Core Viewpoint - The company aims to leverage digital technology to transform the physical world, focusing on AI and autonomous driving to create a new paradigm in transportation and user experience [1][6]. Group 1: AI Transformation and Strategy - The transition to an AI-driven company involves understanding industry frontiers, best practices, and internal research, with a focus on long-term investment in computing power despite short-term returns [2][17]. - The company envisions that by 2030, fully autonomous vehicles will become the largest AI terminals in the physical world, potentially surpassing the scale of the iPhone [21]. - The organization is shifting from a process-heavy approach to one that emphasizes talent density, akin to top internet companies, to effectively implement AI [12][13]. Group 2: Technological Development - The company is developing a VLA model that integrates vision and language to enhance autonomous driving capabilities, aiming to close the gap with international competitors [8][9]. - Investment in AI encompasses models, computing power, operating systems, and hardware, with an annual investment exceeding 6 billion [19][20]. - The company is focused on creating a system similar to an Agent OS, allowing professionals to generate their own specialized agents, enhancing creativity and management capabilities [15]. Group 3: Future Vision and Market Potential - The company positions itself as a robotics service provider in the physical world, offering hardware, software, and services, with a projected revenue increase of 5 to 10 times by 2030 while limiting workforce growth to 50,000 [22]. - The concept of "Silicon-based family" envisions AI evolving through five stages, ultimately becoming personal assistants that manage various aspects of life and work [23][25]. - The company aims to redefine the automotive industry by integrating AI into its core operations, potentially transforming how vehicles are perceived and utilized in society [21][24].
李想:转型AI过程中最艰难的决策是如何投资算力?