Quick Takeaways
- AI-driven software is emerging as the core competitive layer shaping China’s future vehicle platforms and mobility ecosystem.
- The conference underscored a clear industry shift from hardware-centric vehicles to software-defined, data-driven automotive architectures.
On December 15 and 16, the China Auto Software Conference brought together industry leaders, policymakers, and technology experts in Jiading, Shanghai, to examine how automotive software is reshaping the future of mobility in the AI era. Organized by the China Association of Automobile Manufacturers alongside Shanghai International Automobile City Group, the event highlighted software’s expanding role across vehicle intelligence, data, and ecosystems.
Built around the theme of building a software-led ecosystem powered by artificial intelligence, the conference featured a carefully structured agenda combining strategic dialogue with technical depth.
China Auto Software Conference Focuses on AI and Automotive Software
Discussions at the main forum centered on how AI is accelerating innovation in automotive software, particularly in areas such as system architecture, standardization, and the integration of software with vehicle-generated data. Speakers emphasized that software and data are no longer support functions but primary drivers of competitiveness in the modern automotive industry.
The conference also explored how the industry is transitioning from hardware-centric development to software-defined vehicles. This shift places greater importance on scalable software platforms, continuous updates, and cross-domain integration, all of which are increasingly influenced by artificial intelligence capabilities.
AI Driving Intelligent Vehicle and Software Ecosystem Transformation
One thematic forum examined how AI technologies are enabling intelligent vehicle functions, from perception and decision-making to personalized user experiences. Experts discussed how software intelligence is becoming central to differentiating vehicles in an increasingly crowded market, particularly as AI models mature and computing power improves.
Another forum focused on the evolution of automotive operating systems, highlighting trends toward modular design, open architectures, and compatibility across vehicle platforms. These developments are seen as critical to supporting faster innovation cycles and reducing long-term development complexity.
Automotive Data Governance and Intelligent Cockpit Development
Lifecycle governance of automotive data was a major topic, reflecting growing attention to data security, compliance, and value creation. Panelists addressed how automotive software must manage data responsibly across collection, storage, processing, and application stages, especially as connected and intelligent vehicles generate increasing data volumes.
The final thematic discussions turned to intelligent terminals and smart cockpits, where software-defined interfaces are transforming in-vehicle experiences. From advanced human–machine interaction to seamless integration with digital services, intelligent cockpit software was positioned as a key touchpoint between vehicles and users.
Across all sessions, the China Auto Software Conference reinforced a clear message: as artificial intelligence advances, automotive software will remain at the center of innovation, shaping not only vehicle capabilities but also the broader mobility ecosystem
Built around the theme of building a software-led ecosystem powered by artificial intelligence, the conference featured a carefully structured agenda combining strategic dialogue with technical depth.
- The program included a closed-door executive session, a main conference forum, multiple thematic forums, and demonstration showcases that reflected real-world progress in automotive software development.
China Auto Software Conference Focuses on AI and Automotive Software
Discussions at the main forum centered on how AI is accelerating innovation in automotive software, particularly in areas such as system architecture, standardization, and the integration of software with vehicle-generated data. Speakers emphasized that software and data are no longer support functions but primary drivers of competitiveness in the modern automotive industry.
The conference also explored how the industry is transitioning from hardware-centric development to software-defined vehicles. This shift places greater importance on scalable software platforms, continuous updates, and cross-domain integration, all of which are increasingly influenced by artificial intelligence capabilities.
AI Driving Intelligent Vehicle and Software Ecosystem Transformation
One thematic forum examined how AI technologies are enabling intelligent vehicle functions, from perception and decision-making to personalized user experiences. Experts discussed how software intelligence is becoming central to differentiating vehicles in an increasingly crowded market, particularly as AI models mature and computing power improves.
Another forum focused on the evolution of automotive operating systems, highlighting trends toward modular design, open architectures, and compatibility across vehicle platforms. These developments are seen as critical to supporting faster innovation cycles and reducing long-term development complexity.
Automotive Data Governance and Intelligent Cockpit Development
Lifecycle governance of automotive data was a major topic, reflecting growing attention to data security, compliance, and value creation. Panelists addressed how automotive software must manage data responsibly across collection, storage, processing, and application stages, especially as connected and intelligent vehicles generate increasing data volumes.
The final thematic discussions turned to intelligent terminals and smart cockpits, where software-defined interfaces are transforming in-vehicle experiences. From advanced human–machine interaction to seamless integration with digital services, intelligent cockpit software was positioned as a key touchpoint between vehicles and users.
Across all sessions, the China Auto Software Conference reinforced a clear message: as artificial intelligence advances, automotive software will remain at the center of innovation, shaping not only vehicle capabilities but also the broader mobility ecosystem
Share: