When Will AI Replace Monteurs et Façonneurs, Divers ?

The automation wave for Assemblers and Fabricators is not a single event but a progression. Entry-level positions in high-volume manufacturing could see impact as early as 2029, driven by the adoption of AI and robotics. This early impact will focus on repetitive tasks.

By 2033, approximately 45% of all tasks within this broad category are expected to be automated. This includes basic quality inspection and material preparation, primarily through the deployment of cobots. Automated material handling will also contribute significantly to this transformation.

Specialized fabricators working on custom products, prototypes, and low-volume manufacturing can anticipate a longer career runway, potentially extending their roles until 2037. This mid-to-late wave impact highlights the varied nature of automation risk across different sub-sectors.

Assembly roles in high-volume production environments, particularly those involving repetitive component assembly, are most vulnerable to early automation. The introduction of cobots from major manufacturers like Universal Robots, FANUC, and ABB directly targets these tasks.

Industries like electronics and automotive assembly are identified as most susceptible to automation. The complexity of products and the nature of the manufacturing process in these sectors make them prime candidates for AI-driven efficiency gains.

Conversely, specialized fabricators involved in custom products, prototypes, and low-volume manufacturing face a lower immediate risk. Aerospace and defense sectors, due to their complexity and customization needs, are the least affected by current automation trends.

To navigate the evolving landscape, individuals have an estimated 4-8 year window to transition. Focusing on upskilling is key to securing your future in the manufacturing sector.

Consider transitioning into skilled trades that require nuanced human dexterity and problem-solving. Alternatively, roles in robotic operation and maintenance will be in high demand as automation increases.

Developing expertise in specialized fabrication work, particularly for custom and complex products, offers a path to extend your career. This involves mastering techniques that AI currently cannot replicate.