---
title: "Will AI Replace Light Truck Drivers? (2026)"
description: "BLS rates light truck drivers' exposure to AI as moderate. What that means, which parts of the work AI touches, and the 2025–2035 outlook (+6.3%…"
canonical: "https://nuecareer.com/careers/will-ai-replace-light-truck-drivers"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace Light Truck Drivers? (2026)

**Short answer:** Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow faster than average.

The Bureau of Labor Statistics places light truck drivers in its moderate AI exposure category, below the middle of the pack: some of the work overlaps with what AI can do, much of it does not. BLS projects employment to change by +6.3% over 2025–2035, against 3.5% for all occupations, with about 107,200 openings a year.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | Moderate | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 62/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | +6.3% | BLS EP 2025–2035 |
| Openings a year | 107,200 | BLS EP 2025–2035 |
| Median annual wage | $44,860 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low | 203 |
| Moderate (this job) | 194 |
| High | 190 |
| Very high | 199 |

Exposure means AI could be or has been used to assist with or complete some of the work. BLS says it does not imply job loss, productivity gains, automation probability or wage effects. Method: https://www.bls.gov/emp/publications/ai-exposure-categories.htm

## What holds up

- Performing general physical activities: 4.4/5 (O\*NET work activity importance)
- Handling and moving objects: 4.5/5 (O\*NET work activity importance)
- Operating vehicles, mechanized devices, or equipment: 4.4/5 (O\*NET work activity importance)
- Inspecting equipment, structures, or materials: 4.4/5 (O\*NET work activity importance)

## What AI reaches first

- Documenting/recording information: 3.7/5 (O\*NET work activity importance)
- Processing information: 3.6/5 (O\*NET work activity importance)
- Repeating the same tasks: 3.4/5 (O\*NET work context)
- Getting information: 3.8/5 (O\*NET work activity importance)

## O\*NET tasks

- Obey traffic laws and follow established traffic and transportation procedures.
- Read maps and follow written or verbal geographic directions.
- Load and unload trucks, vans, or automobiles.
- Verify the contents of inventory loads against shipping papers.
- Maintain records, such as vehicle logs, records of cargo, or billing statements, in accordance with regulations.
- Report any mechanical problems encountered with vehicles.

## Related careers less exposed to AI than light truck drivers

- [Crane and Tower Operator](https://nuecareer.com/careers/crane-and-tower-operator): BLS exposure Low, median $68,080; [Will AI replace crane operators?](https://nuecareer.com/careers/will-ai-replace-crane-operators)
- [Sailor and Marine Oiler](https://nuecareer.com/careers/sailor-and-marine-oiler): BLS exposure Low, median $51,520
- [Ship Engineer](https://nuecareer.com/careers/ship-engineer): BLS exposure Low, median $109,530

## FAQ

**Will AI replace light truck drivers?**

Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow faster than average. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +6.3% over 2025–2035, against 3.5% for all occupations, with about 107,200 openings a year.

**How exposed are light truck drivers to AI?**

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Light Truck Drivers are in the moderate category, alongside 193 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.

**What parts of a light truck driver's job can AI do?**

In O\*NET's description of the work, the parts that overlap most with what AI handles well are documenting/recording information, processing information and repeating the same tasks. The parts that hold up best are performing general physical activities, handling and moving objects and operating vehicles, mechanized devices, or equipment. These come from O\*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.

**Is being a light truck driver a safe career from AI?**

On NueCareer's AI-resilience score, built from O\*NET work activities, light truck drivers score 62 out of 100, higher than 88% of the occupations we score. The job pays a median of $44,860 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.

**What careers similar to light truck drivers are less exposed to AI?**

Crane and Tower Operator (low exposure, $68,080 median), Sailor and Marine Oiler (low exposure, $51,520 median), Ship Engineer (low exposure, $109,530 median). Each is in a lower BLS exposure category than light truck drivers, and most are listed by O\*NET as related to the work.

Full profile: https://nuecareer.com/careers/light-truck-driver.

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This bank includes information from the O\*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O\*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology