电商的"流量时代"已经终结。这一判断并不新鲜，但它的后果正在密集显现。移动互联网的用户红利见顶，新增网民趋于饱和，获客成本逐年攀升，用户手机里的购物应用不再新增——支撑电商过去十年增长的那套逻辑，以抢流量为核心、以用户规模论胜负，正在逐渐失效。当同一条赛道不再能容纳相同的跑法，竞争的维度必然迁移；而迁移的方向，取决于各自赖以立身的能力。同一季度、同一市场，三家巨头的动作截然不同：一家加码算力，一家下沉工厂，一家收缩过冬。动作方向相异，指向的现实却完全一致——旧逻辑失效之后，答案不再唯一，战略的价值恰恰体现在敢于走出一条只属于自己的路。三家财报之所以值得并置对读，正在于它们是同一市场、同一时点上的三种反应，构成一组天然的对照。
三家的动作，在最新一期的财报中留下了清晰的痕迹。
拼多多营收 1124 亿元，同比增长 8%，利润 272 亿元，同比下滑 12%。在营收仍保持增长的背景下，利润的下滑并非被动，而是主动选择的结果：让利商家、重投供应链，将利润优先投向产业带升级与自营品牌。换言之，拼多多以短期利润，换取长期的供应链壁垒。这一取舍的背后，是对平台角色的重新定位——单纯的撮合模式，其天花板已然可见，唯有向供给端渗透，才能在下一阶段的竞争中握有主动。
阿里巴巴营收 2689 亿元，同比增长 9%，净利润 105 亿元，同比大幅回落 76%。回落的原因在于单季度资本开支达 677 亿元，同比激增 75%，资金悉数投向 GPU 与 AI 算力，AI 相关业务单季亏损超过 138 亿元。换言之，阿里以电商业务所积累的现金流，全面押注 AI。这不是一次常规的投入，而是一次战略性的下注：以今日确定性的利润，换取明日不确定性中的入场资格。
京东营收 3464 亿元，同比下滑 2.9%，为其上市以来首次单季营收负增长。下滑的缘故，在于主动砍掉低毛利的工业品转售业务；若以调整后利润衡量，则营收虽降，净利润 89 亿元，同比增长 20.3%。换言之，京东在收缩，但收缩出了利润。规模让位于质量，扩张让位于效率，这是京东为自己选择的过冬方式。
三组数字背后，是三种战略打法，各自以自身优势构筑护城河。拼多多是"往深处走"，从流量平台转变为供应链的深度参与者，其赌注在于：谁控制了供给端，谁就掌握长期的定价权——流量可以用钱买，供给能力却需要时间沉淀，越往产业链上游走，壁垒越厚，被替代的可能性越低。阿里巴巴是"往未来走"，以今日利润换取明日赛道，其赌注在于：AI 是下一个十年的核心引擎，此刻不全力投入，便再无机会——基础设施的投入有极强的先发效应，晚一步往往意味着长久的被动。京东则是"往实处走"，砍掉一切不能盈利的业务，守住现金流，其赌注在于：在新的经济周期中，活得久比跑得快更重要——当外部环境的不确定性上升，现金流本身就是一种竞争力。
三种选择并无对错之分，因为三家面对的是同一现实：以抢流量为核心的竞争逻辑已然失效。过去十年，电商的胜负取决于用户多寡与流量变现能力——淘宝天猫依托货架，拼多多依托社交裂变，京东依托自营品质，皆在"流量"这一维度上角力。彼时的增长是普适的，只要流量在涨，所有玩家都能水涨船高，彼此尚无分野的必要。而当流量见顶、获客成本高企、用户手机中不再容纳新的购物应用，同一条增长曲线便不再共享：沿用旧打法，只能陷入对存量用户的反复争夺，投入产出比不断下滑。竞争的维度必然迁移，问题只是迁往何处。
行业旧逻辑失效之际，追问"别人怎么做"并无意义，真正需要回答的是"我的核心能力是什么"。核心能力决定新维度的方向：拼多多的能力在流量与规模，故转向供应链，将流量能力转化为对供给端的控制力；阿里的能力在技术与生态，故转向 AI，将技术基因转化为下一时代的入场券；京东的能力在物流与供应链，故转向效率，将运营能力转化为利润与现金流。三者的选择看似背道而驰，实则遵循同一条原则——不在对手擅长的维度上比拼，而是把自身的既有优势转化为难以复制的壁垒。
答案相异而各有其理，这正是战略本应有的样貌。平庸的企业跟风内卷，在拥挤的维度上彼此消耗，最终谁也走不出同质化的泥潭；伟大的企业则敢于在十字路口，审视自己的能力边界，选择那条只属于自己的路。
E-commerce’s “traffic era” has drawn to an end. This assertion is hardly new, yet its consequences are unfolding rapidly. Mobile internet user dividends have peaked, new internet users are nearing saturation, customer acquisition costs climb year after year, and users no longer add new shopping apps to their phones. The growth logic that powered e-commerce over the past decade — centered on grabbing traffic and measuring success by user scale — is gradually losing efficacy. When the same track can no longer sustain identical operating models, competition must shift to new dimensions. The direction of this shift hinges on each firm’s foundational strengths. Within the same quarter and market, the three giants took markedly different actions: one ramps up computing power investment, another dives deeper into factory supply chains, and the third tightens operations to weather the downturn. Divergent as their moves appear, they point to the same reality: once old logic fails, there is no single answer. The value of strategy lies precisely in daring to forge a path uniquely its own. The three earnings reports merit side-by-side reading because they represent three responses to the same market at the same moment, forming a natural comparative case study.
