AI exposure by occupation, O*NET 53-1043.00
Will AI replace First-Line Supervisors of Material-Moving Machine and Vehicle Operators?
First-Line Supervisors of Material-Moving Machine and Vehicle Operators: AI can already handle 6 of 22 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 22 tasks O*NET 30.3 lists for First-Line Supervisors of Material-Moving Machine and Vehicle Operators, from most to least exposed. 6 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Maintain or verify records of time, materials, expenditures, or crew activities. | Estimated | Standard | |
| Prepare, compile, and submit reports on work activities, operations, production, or work-related accidents. | Estimated | Standard | |
| Interpret transportation or tariff regulations, shipping orders, safety regulations, or company policies and procedures for workers. | Estimated | Efficient | |
| Review orders, production schedules, blueprints, or shipping or receiving notices to determine work sequences and material shipping dates, types, volumes, or destinations. | Estimated | Efficient | |
| Recommend and implement measures to improve worker motivation, equipment performance, work methods, or customer services. | Estimated | Frontier | |
| Recommend or implement personnel actions, such as employee selection, evaluation, rewards, or disciplinary actions. | Estimated | Frontier | |
| Plan work assignments and equipment allocations to meet transportation, operations or production goals. | Estimated | Frontier | |
| Plan and establish schedules. | Estimated | Efficient | |
| Explain and demonstrate work tasks to new workers or assign training tasks to experienced workers. | Estimated | Efficient | |
| Inspect or test materials, stock, vehicles, equipment, or facilities to ensure that they are safe, free of defects, and consistent with specifications. | Estimated | Efficient | |
| Requisition needed personnel, supplies, equipment, parts, or repair services. | Estimated | Standard | |
| Perform or schedule repairs or preventive maintenance of vehicles or other equipment. | Estimated | Efficient | |
| Enforce safety rules and regulations. | Estimated | No tier | |
| Resolve worker problems or collaborate with employees to assist in problem resolution. | Estimated | No tier | |
| Confer with customers, supervisors, contractors, or other personnel to exchange information or to resolve problems. | Estimated | No tier | |
| Examine, measure, or weigh cargo or materials to determine specific handling requirements. | Estimated | No tier | |
| Monitor field work to ensure proper performance and use of materials. | Estimated | No tier | |
| Dispatch personnel and vehicles in response to telephone or radio reports of emergencies. | Estimated | No tier | |
| Compute or estimate cash, payroll, transportation, personnel, or storage requirements. | Estimated | No tier | |
| Assist workers in tasks, such as loading vehicles. | Estimated | No tier | |
| Direct workers in transportation or related services, such as pumping, moving, storing, or loading or unloading of materials. | Estimated | No tier | |
| Drive vehicles or operate machines or equipment to complete work assignments or to assist workers. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 22 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 22 of 22. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 55% of the role's importance-weighted task work. 55% of the work is something AI can address at some tier, and 45% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
BLS Occupational Employment and Wage Statistics (May 2025) publishes no national employment or wage figure for this O*NET occupation.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand 82% skill overlap, about 7 months to move Exposure30
- First-Line Supervisors of Production and Operating Workers 75% skill overlap, about 9 months to move Exposure38
- First-Line Supervisors of Construction Trades and Extraction Workers 70% skill overlap, about 11 months to move Exposure38
- First-Line Supervisors of Non-Retail Sales Workers 68% skill overlap, about 12 months to move Exposure54
- First-Line Supervisors of Passenger Attendants 67% skill overlap, about 12 months to move Exposure26
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about First-Line Supervisors of Material-Moving Machine and Vehicle Operators and AI
Will AI replace First-Line Supervisors of Material-Moving Machine and Vehicle Operators?
AI already handles 6 of the 22 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 34 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.
What is the AI exposure of First-Line Supervisors of Material-Moving Machine and Vehicle Operators?
34 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 22 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 22 are estimated from each task's O*NET work activity.
Which First-Line Supervisors of Material-Moving Machine and Vehicle Operators tasks can AI already do?
The tasks with the highest exposure are: Maintain or verify records of time, materials, expenditures, or crew activities; Prepare, compile, and submit reports on work activities, operations, production, or work-related accidents; Interpret transportation or tariff regulations, shipping orders, safety regulations, or company policies and procedures for workers. They are three of the 6 tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 55% of the role's importance-weighted task work, and 45% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: First-Line Supervisors of Material-Moving Machine and Vehicle Operators. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/first-line-supervisors-of-material-moving-machine-and-vehicle-operators
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