经济观察报·2025-07-28 13:36Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) showcased a shift in focus from pure technical parameters to practical applications and commercial value in AI technology [2][14] - The competition in computing power is evolving into a comprehensive system engineering challenge, addressing performance, compatibility, storage, and energy efficiency [4][10] - AI companies are increasingly integrating their models with real-world applications to unlock new data sources and enhance AI capabilities [15][16] Computing Power Infrastructure - Companies like Huawei and China Digital are pushing the limits of computing power, with Huawei's Atlas 900 A3 SuperPoD achieving a performance of 300 PFLOPS [2][4] - The financial sector is supporting AI infrastructure, with companies like Chip Xin Leasing investing 8 billion yuan in AI-related projects [4] - The demand for private deployment of large models is increasing due to data security concerns, indicating a shift in market needs [5][6] Model and Application Development - AI model developers are focusing on deep integration with industry scenarios to create real business value, moving away from mere technical showcases [14][17] - Companies like Step Leap Star are launching new models aimed at cost reduction and efficiency improvement, collaborating with multiple chip manufacturers to enhance compatibility [17][18] - The importance of data storage and management is highlighted, with companies like Dawning Storage addressing challenges in data accessibility and efficiency [8][9] AI in Creative Industries - AI-generated content (AIGC) is transforming creative processes, with companies like Digital Kingdom introducing platforms that streamline content creation [20][21] - AI is positioned as a "super assistant" for creators, enhancing productivity while allowing them to focus on core creative tasks [21] Consumer-Focused AI Products - New AI products, such as the TicNote AI recording pen, are being developed to serve individual users, encapsulating complex AI capabilities in user-friendly formats [23] - The overarching goal of AI advancements is to contribute to real GDP growth across society, industries, and nations [24]