AI in Commercial Trucking

Summary: The future of artificial intelligence in trucking is rapidly evolving, but there are many existing tools that already leverage AI today to improve safety, increase data insights, optimize routes, and improve fleet efficiencies.

Recent surveys of carriers and fleets show that the role of artificial intelligence (AI) in trucking is at the forefront of everyone’s minds. While the most cutting-edge instances – specifically self-driving rigs – appear to still be far from full deployment, other helpful AI tools are already being used to improve efficiencies, reduce busywork, increase safety and situational awareness for drivers, and reduce errors.

Will Autonomous Vehicles Replace Truck Drivers?

Current conversations, like those taking place in the U.S. Senate Commerce, Science and Transportation Committee in June 2026, have explored various views on how Autonomous Vehicles (AV) will impact the driving labor force.

Recent AV statistics show that more than 1,000 self-driving trucks operate globally, with approximately 400 active in the United States, and only a small fraction (dozens to low hundreds) running completely driverless without safety operators in the cab.

The American Trucking Associations issued a statement suggesting that AVs will improve supply chain efficiency while giving truck drivers greater flexibility in choosing their preferred routes, helping the industry meet the growing and changing demands of the economy without replacing the truck driving profession.

Others, like the Teamsters, show more concern, pointing to the stat that truck driving is the single most common occupation for men in the U.S. without a college degree, and an influx of AVs will undoubtedly make it harder for this population to find work.

AV fleet providers themselves, like Aurora Operations, suggest that driverless trucks will help alleviate strain from the driver shortage, while improving efficiencies across fleet operations. They also predict that TVs could save up to 50 million lives over the next 50 years by reducing human error during driving.

In any case, industry organizations agree that the U.S. government should proactively create a regulatory framework as soon as possible, insisting that AV companies be held to the same standards as traditional fleets.

How Does AI Currently Help Commercial Trucking?

In less dramatic but still vital ways, artificial intelligence is already helping commercial fleets and drivers on a daily basis. Automation and faster data processing help remove busywork for human employees, reduce human error, and speed responsiveness for decision-making. This adds up to a safer work environment, more accurate routing and processing, and, ultimately, more efficient operations that drive down fleet expenses.

Examples of ways AI is currently helping improve commercial trucking include:

1. Video Telematics

• AI-powered camera solutions provide real-time guidance to drivers, allowing them to make better, faster, more informed decisions.
• Managers can access video data recorded, stored in the cloud, and quickly analyzed and processed for real-time use, helping vindicate drivers when needed with clear, concise footage without spending hours sorting through recordings.
• Algorithms can distinguish between drivers' movements, predict potential scenarios to identify risky behaviors, facilitate coaching, and prevent distracted driving.

2. Route Optimization

• Plan routes that bring trucks to the right location at the right time, including safer locations for parking and rest stops, or the best-priced fuel stops.
• Truck-safe routes that take into consideration low bridges, tight turns, or other road hazards that might otherwise have required the truck to backtrack and lose time.
• Real-time route updates based on developing hazards from weather or traffic.

3. Improved Maintenance

• Automated scheduling for preventative maintenance—based on variables such as manufacturer warranties, shop availability, and existing routes—keeps as many trucks on the road as possible without overloading staff.
• AI tools help process onboard signals more efficiently, even recommending next steps for drivers based on the severity of the issue, keeping drivers and trucks safer.
• Digital inspections streamline communication between drivers and the maintenance shop, reducing downtime and improving repair readiness.

4. Streamlined Paperwork

• From compliance tasks to BOL preparation, AI tools on the administrative side of operations reduce paperwork for staff, reduce errors, and make documentation more readily available.
• Automated tools help keep drivers in compliance during routes, improve communication on HOS status, and make required records more easily available in the event of a roadside inspection.
• Automated tools and AI-powered processing help managers make more informed decisions, share data more easily, and keep communication up-to-date.

AI as a Useful Tool for Fleets and Drivers

While the future of AI in commercial trucking is still developing in real time, fleets and drivers can take advantage of current improvements and technologies that make the job safer, more efficient, and more enjoyable. By reducing data entry errors, giving deeper and faster insights into data, helping respond to real world environmental changes, and reducing time-consuming and repetitive tasks, AI can improve the health and longevity of the industry while keeping drivers safer and happier with their jobs.

Platform Science is a global provider of telematics technologies and fleet management solutions for commercial fleets. Learn more about our offerings, including our extensive marketplace of third-party app add-ons, that help fleets improve safety, compliance, productivity, and more.

Contact us today for more information or to schedule a demo.

‍