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.
BLS SOC 53-3032 · O*NET-SOC 53-3032.00 · BLS 2025–2035 · O*NET 31.0
Median annual wage, 2025
$58,640
Projected change, 2025–2035
3.8%
2025–2035 annual average openings
214,500
AI exposure
Moderate
Editorial analysis
The long road to autonomous trucking
Truck driving has been associated with autonomous vehicles for years, but the occupation contains more than keeping a vehicle centered in a lane. Drivers inspect equipment, secure or monitor loads, handle paperwork, interact with customers and facilities, respond to weather and road conditions, manage delays, and solve problems far from a terminal.
Automation may arrive by route before it arrives by occupation
The easiest environment to automate is not every road in America. It is a predictable route under defined conditions. That suggests a future where autonomous or highly automated trucks handle selected highway segments, dedicated freight corridors, yards, or repetitive routes before technology can handle the full diversity of trucking.
- Highway driving may be more technically automatable than loading docks, local streets, construction zones, or unusual delivery locations.
- AI can already improve routing, fuel planning, maintenance scheduling, and dispatch decisions.
- Drivers may increasingly interact with advanced driver-assistance and fleet-monitoring systems.
- Specialized hauling, complex local delivery, and routes requiring substantial customer or cargo handling may change more slowly.
For drivers, the effect is unlikely to be identical across the industry. The occupation could gradually divide between routes with high automation and driving work where human flexibility remains essential. Skills involving specialized equipment, hazardous or unusual loads, maintenance awareness, and complex delivery environments can provide additional resilience.
Labor-market picture
Two measures, different questions
These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.
Employment
- Employment, 2025
- 2,221,200 jobs
- Projected employment, 2035
- 2,305,000 jobs
- Projected change, 2025–2035
- 83,800 jobs (3.8%)
Relative AI exposure
BLS category: Moderate. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.
Relative AI exposure · Moderate
Work profile
Representative tasks
These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.
- 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.
- Crank trailer landing gear up or down to safely secure vehicles.
- Obtain receipts or signatures for delivered goods and collect payment for services when required.
- Maintain logs of working hours or of vehicle service or repair status, following applicable state and federal regulations.
Skills that matter
Skills in the source profile
Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.
Technology and tools
These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.
- Word processing software
- Time accounting software
- Route navigation software
- Inventory management software
- Data base user interface and query software
- Desktop communications software
- Spreadsheet software
- Office suite software
Preparation
- Typical entry education
- Postsecondary nondegree award
- Related experience
- None
- On-the-job training
- Short-term on-the-job training
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Morgan is the JobShift Atlas analyst powered by AI. Answers draw from the evidence on this page and explain what it can tell you.
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Source provenance
Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.