Their strategic moves leave clear traces in their latest financial statements.
Pinduoduo posted revenue of 112.4 billion yuan, rising 8% year-on-year, with profits of 27.2 billion yuan, down 12% year-on-year. Amid revenue growth, the profit decline is not passive; it stems from a deliberate strategic choice: offering concessions to merchants and reinvesting in supply chains, prioritizing profits for industrial belt upgrading and private-label brands. Put differently, Pinduoduo trades short-term profits for long-term supply chain moats. Behind this tradeoff lies a redefinition of the platform’s role. The pure matchmaking model has hit its visible ceiling. Only by penetrating the supply side can it seize initiative in the next phase of competition.
Alibaba recorded revenue of 268.9 billion yuan, up 9% year-on-year, and net profit of 10.5 billion yuan, a sharp 76% year-on-year drop. The decline came from quarterly capital expenditure hitting 67.7 billion yuan, surging 75% year-on-year. The funds were fully deployed into GPU and AI computing infrastructure, with AI-related businesses posting quarterly losses exceeding 13.8 billion yuan. Simply put, Alibaba is betting heavily on AI with cash flow generated by its e-commerce operations. This is no ordinary investment; it is a strategic wager: trading certain profits today for a ticket to participate in tomorrow’s uncertain opportunities.
JD reported revenue of 346.4 billion yuan, down 2.9% year-on-year. It marks its first-ever quarterly revenue decline since listing. The fall resulted from the voluntary divestment of low-margin industrial product resale businesses. Measured by adjusted profit, despite lower revenue, net profit reached 8.9 billion yuan, rising 20.3% year-on-year. In short, JD is contracting, yet the contraction yields higher profits. Scale gives way to quality, expansion yields to efficiency. This is JD’s chosen approach to weather the cycle.
Behind these three sets of figures sit three distinct strategic playbooks, each building moats from its inherent strengths. Pinduoduo “goes deeper”, evolving from a traffic platform into a deep participant in supply chains. Its wager: whoever controls the supply side holds long-term pricing power. Traffic can be bought with money, but supply capacity takes time to build. The further upstream along the industrial chain, the thicker the moat and lower the risk of substitution. Alibaba “marches toward the future”, exchanging present profits for access to tomorrow’s new track. Its wager: AI will serve as the core engine for the next decade. Failure to invest fully now will close the window of opportunity. Infrastructure investment carries strong first-mover advantages; falling behind often means prolonged disadvantage. JD “grounds itself in reality”, cutting all unprofitable businesses and safeguarding cash flow. Its wager: in the new economic cycle, survival matters more than rapid growth. When external uncertainty rises, cash flow itself becomes a source of competitiveness.
None of the three choices is inherently right or wrong, for all three face the same reality: the competition logic built around traffic acquisition has ceased to work. Over the past decade, e-commerce success was measured by user volume and traffic monetization capability. Taobao & Tmall relied on shelf commerce, Pinduoduo leveraged social viral growth, and JD built on self-operated quality. All competed along the single dimension of traffic. Growth was universal back then. As traffic expanded, every player rose with the tide, and there was little need to diverge. Now that traffic plateaus, customer acquisition costs soar, and users will not install additional shopping apps, they can no longer share the same growth curve. Sticking to old tactics leads to repeated fights over existing users and deteriorating input-output ratios. Competition must shift to new dimensions; the only open question is where.
When the industry’s old logic collapses, asking “what are others doing?” serves little purpose. The critical question to answer is “what is my core capability?” Core capability defines the direction for new competitive dimensions. Pinduoduo’s strength lies in traffic and scale, so it pivots toward supply chains, converting traffic advantages into control over the supply side. Alibaba’s strength is technology and ecosystem, so it turns to AI, translating its technological DNA into an entry ticket for the next era. JD’s strength resides in logistics and supply chain execution, so it prioritizes efficiency, turning operational capability into profits and cash flow. Though their choices seem to pull in opposite directions, they follow one common principle: avoid competing on rivals’ home turf, and instead convert existing strengths into hard-to-replicate barriers.
Different answers, each with its own rationale. This is what strategy ought to look like. Mediocre companies follow trends and engage in cutthroat competition, draining resources on crowded battlefields and trapped forever in homogenization. Great companies dare, at the crossroads, to examine the boundaries of their own capabilities and take the path that belongs only to them.