Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic
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Set up, operate, or tend more than one type of cutting or forming machine tool or robot.
The occupation "Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic" has an automation risk score of 44.7%, which is closely aligned with its base risk of 45.2%. This means that nearly half of the core tasks in this role are susceptible to being automated by current or near-future technologies. The relatively moderate risk reflects the fact that many functions performed by these workers are routine, repetitive, or rely heavily on precision—areas where machines excel. For example, as manufacturing environments leverage more advanced robotics and automated quality control equipment, the need for human intervention in basic machine operation continues to decrease. The top three most automatable tasks in this occupation illuminate why the risk is moderately high. Inspecting workpieces for defects using measuring instruments, positioning and securing stock material, and reading blueprints for operating sequences are all processes that can be standardized and replicated by machines. Automated vision systems can check for defects more consistently than human eyes, while robotic arms can handle, position, and secure materials with high efficiency. Furthermore, modern software can interpret digital blueprints and relay instructions to machines without the need for manual translation, reducing the need for human oversight in these steps. However, the occupation is not fully automatable, and several resistant tasks prevent the risk score from being higher. For example, aligning layout marks with dies or blades often requires fine motor skills and real-time judgment in variable situations—capabilities that are difficult for robots to replicate. Writing programs for CNC machines also demands a level of technical knowledge, flexibility, and problem-solving that automation struggles with, especially in custom or non-standard jobs. Moreover, measuring and marking precise reference points on workpieces still relies on a combination of experience and adaptability. The key bottleneck skill here is originality, albeit at low levels (2.6% and 2.1%), which slightly limits the scope of automation but signals that creative problem-solving and custom setup remain human-centric components of the job.