本期播客节目中，帕特里克与 Nubank 的创始人展开了对话，回顾了该公司从一家不被看好的初创企业发展成为全球庞大数字金融巨头的十年历程。在过去的五年里，Nubank 的客户数量从 3500 万增长到 1.4 亿，而员工总数仅为 10,000 人；相比之下，传统的行业竞争对手在服务 100 万客户时需要 100,000 名员工和 6,000 个网点。由于传统的实体基础设施带来了巨额成本，Nubank 服务单个客户的成本仅约为传统银行的 3%，这使得他们能够通过更低的费用和更好的产品将这些节省下来的资金回馈给消费者——这一切甚至在人工智能整合之前就已经实现了。 对话指出，全球消费金融服务是一个规模达 10 万亿美元的行业，其中大约 90% 的市场份额仍然通过传统银行网点和老牌银行进行。Nubank 在巴西取得了独特的规模，服务了大约 65% 的成年人口（约 1.2 亿客户），并成为其中约 60% 的用户的首要日常银行账户。这代表了一场大规模的市场迁移，类似于传媒领域的 Blockbuster 向 Netflix 的转变，或是实体零售向亚马逊的转变。 创始人将全球金融服务的未来细分为三个主要的痛点领域：获取途径、成本和智能。 - **获取途径：** 近一半的全球人口——约 30 亿人——仍然缺乏获取信贷产品的途径，以现金为主的经济体正在稳步向 PIX 或 UPI 等实时支付系统过渡。将这些日常交易数字化，能够为小微企业和无银行账户的人群获取信贷并加速全球 GDP 增长提供必要的历史数据。 - **成本：** 传统银行系统强加了巨大的隐形财富税，例如向零售储蓄者支付接近于零的数万亿美元存款收益，同时却用这些资金来维护实体网点。在一个竞争激烈的数字优先环境中，这些成本、每月账户管理费以及高昂的汇款费用将趋近于零。 - **智能：** 尽管高收入人群历史上一直享有私人银行家和定制化金融优化的服务，但 99% 的消费者却只能依赖低效的金融教育课程。人工智能改变了这一点，它为每个人提供了超级智能，能够代表他们优化财务生活，从而有效地通过竞争消除传统银行的利润池。 Nubank 的竞争优势在很大程度上依赖于海量的专有数据以及为金融服务和信贷决策量身定制的自研基础模型。虽然处于早期阶段的人工智能初创公司具备速度优势，但它们缺乏老牌企业所拥有的多年数据历史、消费者信任以及监管银行牌照。该公司正在积极利用人工智能重塑内部工作流程，将组织层级从 10 层压扁至 5 层，并利用实时数据来构建一个更贴近真相的组织。 最后，对话探讨了塑造下一个十年的宏观趋势，包括现金的衰落、降低消费者惰性的开放金融和开放银行的崛起，以及法定货币与全球稳定币/加密货币系统日益加剧的融合。创始人最后分享了对领导力的个人思考、克服冒名顶替综合征的经历，以及坚持不懈、以消费者为中心的使命，致力于将 Nubank 的数字银行业务模式从拉丁美洲扩展到横跨 100 多个国家的全球规模。

This podcast features a discussion between Patrick and the founder of Nubank, reflecting on the company's decade-long journey from an underdog startup into a massive global digital financial powerhouse. Over the past five years, Nubank has grown from 35 million customers to 140 million customers, while employing only 10,000 people compared to traditional incumbent competitors who serve 100 million customers using 100,000 employees and 6,000 branches. Because traditional physical infrastructure creates massive costs, Nubank's cost to serve a customer is only about 3% of a traditional bank's, allowing them to pass those savings back to consumers through lower fees and better products—all achieved even before the integration of artificial intelligence. The discussion highlights that global consumer financial services is a $10 trillion industry where roughly 90% of the market still flows through traditional banking branches and incumbent banks. Nubank has achieved a unique scale in Brazil, serving roughly 65% of the adult population (about 120 million customers) and functioning as the primary, day-to-day bank account for about 60% of them. This represents a massive market migration akin to the transition from Blockbuster to Netflix in media or brick-and-mortar retail to Amazon. The founder breaks down the future of global financial services into three major problem buckets: access, cost, and intelligence. - **Access:** Nearly half the global population—roughly 3 billion people—still lacks access to credit products, and cash-heavy economies are steadily transitioning to real-time payment systems like PIX or UPI. Digitalizing these everyday transactions provides the necessary data history for small businesses and unbanked populations to secure credit and accelerate global GDP. - **Cost:** Traditional banking systems impose massive hidden wealth taxes, such as paying retail depositors near-zero yield on trillions of dollars while using those funds to maintain physical branches. In a competitive, digital-first environment, these costs, monthly account fees, and high remittance charges will trend toward zero. - **Intelligence:** While top-tier earners have historically enjoyed access to private bankers and bespoke financial optimization, 99% of consumers have had to rely on ineffective financial education classes. AI changes this by providing every person with super-intelligence to optimize their financial lives on their behalf, effectively competing away legacy banking profit pools. Nubank’s competitive advantage relies heavily on massive proprietary data and custom-built foundation models tailored for financial services and credit decision-making. While early-stage AI startups possess speed, they lack the multi-year data histories, consumer trust, and regulatory banking licenses that established players hold. The company is actively reinventing internal workflows using AI, flattening its organization from 10 layers down to 5, and leveraging real-time data to build an organization closer to ground truth. Finally, the conversation explores macro trends shaping the next decade, including the decline of cash, the rise of open finance and open banking which reduces consumer inertia, and the increasing convergence of fiat and global stablecoin/crypto systems. The founder concludes by sharing personal reflections on leadership, overcoming imposter syndrome, and maintaining a relentless, consumer-obsessed mission to take Nubank’s digital banking model from Latin America to a global scale spanning over 100 countries.