Bookkeeping, Accounting, and Auditing Clerks60↑ saferAI replace? A little.D2035–204635,500
4Secretaries and Administrative Assistants, Except Legal, Medical, and Executive61↑ saferAI replace? A little.D2035–204719,500
5Office Clerks, General65↑ saferAI replace? A little.D2035–205338,700
6Training and Development Specialists65↑ saferAI replace? A little.D2035–204735,400
7Hotel, Motel, and Resort Desk Clerks66↑ saferAI replace? A little.D2035–2049249,300
8Accountants and Auditors66↑ saferAI replace? A little.D2035–204715,700
9First-Line Supervisors of Office and Administrative Support Workers67↑ saferAI replace? A little.D2035–204745,700
10Meeting, Convention, and Event Planners69↑ saferAI replace? A little.D2035–204920,500

Common jobs here that most need a human

#JobStill needs a humanEvidenceCould be largely automatedWorkers in the sector
1Landscaping and Groundskeeping Workers88↑ saferAI replace? Nah.D2046–2060+16,700
2Dishwashers88↑ saferAI replace? Nah.D2045–2060+411,800
3Maids and Housekeeping Cleaners88↑ saferAI replace? Nah.D2047–2060+427,600
4Laundry and Dry-Cleaning Workers87↑ saferAI replace? Nah.D2046–2060+42,300
5Janitors and Cleaners, Except Maids and Housekeeping Cleaners86↑ saferAI replace? Nah.D2046–2060+113,100
6Dining Room and Cafeteria Attendants and Bartender Helpers86↑ saferAI replace? Nah.D2045–2060+451,100
7Food Preparation Workers85↑ saferAI replace? Nah.D2044–2060+517,500
8Cooks, Short Order83↑ saferAI replace? Nah.D2045–2060+108,800
9Cooks, Fast Food83↑ saferAI replace? Nah.D2044–2060+620,200
10Bakers83↑ saferAI replace? Nah.D2046–2060+68,800

Related sectors: Restaurants, Hotels and motels

How this is worked out

  • The average weights every job's Still needs a human score by how many people do it in this sector, from the Bureau of Labor Statistics' industry employment data. Jobs cover 99.3% of the sector's employment.
  • Job scores are national: an accountant in retail scores the same as an accountant anywhere. The sector figure reflects its mix of jobs, not how its employers use AI; the Census figure shows that.

All sectors · Every job, ranked