Fleet Advantage, a provider of fleet financing and analytics, unveiled results from its latest industry survey at the Advanced Clean Transportation Expo, showing that while heavy-duty truck fleets are increasingly experimenting with artificial intelligence, few have fully integrated the technology or place strong confidence in AI-driven outcomes.
The survey, conducted in March 2025, focused on Class 8 truck fleets and their use of AI across operations. A majority of respondents (61.9%) reported being in the “partial adoption” phase, with another 38.1% still in “limited experimentation.” No respondents reported full integration of AI.
Only 23.8% of fleet professionals said they are “slightly” confident in AI-generated data for procurement decisions. Meanwhile, 57.1% said they use AI for data processing without autonomous decision-making capabilities, and 24% reported not using AI at all.
Key applications of AI include predictive analytics (57.1%), machine learning (28.6%), route optimization (42.9%), and maintenance scheduling (33.3%). Most fleets use a hybrid AI model blending open-source and proprietary systems.
Challenges to broader adoption include data integration issues (38.1%), inaccurate data (23.9%), limited tech infrastructure (28.6%), and budget constraints (19.1%).
“AI is no longer a concept these organizations are curious about—it is now a strategic data technology resource,” said Hadley Benton, executive vice president of business development at Fleet Advantage. “The survey shows strong interest, but also a need for guidance in areas like procurement, fuel strategy, and fleet modernization.”
Fleet Advantage, which manages over 30,000 Class 8 trucks with $3 billion in assets, says companies are particularly interested in future AI capabilities for predictive maintenance and modernization planning.
