Report vehicle or equipment malfunctions.

Report vehicle or equipment malfunctions. is a detailed work activity in O*NET — a concrete unit of work shared across 13 occupations and seen in 15 occupation-specific tasks. It rolls up into the broader work activity Notify others of emergencies or problems. in Communicating with Supervisors, Peers, or Subordinates .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 15 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 8 (53%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Respond to and report in-flight emergencies and malfunctions. · Airline Pilots, Copilots, and Flight Engineers · importance 4.9 · exposure with tools
• Monitor engine, machinery, or equipment indicators when vessels are underway, and report abnormalities to appropriate shipboard staff. · Ship Engineers · importance 4.8 · no direct exposure
• Report any bus malfunctions or needed repairs. · Bus Drivers, School · importance 4.8 · no direct exposure
• Report any mechanical problems encountered with vehicles. · Light Truck Drivers · importance 4.8 · direct LLM exposure
• Report any vehicle malfunctions or needed repairs. · Shuttle Drivers and Chauffeurs · importance 4.7 · no direct exposure
• Report delays, mechanical problems, and emergencies to supervisors or dispatchers, using radios. · Subway and Streetcar Operators · importance 4.7 · direct LLM exposure
• Notify dispatchers or company mechanics of vehicle problems. · Shuttle Drivers and Chauffeurs · importance 4.6 · no direct exposure
• Report vehicle defects, accidents, traffic violations, or damage to the vehicles. · Heavy and Tractor-Trailer Truck Drivers · importance 4.5 · direct LLM exposure
• Inform supervisors of equipment malfunctions that need to be addressed. · Conveyor Operators and Tenders · importance 4.5 · no direct exposure
• Monitor gauges and flowmeters and inspect equipment to ensure that tank levels, temperatures, chemical amounts, and pressures are at specified levels, reporting abnormalities as necessary. · Pump Operators, Except Wellhead Pumpers · importance 4.5 · exposure with tools
• Write and submit maintenance work requisitions. · Bridge and Lock Tenders · importance 4.4 · direct LLM exposure
• Inspect canal and bridge equipment, and areas, such as roadbeds, for damage or defects, reporting problems to supervisors as necessary. · Bridge and Lock Tenders · importance 4.4 · no direct exposure
• Communicate with dispatchers concerning delays, unsafe sites, accidents, equipment breakdowns, or other maintenance problems. · Refuse and Recyclable Material Collectors · importance 4.0 · direct LLM exposure
• Monitor operation of cleaning machines and stop machines or notify supervisors when malfunctions occur. · Cleaners of Vehicles and Equipment · importance 3.6 · no direct exposure
• Notify dispatchers or company mechanics of vehicle problems. · Taxi Drivers · direct LLM exposure

Occupations that perform this

• Airline Pilots, Copilots, and Flight Engineers
• Ship Engineers
• Bus Drivers, School
• Light Truck Drivers
• Shuttle Drivers and Chauffeurs
• Subway and Streetcar Operators
• Heavy and Tractor-Trailer Truck Drivers
• Conveyor Operators and Tenders
• Pump Operators, Except Wellhead Pumpers
• Bridge and Lock Tenders
• Refuse and Recyclable Material Collectors
• Cleaners of Vehicles and Equipment
• Taxi Drivers

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-report-vehicle-or-equipment-malfunctions,
  title  = {Report vehicle or equipment malfunctions.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/report-vehicle-or-equipment-malfunctions}
}