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Artificial intelligence is steadily making its way into commercial vehicles, but today’s deployments tend to be narrowly focused — designed to solve one pain point at a time. Fleets might use AI to improve maintenance planning, OEMs might apply it to accelerate validation, and suppliers may experiment with in-vehicle models.

Sonatus makes its AI Technician, Collector AI and AI Director solutions available via SDVerse to support AI-defined vehicle development and life-cycle management

As automakers move toward centralized computing platforms and over-the-air updates, collision repairers face new demands in tooling, training, and data management.

Electric vehicle (EV) design now requires a system-level approach. Decisions in one subsystem directly influence performance across the entire vehicle. Engineering work is shifting toward managing how these interactions behave under real operating conditions.

If you’ve spent any time configuring VLANs, tuning QoS policies, or troubleshooting Ethernet switching infrastructure, the architectural challenges now facing the automotive industry will feel surprisingly familiar.

Ireland leads the countries covered in new research from Indeed Hiring Lab on workplace AI use. The survey covers more than 80,000 workers across countries, including Ireland, and shows that 70% of Irish workers use AI as part of their job.

Electric vehicle (EV) development is increasingly defined by software complexity, data volume, and shorter validation timelines. As a result, artificial intelligence (AI) is being introduced across development and testing workflows to accelerate engineering cycles, improve diagnostic depth, and reduce reliance on late-stage physical validation.

CES 2026 marked a decisive inflection point for the global automotive industry. The narrative moved beyond “software-defined vehicles” (SDVs) toward AI-defined vehicles, where competitive advantage is determined by the ability to deploy, validate, monitor, update, and monetize AI safely at scale across the full vehicle lifecycle. The show evolved from Generative AI in earlier years to Physical AI, with NVIDIA’s announcement of Alpamayo 1 stealing the spotlight.

Michelin demonstrated predictive tyre health technology using a 1970 Ford Bronco retrofitted with Sonatus technology. Michelin and Sonatus will showcase predictive tyre health technology at CES 2026. The demonstration will highlight Michelin’s SmartLoad and SmartWear models deployed through Sonatus AI Director to deliver real-time, in-vehicle tyre insights.

Michelin and Sonatus will showcase predictive tire health technology at CES 2026. The demonstration will highlight Michelin’s SmartLoad and SmartWear models deployed through Sonatus AI Director to deliver real-time, in-vehicle tire insights.

Later this week, one of the coolest things about living in the Motor City area takes place: it’s the Detroit Auto Show, a celebration of the industry that helped put the city on the map in the 20th century. While Detroit has gone through its ups and downs since the French established it way back in 1701, it is the car that has made Detroit famous.

Software-defined vehicles are quickly becoming intelligent, self-improving systems powered by artificial intelligence (AI). As their capabilities expand, the central challenge is no longer building bigger models but managing the enormous volumes of data those models depend on.