Electronics Engineers, Except Computer
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Research, design, develop, or test electronic components and systems for commercial, industrial, military, or scientific use employing knowledge of electronic theory and materials properties. Design electronic circuits and components for use in fields such as telecommunications, aerospace guidance and propulsion control, acoustics, or instruments and controls.
The occupation "Electronics Engineers, Except Computer" has an automation risk of 47.9%, closely aligned with its base risk of 48.8%. This moderate risk level reflects that nearly half of the tasks performed in this field could potentially be automated in the foreseeable future. The core reason for this level of risk lies in the structured and well-defined aspects of the profession, such as using standardized methodologies and computer-aided tools. Many day-to-day tasks are data-driven and involve repetitive or predictable problem-solving, which makes them suitable for automation through current or advancing technologies. The top tasks most amenable to automation in the role include designing electronic components, software, products, or systems for various applications; operating computer-assisted engineering or design software to execute engineering tasks; and evaluating project work to ensure technical adequacy and compatibility. These activities often follow established processes and can be modeled or performed by advanced software and artificial intelligence systems. Automation solutions can handle complex calculations, simulations, and many design aspects rapidly and with high precision, reducing the reliance on manual efforts for such standardized engineering tasks. However, some aspects of the role are considerably more resistant to automation, acting as significant bottlenecks. These include tasks like researching and developing new green electronics technologies, representing employers at professional gatherings where nuanced negotiation and representation are critical, and investigating cutting-edge energy-saving applications for consumer electronics. These resistant tasks require a high level of originality, innovative thinking, and adaptive communication—skills that remain difficult for AI to replicate. The relatively low bottleneck skill percentages for originality (3.4% and 4.0%) highlight that while some creative tasks exist, the majority of work remains procedural, keeping the automation risk near the 50% mark.