At the Smart Electric Vehicle Development High-Level Forum (2026) held at the China National Convention Center Phase II in Beijing from April 11th to 12th, industry leaders gathered to discuss advancing new energy vehicles through intelligent, green, integrated, and international development. She Shidong, Deputy General Manager of Intelligent Products at Great Wall Motor Company Limited, delivered a keynote address during the event.
She highlighted that smart cockpits currently face significant homogenization challenges. He noted that integrating large models into vehicles is driving the industry's evolution from human-machine interaction toward a three-party service model involving humans, intelligence, and agents. Through engineering implementation, Great Wall Motor Company Limited has achieved agent-based interaction centered on natural conversation, shifting users from "operating machines" to "expressing needs," thereby revolutionizing the smart cockpit experience.
Analyzing the current landscape, She pointed out that smart cockpit interfaces are highly homogenized, with over 95% similarity in the interactive interfaces of more than 200 vehicle models, indicating an innovation bottleneck in the industry. However, the integration of large models presents a breakthrough opportunity, gradually moving the sector from human-machine interaction to the era of three-party services involving humans, intelligence, and agents. The core of this transition is the expansion of the vehicle's role from "driver-machine interaction" to "interaction between all occupants and intelligent agents," a trend reflected in the growing popularity of six-seater models and enhanced rear-seat comfort configurations.
She acknowledged that intelligent agents are currently in a phase of mutual adaptation and understanding, with future development aimed at evolving toward "recommendations for a better life." He emphasized that the human-intelligence-agent interaction paradigm is not merely a concept but has already been implemented as practical engineering.