Short answer
Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow.
AI and jobs
Will AI Replace Servers? (2026)
The Bureau of Labor Statistics places servers in its moderate AI exposure category, below the middle of the pack: some of the work overlaps with what AI can do, much of it does not. BLS projects employment to change by +2.0% over 2025–2035, against 3.5% for all occupations, with about 423,100 openings a year.
- BLS AI exposure
- ModerateBLS EP supplemental table
- AI-resilience score
- 59/100Higher than 83% of jobs · NueCareer
- Projected change
- +2.0%BLS EP 2025–2035; all jobs 3.5%
- Openings a year
- 423,100BLS EP 2025–2035
The federal measure
How exposed servers are to AI
The Bureau of Labor Statistics publishes a relative AI exposure category for each occupation it projects, built from five public measures of where AI could be, or already is, used to assist with or complete the work. Servers land in the moderate category: below the middle of the pack: some of the work overlaps with what AI can do, much of it does not.
Where this job sits on the BLS scale
786 occupations in the NueCareer bank, in BLS's four relative categories; width shows how many fall in each
- Low203 occupations · 26%
- Moderate · this job194 occupations · 25%
- High190 occupations · 24%
- Very high199 occupations · 25%
Source: BLS Employment Projections, AI exposure categories supplemental table.
- Exposure is relative. The categories rank occupations against each other; they are not a probability that a job is automated.
- BLS says exposure does not imply job loss, productivity gains, automation probability or wage effects. A highly exposed job can still grow if AI makes the people in it more productive.
- The classification reflects AI capabilities as the underlying studies measured them. Read the BLS method and limitations.
Inside the work
What AI can and cannot do in this job
O*NET rates how important each work activity is to an occupation and how often each working condition comes up. The ratings below are the ones that move the job's NueCareer AI-resilience score the most: the ones that pull it up, and the ones that pull it down. Only ratings clearly above the midpoint count.
What holds up
Physical, hands-on and person-to-person work
- Face-to-face discussions4.5/5O*NET work context, frequency or level
- Performing for or working directly with the public4.0/5O*NET work activity, importance
- Performing general physical activities3.8/5O*NET work activity, importance
- Time spent on your feet4.7/5O*NET work context, frequency or level
What AI reaches first
Routine, repeatable and screen-based work
- Repetitive motions3.6/5O*NET work context, frequency or level
- Being exact or highly accurate3.5/5O*NET work context, frequency or level
- Communicating with supervisors, peers, or subordinates3.6/5O*NET work activity, importance
The tasks O*NET lists for servers
- Remove dishes and glasses from tables or counters, and take them to kitchen for cleaning.
- Check with customers to ensure that they are enjoying their meals, and take action to correct any problems.
- Clean tables or counters after patrons have finished dining.
- Take orders from patrons for food or beverages.
- Stock service areas with supplies such as coffee, food, tableware, and linens.
- Write patrons' food orders on order slips, memorize orders, or enter orders into computers for transmittal to kitchen staff.
O*NET 31.0 Database task statements, most important first.
The jobs
Will there still be jobs?
Exposure says where AI meets the work. The BLS projection says what the labor market is expected to do over 2025–2035. BLS projects +2.0% change in employment over the decade, against 3.5% across all occupations, and about 423,100 openings a year once retirements and career changes are counted. About 2,270,910 people work in the job today, at a median of $35,230 a year (BLS OEWS, May 2025).
Options
Related careers less exposed to AI than servers
Careers O*NET lists as related to the work, or in the same field at similar pay, that BLS places in a lower exposure category.
Dining Room and Cafeteria Attendant and Bartender Helper
Food Preparation and Serving Related
- Median pay
- $33,980median a year
- Growth
- +5.3%
- Openings / yr
- 95,300
- Education
- No formal credential
- Low
- BLS AI exposure
- 60/100
- resilience
Facilitate food service.
Questions
Will AI Replace Servers? FAQ
Will AI replace servers?
Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +2.0% over 2025–2035, against 3.5% for all occupations, with about 423,100 openings a year.
How exposed are servers to AI?
BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Servers are in the moderate category, alongside 193 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.
What parts of a server's job can AI do?
In O*NET's description of the work, the parts that overlap most with what AI handles well are repetitive motions, being exact or highly accurate and communicating with supervisors, peers, or subordinates. The parts that hold up best are face-to-face discussions, performing for or working directly with the public and performing general physical activities. These come from O*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.
Is being a server a safe career from AI?
On NueCareer's AI-resilience score, built from O*NET work activities, servers score 59 out of 100, higher than 83% of the occupations we score. The job pays a median of $35,230 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.
What careers similar to servers are less exposed to AI?
Dining Room and Cafeteria Attendant and Bartender Helper (low exposure, $33,980 median). Each is in a lower BLS exposure category than servers, and most are listed by O*NET as related to the work.
The AI exposure category is the Bureau of Labor Statistics'. The AI-resilience score and the activity breakdown are NueCareer's analysis of O*NET 31.0 Database data (method), not a federal figure. More: jobs most exposed to AI, jobs least exposed to AI, or check any job.