# 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. May load and unload vehicle.

- **SOC code:** 53-3033.00
- **Canonical URL:** https://singulariki.com/roles/role-53-3033-00
- **Also known as:** Delivery Driver, Driver, Package Car Driver, Truck Driver, Bulk Delivery Driver, Light Truck Driver, Package Delivery Driver, Route Driver
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Obey traffic laws and follow established traffic and transportation procedures.
- Report any mechanical problems encountered with vehicles.
- Verify the contents of inventory loads against shipping papers.
- Inspect and maintain vehicle supplies and equipment, such as gas, oil, water, tires, lights, or brakes, to ensure that vehicles are in proper working condition.
- Read maps and follow written or verbal geographic directions.
- Turn in receipts and money received from deliveries.
- Load and unload trucks, vans, or automobiles.
- Present bills and receipts and collect payments for goods delivered or loaded.
- Maintain records, such as vehicle logs, records of cargo, or billing statements, in accordance with regulations.
- 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.
- Use and maintain the tools or equipment found on commercial vehicles, such as weighing or measuring devices.
- Report delays, accidents, or other traffic and transportation situations to bases or other vehicles, using telephones or mobile two-way radios.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- English Language _(knowledge)_
- Multilimb Coordination _(ability)_
- Far Vision _(ability)_
- Spatial Orientation _(ability)_
- Transportation _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Problem Sensitivity _(ability)_
- Near Vision _(ability)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Monitoring _(essential_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Microsoft Windows _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Depth Perception _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft Windows _(hot technology)_
- Automatic routing software
- Computerized inventory tracking software
- Eko
- FreightDATA
- IBM Domino
- Inventory management systems
- Package location and tracking software
- Recordkeeping software

## AI exposure & outlook

- **AI task-overlap index:** 30th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 14th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 44th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 38th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 57th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 7.3% growth (Growing fast); 120.2k annual openings; 1,079.8k → 1,158.6k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $44,140; 994,410 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-53-3033-00_