47
/100

SOC 51-3023

Slaughterers and Meat Packers

ElevatedFrey/Osborne: 60.0%

Risk Score

โš ๏ธ

47/100

Elevated

US Employment

๐Ÿ‘ฅ

67,500

Total workers

Median Wage

๐Ÿ’ฐ

$40K

$31K โ€“ $49K

Projected Growth

๐Ÿ“ˆ

+2.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Slaughterers and Meat Packers face a risk score of 47/100 โ€” 3 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. 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 47/100, Slaughterers and Meat Packers faces moderate automation pressure. While tasks like smart factory scheduling and production optimization are increasingly handled by AI, the role retains significant human elements. The 67,500 workers in this occupation should focus on strengthening skills in handling non-standard materials and configurations and coordinating workflow across diverse production teams to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Slaughterers and Meat Packers?

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

โš ๏ธ Top Risk Factors

1

Smart factory scheduling and production optimization

2

Cobots handling repetitive material handling tasks

3

Industrial robotics replacing manual assembly tasks

4

AI quality inspection via computer vision systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling non-standard materials and configurations

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

Remove bones, and cut meat into standard cuts in preparation for marketing.

โ€ข

Sever jugular veins to drain blood and facilitate slaughtering.

โ€ข

Tend assembly lines, performing a few of the many cuts needed to process a carcass.

โ€ข

Shackle hind legs of animals to raise them for slaughtering or skinning.

โ€ข

Slit open, eviscerate, and trim carcasses of slaughtered animals.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Inventory management software

โ€ข

Enterprise resource planning ERP software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Food Production

โ€ข

Production and Processing

โ€ข

English Language

โ€ข

Law and Government

๐Ÿ“Š vs National Average

Median Wage$40K
$-7K

National avg: $46K

Risk Score47/100
+3

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth2.2%
-1.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K59%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K69%
Fabric and Apparel Patternmakers33$68K73%