文/夏宁 由萨利姆·伊斯梅尔所著的《指数型组织2.0》旨在回答一个管理者都关心的问题：未来，公司如何实现成倍增 长？ 书中指出，指数级增长不再依赖一些单个优势的放大，而是多种优势的协同发力。作者列举了一些为人熟知的 领域的大企业的例子，比如汽车领域的特斯拉，其指数增长不仅因为电池技术的突破，更在于汽车内部的软件 系统的使用和迭代；OpenAI的诞生，除了技术和算法作为底层支撑，还有有很大的使用场景才行。 作者所说的"指数级增长"也不仅仅只是针对商业公司，也同样适用于公益事业，无论是什么类型的组织，指数 级增长解决的都是其发展中面临的"真问题"，聚焦的是企业的可持续发展。所以，这本书对于无论是想要做百 年老店的成熟企业，还是初创的科技公司，抑或是公益事业和机构，都有一定启发。 市场或许已经较为成熟或者非常成熟，而企业们如何在其中立足以及可持续发展，这就要向组织内部的变革要 答案。 该书认为，当下互联网企业偏好的是"中台战略"以及"小前台"模式，而这极大程度上解决了传统的企业反应迟 缓，以及分布式决策的弊端。这对于成熟企业打破"大企业病"，加强内部协同并重启增长有着很大的启发和现 实意义。 作者本身是享誉硅谷的创 ...

Core Insights - Technological development does not always exhibit exponential growth; after initial breakthroughs, growth tends to slow down [2][4] - As the gap in foundational models narrows, the focus of industry competition shifts from "technological leadership" to "product experience," creating opportunities for startups [2][6] - A product that fails to establish a strong data barrier or user experience moat is vulnerable to being integrated or replaced by foundational models [2][13] - AI will not change fundamental human needs but has the potential to reshape service delivery methods and service logic, leading to richer interactions and greater system extensibility [2][14] Industry Dynamics - The initial optimism surrounding technologies like ChatGPT has given way to caution as the industry faces pre-training bottlenecks, similar to past expectations in autonomous driving [4][5] - The current stage of AI development can be likened to the mobile internet's evolution, where the emergence of open-source models parallels the explosive growth of the Android platform [8][9] - Companies that enhance existing demand efficiency with new technologies are more likely to succeed than those that create demand for new technologies [9][11] - The infrastructure evolution, such as the rollout of 4G, significantly impacts the growth of applications, similar to how AI's development is currently unfolding [9][11] Competitive Landscape - Major companies are rapidly positioning themselves in key areas of the foundational model chain, which may limit opportunities for startups [10] - AI's ability to enhance business efficiency and penetrate deeply into various sectors suggests that its impact will surpass that of the mobile internet era [11][12] - The phrase "model equals application" highlights the fundamental shift in the competitive landscape, where model upgrades can quickly render certain startup projects obsolete [13][14] Service Innovation - AI's general capabilities are often insufficient for practical applications, revealing limitations that can become entry points for new innovations [14][15] - AI can fundamentally reconstruct service logic rather than merely digitizing existing processes, allowing for personalized service strategies with minimal marginal costs [15]