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Transport & Logistics · Updated Aug 2026

Industrial Truck and Tractor Operators

Operate industrial trucks or tractors equipped to move materials around a warehouse, storage yard, factory, construction site, or similar location.

JVS 2.0.0-phase4b
AI Exposure
25/100
Low

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
33/100
Low

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence83/100
Task coverage93%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Weigh materials or products and record weight or other production data on tags or labels.High
67
Inspect product load for accuracy and safely move it around the warehouse or facility to ensure timely and complete delivery.High
28
Position lifting devices under, over, or around loaded pallets, skids, or boxes and secure material or products for transport to designated areas.High
21
Move levers or controls that operate lifting devices, such as forklifts, lift beams with swivel-hooks, hoists, or elevating platforms, to load, unload, transport, or stack material.High
19
Perform routine maintenance on vehicles or auxiliary equipment, such as cleaning, lubricating, recharging batteries, fueling, or replacing liquefied-gas tank.High
23
Manually or mechanically load or unload materials from pallets, skids, platforms, cars, lifting devices, or other transport vehicles.High
15
Operate or tend automatic stacking, loading, packaging, or cutting machines.High
21
Move controls to drive gasoline- or electric-powered trucks, cars, or tractors and transport materials between loading, processing, and storage areas.High
13
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Weigh materials or products and record weight or other production data on tags or labels.67
  2. Inspect product load for accuracy and safely move it around the warehouse or facility to ensure timely and complete delivery.28
  3. Perform routine maintenance on vehicles or auxiliary equipment, such as cleaning, lubricating, recharging batteries, fueling, or replacing liquefied-gas tank.23
  4. Position lifting devices under, over, or around loaded pallets, skids, or boxes and secure material or products for transport to designated areas.21
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Move controls to drive gasoline- or electric-powered trucks, cars, or tractors and transport materials between loading, processing, and storage areas.01
  2. Manually or mechanically load or unload materials from pallets, skids, platforms, cars, lifting devices, or other transport vehicles.02
  3. Move levers or controls that operate lifting devices, such as forklifts, lift beams with swivel-hooks, hoists, or elevating platforms, to load, unload, transport, or stack material.03
  4. Operate or tend automatic stacking, loading, packaging, or cutting machines.04
  5. Position lifting devices under, over, or around loaded pallets, skids, or boxes and secure material or products for transport to designated areas.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency64
Physical dependency75
Adoption pressure45
Labour-market resilience69
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence83/100
CalculatedAug 21, 2026
Read methodology →