Meat, Poultry, and Fish Cutters and Trimmers
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Use hands or hand tools to perform routine cutting and trimming of meat, poultry, and seafood.
The occupation of "Meat, Poultry, and Fish Cutters and Trimmers" has an automation risk of 28.9%, which is closely aligned with its base risk of 29.2%. This moderate risk level reflects the nature of the work, which involves a combination of repetitive manual tasks and activities that require situational judgment and dexterity. The risk is not higher because, despite advances in robotics and machinery, certain tasks within this occupation are still challenging for automation due to variability in product size, shape, and quality. Furthermore, many facilities, especially smaller processors, may lack the resources to invest in advanced automation equipment. The tasks most at risk of automation are those that involve structured, repetitive activities and can be performed by machines with a high degree of reliability. The top three most automatable tasks include using knives, cleavers, meat saws, bandsaws, or other equipment to cut and trim meat; weighing meats and tagging containers; and inspecting products for visible defects, bruises, or blemishes and removing them. These tasks are highly routine and can often be standardized, making them suitable targets for automation technologies such as robotic arms, conveyor systems, and computer vision. Conversely, the most automation-resistant tasks require flexibility, specialized judgment, or adaptive handling. For example, cleaning and salting hides, producing hamburger meat and trimmings, and obtaining and distributing specific cuts or carcasses entail nuanced decisions and skill in handling variable products. Additionally, bottleneck skills such as originality, rated at 2.0% and 2.1%, indicate that truly innovative or creative thought is rarely required in this role, yet in the few instances originality is necessary—such as improvising with unusual cuts or defects—automation struggles to replicate human adaptability. Thus, while a significant portion of the work can be automated, the need for responsive human input in less predictable or highly specialized tasks keeps the overall risk below 30%.