At the Intelligent Electric Vehicle Development High-Level Forum (2026) held from April 11th to 12th at the China National Convention Center Phase II in Beijing, Microsoft China's Vice President and General Manager of the Automotive Business Unit, Sutan, delivered a speech. The forum's theme focused on advancing the intelligent, green, integrated, and international development of new energy vehicles.
Sutan stated that China's automotive industry is currently facing dual historic opportunities in "intelligentization" and "globalization." Addressing core challenges during global expansion, such as compliance, infrastructure, and cultural adaptation, Microsoft leverages its global cloud infrastructure and AI technological capabilities to provide Chinese automakers with comprehensive solutions. These solutions cover data compliance, intelligent driving training, and localized interaction, supporting the transition of Chinese automotive companies from exporting products to establishing ecosystems abroad.
Sutan analyzed that while the overseas expansion of Chinese automakers shows strong momentum, they still face three critical hurdles: 1. The challenge of achieving global network coverage: China represents a unified large market, whereas globally there are over 70 major sales markets and more than 140 policy regions. Automakers need to build a unified network with consistent performance and controllable latency that covers the globe to support services like connected vehicles and online operations, placing extremely high demands on infrastructure capabilities. 2. The difficulty of integrating public and private clouds: Automakers possess their own data assets and computing power requirements but also need to utilize public clouds for rapid expansion. Balancing development speed with data security by efficiently integrating corporate private networks with public clouds, while adhering to global compliance standards, has become a key challenge. 3. The need for synergy between AI training and network infrastructure: Large AI models have evolved from being "assistive tools" to integral parts of "production scenarios." Intelligent driving training and inference require substantial computing power and stable network support. Automakers require solutions that deeply integrate AI training with a global network infrastructure to meet localization adaptation needs across different regions.
Sutan concluded that the global expansion of Chinese automotive companies has entered a "2.0 era," where the core shift is moving from "product export" to "ecosystem establishment." Microsoft will utilize its global cloud infrastructure as the foundation and AI technology as the engine to help Chinese automakers overcome challenges related to compliance, infrastructure, and cultural adaptation, enabling the "high-quality experience" of Chinese intelligent vehicles to truly reach a global audience.
Comments