Maintain material moving equipment in good working condition.
Detailed work activity
Maintain material moving equipment in good working condition. is a detailed work activity in O*NET — a concrete unit of work shared across 8 occupations and seen in 13 occupation-specific tasks. It rolls up into the broader work activity Maintain vehicles in working condition. in Repairing and Maintaining Mechanical Equipment .
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 13 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 0 (0%) 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.
- Inspect and adjust crane mechanisms or lifting accessories to prevent malfunctions or damage. · Crane and Tower Operators · importance 4.5 · no direct exposure
- Repair or replace equipment components or parts such as blades, rolls, and pumps. · Conveyor Operators and Tenders · importance 4.4 · no direct exposure
- Oil winch drums so that cables will wind smoothly. · Hoist and Winch Operators · importance 4.3 · no direct exposure
- Test vessels for leaks, damage, and defects, and repair or replace defective parts as necessary. · Tank Car, Truck, and Ship Loaders · importance 4.3 · no direct exposure
- Clean, lubricate, and maintain mechanisms such as cables, pulleys, or grappling devices, making repairs, as necessary. · Crane and Tower Operators · importance 4.3 · no direct exposure
- Clean, sterilize, and maintain equipment, machinery, and work stations, using hand tools, shovels, brooms, chemicals, hoses, and lubricants. · Conveyor Operators and Tenders · importance 4.2 · no direct exposure
- Clean, lubricate, and repair pumps and vessels, using hand tools and equipment. · Pump Operators, Except Wellhead Pumpers · importance 4.2 · no direct exposure
- Oil, lubricate, and adjust conveyors, crushers, and other equipment, using hand tools and lubricating equipment. · Loading and Moving Machine Operators, Underground Mining · importance 4.0 · no direct exposure
- Repair, maintain, and adjust equipment, using hand tools. · Hoist and Winch Operators · importance 4.0 · no direct exposure
- Lubricate, adjust, or repair machinery and replace parts, such as gears, bearings, or bucket teeth. · Excavating and Loading Machine and Dragline Operators, Surface Mining · importance 3.9 · no direct exposure
- Splice and repair ropes, wire cables, or cordage, using marlinespikes, wire cutters, twine, and hand tools. · Sailors and Marine Oilers · importance 3.7 · no direct exposure
- Replace hydraulic hoses, headlight bulbs, and gathering-arm teeth. · Loading and Moving Machine Operators, Underground Mining · importance 3.5 · no direct exposure
- Operate, maintain, or repair ship equipment, such as winches, cranes, derricks, or weapons system. · Sailors and Marine Oilers · importance 3.4 · no direct exposure
Occupations that perform this
- Crane and Tower Operators
- Conveyor Operators and Tenders
- Hoist and Winch Operators
- Tank Car, Truck, and Ship Loaders
- Pump Operators, Except Wellhead Pumpers
- Loading and Moving Machine Operators, Underground Mining
- Excavating and Loading Machine and Dragline Operators, Surface Mining
- Sailors and Marine Oilers
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.
Cite this page
Singulariki. "Maintain material moving equipment in good working condition.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/detailed-activities/maintain-material-moving-equipment-in-good-working-condition
Singulariki. (2026). Maintain material moving equipment in good working condition.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/maintain-material-moving-equipment-in-good-working-condition
@misc{singulariki-maintain-material-moving-equipment-in-good-working-condition,
title = {Maintain material moving equipment in good working condition.},
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/maintain-material-moving-equipment-in-good-working-condition}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.