57
/100

SOC 35-9011

Dining Room and Cafeteria Attendants and Bartender Helpers

ElevatedFrey/Osborne: 91.0%

Risk Score

โš ๏ธ

57/100

Elevated

US Employment

๐Ÿ‘ฅ

522,010

Total workers

Median Wage

๐Ÿ’ฐ

$33K

$22K โ€“ $46K

Projected Growth

๐Ÿ“ˆ

+6.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Dining Room and Cafeteria Attendants and Bartender Helpers face a risk score of 57/100 โ€” 13 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $33K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 57/100, Dining Room and Cafeteria Attendants and Bartender Helpers faces moderate automation pressure. While tasks like automated food preparation and cooking robotics are increasingly handled by AI, the role retains significant human elements. The 522,010 workers in this occupation should focus on strengthening skills in food presentation requiring artistic and tactile skill and hospitality and personalized guest experiences to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Dining Room and Cafeteria Attendants and Bartender Helpers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated food preparation and cooking robotics

2

Automated dishwashing and kitchen cleaning systems

3

Self-ordering kiosks and mobile app displacement

4

Robotic food delivery within establishments

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Food presentation requiring artistic and tactile skill

โœ“

Hospitality and personalized guest experiences

โœ“

Managing chaotic high-volume service environments

โœ“

Adapting to real-time dietary and allergy requests

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Run cash registers.

โ€ข

Serve ice water, coffee, rolls, or butter to patrons.

โ€ข

Scrape and stack dirty dishes and carry dishes and other tableware to kitchens for cleaning.

โ€ข

Wipe tables or seats with dampened cloths or replace dirty tablecloths.

โ€ข

Set tables with clean linens, condiments, or other supplies.

๐Ÿ’ป Technology Skills

โ€ข

Point of sale POS software

โ€ข

Web page creation and editing software

โ€ข

Spreadsheet software

โ€ข

Operating system software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Food Production

โ€ข

English Language

โ€ข

Sales and Marketing

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$33K
$-14K

National avg: $46K

Risk Score57/100
+13

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth6.3%
+2.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Education Administrators, All Other21$89K57%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K52%
Tour and Travel Guides27$37K65%