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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
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.
Contributing sources
Butchers and Meat Cutters are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Butcher and meat cutting careers are labeled "Somewhat Resilient" because AI is genuinely changing parts of this work — especially inside large meat processing plants, where robots and machine-learning systems are taking over repetitive tasks like deboning, splitting, and labeling. That means some of the more routine, high-volume jobs in big industrial facilities face real pressure from automation over time.
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Learn more about how you can thrive in this position
This role is somewhat resilient
Butcher and meat cutting careers are labeled "Somewhat Resilient" because AI is genuinely changing parts of this work — especially inside large meat processing plants, where robots and machine-learning systems are taking over repetitive tasks like deboning, splitting, and labeling. That means some of the more routine, high-volume jobs in big industrial facilities face real pressure from automation over time.
Read full analysisAnalysis of Current AI Resilience
Butchers and Meat Cutters
Updated Quarterly • Last Update: 5/14/2026

If you're worried that a robot is about to take over your local butcher counter, the picture is more mixed than scary. Most cutting-edge AI in this field today is showing up inside large meat processing plants — not the shop where you buy your steak. According to Food Engineering, 3D vision and machine-learning systems now guide robotic arms that adjust to each animal's size and muscle structure [1], improving cutting precision and reducing repetitive strain injuries among workers.
A real-world example comes from Messe Frankfurt's foodtech publication, which reports that JBS USA is partnering with Norwegian AI firm Völur to sort carcasses and generate daily cutting plans at one of North America's most advanced beef plants [2]. A 2025 academic review in Frontiers in Robotics and AI similarly catalogs growing use of robotic and automated systems across meat processing [3]. For now, this is mostly augmentation of high-volume tasks like splitting, deboning, weighing, and labeling — while custom cuts, customer orders, and retail display work still rely heavily on human butchers.

Adoption is being pushed forward by a tough labor market: Food Engineering notes that a single cutting-and-deboning line typically needs 60–80 workers, and companies struggle to fill those jobs [1]. Fortune reports the same dynamic globally, with labor shortages identified as the primary force pushing firms toward automation and AI adoption [4]. Industry groups are leaning in too — the Meat Institute is featuring AI and automation as headline topics at the 2026 IPPE [5] trade show.
But adoption is slowed by real hurdles: Messe Frankfurt highlights that infrastructure upgrades, staff training, and specialized expertise make initial investment substantial, especially for small and medium-sized processors [2]. That helps explain why the U.S. Bureau of Labor Statistics still projects butcher employment will grow 1 percent from 2024 to 2034, with about 16,900 openings each year [6]. Skills like custom cuts, customer interaction, quality inspection, and creative display work remain hard to automate — meaning a future butcher who learns to work with AI tools is in a strong, hopeful position.

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They prepare and cut meat into portions for sale, ensuring it's fresh and ready for customers to buy and cook.
Median Wage
$38,960
Jobs (2024)
143,100
Growth (2024-34)
+1.0%
Annual Openings
16,900
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
Total sales, and collect money from customers.
Estimate requirements and order or requisition meat supplies to maintain inventories.
Cut, trim, bone, tie, and grind meats, such as beef, pork, poultry, and fish, to prepare meat in cooking form.
Prepare special cuts of meat ordered by customers.
Record quantity of meat received and issued to cooks or keep records of meat sales.
Receive, inspect, and store meat upon delivery, to ensure meat quality.
Prepare and place meat cuts and products in display counter, so they will appear attractive and catch the shopper's eye.
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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