When Will AI Replace Opérateur régleur de machines de concassage, de broyage et de polissage ?

The impact of AI on Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders will unfold in stages. Entry-level roles and those performing repetitive production runs face the earliest disruption, with potential impact starting as soon as 2027. This early wave will see basic machine tending and operator tasks, which are highly susceptible to automation, being phased out as systems become more adept.

By 2030, approximately 55% of all tasks within this job category are expected to be automated. This significant shift is driven by the integration of CNC machining systems, robotic material handling, and AI-powered quality control technologies. These advancements allow for more efficient and precise operations, directly impacting the demand for human intervention in many core functions.

While significant automation is anticipated by 2030, skilled setters managing complex setups, precision grinding for specialized applications (like aerospace or medical), and maintenance technicians can anticipate a longer runway. Their expertise in intricate tasks and problem-solving provides a buffer, with career longevity extending potentially to 2033 before substantial impact is felt.

Entry-level machine tenders and operators performing repetitive production runs are at the forefront of AI's impact. These roles, characterized by predictable and routine tasks such as basic material loading, simple monitoring, and straightforward quality checks, are the most vulnerable to automation by AI-powered systems and robotics. Their tasks are often the first to be optimized for efficiency and cost savings.

Conversely, skilled setters who manage complex machine setups, operators specializing in precision grinding for high-demand sectors like aerospace and medical industries, and maintenance technicians are in a more secure position. Their roles require advanced problem-solving, adaptability, and a deep understanding of intricate systems that are currently difficult for AI to replicate fully, allowing for extended career relevance.

With 5-8 years to adapt, the key is to transition toward roles that complement automated systems rather than compete with them. Focus on developing skills in programming, which will be essential for managing and configuring the new automated machinery. Embracing roles that require advanced troubleshooting and intricate setup expertise will also be vital.

Invest in learning about CNC machining systems, robotic material handling, and AI-powered quality control technologies. Acquiring proficiency in manufacturing execution software and understanding how to integrate these advanced tools will position you for future success. Seek training and certifications that enhance your ability to work alongside, rather than be replaced by, AI.