AI不是终点，而是重新定义商业本质的起点。 作者：谢祖墀 封图：图虫创意 人工智能（AI）的快速崛起正在重塑全球商业格局，成为任何一家企业都无法回避的战略议题。 从制造、零售、医疗到金融，AI引发的不仅是技术层面的更新换代，更是对传统经营范式、组织 架构乃至管理哲学的系统性挑战。 在这场深刻且广泛的变革中，企业再无"等待观望"的空间，唯有主动拥抱人工智能，才能在下一轮 产业竞争中占据先机，实现从"被动适应"到"引领变革"的战略跃升。 在AI实践以及相关深度思考方面，中国企业已展现出一些先发优势。无论是在智能制造、数字营 销还是智能客服等领域，中国企业已在多个应用场景中实现规模化探索与部署。 这种领先并非偶然，而是根植于中国复杂多变的市场环境、高度数字化的用户行为，以及企业对新 技术保持高度敏感与快速反应的商业基因。然而，领先实践的另一面，也意味着企业必须率先面对 各种深层次挑战。 随着AI逐渐从边缘走向业务核心，企业愈加明显地遭遇一系列非技术性的结构性问题。这些问题 不仅关乎组织能力的重构、管理边界的再定义，更涉及企业认知体系的系统升级与演化。这类挑战 已无法通过局部优化或战术层面的应对来解决，企业亟需站在战 ...

谢祖墀／文 人工智能（AI）的快速崛起正在重塑全球商业格局，成为任何一家企业都无法回避的战略议题。从制造、零售、医疗到金融，AI引发的不仅是技术层面的 更新换代，更是对传统经营范式、组织架构乃至管理哲学的系统性挑战。 在这场深刻且广泛的变革中，企业再无"等待观望"的空间，唯有主动拥抱人工智能，才能在下一轮产业竞争中占据先机，实现从"被动适应"到"引领变革"的 战略跃升。 在AI实践以及相关深度思考方面，中国企业已展现出一些先发优势。无论是在智能制造、数字营销还是智能客服等领域，中国企业已在多个应用场景中实 现规模化探索与部署。 这种领先并非偶然，而是根植于中国复杂多变的市场环境、高度数字化的用户行为，以及企业对新技术保持高度敏感与快速反应的商业基因。然而，领先实 践的另一面，也意味着企业必须率先面对各种深层次挑战。 随着AI逐渐从边缘走向业务核心，企业愈加明显地遭遇一系列非技术性的结构性问题。这些问题不仅关乎组织能力的重构、管理边界的再定义，更涉及企 业认知体系的系统升级与演化。这类挑战已无法通过局部优化或战术层面的应对来解决，企业亟需站在战略高度，以系统性思维和长周期视角加以回应。 建立AI时代的认知基础 ...

Core Insights - The emergence of DeepSeek, a domestic open-source AI model, has sparked discussions due to its free advantages, yet many still prefer to pay for ChatGPT, raising questions about user preferences and the quality of AI outputs [1][60]. - The output quality of AI tools is significantly influenced by user interaction, with 70% of the output quality depending on how users design their prompts [4][25]. Technical Differences - DeepSeek utilizes a mixed expert model with a training cost of $5.5 million, making it a cost-effective alternative compared to ChatGPT, which has training costs in the hundreds of millions [2]. - In the Chatbot Arena test, DeepSeek ranked third, demonstrating competitive performance, particularly excelling in mathematical reasoning with a 97.3% accuracy rate in the MATH-500 test [2]. Performance in Specific Scenarios - DeepSeek has shown superior performance in detailed analyses and creative writing tasks, providing comprehensive insights and deep thinking capabilities [3][17]. - The model's reasoning process is more transparent but requires structured prompts for optimal use, indicating that user guidance is crucial for maximizing its potential [7][12]. Cost and Efficiency - DeepSeek's pricing is 30% lower than ChatGPT, with a processing efficiency that is 20% higher and energy consumption reduced by 25% [8][9]. - For enterprises, private deployment of DeepSeek can be cost-effective in the long run, with a one-time server investment of around $200,000, avoiding ongoing API fees [9][10]. Deployment Flexibility - DeepSeek offers flexibility in deployment, allowing individual developers to run the 7B model on standard hardware, while enterprise setups can support high concurrency [11][10]. - The model's ability to run on lightweight devices significantly lowers the barrier for AI application [11]. Advanced Prompting Techniques - Mastery of advanced prompting techniques, such as "prompt chaining" and "reverse thinking," can significantly enhance the effectiveness of DeepSeek [13][14]. - The model's performance can be optimized by using multi-role prompts, allowing it to balance professionalism and readability [15][16]. Language Processing Capabilities - DeepSeek demonstrates a 92.7% accuracy rate in Chinese semantic understanding, surpassing ChatGPT's 89.3%, and supports classical literature analysis and dialect recognition [17]. Industry Applications - In finance, DeepSeek has improved investment decision efficiency by 40% for a securities company [18]. - In the medical field, it has achieved an 85% accuracy rate in disease diagnosis, nearing the level of professional doctors [19]. - For programming assistance, DeepSeek's error rate is 23% lower than GPT-4.5, with a 40% faster response time [20]. Complementary Nature of AI Tools - DeepSeek and ChatGPT are not mutually exclusive but serve as complementary tools, each suited for different tasks based on user needs [21][22]. - DeepSeek is preferable for deep reasoning, specialized knowledge, and data privacy, while ChatGPT excels in multi-modal interaction and creative content generation [24][22]. Importance of Prompting Skills - The ability to design effective prompts is becoming a core competency in the AI era, influencing the quality of AI outputs [54][55]. - The book "DeepSeek Application Advanced Tutorial" aims to enhance users' prompting skills and unlock the model's full potential [61].