63
/100

SOC 51-9032

Cutting and Slicing Machine Setters, Operators, and Tenders

High RiskFrey/Osborne: 86.0%

Risk Score

โš ๏ธ

63/100

High Risk

US Employment

๐Ÿ‘ฅ

47,540

Total workers

Median Wage

๐Ÿ’ฐ

$46K

$35K โ€“ $60K

Projected Growth

๐Ÿ“ˆ

-2.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

42/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Cutting and Slicing Machine Setters, Operators, and Tenders face a risk score of 63/100 โ€” 19 points above the national average of 44. With only 42/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $46K. 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 63/100, Cutting and Slicing Machine Setters, Operators, and Tenders faces moderate automation pressure. While tasks like automated cnc programming and machine operation are increasingly handled by AI, the role retains significant human elements. The 47,540 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 Cutting and Slicing Machine Setters, Operators, and Tenders?

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

โš ๏ธ Top Risk Factors

1

Automated CNC programming and machine operation

2

AI quality inspection via computer vision systems

3

Smart factory scheduling and production optimization

4

Industrial robotics replacing manual assembly tasks

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

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

Set up, operate, or tend machines that cut or slice materials, such as glass, stone, cork, rubber, tobacco, food, paper, or insulating material.

โ€ข

Review work orders, blueprints, specifications, or job samples to determine components, settings, and adjustments for cutting and slicing machines.

โ€ข

Examine, measure, and weigh materials or products to verify conformance to specifications, using measuring devices, such as rulers, micrometers, or scales.

โ€ข

Press buttons, pull levers, or depress pedals to start and operate cutting and slicing machines.

โ€ข

Start machines to verify setups, and make any necessary adjustments.

๐Ÿ’ป Technology Skills

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

โ€ข

Word processing software

โ€ข

Enterprise resource planning ERP software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mathematics

โ€ข

Mechanical

โ€ข

English Language

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$46K
$-610

National avg: $46K

Risk Score63/100
+19

National avg: 44/100

GenAI Exposure42/100
+4

National avg: 38/100

Projected Growth-2.3%
-6.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K51%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K61%
Fabric and Apparel Patternmakers33$68K75%