68
/100

SOC 51-9193

Cooling and Freezing Equipment Operators and Tenders

High RiskFrey/Osborne: 93.0%

Risk Score

โš ๏ธ

68/100

High Risk

US Employment

๐Ÿ‘ฅ

6,590

Total workers

Median Wage

๐Ÿ’ฐ

$40K

$34K โ€“ $63K

Projected Growth

๐Ÿ“ˆ

+7.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

67/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Cooling and Freezing Equipment Operators and Tenders face a risk score of 68/100 โ€” 24 points above the national average of 44. With 67/100 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 $40K. 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 68/100, Cooling and Freezing Equipment Operators and Tenders faces moderate automation pressure. While tasks like ai quality inspection via computer vision systems are increasingly handled by AI, the role retains significant human elements. The 6,590 workers in this occupation should focus on strengthening skills in troubleshooting complex equipment malfunctions and setup and calibration of custom production runs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Cooling and Freezing Equipment Operators and Tenders?

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

โš ๏ธ Top Risk Factors

1

AI quality inspection via computer vision systems

2

Automated data interpretation and insight generation

3

Chatbot displacement of customer-facing interactions

4

Predictive maintenance reducing manual inspection roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Setup and calibration of custom production runs

โœ“

Quality judgment requiring tactile and visual inspection

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

Record temperatures, amounts of materials processed, or test results on report forms.

โ€ข

Monitor pressure gauges, ammeters, flowmeters, thermometers, or products, and adjust controls to maintain specified conditions, such as feed rate, product consistency, temperature, air pressure, and machine speed.

โ€ข

Read dials and gauges on panel control boards to ascertain temperatures, alkalinities, and densities of mixtures, and turn valves to obtain specified mixtures.

โ€ข

Start machinery, such as pumps, feeders, or conveyors, and turn valves to heat, admit, or transfer products, refrigerants, or mixes.

โ€ข

Correct machinery malfunctions by performing actions such as removing jams, and inform supervisors of malfunctions as necessary.

๐Ÿ’ป Technology Skills

โ€ข

Electronic mail software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Presentation software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

English Language

โ€ข

Food Production

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$40K
$-6K

National avg: $46K

Risk Score68/100
+24

National avg: 44/100

GenAI Exposure67/100
+29

National avg: 38/100

Projected Growth7.2%
+3.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K61%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K51%
Fabric and Apparel Patternmakers33$68K70%