Core Insights - The competition among digital chain leaders is inherently global, driven by the rapid advancement of AI and smart technologies, which are disrupting traditional chain leaders [2][3] - Digital and intelligent transformation is becoming a new trend in global production networks, with the potential to revolutionize human production and lifestyle [2][3] - The emergence of digital chain leaders, or "smart chain leaders," is crucial as they integrate material and data through AI, enhancing production capabilities and decision-making intelligence [3][5] Group 1: Impact of AI on Traditional Chain Leaders - The acceleration of intelligent transformation is leading to the replacement of traditional chain leaders, with smart chain leaders striving to be the first to achieve large-scale AI practical application [5][6] - The historical context shows that once AI surpasses certain thresholds, it can lead to disruptive changes across industries, as seen in examples like the evolution of Go and the automation of parking systems [6][7] - The urgency for businesses to embrace AI is palpable, with a growing anxiety among entrepreneurs to understand and leverage AI technologies [7][8] Group 2: Differentiation Between Digitalization and Intelligentization - Digitalization is recognized for its potential to enhance efficiency, but its benefits are often indirect and limited, while intelligentization can dramatically improve production efficiency [8][9] - The competition among smart chain leaders is global, as breakthroughs in intelligentization can lead to significant productivity gains, posing existential threats to traditional chain leaders [8][9] Group 3: Technical Routes and Responsibilities of Smart Chain Leaders - The debate over AI's development routes—AI hegemony versus AI equality—highlights the importance of smart chain leaders in driving industry-specific AI applications [9][10] - Smart chain leaders must undertake deep digitalization to align with intelligentization needs, moving beyond superficial digital efforts to detailed process digitization [12][13] - They also need to adapt to rapid AI iterations, engaging in a continuous learning process to remain competitive [13][14] Group 4: Long-term Process of Societal Digitalization - The journey towards societal digitalization is expected to be lengthy, with significant industry reshuffling akin to the impact of the internet on various sectors [15] - The development of general artificial intelligence (AGI) and industry-specific AI applications are critical areas for future focus, requiring collaboration among industry players to establish smart chain leaders [15]

每个产业都有每个产业的运行规则，直至一个全新力量的横空出世，打破旧秩序，通过持续创新，让产业不断迸发新活力。这样的案例不断上 演，从手机、汽车领域的苹果、特斯拉，到最近风光无两AI领域的ChatGPT、DeepSeek，无一例外。 近期，作为目前全球最受欢迎的时尚品牌之一——SHEIN，也"悄然"间拿下两个成绩，一个是在权威数据平台Semrush最新一期的全球时尚服装 网站访问排行榜中，SHEIN超越了ZARA、H&M和优衣库等老牌时装品牌，以绝对优势位列第一；随后，在市场咨询机构PYMNTS发布的一份 最佳消费者个性化体验购物APP排行榜中，SHEIN又超越了耐克、亚马逊、沃尔玛等顶级购物巨头，成为了最受消费者好评的购物应用。 至此，SHEIN核心的自主品牌和平台两块业务都在不同领域实现了全球登顶，抛开被外界熟知的"小单快反"模式，SHEIN能够跑出来的核心优势 从何而来？为什么我们说所有行业升级都需要有一个SHEIN这样的品牌？ 一个"链主"品牌的稀缺性 比如在电池领域的宁德时代，就是这样的"链主"企业。宁德时代不仅是目前全球最大的动力电池和储能电池企业，也聚集了电池上下游一大批 供应商企业，其每年一度的 ...