# Heavy and Tractor-Trailer Truck Drivers

> Drive a tractor-trailer combination or a truck with a capacity of at least 26,001 pounds Gross Vehicle Weight (GVW). May be required to unload truck. Requires commercial drivers' license. Includes tow truck drivers.

- **SOC code:** 53-3032.00
- **Canonical URL:** https://singulariki.com/roles/role-53-3032-00
- **Also known as:** Driver, Line Haul Driver, Over the Road Driver (OTR Driver), Truck Driver, CDL Driver (Commercial Driver's License Driver), Log Truck Driver, Production Truck Driver, Road 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):
- Follow appropriate safety procedures for transporting dangerous goods.
- Secure cargo for transport, using ropes, blocks, chain, binders, or covers.
- Check all load-related documentation for completeness and accuracy.
- Inspect loads to ensure that cargo is secure.
- Check vehicles to ensure that mechanical, safety, and emergency equipment is in good working order.
- Obtain receipts or signatures for delivered goods and collect payment for services when required.
- Crank trailer landing gear up or down to safely secure vehicles.
- Maintain logs of working hours or of vehicle service or repair status, following applicable state and federal regulations.
- Read bills of lading to determine assignment details.
- Report vehicle defects, accidents, traffic violations, or damage to the vehicles.
- Perform basic vehicle maintenance tasks, such as adding oil, fuel, or radiator fluid, performing minor repairs, or washing trucks.
- Couple or uncouple trailers by changing trailer jack positions, connecting or disconnecting air or electrical lines, or manipulating fifth-wheel locks.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Far Vision _(ability)_
- Transportation _(knowledge)_
- Spatial Orientation _(ability)_
- Control Precision _(ability)_
- Multilimb Coordination _(ability)_
- Response Orientation _(ability)_
- Rate Control _(ability)_
- Public Safety and Security _(knowledge)_
- Operations Monitoring _(transferable_skill)_
- Operation and Control _(transferable_skill)_
- Reaction Time _(ability)_
- Customer and Personal Service _(knowledge)_

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

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- SAP software _(hot technology)_
- 3M Post-it App
- ADP ezLaborManager
- ALK Technologies PC*Miler
- Computerized inventory tracking software
- ddlsoftware.com drivers daily log program DDL
- Eko

## AI exposure & outlook

- **AI task-overlap index:** 29th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 12th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 36th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 45th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 64th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 4.0% growth (About average); 237.6k annual openings; 2,235.1k → 2,324.4k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $57,440; 2,070,480 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 40% automation, 38% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Read and interpret maps to determine vehicle routes. _(0.4% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me read and interpret maps to determine vehicle routes.

## 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/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **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-53-3032-00_