Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They prepare meat for stores by killing animals, cutting the meat into pieces, and packing it for sale.
This role is evolving
The career of slaughterers and meat packers is labeled as "Evolving" because while machines are increasingly used for basic and repetitive tasks, like stunning animals and simple slicing, the job still requires skilled humans for more complex tasks. Tasks that need precision, like cutting around bones or performing religious slaughter procedures, cannot be fully automated and rely on human skill and judgment.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of slaughterers and meat packers is labeled as "Evolving" because while machines are increasingly used for basic and repetitive tasks, like stunning animals and simple slicing, the job still requires skilled humans for more complex tasks. Tasks that need precision, like cutting around bones or performing religious slaughter procedures, cannot be fully automated and rely on human skill and judgment.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Slaughter & Meat Packers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
The job normally involves things like stunning animals and cutting meat into standard pieces [1]. Today, many of these steps use machines. For example, pigs and chickens are typically stunned by automatic devices (electric or gas pens) before slaughter [2].
Machines also handle scalding and defeathering steps in poultry lines [2]. Some factories even test robots that debone hams or separate large muscle pieces. One report notes pig-leg deboning robots can work as fast as humans [2].
But these robots are still rare. Detailed cutting around bones is still mostly done by skilled workers because meat shapes vary a lot [2]. In fact, experts say deboning and fine trimming “require a higher level of dexterity” and remain almost all manual [2].
Crucially, religious slaughter procedures also stay hands-on. There is no fully autonomous Kosher or Halal slaughterer; even in high-tech plants the actual throat cut is done by a person, with machines only helping a little [2]. In summary, simple repetitive tasks (like mechanical stunning and basic slicing) use machines today, but the tricky cuts and religious checks still need people.

AI in the real world
Machines that automate meat processing can be very expensive, so plants tend to use them only when there’s a clear benefit. An industry review notes that companies often install technology mainly to keep workers safe and production steady [3]. For example, new saws stop immediately if a person’s hand gets too close, and powered boning machines let workers avoid dangerous heavy pulls [3].
These innovations show why automation can be helpful: fewer injuries and fewer missed shifts (something that became clear during COVID disruptions). On the other hand, meatpacking still has challenges that slow down full automation. Animals come in different sizes and shapes, so robots can jam if things aren’t uniform.
Also, cultural and legal factors matter – for Halal or Kosher products, a trained person must do the slaughter cuts, so robots can’t replace that [2] [3].
In short, many basic tasks in a meat plant are already automated, but people are still in charge of the important parts. This means workers will continue to be needed to guide machines, check quality, and follow rules. AI may change how work is done, but it often helps humans rather than completely replacing them [2] [3].
Skilled human judgment, flexibility, and care – especially for special tasks – remain valuable as the industry evolves.

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Median Wage
$39,790
Jobs (2024)
69,600
Growth (2024-34)
+2.2%
Annual Openings
8,400
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Slaughter animals in accordance with religious law, and determine that carcasses meet specified religious standards.
Shackle hind legs of animals to raise them for slaughtering or skinning.
Trim head meat, and sever or remove parts of animals' heads or skulls.
Cut, trim, skin, sort, and wash viscera of slaughtered animals to separate edible portions from offal.
Skin sections of animals or whole animals.
Remove bones, and cut meat into standard cuts in preparation for marketing.
Shave or singe and defeather carcasses, and wash them in preparation for further processing or packaging.
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.

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