Repair, maintain, or install computers, word processing systems, automated teller machines, and electronic office machines, such as duplicating and fax machines.
U.S. Workers
73,010
Median Salary
$46,860
10-Year Growth
-0.9%
Annual Openings
7,600
Typical entry: Some college, no degree
24 of 25 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.
Converse with customers to determine details of equipment problems.
AI: Fully automatable - Conversational AI in 2025 can reliably elicit problem details, run diagnostic flows, and triage customer issues end‑to‑end in many repair contexts.
Advise customers concerning equipment operation, maintenance, or programming.
AI: Fully automatable - AI systems, knowledge bases, and diagnostic chatbots can fully provide operational, maintenance, and programming advice remotely and interactively.
Maintain parts inventories and order any additional parts needed for repairs.
AI: Fully automatable - Inventory tracking and automated parts ordering are routine software/AI tasks and can be fully automated with existing systems.
Reinstall software programs or adjust settings on existing software to fix machine malfunctions.
AI: Fully automatable - Reinstalling software and adjusting software settings can be fully automated and executed remotely by scripts and AI management tools.
Operate machines to test functioning of parts or mechanisms.
AI: Fully automatable - Where machines expose control or diagnostic interfaces, AI can run test routines and operate equipment to verify part and mechanism function.
Maintain records of equipment maintenance work or repairs.
AI: Fully automatable - Maintaining records of maintenance and repairs is information work that can be fully handled by databases, workflow software, and AI automation.
Test new systems to ensure that they are in working order.
AI: Fully automatable - Testing new systems can be automated with test scripts, simulation environments, and AI orchestration and analysis tools to ensure working order.
Complete repair bills, shop records, time cards, or expense reports.
AI: Fully automatable - Filling repair bills, shop records, time cards and expense reports is clerical work that can be fully automated with OCR, RPA and LLMs integrated into workflow systems.
Analyze equipment performance records to assess equipment functioning.
AI: Fully automatable - Analyzing equipment performance records is data-driven and can be fully automated by ML/AI diagnostics and anomaly-detection systems.
Read specifications, such as blueprints, charts, or schematics, to determine machine settings or adjustments.
AI: Fully automatable - Modern AI and rule-based systems can read and interpret blueprints, schematics and charts to recommend machine settings or adjustments.
Enter information into computers to copy programs from one electronic component to another or to draw, modify, or store schematics.
AI: Fully automatable - Copying programs between components and drawing/modifying/storing schematics are software tasks that can be fully automated using scripts, RPA and design automation tools enhanced by AI.
Reassemble machines after making repairs or replacing parts.
AI: Partial - Physical reassembly in varied field conditions still relies on human dexterity and problem‑solving, though AI/robotics can automate standardized reassembly in controlled environments.
Disassemble machines to examine parts, such as wires, gears, or bearings for wear or defects, using hand or power tools and measuring devices.
AI: Partial - Disassembly and hands‑on inspection require manual tool use and on‑the‑spot judgment that AI cannot fully perform outside specialized robotic setups, though AI can guide technicians and interpret measurements.
Align, adjust, or calibrate equipment according to specifications.
AI: Partial - Calibration usually requires physical measurement and fine mechanical adjustment so AI can compute parameters and guide technicians but typically cannot perform the physical alignment itself.
Repair, adjust, or replace electrical or mechanical components or parts, using hand tools, power tools, or soldering or welding equipment.
AI: Partial - AI can diagnose and provide step‑by‑step repair instructions or control specialized robots in limited settings, but it cannot generally perform hands‑on electrical/mechanical repairs, soldering, or welding in the field.
Clean, oil, or adjust mechanical parts to maintain machines' operating efficiency and to prevent breakdowns.
AI: Partial - Cleaning, oiling, and manual mechanical adjustments are physical tasks that AI can schedule and instruct humans to perform but rarely carry out itself.
Install and configure new equipment, including operating software or peripheral equipment.
AI: Partial - Software configuration and scripted setup can be automated, but physical installation of hardware and on-site mounting still requires human or robotic intervention in most field contexts.
Update existing equipment, performing tasks such as installing updated circuit boards or additional memory.
AI: Partial - Software-driven updates and guidance can be automated, but physically replacing circuit boards or memory modules typically requires human or robotic mechanics.
Test components or circuits of faulty equipment to locate defects, using oscilloscopes, signal generators, ammeters, voltmeters, or special diagnostic software programs.
AI: Partial - Diagnostic software and AI can run tests and interpret measurements, yet manual probe placement, hands-on component access and some instrument manipulations remain human-dependent in many field scenarios.
Assemble machines according to specifications, using hand or power tools and measuring devices.
AI: Partial - Assembly can be automated in controlled manufacturing lines, but varied, tool-based hand assembly in field or low-volume contexts still requires human dexterity and judgment.
Lay cable and hook up electrical connections between machines, power sources, and phone lines.
AI: Partial - Routing cable and making electrical/telecom connections involve on-site physical work and safety procedures that are not fully automatable by AI alone in most real-world settings.
Calibrate testing instruments.
AI: Partial - Many instruments support automated calibration and AI can run and analyze routines, but some calibrations require manual adjustments, physical standards, or traceable procedures that limit full automation.
Fill machines with toners, inks, or other duplicating fluids.
AI: Partial - Refilling toners and inks is mechanically simple and can be aided or automated in controlled environments, but field replenishment is mostly a manual task today.
Train new repairers.
AI: Partial - AI can provide training content, simulations, assessments, and remote coaching but cannot fully replace hands‑on mentoring, field apprenticeship, and practical supervision.
Travel to customers' stores or offices to service machines or to provide emergency repair service.
AI: Not automatable - AI cannot itself travel to customers or provide physical on‑site emergency service, only coordinate human or robotic field agents.