AI in Banking: The Era of the Anticipatory Bank

AI in Banking: The Era of the Anticipatory Bank

29 Jun 2026

Until recently, the relationship between a bank and its customers was straightforward: the customer had a problem, contacted the bank, and the bank responded. That model is already being replaced. Today, thanks to artificial intelligence, the most advanced banks no longer wait for customers to come to them: they anticipate their needs, understand their behavior, and offer what they need before they even ask for it.

The World Economic Forum describes this as the new frontier of finance: intelligent systems that analyze behavior and spending patterns to provide personalized financial guidance in real time, the equivalent of having a financial advisor available 24/7 who knows your situation better than anyone else. It is no longer about treating everyone the same; it is about understanding each customer as an individual.

The Financial Industry Is Adopting AI Faster Than Regulators Themselves

The industry is already aware of this and is accelerating. The Global AI in Financial Services Report 2026, published by the University of Cambridge together with the Bank for International Settlements, the International Monetary Fund, and the World Economic Forum, confirms that the financial industry is adopting AI at a pace that exceeds even that of regulators. The most agile banks are already using these technologies directly in customer interactions: from digital assistants that resolve inquiries instantly to systems capable of detecting when an individual may need a loan, insurance, or an adjustment to their finances before they even realize it themselves.

Customer Trust: The One Factor No Technology Can Replace

However, the same report warns that the greatest obstacles are not technological: they are data quality, the shortage of specialized talent, and the difficulty of modernizing legacy technology platforms. Added to this is something that CINTEL, the Center for Innovation, Productivity, and Technological Development, clearly highlights: effectively integrating AI requires clear rules regarding how customer data is used and how automated decisions are made.

In banking, this is not optional. A customer who feels that their bank is using them merely to sell products without truly understanding them, or who does not trust how their information is being handled, is not a loyal customer; they are a user who will leave.

This tension between speed of adoption and customer trust is precisely the type of conversation that ANDICOM 2026, Latin America’s leading technology and artificial intelligence congress, seeks to address. Under the theme “Unleashing the Power of AI,” the congress will bring together leaders from the financial, technology, and regulatory sectors to explore how to unlock the true potential of AI in industries that, like banking, depend as much on innovation as they do on people’s trust.

Does your organization already have an answer for that conversation?