折扣可以是一种有效的生存策略，是切入市场、吸引初始用户的重要抓手，但它绝对不能成为企业的全部。 作者：王宪裕 编辑：鹤翔 出品：零售商业财经 ID：Retail-Finance 对正处于折扣浪潮中的大陆零售市场而言，全联的经验并不是一个可以直接复制的答案，而更像是一面镜子：它提醒我们，折扣不是终点，而是一条需要 被长期经营的路。 01 全联的折扣基因 若要理解全联今日的样貌，不能只从它现在"像不像一家现代化超市"来看，而必须回到它的起点"福利中心"。这段历史，往往被简化成背景说明，却恰恰 是全联策略演进中最关键的一块拼图。 近两年，大陆零售市场最显著的变化，莫过于"折扣"从边缘选项稳步走向舞台中央。从硬折扣超市、社区折扣店到主打极致性价比的新型渠道，各类折扣 业态均在加速扩张。价格，再度成为消费者做出选择时最直接、也最有力的语言。 然而，当折扣逐渐成为一种"主流策略"，新的行业命题也随之而来：折扣业态能否长期存在？又该如何避免陷入只剩价格、却缺乏韧性的竞争循环？ 在此背景下，回望中国台湾的零售市场，全联的案例极具启发性。 如今的全联已是台湾最具代表性的超市品牌，但回溯其发展起点，却并不光鲜。全联的前身是"福利 ...

Group 1 - The core concept of "AI Agent" is gaining significant attention from major tech companies globally, including Microsoft, Google, Amazon, OpenAI, Alibaba, Tencent, ByteDance, and Baidu, as they view it as a key business direction [1][2] - Market research firms like Forrester and Gartner predict that AI Agents will be among the critical emerging technologies by 2025, with Gartner ranking it as the top technology trend [1] - According to Gartner, only about 1% of enterprise software will have AI Agent capabilities by 2024, but this is expected to rise to 33% by 2028, with AI expected to automate 15% of daily business decisions [1] Group 2 - AI Agents are defined as systems capable of autonomous planning and task execution, differing from traditional AI systems that require continuous human interaction [4] - AI Agents can be either virtual or embodied, with the former existing in digital environments and the latter having physical forms like self-driving cars and humanoid robots [5] - The development of open standard communication protocols for AI Agents, such as MCP, ANP, and A2A, enables them to utilize external tools and collaborate with one another, enhancing their capabilities [7][9] Group 3 - The rise of AI Agents is expected to disrupt the existing platform-centric business ecosystem, leading to new business forms, organizational structures, and models [2][10] - AI Agents will change the decision-making landscape in business, as they will operate with a focus on optimal solutions, contrasting with human decision-making, which often seeks satisfactory outcomes [12] - The traditional "data is king" paradigm may shift, as AI Agents will not rely on human behavior data for decision-making, altering the competitive landscape [18] Group 4 - The emergence of AI Agents could significantly impact platform-based business models, as they can efficiently match transactions without the need for intermediaries, reducing the value of platforms [13][14] - Current business strategies that rely on capturing human attention, such as auction-based advertising and recommendation algorithms, may become less effective as AI Agents take over information retrieval tasks [16][17] - The nature of collaboration in business may evolve, with AI Agents facilitating deeper and broader cooperation without the constraints of traditional organizational structures [19][20] Group 5 - The traditional frameworks for analyzing business competition, such as Porter's Five Forces and Resource-Based View, may become less applicable in the context of AI Agents [23][26] - A shift in focus is necessary to understand the new dynamics introduced by AI Agents, emphasizing their network properties and collaborative capabilities [27] - The competitive landscape will require a reevaluation of metrics and strategies, moving from human-centric models to those that prioritize AI Agents and their interactions [27]