Commercial driving plays a vital role in the U.S. economy. In 2024, commercial trucks moved nearly 75% of the nation’s freight by weight, according to the American Trucking Associations. When an industry operates at that scale, even small improvements in safety and efficiency can have a meaningful impact.
Technological innovations such as diesel engines, air brakes, and GPS have shaped the trucking industry in the past, and now artificial intelligence (AI) is poised to do the same. The applications for AI in trucking are increasing, and now include everything from driver-assistance features to route planning and maintenance tools, as AI is becoming an increasingly important part of how companies improve their operations and keep their drivers safe on the road.
Commercial driving is a profession — not a job. And like any profession, it’s evolving alongside the tools and technologies that shape how work gets done. As AI in trucking continues to make major strides — from smarter safety systems to real-time route optimization — drivers who understand how these technologies fit into their day-to-day responsibilities will be better prepared for where the industry is headed.
Examples of AI in Trucking
AI in the commercial driving industry is impacting and improving tools that assist local drivers, regional drivers, and especially over-the-road drivers as well as systems that assist with dispatch and maintenance tasks. The following are some common examples of how AI is currently being used in trucking.
Advanced driver-assistance systems (ADASs): Modern ADASs rely heavily on AI to power features such as automatic emergency braking, lane departure warning, and blind spot detection. These tools use sensors and cameras to detect hazards and can either warn drivers or respond in certain situations.
Route optimization: AI-enabled route-planning tools can be used to analyze many of the variables that may impact a driver’s travel, such as the traffic or weather, and recommend more efficient routes. Unlike traditional route planning, these systems can also adjust in real time as conditions change.
Predictive maintenance systems: AI can review sensor and vehicle-performance data to identify patterns that may signal mechanical issues. Instead of waiting for a problem to arise or a truck to break down, these systems are designed to flag concerns early.
Driver fatigue and behavior monitoring: Some AI systems use cameras and other analytical tools to detect signs of drowsiness or unsafe driving habits in drivers, such as speeding or hard braking. They can then alert the drivers in real time. They may also provide the data to fleet managers, who can provide coaching to at-risk drivers.
Benefits of AI in Trucking
AI technologies are already streamlining operations for commercial drivers. Some examples include the following.
Improved Safety
Enhanced safety is one of the clearest benefits of using AI in trucking. Many large-truck crashes are tied to driver-related factors such as fatigue or distraction. Tools such as ADAS and systems that monitor drivers for signs of exhaustion can help by adding another layer of awareness and support on the road.
According to the National Safety Council, ADAS features have contributed to a roughly 41% reduction in rear-end collisions involving large trucks, while automatic emergency braking has led to a 27% reduction in accidents involving pedestrians.
Better Route Efficiency
AI tools can also help make route planning more responsive to current circumstances. Certain AI-driven tools can account for traffic, weather, and delivery deadlines in real time when planning routes, enabling trucking companies to minimize delays and improve their efficiency in how freight moves from one stop to the next. Smarter routing can also reduce dwell time and cut down on communication delays between drivers and dispatchers.
More Efficient Maintenance
AI-based systems can be used to power more proactive maintenance. Predictive maintenance tools can track metrics on the condition of trucks such as their engine wear or brake performance to identify warning signs before a problem turns into a major repair or a roadside breakdown. That can make it easier to schedule service in advance and keep trucks in better operating condition.
Lower Operating Costs
Smarter planning can also help reduce costs. More efficient routes can help reduce fuel use, while proactive maintenance can help avoid expensive downtime and costly accidents. For carriers, these improvements can lead to greater profitability over time.
AI Skills for Commercial Drivers
Drivers do not need to become programmers or coding experts to realize the benefits of AI. But they do need to be comfortable working with the technology and understand what it is designed to do as well as what its limitations are.
Commercial drivers who are familiar with these tools can feel more confident using them. Developing the following competencies can allow well-trained drivers to become safer and more effective.
Understanding how driver-assist systems work: Many newer trucks include systems that can detect hazards or warn drivers about things such as lane departures and blind spots. To use these tools effectively, drivers need to understand what they do, when they activate, and what their limits are. They are meant to assist drivers, not replace their attention behind the wheel.
Interpreting alerts correctly: AI-based systems often work by giving drivers information in real time, whether that is a warning about fatigue or a notification regarding inclement weather. Drivers need to recognize what these alerts mean so they can respond appropriately in the moment.
Using good judgment alongside technology: Even with more advanced tools in the cab, safe driving still depends on drivers’ focus, awareness, and decision-making. AI can provide useful insights, but human drivers still need to interpret that information and make sound choices on the road.
Prepare for a Changing Trucking Industry
Technology may be transforming trucking, but it’s not replacing the driver’s seat. Well-trained, skilled drivers remain at the center of it all. As AI becomes more common in the truck and on the road, drivers need to know how to use these tools effectively — without losing the judgment, awareness, and decision-making that keeps them (and everyone else) safe.
The Commercial Truck Driver Training program offered at Fortis Institute in Scranton, Pennsylvania is designed to help students develop the technical expertise, driving skills, and confidence that employers value. The 24-week program prepares students for much more than just taking the licensing exam; they are prepared for a professional commercial driving career.
Learn how Fortis can help you launch your career as a commercial truck driver today.
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