直击达沃斯|禾赛科技达沃斯发声：谈技术出海、全球化竞争与产业未来

Core Insights - The World Economic Forum in Davos highlighted a shift in discussions around AI from theoretical possibilities to practical applications, reflecting a more pragmatic approach to international cooperation with China [1][3][15] - The changing geopolitical landscape has led to a more rational perception of China, with countries previously hesitant now showing curiosity and willingness to engage with Chinese industries [3][16] Group 1: AI and Geopolitical Context - AI discussions at the forum focused on specific applications that are likely to emerge, contrasting with last year's emphasis on potential [3][15] - Geopolitical themes remain central, with discussions on how to facilitate trade and cooperation in the absence of clear rules [3][16] Group 2: China's Competitive Advantages - China's success is attributed to validated mass production capabilities and a robust quality system, rather than merely cost advantages [5][17] - The unique industrial ecosystem in China, characterized by a solid manufacturing base and efficient supply chains, creates competitive barriers that are difficult for foreign competitors to replicate [5][17][18] Group 3: Innovation and Speed - The rapid iteration and communication within China's automotive and lidar industries allow for faster progress compared to Western counterparts [6][18] - The integration of hardware and software capabilities in China fosters stronger innovation, positioning the country favorably in the global market [6][18] Group 4: International Expansion Strategies - Chinese companies like Hesai Technology are encouraged to adopt strategies of "more communication" and "ecological collaboration" to navigate international markets [7][19] - Collaborations, such as with NVIDIA, streamline processes for Chinese firms, enhancing their ability to reach global customers efficiently [8][20][21] Group 5: Long-term Strategy and Safety Standards - Safety and reliability in lidar technology are paramount, with a focus on minimizing error rates to build competitive advantages [10][22] - Continuous investment in R&D and a commitment to quality are essential for maintaining competitiveness in the face of emerging rivals [10][22] Group 6: Future of Technology - Lidar is viewed as foundational for AI applications, with expectations that autonomous technologies will proliferate across various sectors [12][25] - The evolution of robotics is anticipated, with a shift towards versatile humanoid robots capable of performing diverse tasks across industries [12][25]