<div id="readability-page-1">Money Fintech Banking on a Force Multiplier: How Agentic AI Could Redefine the Future of Banking BySarah Biller ,  Contributor.  Forbes contributors publish independent expert analyses and insights. I'm the director of Vantage Ventures and co-founder of FinTech Sandbox Follow Author Oct 11, 2025, 11:04pm EDT Share Save Comment  Agentic AI is poised to become banking’s ultimate teammate—one that learns, reasons, and acts with purpose. Getty Images According to the American Bankers Association, more than three-quarters of U.S. consumers now prefer to manage their money through a mobile app or online portal. From checking balances to paying bills, digital banking has made financial management faster and more convenient than ever. Yet the same technology that made it easier has also widened the gap between bankers and customers for some of the institution’s most essential services like lending and personalized advice. It comes as no surprise that bankers still question whether technology truly multiplies human capability.  Now, Agentic AI is poised to change the math.  A force multiplier, a term borrowed from defense strategy, refers to any tool or tactic that dramatically expands human effectiveness. Manufacturing, logistics, and even healthcare have already embraced technologies that extend human reach. But in community banking, the human relationship has always been the multiplier. Trust, empathy, and judgment - the cornerstones of banking since ancient Babylon - don’t translate easily into code.  According to the American Bankers Association June 2025 survey, 80% of U.S. banks have increased their investment in AI. Beyond chatbots and fraud detection, a new class of “agentic” systems is emerging. Agentic AI-enabled systems don’t just respond, they act. Early prototypes show these systems autonomously executing multi-step workflows common in compliance, such as BSA, AML, or KYC reviews. They don’t just flag suspicious activity; they reason through it, plan next steps, and adapt as they learn.  This is not merely an upgrade to the bank’s tech stack - it’s the beginning of a structural shift in how banks operate.  Unlike generative AI, which produces content from human prompts, agentic AI operationalizes intelligence. It takes an objective, plans actions, and carries them out with minimal supervision. Think of generative AI as a smart assistant; agentic AI, by contrast, behaves like a proactive teammate. In retail banking, such teammates or “agents” could help customers budget, refinance loans, or automatically switch to accounts offering higher yields. In doing so, they could unlock billions of dollars in new consumer activity while transforming how banks compete for deposits and loyalty.  But for all its promise, agentic AI faces the same old challenges: data quality, governance, and the delicate balance between automation and trust. Can an algorithm truly learn the nuances of a customer’s financial life? Can it replicate the empathy of a banker who knows a client’s story?  MORE FOR YOU The banking industry’s next great test isn’t just deploying AI, it’s training it to earn trust. If agentic AI is to become a true force multiplier, it must evolve from sidekick to teammate, reshaping not only what banks do but how they serve.  Editorial Standards Reprints &amp; Permissions LOADING VIDEO PLAYER... FORBES’ FEATURED Video</div>

荷蘭國際

<p>代理人工智能將通過增強人類能力和轉變客户互動來徹底改變銀行業。儘管數字銀行提高了便利性，但也在貸款等基本服務中造成了空白。隨着 80% 的美國銀行增加對人工智能的投資，代理人工智能系統正在出現，能夠自主執行復雜的工作流程，超越基本任務。然而，數據質量和信任等挑戰依然存在。為了使代理人工智能取得成功，它必須從支持工具演變為銀行業中值得信賴的團隊成員，重塑服務交付和客户關係</p>

依靠倍增器：代理 AI 與銀行業的未來