AI’s Impact on Trucking: A 2025 Retrospective
Whether the world was ready or not, artificial intelligence (AI) came into its own in 2025, impacting both personal and business levels. During the year, AI soared to heights not expected at the close of 2024—and it opened a lot of eyes as to what the powerful technology holds for the future. The impact of AI was felt in the trucking industry as much as any other.
The Year AI Got Real for Trucking
Last December, the Truckload Carriers Association (TCA) presented “The Year AI Got Real for Trucking,” a live fireside chat featuring Mark Hill, CEO of PCS Software, and Jason Douglass, the company’s vice president of community, and engagement. Hill noted a significant increase in AI investment, with over $100 billion spent in 2025 compared to over $15 billion in 2024, resulting in a rate of change tens of times faster than the previous year.
Why Trucking Leaned into AI in 2025
The trucking industry has incorporated many AI elements into day-to-day operations, with many reporting positive results and return on investment. Douglass explained that the challenging conditions within the trucking industry drove this adoption. “Trucking’s hard right now. (Trucking industry stakeholders) are looking for every tool that can give them an edge, or savings, or efficiencies,” he said.
10 Ways AI Accelerated Innovation in Trucking During 2025
Hill outlined ten key areas where AI gained momentum and accelerated innovation in trucking during 2025:
1. AI-Powered Messaging
AI-enhanced messaging options, including email and text, improved communication capabilities. The technology proved adaptable to the industry’s specific needs, rather than being a one-size-fits-all solution.
2. Automated Document Processing
Trucking relies heavily on data and forms. In 2025, many of these were digitized and enhanced with AI, increasing productivity. Scanning and visualizing data in various formats allowed for greater efficiency, and AI’s ability to interpret data in different ways helped place it in context.
3. Maintenance Health
AI tools moved beyond basic maintenance warning lights, enabling personnel to predict when maintenance would be required and proactively address it. This resulted in fewer breakdowns and reduced downtime, recognizing that “A truck that sits is losing money.”
4. AI Safety
AI enhanced safety for drivers and other road users through early risk detection and improved video analysis of accidents and near-accidents. AI now provides a 360-degree view of the vehicle and its surroundings, identifying unsafe trends and providing real-time information to the driver.
5. Natural Language Processing
Static reports are becoming obsolete. AI delivers on-demand data in a format people understand, generating reports that provide insights from the considerable picture to the bottom line—and in language commonly used within the industry. AI can be trained to communicate in plain English, expanding its value across the business.
6. Intelligent Routing & Trip Optimization
Dispatchers now have access to more data than ever before, thanks to AI, including highway conditions, closures, driver preferences, and fuel availability. This allows for more informed routing decisions that consider real-world cost savings and estimated times of arrival.
7. Empty Mile Reduction
AI helps reduce unprofitable “empty” miles. For example, if a truck is expected to run empty from a drop-off in Houston to a pickup in El Paso, Texas, AI can help find loads to fill that space by communicating across brokerages, improving overall efficiency.
8. Voice Automation
A significant investment of $125 billion in voice automation led to major strides in 2025. AI’s improved understanding of spoken and written language allows voice agents to easily understand requests and route calls and work orders to the correct personnel, reducing costly delays.
9. Increased Dispatcher Involvement in Load-Driver Matching
AI helps dispatchers understand driver operational mechanics and preferences. By automating routine decisions (approximately 80% of cases), AI allows human dispatchers to focus on the remaining 20% of exceptions, streamlining the process for both the company and its drivers.
10. Connected AI Ecosystems
AI is no longer limited to individual carriers. Systems are now coming online that communicate across carriers, taking an industry-wide approach to streamlining operations and eliminating redundant information.
Looking Ahead
As the industry moves forward with AI, it’s important to remember that AI is only as good as the data it receives. Carriers should ensure they are working with the best possible information before making decisions based on AI. There also remains a concern about over-automation and the potential for job displacement, which change management strategies must address.
“Automated process is control—not loss of control. We are only at the beginning,” Hill noted.