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Will AI replace Light Truck Drivers?

Drive a light vehicle, such as a truck or van, with a capacity of less than 26,001 pounds Gross Vehicle Weight (GVW), primarily to pick up merchandise or packages from a distribution center and deliver. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 53-3033.00 · modeled exposure, not guaranteed job loss
MODERATE TASK EXPOSURE
47%
Estimated share of representative tasks exposed to current AI capabilities.
Last updatedAugust 20, 2026
Evidence confidenceMedium
Browse this risk tierModerate exposure jobs →
Task automation shareⓘ
47%Automatable
Automatable47%
Augmentable27%
Hard to automate26%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Trades & Physical
Field & Physical
Modeled pay midpoint$
$97,700/yr
Directional estimate — verify locally
Time until impact⌁
2–4 years
Earliest 2027 · widespread 2029–2031
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Obey traffic laws and follow established traffic and transportation procedures.57%
⚙Report any mechanical problems encountered with vehicles.46%
▥Verify the contents of inventory loads against shipping papers.34%
✦Physical dexterity in unpredictable settings18%
✦Safety responsibility and on-site judgment14%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2027Next2029–2031
Early impactAI begins supporting obey traffic laws and follow established traffic and transportation procedures..
Role reshapingRepeatable tasks become faster and more automated.
Wider adoptionThe role centers more on physical dexterity in unpredictable settings.
2–4 yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Light Truck Drivers.
02>AI can help with: Obey traffic laws and follow established traffic and transportation procedures.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Physical dexterity in unpredictable settings.
05>Likely result: AI is more likely to change this job than remove it.
06>Important: 47% is estimated task exposure—not a 47% chance of losing the job.
What AI can do
Obey traffic laws and follow established traffic and transportation procedures.MEDIUM
Report any mechanical problems encountered with vehicles.MEDIUM
Verify the contents of inventory loads against shipping papers.LOW MATCH
How estimates work →
Your human moat
◆

Physical dexterity in unpredictable settings

MEDIUM-HIGH

Combined with safety responsibility and on-site judgment, this keeps a human in the loop.

Strength8.4
Similar-role comparison
RoleRisk
Light Truck Drivers47%
Machinists47%
Crane and Tower Operators47%
Bus Drivers, School46%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The role mixes repeatable work with human judgment.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is physical dexterity in unpredictable settings.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025O*NET 53-3033.00Share report
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Sources for this report

Official occupation tasks; timeline remains uncertain Scores are directional estimates and sources do not endorse this site’s exact percentage.

O*NET 53-3033.00 occupation profile ↗ILO Generative AI and Jobs 2025 ↗Scoring methodology →

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