传统金融上链「阳谋」:巨头拥抱的加密,为何注定失败?

marsbitPublished on 2026-01-02Last updated on 2026-01-02

Abstract

传统金融巨头正积极拥抱区块链技术,但其“上链”方式本质上是为了维持自身权力和利润,而非真正接纳加密世界的去中心化精神。这些机构(如DTCC、Visa、大型银行)长期垄断金融基础设施,依靠反竞争的设计和监管护城河获取巨额收益。加密世界的出现带来了第二个独立系统,其核心是开放、无需许可的架构,允许任何人参与竞争,而这直接威胁到传统巨头的地位。 因此,传统金融机构更倾向于支持中心化、许可制的区块链方案,由自己控制验证权、费用和数据访问,而非拥抱去中心化、抗审查的公有链。这种选择源于其维护既得利益的内在动机,而非对技术未来的真诚信仰。作者警告,传统金融所推崇的“加密版本”很可能失败,因为真正的区块链价值在于去中心化。历史将证明,没有去中心化的链毫无意义。

撰文:Omid Malekan

编译:AididiaoJP,Foresight News

这是一个警告:随着传统金融逐渐拥抱区块链,那些最大型金融中介机构的动向,很可能恰恰预示着未来的失败。他们越是热情拥抱某种特定形态的加密世界,那种形态就越不可能真正成功。

那些巨型的交易所、清算所、银行、经纪商和支付提供商。这些家喻户晓的名字,未来一年会因其对区块链「谨慎」的拥抱而频频登上头条。

这些机构如何「上链」,主要反映的是它们维持自身权力与利润的欲望,而非揭示了加密未来的某种真理。

这并非对这些机构的批判,也非某种意识形态阴谋论。首先这是支撑所有加密世界的一个核心原则的延伸:激励决定行为。其次这承认了所有这些机构的领导者都必须面对并解决的一个根本矛盾。

它们的权力与利润,源于它们在金融基础设施「管道」中的核心地位。系统设计和监管护城河相结合,使它们在几无竞争的环境下赚取巨额利润。传统金融的架构造就了特定的「管道系统」,而它们控制着关键的管道。几十年来,它们一直在巩固这种控制。

美国证券存托与清算公司(DTCC)成立 53 年,Visa 成立 67 年,SWIFT 超过 50 年,甚至于最大的银行更是已有数百年历史。

在这些机构的现任管理者职业生涯中,从未面临过真正的生存威胁。没错,Visa 和万事达在高端信用卡领域竞争,大银行在外汇交易量上争夺排名,但它们的领导者从未担心过彻底出局,从来没有。

这些公司数万亿美元的市值、数千亿美元的收入、高管们数千万的薪酬,全部源于一个单一的事实:只有一个金融系统,而它们在其中的地位几乎稳如泰山。

这时,加密世界出现了。这是第二个,并且目前完全独立的系统。不仅如此它的核心目标正是改变金融的架构,打造一个最重要的「管道」不为任何人私有、而是对所有人开放的「管道系统」。

去中心化系统的抗审查性,不仅保护用户,也保护建设者和竞争者。这一特性确保了传统金融早已消失的竞争流动性。

任何创业者都可以接入以太坊,用它来处理支付,或者更进一步,建立自己的支付服务。但几乎没有创业者能接入美联储的 Fedwire 系统。因此要创立一家公司来与像摩根大通这样的代理银行竞争,你必须先成为摩根大通的客户。

同理,全球任何代币化初创公司都可以接入以太坊等无需许可的区块链。但没有初创公司能接入美国证券存托与清算公司(DTCC)旗下、处于美国股票清算核心的「国家证券清算公司」(NSCC)。初创公司只能通过像纽约梅隆银行(BNY)这样的清算经纪商来使用此基础设施。

现在猜猜谁拥有并管理 DTCC?答案正是纽约梅隆银行这类清算经纪商。

大多数人没有意识到,传统金融的核心「管道」是多么的反竞争。若将此比喻为互联网,那就好比谷歌、亚马逊等少数几家公司拥有所有的网络服务器,而你想在广告或电商领域与它们竞争的唯一途径,就是向它们付费。

那么当加密世界已重要到无法忽视,这些坐拥巨大利润、早已不习惯竞争、地位稳固的行业巨头,会怎么做呢?

它们会主动放弃权力和利润吗?从拥有全部基础设施、毫无竞争压力的舒适环境,主动跳入一个竞争惨烈的「地狱」?在它们高效的护城河上放下吊桥,邀请入侵者进来?决定少赚钱,看着股价下跌,少拿奖金?

