JobShiftAtlas
Source-backed profile

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, 20252035
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

Ask JobShift

Ask Dr. Morgan Reed about this evidence

Morgan is the JobShift Atlas analyst powered by AI. Answers draw from the evidence on this page and explain what it can tell you.

Source provenance

Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.