Diagnose faults or malfunctions to determine required repairs, using engine diagnostic equipment such as computerized test equipment and calibration devices.

“Diagnose faults or malfunctions to determine required repairs, using engine diagnostic equipment such as computerized test equipment and calibration devices.” is a core task performed by Mobile Heavy Equipment Mechanics, Except Engines. Among the occupation's 20 rated tasks, workers place it 12th by importance (#9 most important). About 95% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Diagnose system or equipment problems. in Making Decisions and Solving Problems

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E0. No direct exposure — current language models give little or no time savings on this task.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.00. Automation potential label: T1.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.003% share of AI-use records mapped to this task
• Most common interaction: learning
• Average autonomy of the AI: 3.6 (1–5; higher = more autonomous)
• 97% of interactions still needed a human in the loop

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Working with AI vs. handing it off

Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.

How people interact with AI on this task

Other tasks in this occupation

• Repair and replace damaged or worn parts. · importance 4.5
• Test mechanical products and equipment after repair or assembly to ensure proper performance and compliance with manufacturers' specifications. · importance 4.4
• Operate and inspect machines or heavy equipment to diagnose defects. · importance 4.4
• Read and understand operating manuals, blueprints, and technical drawings. · importance 4.3
• Dismantle and reassemble heavy equipment using hoists and hand tools. · importance 4.3
• Overhaul and test machines or equipment to ensure operating efficiency. · importance 4.2
• Adjust, maintain, and repair or replace subassemblies, such as transmissions and crawler heads, using hand tools, jacks, and cranes. · importance 4.2
• Repair, rewire, and troubleshoot electrical systems. · importance 4.2
• Examine parts for damage or excessive wear, using micrometers and gauges. · importance 4.0
• Weld or solder broken parts and structural members, using electric or gas welders and soldering tools. · importance 4.0
• Research, order, and maintain parts inventory for services and repairs. · importance 4.0
• Schedule maintenance for industrial machines and equipment, and keep equipment service records. · importance 4.0
• Fit bearings to adjust, repair, or overhaul mobile mechanical, hydraulic, and pneumatic equipment. · importance 4.0
• Clean, lubricate, and perform other routine maintenance work on equipment and vehicles. · importance 3.9

See all tasks on the Mobile Heavy Equipment Mechanics, Except Engines page.

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
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

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

@misc{singulariki-task-3003,
  title  = {Diagnose faults or malfunctions to determine required repairs, using engine diagnostic equipment such as computerized test equipment and calibration devices.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-3003}
}