我认为不会。

但别只听我说。请设身处地,想象一下运营这些机构的聪明人会怎么想。

你运营着 DTCC 的子公司,可以说是地球上最中心化的公司之一,其垄断地位受半个世纪的证券法保护。你会拥抱建立在以太坊上的代币化方案吗?在那个平台上,任何人都可以与你竞争。还是说,你会倾力支持某个公司链,其领导层多年来一直在你耳边灌输甜言蜜语?

「我的链是许可制的。由我决定谁能验证交易、谁能使用、费用多少、谁能查看数据,甚至是我原生代币的供应量。我掌握一切权力。我可以邀请任何人加入我的网络,但我选择了你......」

现在,再设身处地,想象一下最大型传统金融交易所和支付处理商的领导者。你会选择拥抱我这样的人所期待的加密版本吗?那个去中心化、抗审查,并允许从加密原生初创公司到非金融行业巨头(谷歌?Meta?沃尔玛?)所有人都能与你正面竞争的版本?

还是会拥抱那个基于「贵公司今天举足轻重,未来也必须如此」这一前提的版本?

「我在你们行业工作了几十年。我和你穿同样的西装,同样的 Patagonia 背心。我知道你们需要什么,我设计了一个中心化的区块链,能让你们保持权力和主导地位。我的目标不是颠覆或取代你们,而是帮你们提升效率。」

传统金融机构庞大而官僚。它们雇用了许多聪明人,其中一些确实「懂得」无需许可的基础设施、智能合约和代币化能带来的社会效益。但它们的领导者之所以能坐上今天的位置,正是因为他们深谙并拥抱了中心化之道。

那么,如果你是全球最大银行之一的 CEO,坐在崭新摩天大楼的顶层呢?多年来,你一直公开反对加密货币,称其为欺诈和犯罪工具。你的一些年轻高管不以为然,他们看好比特币、以太坊、Solana,希望公司向那个方向迈进。但这时,一位更资深、职位更高的高管向你提出了另一个方案:

「区块链技术是好的,但去中心化是坏的。让我们为自己的客户建立或控制一个中心化的区块链。我们可以提供代币和智能合约,但一切由我们控制。我们是世界上最伟大的银行。由我们掌控,才是真正的社会福祉。」

作为 CEO,你会选择哪一个?

在 2025 年即将结束之际,我留给所有人的最后忠告是:要警惕这些机构在「上链」过程中试图释放的「信号」。它们所拥抱、倾力支持、出资并游说的那种「加密版本」,很可能不会是最终胜出的版本。

我确信,它们所钟爱的那个愿景必将失败。

如果你想当「西装追捧者」,请自便,但历史不会对此表示赞赏。没有去中心化的区块链,毫无意义。

这并非说中心化本身是坏的,或必须在所有领域被废除。而是说,它不属于链上。那些最大型传统金融机构的领导者们不这么想,这无关紧要。为他们辩解一句:他们只是在维护自身利益罢了。

那么,你的借口又是什么?

随着传统金融逐渐上链,那些最大中介机构的行动,恰恰是未来真实面貌的反指标。他们越是热情拥抱某种特定形态的加密世界,那种形态就越不可能成功。

未来,必将与过去截然不同。

Related Questions

Q为什么作者认为传统金融巨头拥抱加密的特定形态注定失败?

A作者认为传统金融巨头的权力和利润源于其在中心化金融基础设施中的垄断地位,而它们拥抱加密的目的是维持自身权力而非真正接受去中心化理念。它们倾向于选择许可制、中心化的区块链方案,这与加密技术去中心化、抗审查的核心原则相悖,因此这种拥抱注定失败。

Q传统金融巨头在加密世界中面临的根本矛盾是什么?

A传统金融巨头的根本矛盾在于:它们的现有权力和利润依赖于中心化、反竞争的金融基础设施,而加密技术的核心是去中心化和开放竞争。拥抱真正的加密技术意味着放弃垄断地位和巨额利润,这与它们的利益根本冲突。

Q作者如何用互联网类比传统金融的核心“管道”?

A作者将传统金融的核心“管道”类比为:少数几家公司(如谷歌、亚马逊)拥有所有网络服务器,而其他企业想在广告或电商领域与它们竞争的唯一途径是向它们付费。这揭示了传统金融基础设施的高度反竞争特性。

Q为什么去中心化区块链对竞争至关重要?

A去中心化区块链具有抗审查性和无需许可的特性,允许任何创业者或企业接入并构建竞争性服务,而传统金融基础设施则通过监管和系统设计限制竞争,确保少数巨头的垄断地位。

Q作者给读者的最终忠告是什么?

A作者提醒读者要警惕传统金融机构在“上链”过程中释放的信号,它们所拥抱的中心化加密版本很可能不会成功。真正的加密未来必须是去中心化的,而传统巨头的选择恰恰是未来真实面貌的反指标。

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This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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