52
/100

SOC 51-3093

Food Cooking Machine Operators and Tenders

ElevatedFrey/Osborne: 61.0%

Risk Score

โš ๏ธ

52/100

Elevated

US Employment

๐Ÿ‘ฅ

27,660

Total workers

Median Wage

๐Ÿ’ฐ

$41K

$31K โ€“ $54K

Projected Growth

๐Ÿ“ˆ

+0.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

38/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Food Cooking Machine Operators and Tenders face a risk score of 52/100 โ€” 8 points above the national average of 44. With only 38/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $41K. 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 52/100, Food Cooking Machine Operators and Tenders faces moderate automation pressure. While tasks like industrial robotics replacing manual assembly tasks are increasingly handled by AI, the role retains significant human elements. The 27,660 workers in this occupation should focus on strengthening skills in coordinating workflow across diverse production teams and setup and calibration of custom production runs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Food Cooking Machine Operators and Tenders?

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

โš ๏ธ Top Risk Factors

1

Industrial robotics replacing manual assembly tasks

2

Cobots handling repetitive material handling tasks

3

Smart factory scheduling and production optimization

4

AI quality inspection via computer vision systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Coordinating workflow across diverse production teams

โœ“

Setup and calibration of custom production runs

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Troubleshooting complex equipment malfunctions

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

Clean, wash, and sterilize equipment and cooking area, using water hoses, cleaning or sterilizing solutions, or rinses.

โ€ข

Read work orders, recipes, or formulas to determine cooking times and temperatures, and ingredient specifications.

โ€ข

Observe gauges, dials, and product characteristics, and adjust controls to maintain appropriate temperature, pressure, and flow of ingredients.

โ€ข

Measure or weigh ingredients, using scales or measuring containers.

โ€ข

Tend or operate and control equipment, such as kettles, cookers, vats and tanks, and boilers, to cook ingredients or prepare products for further processing.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Food Production

โ€ข

Administration and Management

โ€ข

Education and Training

โ€ข

Mechanical

๐Ÿ“Š vs National Average

Median Wage$41K
$-6K

National avg: $46K

Risk Score52/100
+8

National avg: 44/100

GenAI Exposure38/100
0

National avg: 38/100

Projected Growth0.6%
-3.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K69%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K59%
Fabric and Apparel Patternmakers33$68K83%