Will AI replace first-line supervisors of material-moving machine and vehicle operators?

The biggest change here is physical: systems like Fox Robotics FoxBot autonomous forklift have done tasks such as “Drive vehicles or operate machines or equipment to complete work assignments or to assist workers” in real workplaces, about 48m of a typical shift. Most of the rest, 7h 12m, has no AI or robot evidence.

Time card for first-line supervisors of material-moving machine and vehicle operators showing a typical 8-hour shift: 7h 12m done by people, 48m by robots.
Each mark is 5 minutes of a typical shift for first-line supervisors of material-moving machine and vehicle operators, colored by who does that task today. Estimates from O*NET tasks and Anthropic Economic Index data. How it's made

Home / Transportation & warehouse / First-Line Supervisors of Material-Moving Machine and Vehicle Operators

Directly supervise and coordinate activities of material-moving machine and vehicle operators and helpers.

Time card

Untick tasks you don't do, or set your own times.
MineTask, by time spentHumanWith AIAIRobot
Monitor field work to ensure proper performance and use of materials.43m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Direct workers in transportation or related services, such as pumping, moving, storing, or loading or unloading of materials.43m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Confer with customers, supervisors, contractors, or other personnel to exchange information or to resolve problems.37m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Plan work assignments and equipment allocations to meet transportation, operations or production goals.37m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Review orders, production schedules, blueprints, or shipping or receiving notices to determine work sequences and material shipping dates, types, volumes, or destinations.32m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Drive vehicles or operate machines or equipment to complete work assignments or to assist workers.32m a shift · Robots deployed · e.g. Fox Robotics FoxBot autonomous forklift
Why this label?Marked Robot because Fox Robotics FoxBot autonomous forklift (in real use) has done this task in a real workplace. It shows a robot can do it somewhere, not that most first-line supervisors of material-moving machine and vehicle operators work alongside one. How labels work
Enforce safety rules and regulations.27m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Resolve worker problems or collaborate with employees to assist in problem resolution.27m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Maintain or verify records of time, materials, expenditures, or crew activities.27m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Inspect or test materials, stock, vehicles, equipment, or facilities to ensure that they are safe, free of defects, and consistent with specifications.21m a shift · Robots only in factory cells
Why this label?Robots have done this only in factory setups built around the machine, so it stays Human for first-line supervisors of material-moving machine and vehicle operators. How labels work
Prepare, compile, and submit reports on work activities, operations, production, or work-related accidents.21m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Plan and establish schedules.21m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Explain and demonstrate work tasks to new workers or assign training tasks to experienced workers.16m a shift · No AI or robot evidence found
Why this label?This is physical work, and no robot has been shown doing it yet. How labels work
Perform or schedule repairs or preventive maintenance of vehicles or other equipment.16m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Assist workers in tasks, such as loading vehicles.16m a shift · Robots deployed · e.g. Boston Dynamics Stretch
Why this label?Marked Robot because Boston Dynamics Stretch (in real use) has done this task in a real workplace. It shows a robot can do it somewhere, not that most first-line supervisors of material-moving machine and vehicle operators work alongside one. How labels work
Interpret transportation or tariff regulations, shipping orders, safety regulations, or company policies and procedures for workers.11m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Examine, measure, or weigh cargo or materials to determine specific handling requirements.11m a shift · Robots only in factory cells
Why this label?Robots have done this only in factory setups built around the machine, so it stays Human for first-line supervisors of material-moving machine and vehicle operators. How labels work
Requisition needed personnel, supplies, equipment, parts, or repair services.11m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Recommend and implement measures to improve worker motivation, equipment performance, work methods, or customer services.11m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Recommend or implement personnel actions, such as employee selection, evaluation, rewards, or disciplinary actions.11m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Dispatch personnel and vehicles in response to telephone or radio reports of emergencies.5m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work
Compute or estimate cash, payroll, transportation, personnel, or storage requirements.5m a shift · No AI or robot evidence found
Why this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work

Clock history

  1. 48m touchedFirst published: O*NET 30.1, Anthropic Economic Index (2025 usage and September 2026 robot study), BLS May 2025

When new data changes this clock, the date, the new numbers and the reason are logged here. Company news alone never moves the clock.

