Somewhat Resilient
Last Update: 10/7/2026
AI Resilience Score for Slaughter & Meat Packers:
44.2%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
AI Resilience Report forSlaughterers and Meat Packers
$40,130 median salary•7,700 annual openings•SOC Code: 51-3023.00
Slaughterers and Meat Packers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Meat packing is labeled "Somewhat Resilient" because AI and robotics are already taking over the most repetitive tasks (like grinding and packaging), and major companies like Tyson Foods are investing billions to automate even more of the work. However, the fact that every animal is a slightly different shape means that detailed tasks like trimming, deboning, and sorting still need human hands and judgment, at least for now.
Learn more about how you can thrive in this position
This role is somewhat resilient
Meat packing is labeled "Somewhat Resilient" because AI and robotics are already taking over the most repetitive tasks (like grinding and packaging), and major companies like Tyson Foods are investing billions to automate even more of the work. However, the fact that every animal is a slightly different shape means that detailed tasks like trimming, deboning, and sorting still need human hands and judgment, at least for now.
Read full analysisAnalysis of current AI resilience
Slaughter & Meat Packers
Updated quarterly
How can Slaughter & Meat Packers prepare for AI?
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Latest AI news for Slaughter & Meat Packers
The article on AI in abattoirs highlights how technology can enhance animal welfare, which is increasingly important in the meat industry. For students entering "Slaughterers and Meat Packers" careers, understanding AI's role could lead to better practices and workplace efficiency. For instance, AI can monitor animal behavior to ensure humane treatment, ultimately improving product quality and company reputation. Embracing these advancements not only prepares students for future job demands but also fosters a more ethical industry, showcasing AI resilience in their career path.
More Career Info
Career: Slaughterers and Meat Packers
They prepare meat for stores by killing animals, cutting the meat into pieces, and packing it for sale.
Parent Careers
Employment & Wage Data
Median Wage
$40,130
Jobs (2025)
71,200
Growth (2025-35)
+2.0%
Annual Openings
7,700
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Cut, trim, skin, sort, and wash viscera of slaughtered animals to separate edible portions from offal.
2
Trim, clean, or cure animal hides.
3
Trim head meat, and sever or remove parts of animals' heads or skulls.
4
Slit open, eviscerate, and trim carcasses of slaughtered animals.
5
Skin sections of animals or whole animals.
6
Remove bones, and cut meat into standard cuts in preparation for marketing.
7
Sever jugular veins to drain blood and facilitate slaughtering.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

