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Nonrestaurant Food Servers

Food Preparation & Servicevery lowaugment
BLS 2024-34: +7%
Median Wage: $29,780
Employment: 216K

Overall Exposure

9

2025 vs 2023

Theoretical Exposure

15

What AI could do

Observed Exposure

3

What AI actually does

Automation Risk Score

5

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

9โ†’15
+6

2025 โ†’ 2028 (estimated)

Theoretical Exposure

15โ†’24
+9

2025 โ†’ 2028 (estimated)

Observed Exposure

3โ†’6
+3

2025 โ†’ 2028 (estimated)

Automation Risk

5โ†’8
+3

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202471224actual
202591535estimated
2026111846estimated
2027132157estimated
2028152468estimated

Task Breakdown

Deliver meals to patients or residents on schedule
8%ฮฒ 0
Verify dietary restrictions and special meal orders
22%ฮฒ 0.5
Set up and break down serving stations
3%ฮฒ 0

About This Occupation

If you work as a Nonrestaurant Food Server, AI has very limited impact on your role. With an automation risk of 5/100 and overall exposure at 9%, this role faces very low transformation. Dietary verification sees the highest automation at 22%. BLS projects +7% growth through 2034.

Frequently Asked Questions

With an automation risk score of 5%, Nonrestaurant Food Servers has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

The AI automation risk score for Nonrestaurant Food Servers is 5% (2025 data). Overall AI exposure is 9%, with 15% theoretical exposure and 3% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for Nonrestaurant Food Servers are: Verify dietary restrictions and special meal orders (22%), Deliver meals to patients or residents on schedule (8%), Set up and break down serving stations (3%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +7% employment change for Nonrestaurant Food Servers from 2024 to 2034. Combined with an overall AI exposure of 9%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Nonrestaurant Food Servers should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.