Electric Motor, Power Tool, and Related Repairers
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Repair, maintain, or install electric motors, wiring, or switches.
The occupation "Electric Motor, Power Tool, and Related Repairers" has an automation risk of 25.4%, which is relatively moderate compared to some other technical jobs. The base risk for this field is 25.8%, reflecting how certain routine or diagnostic activities within this occupation are susceptible to automation but not overwhelmingly so. While advancements in robotics and diagnostic software have made some processes easier to automate, the wide variety of equipment types and the frequent need for personalized problem-solving reduce the overall risk. The hands-on nature of much of the work, coupled with tasks that demand adaptability, further limit automation feasibility. Therefore, while some processes can be partially automated, the job retains many components that are challenging for machines to replicate. Among the most automatable tasks in this role are those based largely on standardized or repeatable processes. For example, "Inspect and test equipment to locate damage or worn parts and diagnose malfunctions, or read work orders or schematic drawings to determine required repairs" can be partially automated with sensor-based systems and AI-driven diagnostics. Similarly, "Reassemble repaired electric motors to specified requirements and ratings, using hand tools and electrical meters" may be handled by robotic systems in controlled environments. Additionally, measuring technical parameters using instruments like ammeters and voltmeters—tasks such as "Measure velocity, horsepower, revolutions per minute (rpm), amperage, circuitry, and voltage of units or parts to diagnose problems"—can increasingly be streamlined by automated equipment and digital interfaces, reducing the reliance on manual measurement. However, certain tasks remain highly resistant to automation due to their demand for manual skill or nuanced judgment. "Test battery charges, and replace or recharge batteries as necessary" often involves physical handling and on-the-spot troubleshooting, which is difficult for machines to manage reliably. Manual sharpening of tools on grinders and emery wheels requires dexterity and adaptability—skills not easily replaced by automated solutions. Similarly, the repair and operation of battery-charging equipment demand adaptive expertise and hands-on adjustments. These resistant tasks are supported by bottleneck skills like Originality, even though their measured levels (2.8% and 2.9%) are relatively low, they still introduce enough requirement for creative and adaptive thinking that automation remains challenging for a significant portion of the job.