Computer Numerically Controlled Tool Programmers

Develop programs to control machining or processing of materials by automatic machine tools, equipment, or systems. May also set up, operate, or maintain equipment.

The automation risk for "Computer Numerically Controlled (CNC) Tool Programmers" is estimated to be 69.0%, aligning closely with the base risk of 70.0%. This high risk mainly stems from the nature of their core responsibilities, which are highly structured and rules-based. Tasks such as writing programs in the language of a machine's controller and storing these programs on various media are increasingly susceptible to automation, as machines can reliably translate specifications into code faster and with fewer errors than humans. Additionally, the process of determining the sequence of machine operations and selecting appropriate cutting tools has been streamlined by advancements in artificial intelligence and process optimization algorithms. The act of revising programs or tapes to eliminate errors and ensuring quality by retesting is also well-suited to automated systems, which can perform iterative checking and correction procedures rapidly. Despite this high automation potential, some tasks remain more resistant to being overtaken by machines. For example, entering coordinates of hole locations by physically interacting with the machine's programming interface (such as depressing pedals or buttons) still often requires human oversight and intervention, especially in unique or custom applications. Drawing machine tool paths on pattern film with colored markers, guided by considerations for tool speed and efficiency, also highlights the need for human insight when interpreting and applying guidelines. Likewise, preparing geometric layouts using both computer-assisted drafting (CAD) software and traditional drafting instruments or graph paper usually involves creative problem-solving and spatial reasoning—skills that are more challenging for machines to replicate, particularly in novel or atypical situations. The primary bottleneck skills that inhibit full automation in this occupation relate to originality, with measured importance levels of 2.9% and 3.0%. While relatively low, these levels indicate that CNC tool programming sometimes requires creative approaches to optimizing machine usage, finding novel solutions to unique manufacturing challenges, or overcoming unforeseen issues in the production process. These creative components are significantly harder to automate, as they demand flexible thinking, the integration of multidisciplinary knowledge, and the ability to adapt established processes to new conditions. As a result, while the majority of the role's tasks are highly amenable to automation, the enduring need for some level of originality and creative intervention helps keep the automation risk just below the base estimate.