FreightWaves-Trimble Survey Measures AI Adoption Across Freight Ops
New industry survey tracks where carriers, brokers, and shippers are deploying AI agents today and what's slowing wider rollout.
FreightWaves and Trimble released survey results measuring AI agent adoption across carriers, brokers, shippers, and owner-operators. The report tracks where organizations are using AI in daily operations, what obstacles are blocking implementation, and what industry leaders expect next.
What are freight companies using AI for right now?
The survey found AI is moving past pilot programs into routine freight tasks. Organizations reported deploying AI agents to automate repetitive work and support operational decisions across the supply chain.
FreightWaves and Trimble did not release specific adoption percentages or breakdowns by company size in the public summary. The full white paper contains the underlying data on which segments are adopting fastest and which use cases are seeing the most traction.
What's slowing AI implementation in trucking?
The survey identified challenges that are holding back wider AI deployment. FreightWaves and Trimble did not specify the top barriers in the public release, but the full report details what organizations cite as roadblocks.
For fleets, AI adoption typically intersects with hardware decisions when tools require telematics integration, dashcam feeds, or sensor data from trucks. Waste Connections uses telematics hardware to cut breakdowns by feeding real-time diagnostic data into predictive maintenance systems. The quality of that hardware data determines whether AI tools can flag a failing component before it leaves a truck stranded.
What do freight leaders expect from AI next?
The survey asked what organizations anticipate in the near term. FreightWaves and Trimble positioned the results as a snapshot of industry expectations, though the public summary did not detail specific predictions or timelines.
The report is available for download from FreightWaves. It includes survey responses broken out by company type and operational role.
What this means for shop supervisors and small fleets
AI tools are entering the market faster than the infrastructure to support them. Fleets considering AI-driven dispatch, maintenance alerts, or route optimization need to verify that their existing telematics hardware can supply the data those systems require. Many older ELD units and basic GPS trackers lack the diagnostic depth or API access that newer AI platforms expect.
If your fleet runs mixed equipment vintages, check whether the AI vendor's integration works with all your units or only newer models. A tool that promises predictive maintenance but can't pull fault codes from half your trucks delivers half the value.
The FreightWaves-Trimble survey suggests adoption is spreading, but the gap between early adopters and the rest of the industry remains wide. For small fleets, the decision isn't whether AI will eventually matter, it's whether the current generation of tools justifies the hardware upgrades and data-sharing agreements they require.
