Evolving

Last Update: 2/18/2026

Your role’s AI Resilience Score is

68.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Heavy and Tractor-Trailer Truck Drivers

They transport goods over long distances by driving large trucks, ensuring deliveries are made safely and on time.

This role is evolving

The career of Heavy and Tractor-Trailer Truck Drivers is labeled as "Evolving" because AI technologies are gradually being integrated into certain tasks, like automated coupling and GPS navigation, which make the job safer and more efficient. However, many essential duties still require a human touch, such as inspecting and securing cargo, performing simple maintenance, and solving problems on the road.

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Learn more about how you can thrive in this position

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Chat with Coach
Latest news
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Analysis
Chat
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This role is evolving

The career of Heavy and Tractor-Trailer Truck Drivers is labeled as "Evolving" because AI technologies are gradually being integrated into certain tasks, like automated coupling and GPS navigation, which make the job safer and more efficient. However, many essential duties still require a human touch, such as inspecting and securing cargo, performing simple maintenance, and solving problems on the road.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

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Stable iconStable

78.1%

78.1%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

54.0%

54.0%

Anthropic's Economic Index

Stable iconStable

99%

99%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

18.9%

18.9%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

4.0%

Growth Percentile:

62.9%

Annual Openings:

237,600

Annual Openings Pct:

95.2%

Analysis of Current AI Resilience

Heavy and Tractor-Trailer Truck Drivers

Updated Quarterly • Last Update: 2/18/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Truck driving today mixes high-tech tools with old-fashioned labor. For example, companies have built AI-guided robots that can back a yard tractor under a trailer and hook up its brake lines automatically [1] [2]. This kind of system uses cameras and a robot arm to find the trailer’s air brake connectors and link them, cutting out a once-risky manual job [1] [2].

On the other hand, most drivers still inspect cargo and secure it by hand. They eyeball loads, tie down straps, or use blocks and covers themselves. (Some warehouses use robotic palletizers and wrappers to stabilize cargo [3], but on the road these tasks are done by people.) Map reading is largely automated: nearly all drivers now use GPS navigation instead of paper maps. In fact, research projects even “use large streams of GPS data” from trucks to model and improve routing [4].

Simple maintenance tasks are also only partly automated. Modern trucks have sensors and alerts for engine or fluid checks, but a driver still pumps fuel or adds oil manually and reports any defects [5]. In short, current AI and robotics help with specific steps (like automated coupling and navigation [1] [2]), but key duties – tying cargo, tweaking brakes, cleaning trailers – remain hands-on for now [5] [3].

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AI Adoption

AI in the real world

How fast trucking goes high-tech depends on costs, demand, and trust. Right now, self-driving truck systems and robotic helpers exist in test fleets, but they’re expensive and new. For example, a typical driver earns about $27 an hour [5], so a carrier needs big savings from AI to replace that worker.

On the plus side, fleets are eager for safety wins – almost 30% of truck injuries happen when drivers hook up trailers and fall [1], so automating that task has clear benefits. There are also lots of job openings (BLS projects ~240,000 trucker openings per year, mostly to replace retiring drivers [5]), which means companies still need people. Finally, strict safety rules and public acceptance slow down driverless trucks: regulators want proof that AI is very safe before replacing a human.

Overall, experts expect gradual change. Young drivers can feel hopeful: many human skills (problem-solving on the road, customer communication, hands-on fixes) are still in demand. AI will likely be a helper (planning routes, monitoring systems) rather than taking over everything [5] [1], so learning to use these tools safely will be important – but human drivers remain a key part of the job for years to come.

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More Career Info

Career: Heavy and Tractor-Trailer Truck Drivers

Employment & Wage Data

Median Wage

$57,440

Jobs (2024)

2,235,100

Growth (2024-34)

+4.0%

Annual Openings

237,600

Education

Postsecondary nondegree award

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

70% ResilienceSupplemental

Operate trucks equipped with snowplows or sander attachments to maintain roads in winter weather.

2

65% ResilienceCore Task

Remove debris from loaded trailers.

3

65% ResilienceSupplemental

Perform emergency roadside repairs, such as changing tires or installing light bulbs, tire chains, or spark plugs.

4

60% ResilienceCore Task

Follow appropriate safety procedures for transporting dangerous goods.

5

60% ResilienceCore Task

Secure cargo for transport, using ropes, blocks, chain, binders, or covers.

6

60% ResilienceCore Task

Perform basic vehicle maintenance tasks, such as adding oil, fuel, or radiator fluid or performing minor repairs.

7

60% ResilienceSupplemental

Inventory and inspect goods to be moved to determine quantities and conditions.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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