JobAIRisk

Light Truck Drivers

Light Truck Drivers — AI exposure, safer roles, and a pivot plan.

Also known as: Driver · Deliverer · Car Escort · Delivery Driver · Delivery Person · Commercial Driver

AI Task Exposure Score

High exposure

More exposed than 57% of 968 occupations · Rank #383 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

  • Maintain records, such as vehicle logs, records of cargo, or billing statements, in accordance with regulations.68

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

  • Drive vehicles with capacities under three tons to transport materials to and from specified destinations, such as railroad stations, plants, residences, offices, or within industrial yards.57
  • Report delays, accidents, or other traffic and transportation situations to bases or other vehicles, using telephones or mobile two-way radios.57
  • Report any mechanical problems encountered with vehicles.55

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

The current data release does not distinguish durable tasks for this role.

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 52 puts Light Truck Drivers in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 1 of 13 analyzed tasks lean automatable, 12 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

  • $44,860median wage
  • 983,300employed
  • 120,200annual openings
  • +7.3%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Your week probably doesn’t match the average

This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.

Personalize my result — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

FAQ — Light Truck Drivers

What does a score of 52 mean for a Light Truck Drivers?
It means that, weighted across the 13 tasks we analyzed for this role, the task mix sits at 52 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?
The highest-exposure tasks are: Maintain records, such as vehicle logs, records of cargo, or billing statements, in accordance with regulations. Exposure is scored per task from structured data, not generated by a language model.
Which parts of this job are most durable?
The current data release does not distinguish durable tasks for this role.
Is this score personalized to me?
No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 13 of 13 tasks carry source-level provenance · methodology