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Transport & Logistics · Updated Aug 2026

Transportation Inspectors

Inspect equipment or goods in connection with the safe transport of cargo or people. Includes rail transportation inspectors, such as freight inspectors, rail inspectors, and other inspectors of transportation vehicles not elsewhere classified.

JVS 2.0.0-phase4b
AI Exposure
61/100
High

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

Replacement Risk
49/100
Moderate

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
Confidence82/100
Task coverage89%

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
Prepare and submit reports after completion of freight shipments.High
73
Record details about freight conditions, handling of freight, and any problems encountered.High
73
Inspect loaded cargo, cargo lashed to decks or in storage facilities, and cargo handling devices to determine compliance with health and safety regulations and need for maintenance.High
55
Notify workers of any special treatment required for shipments.Medium
73
Direct crews to reload freight or to insert additional bracing or packing as necessary.Medium
73
Advise crews in techniques of stowing dangerous and heavy cargo.High
73
Check temperatures and humidities of shipping and storage areas to ensure that they are at appropriate levels to protect cargo.Medium
73
Recommend remedial procedures to correct any violations found during inspections.High
56
Measure heights and widths of loads to ensure they will pass over bridges or through tunnels on scheduled routes.High
72
Inspect shipments to ensure that freight is securely braced and blocked.High
38
Determine cargo transportation capabilities by reading documents that set forth cargo loading and securing procedures, capacities, and stability factors.Medium
45
Observe loading of freight to ensure that crews comply with procedures.High
32
Most exposed

Where AI can do more

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

  1. Prepare and submit reports after completion of freight shipments.73
  2. Record details about freight conditions, handling of freight, and any problems encountered.73
  3. Notify workers of any special treatment required for shipments.73
  4. Direct crews to reload freight or to insert additional bracing or packing as necessary.73
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. Observe loading of freight to ensure that crews comply with procedures.01
  2. Inspect shipments to ensure that freight is securely braced and blocked.02
  3. Determine cargo transportation capabilities by reading documents that set forth cargo loading and securing procedures, capacities, and stability factors.03
  4. Prepare and submit reports after completion of freight shipments.04
  5. Record details about freight conditions, handling of freight, and any problems encountered.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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AI risk 39

Transportation Vehicle, Equipment and Systems Inspectors, Except Aviation

Closely related work

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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 dependency71
Physical dependency58
Adoption pressure49
Labour-market resilience67
Methodology & sources

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

Confidence82/100
CalculatedAug 21, 2026
Read methodology →