When Will AI Replace Meuleur et Polisseur manuel ?

The automation wave for Grinding and Polishing Workers is set to escalate. By 2029, approximately 55% of their tasks will be impacted by AI and robotics. Entry-level polishers in high-volume manufacturing are the most immediate group at risk, facing potential job changes as early as 2026. This early impact stems from the automation of repetitive finishing work on standardized components.

As we move towards the mid-term, the capabilities of AI-powered quality control and automated surface treatment equipment will become more sophisticated. This will lead to a broader adoption of robotic finishing systems across various manufacturing processes. While specific mid-term dates are not detailed, the trend indicates a steady increase in automation's reach.

Skilled craftspeople who specialize in finishing complex parts, custom work, and artistic pieces can anticipate a longer runway, potentially extending their careers to around 2033. This segment of the workforce is less susceptible to immediate automation due to the nuanced and non-repetitive nature of their tasks.

The primary group most at risk are entry-level polishers in high-volume manufacturing environments. Their roles, which often involve repetitive finishing work on standardized parts, are prime candidates for automation by collaborative robots and AI-driven quality control systems. These systems offer consistent quality and cost efficiencies that are highly attractive to businesses.

Skilled craftspeople who excel in finishing complex parts, custom work, and artistic pieces are considered safer. Their ability to handle unique challenges, artistic nuances, and bespoke requirements makes their roles more resilient to current AI automation trends. This specialization allows them to leverage their expertise beyond what robots can currently replicate.

To navigate the evolving landscape, Grinding and Polishing Workers have a critical 3-5 year window to adapt. The key strategies involve transitioning to roles that involve the setup and programming of automated systems, or specializing further in complex finishing work that remains beyond AI's current capabilities. This proactive approach is essential.

Focus on upskilling and embracing new technologies. Learning to set up and program robotic finishing systems, AI-powered quality control, and automated surface treatment equipment will be crucial. By acquiring these new skills, you can position yourself for roles that work alongside AI, rather than being replaced by it. Specializing in complex finishing adds another layer of job security.