On the floor

No company news tracked for this job yet. New stories are added as they happen.

Ask the clock

Will AI replace first-line supervisors of material-moving machine and vehicle operators?

Unlikely, though parts of the work are changing. About 48m of an 8-hour shift goes to tasks touched by robots. The other 7h 12m (90%) stays with people.

What can AI already do for first-line supervisors of material-moving machine and vehicle operators?

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

Where do robots fit in?

For some tasks, yes. Robots have done 2 of this job's tasks in workplaces like this one, about 48m of a typical shift. 2 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 1 physical task, no robot has shown it can do the work yet.

  • Drive vehicles or operate machines or equipment to complete work assignments or to assist workers. (32m a shift; e.g. Fox Robotics FoxBot autonomous forklift, in use)
  • Assist workers in tasks, such as loading vehicles. (16m a shift; e.g. Boston Dynamics Stretch, in use)
What still needs a person?

7h 12m of a typical shift, or 90%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

  • Monitor field work to ensure proper performance and use of materials. (43m a shift)
  • Direct workers in transportation or related services, such as pumping, moving, storing, or loading or unloading of materials. (43m a shift)
  • Confer with customers, supervisors, contractors, or other personnel to exchange information or to resolve problems. (37m a shift)
  • Plan work assignments and equipment allocations to meet transportation, operations or production goals. (37m a shift)
  • Review orders, production schedules, blueprints, or shipping or receiving notices to determine work sequences and material shipping dates, types, volumes, or destinations. (32m a shift)
Why is that work hard to automate?

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

  • 92% are in constant contact with other people
  • 89% say dealing with the public is very or extremely important
  • 89% handle conflict at least once a week
Are employers still hiring first-line supervisors of material-moving machine and vehicle operators?

On Indeed, job postings in the Logistic Support sector are at 119% of their February 2020 level (all U.S. postings: 104%), up 5.1% from a year earlier, as of Oct 9, 2026. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

How much do first-line supervisors of material-moving machine and vehicle operators make?

The median pay is about $62,840 a year ($30.21 an hour), 23% above the median for all U.S. jobs ($50,980). Most people in this job earn between $43,350 and $96,100 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer.

How many first-line supervisors of material-moving machine and vehicle operators are there in the U.S.?

About 633,000 people in the U.S., roughly 0.41% of all workers (BLS, May 2025). That makes it the 65th largest of the 796 jobs on this site.

What training do first-line supervisors of material-moving machine and vehicle operators need?

The most common requirement is a high school diploma: about 30% of people in the job said so in the official O*NET survey. O*NET rates the job at level 3 of 5 for preparation, which usually means: vocational school or associate's degree. Requirements vary by state and employer, especially for licensed work.

What should I learn to stay ahead of AI?

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

  • Skills that matter more here than in most jobs: Management of Personnel Resources, Time Management, Coordination, Negotiation
  • Get strong at the parts of the job that stay with people (listed above), which take 7h 12m of a typical shift
  • Tools employers list: SAP software, Microsoft PowerPoint, Microsoft Outlook, Microsoft Office software, Microsoft Excel
What other jobs could first-line supervisors of material-moving machine and vehicle operators move into?

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

  • Aircraft Cargo Handling Supervisors (0m touched, $58k median pay)
  • First-Line Supervisors of Production and Operating Workers (11m touched, $74k median pay)
How solid are these numbers?

Each task carries its own evidence label. For this job: 2 with robots in real deployments, 20 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.

Tools in demand

  • SAP software
  • Microsoft Access

Plus everyday office tools: Microsoft PowerPoint, Microsoft Outlook, Microsoft Office software, Microsoft Excel, Microsoft Word.

Also called

Building Materials Supervisor, Bus Dispatcher Supervisor, Bus Driver Supervisor, Cab Dispatcher Supervisor, Cab Supervisor, Car Supervisor, Cargo Manager, Cargo Supervisor, Circus Train Supervisor, Coal Yard Supervisor, Concrete Products Dispatcher, Crane Crew Supervisor, DC Supervisor (Distribution Center Supervisor), Delivery Supervisor