US efforts to restrict Chinese technology from connected vehicles are expanding beyond hardware and software sourcing, as proposed legislation introduces ownership thresholds that could affect even automakers headquartered outside China.
Surging AI server demand is reshaping supply and demand across the global memory market. With DRAM prices rising sharply over the past year, the resulting cost pressure is beginning to spill into the automotive industry.
Volkswagen, BMW, and Mercedes-Benz are reshaping their growth strategies as the global auto market enters a low-growth era, with profitability under pressure and EV demand slowing. Instead of chasing volume, the three German automakers are focusing on multi-powertrain platforms, deeper AI integration, and cross-border partnerships.
Xpeng is transforming into a physical AI supplier over the next 10 years, with robotaxi, humanoid robots, and flying cars as its three core product lines, chairman Xiaopeng He told Automotive News. The company also aims to move beyond the carmaker label and adopt a Tier 1 supplier model, working with operating partners around the world to build a business model that can be replicated globally.
China's auto market remained volatile in the second quarter of 2026, even though new energy vehicles (NEV) and emerging brands continued to gain market share. The ongoing price slashing and hypercompetitive "involution" have disrupted production schedules across the upstream supply chain, while reductions to NEV subsidies have caused consumers to adopt a wait-and-see approach, and both domestic brands and joint ventures with leading foreign automakers alike have seen drastic declines. Moreover, these broader trends have led to declining revenues for Taiwanese auto parts makers.
Taiwan's automotive parts makers are accelerating their transformation into high-tech suppliers as the global expansion of advanced semiconductor capacity and AI server infrastructure creates new demand for precision-engineered components. Companies traditionally focused on powertrain, transmission, and safety systems are leveraging decades of manufacturing expertise to secure positions in semiconductor equipment and AI liquid-cooling supply chains, creating new growth engines beyond their core automotive businesses.
The rise in global defense budgets has led to new opportunities for mainstream automakers as they seek to diversify their operations, yet the move into military and defense-related manufacturing presents another set of hurdles to overcome. These include lengthy certification cycles, highly fragmented specifications, and uncertainties surrounding policy continuity.
AI-defined vehicles (AIDVs) are built on software-defined vehicles (SDVs), and Tesla is arguably the world's most representative company at integrating and commercializing these technologies. Yet the market rarely hears Tesla emphasize or explain the AIDV concept.
