ACT Expo 2026 made one thing unmistakable: the commercial vehicle industry has moved past asking whether AI matters. Now the entire ecosystem is figuring out how to deploy AI at scale.
Electrification and hydrogen grabbed headlines, but the real undercurrent of this year’s show was operational AI embedded in diagnostics, edge compute, autonomous platforms, and fleet orchestration software. Sonatus participated in the AI Fleet Roundtable, where our CMO, Dr. John Heinlein, joined industry leaders to unpack what deployment actually looks like in practice.
AI is earning its keep
Fleets aren’t running AI experiments anymore — they’re measuring outcomes. Predictive maintenance led the conversation. Cummins’ Brad Sutton reported that AI-assisted diagnostics saved nearly 200,000 labor hours over 18 months by routing technicians directly to root causes. Penske’s Samantha Thompson put it plainly: “All fault codes are not created equal.” Contextual intelligence, not raw data volume, is what moves the needle. The consistent message from panelists: AI is a co-pilot, not a replacement.
Edge computing is the new battleground
Sending everything to the cloud is not an option. Running lightweight AI models directly on vehicle compute platforms is in — prioritizing and filtering data locally before it ever leaves the vehicle. As Dr. Heinlein noted, the winning approach is “taking lighter models and tuning them for the compute you have rather than the compute you wish you had.”
Autonomous trucking grows up
Purpose-built autonomous trucks looked less like concept demonstrations this year and more like production programs. Several OEM autonomous platforms emphasized sensor integration, redundancy, and scalable deployment, demonstrating operational readiness rather than an R&D showcase.
Fleet software is becoming an operations platform
Driver coaching workflows and connected fleet services both pointed to the same shift: fleet software is no longer a visibility tool, but rather a decision-making engine. Continuously connected. Actionable. AI-assisted.
Everything is becoming software-addressable
Software-defined thinking has spread well beyond the vehicle’s central compute stack. ADAS, real-time tire inflation systems, and trailer connectors were just a few examples that reflect how every subsystem is now a data source, and every data source is a lever for operational improvement.
What Sonatus is building and proving
The themes at ACT Expo didn’t just validate our direction; they also reinforced it. They mapped almost exactly to what we’ve been demonstrating with OEM and fleet partners.
- Smart diagnostics that actually work in the field. Sonatus AI Technician provided more than just fault code alerts; it delivered contextual AI that guides technicians to the right fix, faster.
- Real-time, intelligent data collection, driven by Sonatus Collector AI, lets OEM and fleet teams use generative AI to create and deploy dynamic data collection policies.
- Sonatus Collector AI and Sonatus AI Technician are combining to accelerate vehicle development. Our collaboration with Nissan Technical Centre Europe (NTCE) demonstrated how AI can compress test and validation cycles.
- Edge AI at scale, with real partners. Sonatus Collector AI, paired with Sonatus AI Director, gives OEMs an automotive-specific MLOps toolchain for deploying and managing in-vehicle ML models.
The bottom line
The winners in commercial vehicle operations won’t just be the ones collecting the most data. They’ll be the ones who can contextualize, orchestrate, and act on it — across the full vehicle lifecycle, in real time. ACT Expo 2026 validated what we’re building at Sonatus. The demand for edge intelligence, adaptive software platforms, and operationally focused AI is only accelerating.