Repair, test, adjust, or install electronic equipment, such as industrial controls, transmitters, and antennas.
U.S. Workers
59,990
Median Salary
$71,300
10-Year Growth
-0.8%
Annual Openings
4,700
Typical entry: Postsecondary nondegree award
20 of 20 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Study blueprints, schematics, manuals, or other specifications to determine installation procedures.
AI: Fully automatable - AI can parse blueprints and schematics and produce installation procedures by combining diagram understanding with technical knowledge and standards.
Maintain equipment logs that record performance problems, repairs, calibrations, or tests.
AI: Fully automatable - Maintaining equipment logs is a documentation and data-ingestion task that can be fully automated by extracting sensor, test, and repair records and generating standard entries.
Examine work orders and converse with equipment operators to detect equipment problems and to ascertain whether mechanical or human errors contributed to the problems.
AI: Fully automatable - Examining work orders and conversing with operators to triage problems is primarily an information-processing and dialogue task that AI diagnostic systems and chatbots can fully automate in most cases.
Enter information into computer to copy program or to draw, modify, or store schematics, applying knowledge of software package used.
AI: Fully automatable - Entering, copying programs, and drawing or modifying schematics can be fully automated using software automation, CAD/EDA integration, and AI‑assisted editing workflows.
Maintain inventory of spare parts.
AI: Fully automatable - Maintaining spare‑parts inventory—tracking, replenishment, and recordkeeping—can be fully automated with inventory management systems, barcodes/RFID, and predictive reorder logic.
Send defective units to the manufacturer or to a specialized repair shop for repair.
AI: Fully automatable - Arranging return shipments and sending defective units to manufacturers or repair shops is routine logistics that can be fully automated via RMAs, shipping integrations, and workflow automation.
Advise management regarding customer satisfaction, product performance, or suggestions for product improvements.
AI: Fully automatable - AI can aggregate customer satisfaction data and product performance metrics and produce actionable recommendations, effectively fulfilling the advisory role for many management decisions.
Test faulty equipment to diagnose malfunctions, using test equipment or software, and applying knowledge of the functional operation of electronic units and systems.
AI: Partial - AI can analyze test data and suggest diagnoses remotely, but cannot perform most hands-on testing with physical probes and equipment in the field.
Repair or adjust equipment, machines, or defective components, replacing worn parts, such as gaskets or seals in watertight electrical equipment.
AI: Partial - Repairing or replacing components requires manual dexterity and physical access; AI can provide guidance and instructions but not perform most field repairs autonomously.
Inspect components of industrial equipment for accurate assembly and installation or for defects, such as loose connections or frayed wires.
AI: Partial - Computer vision and sensor analytics can detect many visible defects, but tactile checks and context-sensitive inspections still require human verification.
Perform scheduled preventive maintenance tasks, such as checking, cleaning, or repairing equipment, to detect and prevent problems.
AI: Partial - AI can plan, schedule, and guide preventive maintenance and automate some checks, but most physical checking, cleaning, and repairs need human or robotic action.
Calibrate testing instruments and installed or repaired equipment to prescribed specifications.
AI: Partial - AI can compute calibration adjustments and control instruments where interfaces exist, but many calibrations require manual manipulation, certified procedures, or specialized equipment, preventing full automation.
Set up and test industrial equipment to ensure that it functions properly.
AI: Partial - Setting up and testing equipment often involves physical assembly and on-site adjustments, so AI can automate test procedures and controls but not the entire physical setup in general.
Operate equipment to demonstrate proper use or to analyze malfunctions.
AI: Partial - AI can analyze operational data and provide step‑by‑step instructions or remote diagnostics to demonstrate use or analyze faults, but cannot reliably perform on‑site physical operation across varied industrial equipment without human or specialized robotics.
Coordinate efforts with other workers involved in installing or maintaining equipment or components.
AI: Partial - AI can automate scheduling, share plans, and suggest coordination actions, but cannot fully replace human leadership, real‑time judgment, and on‑the‑ground coordination among workers in complex installations.
Consult with customers, supervisors, or engineers to plan layout of equipment or to resolve problems in system operation or maintenance.
AI: Partial - AI can generate layout proposals and troubleshooting options from specs and data and can support consultations, but lacks the full contextual awareness, responsibility, and interpersonal authority to completely conduct stakeholder planning and resolution on its own.
Install repaired equipment in various settings, such as industrial or military establishments.
AI: Partial - AI can plan and guide installations remotely but cannot reliably perform the diverse, hands‑on physical installation work in industrial or military settings without specialized field robotics and human oversight.
Develop or modify industrial electronic devices, circuits, or equipment, according to available specifications.
AI: Partial - AI can design and modify electronic circuits and propose device changes (including simulations and layouts), but cannot fully execute prototyping, hands‑on assembly, and real‑world safety validation without human engineers and lab work.
Determine feasibility of using standardized equipment or develop specifications for equipment required to perform additional functions.
AI: Partial - AI can analyze options, compare standardized equipment, and draft specifications, but determining feasibility requires site‑specific constraints, cost tradeoffs, and stakeholder decisions that limit full automation.
Sign overhaul documents for equipment replaced or repaired.
AI: Partial - AI can prepare, populate, and manage overhaul documents and support electronic signatures, but it cannot universally provide the legally required human authorization or physical signature in many contexts.