After a widespread malfunction involving Baidu's Apollo Go robotaxi service in Wuhan left passengers stranded and disrupted traffic, Chinese authorities have reportedly suspended the issuance of new autonomous driving permits. It marks at least the second time regulators have halted approvals following an incident linked to Baidu.
Tesla has quietly taken a significant step deeper into artificial intelligence (AI), disclosing a US$2 billion acquisition of an unnamed AI hardware company in a single sentence buried in its latest regulatory filing.
As advances in artificial intelligence (AI) accelerate, the global auto industry is transforming any in its history. Jheng-Jian Wang, chairman of Taiwan's Automotive Research & Testing Center (ARTC), said the car of the future will no longer be merely a means of transportation, but a "mobile living space" capable of reasoning and decision-making. At the center of this shift, he said, are two technologies: the smart cockpit and end-to-end AI driving systems.
While much of the world's attention remains fixed on robotaxis navigating open roads, David Shen, chief executive of Turing Drive, argues that the true commercial breakthrough for autonomous driving may lie elsewhere, in what he calls "specialized environments," such as factories, ports, and rural regions.
The annual "360°MOBILITY Mega Shows," a major gathering for the auto parts and mobility industry, opens on the 14th, drawing heightened attention to the growing role of Taiwan's suppliers in next-generation automotive technology. As software-defined vehicles (SDVs) emerge as a central industry direction, the share of automotive semiconductors and software in vehicle development is rising rapidly, according to a DIGITIMES Research report.
Qualcomm said it was expanding its partnership with Bosch in automotive electronics, broadening a collaboration that had previously focused on in-vehicle cockpit systems to now include advanced driver-assistance systems (ADAS).
As companies like Mercedes-Benz, Volkswagen, and Waymo begin rolling out autonomous vehicles across Europe and the US, the bottleneck facing robotaxis has shifted. No longer defined primarily by technological breakthroughs, the industry is now constrained by regulatory approval and the ability to operate reliably in complex, real-world conditions.
The choice of sensing architecture and the efficiency of data iteration have emerged as decisive factors in the competitiveness of advanced driver-assistance systems (ADAS) and higher-level autonomous driving. Increasingly, they shape not only technological leadership but also brand perception and sales performance.
The competition in robotaxis is expanding beyond the US and China into Europe, where 2026 is widely seen as the first year of commercial deployment. As domestic automakers and global players enter the market in tandem, a new contest is taking shape, one defined not just by algorithms, but by operating models and the path to profitability.
The global adoption of advanced driver-assistance systems, or ADAS, and autonomous vehicles is expected to rise from 66 percent in 2025 to 94 percent by 2035. Within that growth, Level 2 systems are projected to reach a 65 percent penetration rate. But the technological path toward higher levels of autonomy is beginning to diverge.
China's auto market showed a notable shift in the first quarter of 2026, with Volkswagen, Geely, and Toyota returning to the top of the sales rankings in the first two months of the year. BYD, long the market leader, slipped to fourth place, drawing widespread attention.
