The inaugural Convergent Intelligence Industry Development Conference (2025) was held in Optics Valley from September 16-17. The conference, themed "Collaborative Integration of Innovation Chain and Industry Chain to Promote Convergent Intelligence Industry Development," brought together government officials, industry experts, and enterprise representatives to explore the convergence of smart vehicles, intelligent robots, and low-altitude aircraft.

Notable attendees included Jin Bing, former Deputy Director of Policy and Regulations Department at the State Post Bureau; Qu Xiaobo, Professor at Tsinghua University's School of Vehicle and Mobility and Academician of the European Academy of Sciences; Zhao Mingguo, Researcher at Tsinghua University's Department of Automation; and representatives from major enterprises including Chery Automobile, JAC Group, SAIC Group, EHang Intelligence, AeroHT, and Horizon Robotics.

Zhang Yongwei, Chairman of China Electric Vehicle 100, highlighted that smart vehicles, intelligent robots, and low-altitude aircraft represent the "three major components" of convergent intelligence, sharing common technological origins, interconnected supply chains, and integrated applications. These sectors are expected to become China's new export engines following the previous "new three categories." The global market for these three convergent intelligence components is projected to reach nearly $240 billion by 2030, with China's market exceeding $120 billion.

Shen Yue, Standing Committee Member of Wuhan Municipal Committee and Secretary of East Lake High-tech Development Zone Party Working Committee, emphasized that Optics Valley, as Wuhan's core technology innovation zone with national influence, possesses solid foundations and comprehensive ecosystems for developing convergent intelligence industries.

**Industry Chain Forum Focuses on Technology Integration**

The September 17 plenary session featured morning and afternoon forums. The morning Convergent Intelligence Industry Chain Forum, themed "Building Efficient Collaborative Convergent Intelligence Industry Chains," focused on common electric and intelligent components across smart robots, low-altitude aircraft, and smart vehicles.

Zhang Yongwei released the report "Strengthening Core Chains of Convergent Intelligence Industry - Promoting Collaborative Development of Smart Vehicle, Intelligent Robot, and Low-altitude Flight Industry Chains" and delivered a keynote speech "From Export 'New Three Categories' to Convergent 'Three Major Components.'" He proposed four recommendations: achieving cost reduction through manufacturing scalability, expanding single-component enterprises into convergent fields, accelerating international market expansion, and improving convergent intelligence industry promotion mechanisms.

Chen Huajun, Chief Financial Officer of Yangtze River Industrial Investment Group, emphasized the forum's role as a platform for industry chain collaboration and innovation breakthroughs.

**Expert Insights on Convergent Intelligence Development**

During keynote speeches, experts shared forward-looking perspectives on convergent intelligence development:

Qu Xiaobo from Tsinghua University identified low-altitude transportation as a crucial solution to urban traffic supply-demand contradictions. Electric flying vehicles, leveraging new energy propulsion and multi-rotor redundancy design, can achieve breakthroughs in safety, mobility, and cost while significantly reducing manufacturing costs through automotive industry chain advantages.

Zhao Mingguo from Tsinghua University emphasized that humanoid robots' core capabilities extend beyond hand manipulation, requiring attention to "leg embodied intelligence" to complement language model capabilities with human-like movement abilities.

Si Luo, CTO of Banma Zhixing, described smart vehicles as core carriers of Physical AI and embodied intelligence "stress test fields," capable of demonstrating complete AI-native technological capabilities while facing challenges in multimodal fusion and millisecond-level response requirements.

Lu Peng, Vice President of Horizon Robotics, analyzed that the general robotics market remains in early stages, similar to autonomous driving 6-7 years ago, but automotive industry experience shows that core technologies can achieve scalable deployment through technological iteration and industry convergence.

**Innovation Technology Forum Explores Commercialization Pathways**

The afternoon Innovation Technology Forum, themed "Promoting Convergent Intelligence Innovation Technology Application and Industrial Development," focused on latest technology trends, industrialization progress, and future transportation systems.

Jin Bing from the State Post Bureau outlined six directions for promoting convergent intelligence industry development from a government perspective, emphasizing application-oriented research, breakthrough of key commercialization issues, cross-sector collaboration, pilot program implementation, synchronized standard development, and interdisciplinary talent cultivation.

Luo Jian from Shanghai University projected that the low-altitude economy market could reach trillion-yuan scale by 2030, with industrialization requiring widespread adoption of consumer flying vehicles. He noted strong commonalities in motor industry chains across robotics, new energy vehicles, and low-altitude economy sectors.

Liu Jiangbo, Deputy Director of JAC Group's Technology Center, described convergent intelligence as ecosystem reconstruction rather than simple technology aggregation, with JAC implementing four major initiatives to build six technological focal points including energy power, communication networking, and AI large models.

**Industry Collaboration and Future Outlook**

The conference also featured the establishment of the Convergent Intelligence Industry Innovation Center and Optics Valley Industry Partner authorization ceremonies.

Industry representatives discussed embodied intelligence commercialization standards, supply chain optimization, and technical challenges in multi-scenario applications. Key themes included the transition from "human-centered" to "robot-centered" production lines and the development of natural interaction capabilities in intelligent robots.

The successful conference established an efficient communication platform for the convergent intelligence industry chain, further activating Optics Valley's intelligent industry development vitality and supporting regional and national convergent intelligence industry advancement toward collaborative integration.

As the conference host location, Optics Valley continues strengthening innovation and entrepreneurship alongside artificial intelligence industry development, providing solid foundations for convergent intelligence industry clustering. The region has accelerated university innovation belt construction and introduced comprehensive support policies to systematically reshape its innovation and entrepreneurship ecosystem while promoting deep integration of artificial intelligence with intelligent manufacturing.