Food Preparation Workers
Overall Exposure
2025 vs 2023
Theoretical Exposure
24What AI could do
Observed Exposure
5What AI actually does
Automation Risk Score
16Displacement risk
3-Year Outlook (2025 → 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 → 2028 (estimated)
Theoretical Exposure
2025 → 2028 (estimated)
Observed Exposure
2025 → 2028 (estimated)
Automation Risk
2025 → 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2023 | 8 | 18 | 3 | 12 | actual |
| 2024 | 10 | 21 | 4 | 14 | actual |
| 2025 | 12 | 24 | 5 | 16 | actual |
| 2026 | 15 | 28 | 7 | 18 | estimated |
| 2027 | 17 | 31 | 8 | 20 | estimated |
| 2028 | 20 | 35 | 10 | 22 | estimated |
Task Breakdown
About This Occupation
If you work as a Food Preparation Worker, AI is reshaping your profession. With an automation risk of 16/100 and overall exposure at 12%, this role faces very low transformation. The highest-impact area is weigh and measure ingredients for recipes at 25% automation. This is classified as an 'augment' role. BLS projects -3% decline through 2034. The physical and hands-on nature of food preparation keeps most tasks resistant to AI automation, though smart scales and portioning systems are emerging.
Frequently Asked Questions
With an automation risk score of 16%, Food Preparation Workers 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 Food Preparation Workers is 16% (2025 data). Overall AI exposure is 12%, with 24% theoretical exposure and 5% observed exposure. The risk trend from 2023 to 2025 is +4 points.
The tasks with the highest automation potential for Food Preparation Workers are: Weigh and measure ingredients for recipes (25%), Stock and organize food storage areas (18%), Clean and sanitize work areas and equipment (12%). 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 -3% employment change for Food Preparation Workers from 2024 to 2034. Combined with an overall AI exposure of 12%, 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 Food Preparation Workers 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.