When Will AI Replace Régleurs et opérateurs de machines de découpe et de tranchage ?

By 2029, approximately 50% of tasks for Cutting and Slicing Machine Setters, Operators, and Tenders will be automated. Entry-level machine operators in high-volume production environments, such as food processing plants, textile cutting rooms, and paper mills, face potential impact as early as 2027.

Advanced robotic cutting systems, computer vision for quality control, and automated material handling are driving this change. Routine tasks like loading materials and monitoring cutting cycles are already being replaced by vision-guided robots and automated slicing systems.

Skilled setters managing complex configurations, specialty materials, and custom cutting applications can maintain their careers longer, potentially until 2032. However, the overall trend points towards increasing automation across the board.

Entry-level machine operators in high-volume production environments are most at risk, with potential impact beginning as early as 2027. Roles focused on routine machine operation, basic quality inspection, and material transfer are prime targets for automation.

Skilled setters who manage complex configurations, specialty materials, and custom cutting applications are in a safer position and can maintain their careers to 2032. These roles require a higher level of technical expertise and adaptability.

You have approximately 5-7 years to transition toward roles requiring technical skills in machine setup, programming, and advanced troubleshooting. Focus on developing expertise in areas that complement AI, not compete with it.

Consider upskilling in areas like advanced robotic system operation, AI-driven quality control interpretation, or maintenance of automated material handling systems. Familiarize yourself with technologies from companies like Marel, Weber, Provisur, Lectra, Gerber, and Eastman.