Artificial intelligence is revolutionizing mobility at every level from consumer vehicle brands and autonomous trucking to robotics, shared AI architectures, and extreme-precision demonstrations.
This week, breakthroughs from Huawei, Scania, and Xiaomi reveal how fast the landscape is evolving, highlighting the fusion of software-defined vehicles, embodied intelligence, and ultra-precise autonomous control.

Four major developments spanning smart EV brands, world-first autonomous feats, integrated AI platforms, and open-source driving intelligence show how AI is accelerating into the next stage of mobility transformation.

Huawei Launches Two New Smart-Vehicle Brands with GAC and Dongfeng

(Huawei)
Huawei, in partnership with GAC and Dongfeng, has launched two new smart vehicle brands: Qijing and Yijing.
These brands fall under Huawei’s Harmony Intelligent Mobility ecosystem and the company’s next-generation Huawei Qiankun intelligent vehicle architecture.

The first models from both brands are scheduled to debut in 2026, featuring deeply integrated AI software stacks, connected cockpit systems, and Huawei’s full suite of advanced driving and computing modules.

With China rapidly pivoting toward software-defined vehicles (SDVs), Huawei is positioning itself as a central technology provider to multiple OEMs a strategy mirroring Qualcomm’s horizontal automotive push.

Scania Demonstrates World-First Autonomous Truck Precision in Red Bull Stunt

(Scania)
Sweden’s Scania showcased an extraordinary demonstration of autonomous precision by synchronizing two self-driving trucks to create an extremely narrow, precisely timed opening for professional mountain biker Matt Jones to jump through.

A second detailed report from AutocarPro confirms the technical sophistication behind the stunt:
(Scania + Red Bull)

The sub-second choreography required ultra-accurate control of steering, braking, acceleration, and spatial coordination all powered by Scania’s advanced autonomous stack.

While visually stunning, the stunt is more than entertainment: it demonstrates how millimeter-level autonomous control can enhance industrial safety, platooning, and automated freight transport.

Xiaomi Launches MiMo-Embodied: An Open-Source AI Model for Driving & Robotics

(Xiaomi)
Xiaomi unveiled MiMo-Embodied, an open-source embodied AI model designed for both autonomous driving and robotics.

Key capabilities include:

• Unified perception

• Spatial reasoning

• Multi-task planning

• Robust cross-domain benchmarking

• A shared AI architecture for both vehicles and robots

MiMo-Embodied is unique because it merges vehicle intelligence and robotic intelligence into a single framework enabling long-term generalization across mobility platforms.

As Xiaomi pushes deeper into vehicles, humanoid robots, and smart home AI, the model strengthens its strategy of creating a tightly integrated AI ecosystem.

A Unified Vision for Intelligent Mobility

From Huawei’s new EV brands and Scania’s high-precision autonomous feats to Xiaomi’s open-source embodied AI, one message is clear:

AI is no longer just powering vehicles it is synchronizing machines, redefining intelligence, and connecting mobility with robotics in entirely new ways.

As China, Europe, and global OEMs scale their AI-led platforms, the next wave of mobility will be connected, adaptive, and deeply multimodal where vehicles, robots, and infrastructure all share a unified intelligence layer.

The biggest threat to your dealership isn’t competition it’s falling behind in tech you don’t even understand yet.

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