---
title: "Will AI Replace Bussers? (2026)"
description: "BLS rates bussers' exposure to AI as low. What that means, which parts of the work AI touches, and the 2025–2035 outlook (+5.3% projected)."
canonical: "https://nuecareer.com/careers/will-ai-replace-bussers"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace Bussers? (2026)

**Short answer:** Very unlikely. BLS rates bussers among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do.

The Bureau of Labor Statistics places bussers in its low AI exposure category, among the occupations least exposed to current AI. BLS projects employment to change by +5.3% over 2025–2035, against 3.5% for all occupations, with about 95,300 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | Low | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 60/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | +5.3% | BLS EP 2025–2035 |
| Openings a year | 95,300 | BLS EP 2025–2035 |
| Median annual wage | $33,980 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low (this job) | 203 |
| Moderate | 194 |
| High | 190 |
| Very high | 199 |

Exposure means AI could be or has been used to assist with or complete some of the work. BLS says it does not imply job loss, productivity gains, automation probability or wage effects. Method: https://www.bls.gov/emp/publications/ai-exposure-categories.htm

## What holds up

- Face-to-face discussions: 4.5/5 (O\*NET work context)
- Hands-on work with tools and objects: 4.5/5 (O\*NET work context)
- Performing for or working directly with the public: 3.9/5 (O\*NET work activity importance)
- Time spent on your feet: 4.8/5 (O\*NET work context)

## What AI reaches first

- Repetitive motions: 4.2/5 (O\*NET work context)
- Being exact or highly accurate: 3.9/5 (O\*NET work context)
- Communicating with supervisors, peers, or subordinates: 3.9/5 (O\*NET work activity importance)

## O\*NET tasks

- Maintain adequate supplies of items, such as clean linens, silverware, glassware, dishes, or trays.
- Clean up spilled food or drink or broken dishes and remove empty bottles and trash.
- Wipe tables or seats with dampened cloths or replace dirty tablecloths.
- Locate items requested by customers.
- Fill beverage or ice dispensers.
- Clean and polish counters, shelves, walls, furniture, or equipment in food service areas or other areas of restaurants and mop or vacuum floors.

## FAQ

**Will AI replace bussers?**

Very unlikely. BLS rates bussers among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do. 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 +5.3% over 2025–2035, against 3.5% for all occupations, with about 95,300 openings a year.

**How exposed are bussers to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Bussers are in the low category, alongside 202 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 dining room and cafeteria attendant and bartender helper'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, hands-on work with tools and objects and performing for or working directly with the public. 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 dining room and cafeteria attendant and bartender helper a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, bussers score 60 out of 100, higher than 85% of the occupations we score. The job pays a median of $33,980 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.

Full profile: https://nuecareer.com/careers/dining-room-and-cafeteria-attendant-and-bartender-helper.

---

This bank includes information from the O\*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O\*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology