Computer Numerically Controlled Tool Operators

Operate computer-controlled tools, machines, or robots to machine or process parts, tools, or other work pieces made of metal, plastic, wood, stone, or other materials. May also set up and maintain equipment.

The occupation "Computer Numerically Controlled Tool Operators" has an estimated automation risk of 58.4%, which is closely aligned with the base risk of 59.3%. This suggests that the role is moderately susceptible to automation, largely due to the repetitive and programmable nature of many of its core tasks. The use of computer-controlled machinery is already a step toward automation, but further advancements in robotics and artificial intelligence are likely to increase the automation of this job. As CNC technology improves, many routine operations that require high precision and consistency can be performed by machines with minimal human intervention. This trend contributes significantly to the occupation’s overall automation risk. Among the tasks most vulnerable to automation are: measuring dimensions of finished workpieces to ensure conformity using precision instruments, setting up and operating computer-controlled machines or robots, and mounting, installing, aligning, and securing tools and workpieces on machines. These tasks are inherently rule-based and repetitive, making them ideal candidates for automation by advanced robotics and sensor systems. Automation technology excels at performing tasks that require steady hands, accuracy, and consistent judgment, attributes essential to these aspects of CNC tool operation. Additionally, the standardized nature of these tasks allows for easier development and deployment of automated solutions, especially as machine vision and robotics evolve. In contrast, certain tasks remain more resistant to automation. Tasks such as examining electronic components for defects using microscopes, laying out and marking areas for specific treatments (like shot peening), and manually entering or loading control media into machine controllers require higher levels of judgment, dexterity, or response to unique circumstances. These activities depend on human sensory assessment or nuanced manual processes that automation struggles to replicate. Bottleneck skills like originality—measured at 2.8% and 2.9%—highlight the limited but critical need for creative problem-solving within this occupation. Although not the primary focus, originality still offers some resistance to full automation, particularly when non-standard situations or unexpected issues arise that require adaptive, human-driven solutions.