First-Line Supervisors of Material-Moving Machine and Vehicle Operators

First-Line Supervisors of Material-Moving Machine and Vehicle Operators score 37 out of 100, which is moderate exposure to AI. That ranks #449 of 923 US occupations, where #1 is the most exposed. Of the 22 tasks in this job, AI could speed up 3 on its own and 10 more with extra software built on top of it. In April–May 2026, 7 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

37/ 100

Moderate

Rank: #449of 923 jobs
US workers: 633,400for First-Line Supervisors of Transportation and Material Moving Workers
Median pay: $62,840a year
In real AI use: 7 of 22tasks, April–May 2026

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Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

AI can speed this up on its own: 3 (14%)
AI can speed this up with extra software: 10 (45%)
Little or no AI speed-up: 9 (41%)

Maintain or verify records of time, materials, expenditures, or crew activities.AI can speed this up on its own · core task · Seen in real AI use
Interpret transportation or tariff regulations, shipping orders, safety regulations, or company policies and procedures for workers.AI can speed this up on its own · core task · Seen in real AI use
Prepare, compile, and submit reports on work activities, operations, production, or work-related accidents.AI can speed this up on its own · core task · Seen in real AI use
Plan work assignments and equipment allocations to meet transportation, operations or production goals.AI can speed this up with extra software · core task · Seen in real AI use
Review orders, production schedules, blueprints, or shipping or receiving notices to determine work sequences and material shipping dates, types, volumes, or destinations.AI can speed this up with extra software · core task
Inspect or test materials, stock, vehicles, equipment, or facilities to ensure that they are safe, free of defects, and consistent with specifications.AI can speed this up with extra software · core task
Dispatch personnel and vehicles in response to telephone or radio reports of emergencies.AI can speed this up with extra software · core task
Recommend or implement personnel actions, such as employee selection, evaluation, rewards, or disciplinary actions.AI can speed this up with extra software · core task · Seen in real AI use
Requisition needed personnel, supplies, equipment, parts, or repair services.AI can speed this up with extra software · core task
Recommend and implement measures to improve worker motivation, equipment performance, work methods, or customer services.AI can speed this up with extra software · core task
Examine, measure, or weigh cargo or materials to determine specific handling requirements.AI can speed this up with extra software · supplemental task
Compute or estimate cash, payroll, transportation, personnel, or storage requirements.AI can speed this up with extra software · supplemental task
Plan and establish schedules.AI can speed this up with extra software
Enforce safety rules and regulations.Little or no AI speed-up · core task
Confer with customers, supervisors, contractors, or other personnel to exchange information or to resolve problems.Little or no AI speed-up · core task
Monitor field work to ensure proper performance and use of materials.Little or no AI speed-up · core task
Drive vehicles or operate machines or equipment to complete work assignments or to assist workers.Little or no AI speed-up · core task
Resolve worker problems or collaborate with employees to assist in problem resolution.Little or no AI speed-up · core task · Seen in real AI use
Perform or schedule repairs or preventive maintenance of vehicles or other equipment.Little or no AI speed-up · core task
Explain and demonstrate work tasks to new workers or assign training tasks to experienced workers.Little or no AI speed-up · core task · Seen in real AI use
Assist workers in tasks, such as loading vehicles.Little or no AI speed-up
Direct workers in transportation or related services, such as pumping, moving, storing, or loading or unloading of materials.Little or no AI speed-up

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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?

Unlikely. Most of the work is hard for today's AI to speed up. First-Line Supervisors of Material-Moving Machine and Vehicle Operators score 37 out of 100 (moderate exposure), #449 of 923 US jobs. AI could speed up 13 of the job's 22 tasks, 3 of them on its own, while 9 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which first-line supervisors of material-moving machine and vehicle operators tasks can AI do?

The most exposed tasks include "Maintain or verify records of time, materials, expenditures, or crew activities"; "Interpret transportation or tariff regulations, shipping orders, safety regulations, or company policies and procedures for workers"; "Prepare, compile, and submit reports on work activities, operations, production, or work-related accidents".

Which first-line supervisors of material-moving machine and vehicle operators tasks are hardest for AI?

Tasks with little or no AI speed-up include "Enforce safety rules and regulations"; "Confer with customers, supervisors, contractors, or other personnel to exchange information or to resolve problems"; "Monitor field work to ensure proper performance and use of materials".

Are people already using AI for this work?

Yes. In April–May 2026, 7 of the 22 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as first-line supervisors of material-moving machine and vehicle operators, and what do they earn?

About 633,400 people in the US (figure for First-Line Supervisors of Transportation and Material Moving Workers), with median pay of $62,840 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.