64
/100

SOC 51-3091

Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders

High RiskFrey/Osborne: 91.0%

Risk Score

โš ๏ธ

64/100

High Risk

US Employment

๐Ÿ‘ฅ

19,500

Total workers

Median Wage

๐Ÿ’ฐ

$43K

$32K โ€“ $60K

Projected Growth

๐Ÿ“ˆ

+0.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

53/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders face a risk score of 64/100 โ€” 20 points above the national average of 44. With 53/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $43K. 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 64/100, Food and Tobacco Roasting, Baking, and Drying 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 19,500 workers in this occupation should focus on strengthening skills in troubleshooting complex equipment malfunctions and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Food and Tobacco Roasting, Baking, and Drying 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

AI quality inspection via computer vision systems

3

Cobots handling repetitive material handling tasks

4

Automated CNC programming and machine operation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Setup and calibration of custom production runs

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

Observe, feel, taste, or otherwise examine products during and after processing to ensure conformance to standards.

โ€ข

Set temperature and time controls, light ovens, burners, driers, or roasters, and start equipment, such as conveyors, cylinders, blowers, driers, or pumps.

โ€ข

Observe temperature, humidity, pressure gauges, and product samples and adjust controls, such as thermostats and valves, to maintain prescribed operating conditions for specific stages.

โ€ข

Observe flow of materials and listen for machine malfunctions, such as jamming or spillage, and notify supervisors if corrective actions fail.

โ€ข

Record production data, such as weight and amount of product processed, type of product, and time and temperature of processing.

๐Ÿ’ป Technology Skills

โ€ข

Electronic mail software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

English Language

โ€ข

Public Safety and Security

โ€ข

Food Production

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$43K
$-4K

National avg: $46K

Risk Score64/100
+20

National avg: 44/100

GenAI Exposure53/100
+15

National avg: 38/100

Projected Growth0.6%
-3.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K53%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K63%
Fabric and Apparel Patternmakers33$68K77%