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AI试水“抢购物券”,手机厂商转向:不拼参数拼应用
Di Yi Cai Jing Zi Xun·2025-10-18 15:41

Core Insights - The article discusses the evolving landscape of AI in the smartphone industry, particularly focusing on the shift from large model parameters to practical applications in China, contrasting with the U.S. approach led by companies like OpenAI and NVIDIA [2][12] - Chinese smartphone manufacturers are prioritizing practical AI applications over competing in model parameter rankings, emphasizing cost-effectiveness and usability [2][10] Group 1: AI Development Strategies - Chinese companies are moving away from the "burning money" strategy of developing large AI models, recognizing the high costs associated with such investments [2][10] - The focus is shifting towards smaller models that can be effectively integrated into specific applications, enhancing user experience and operational efficiency [2][12] Group 2: Practical Applications of AI - Companies like Honor are showcasing AI capabilities that allow smartphones to predict user actions and streamline interactions, significantly improving user experience [3][6] - AI is being integrated into various high-frequency scenarios, such as real-time flight updates and automated purchasing, demonstrating its practical utility [6][10] Group 3: Challenges in AI Implementation - The smartphone industry faces challenges related to power consumption, computational demands, and cost pressures, which have hindered significant sales growth despite AI advancements [9][10] - The need for additional investments in specialized hardware, such as NPU chips, increases costs and impacts profit margins for smartphone manufacturers [10][12] Group 4: Future Trends and Market Potential - The number of AI-supported scenarios in smartphones is rapidly increasing, with companies reporting significant growth in the capabilities of their AI systems [12] - By 2029, it is projected that 57% of smartphones will support generative AI, indicating a growing trend towards AI integration in high-end devices, with Chinese brands playing a crucial role in this shift [12][13]