AI Agents Could Redefine Banking as Efficiency Replaces Relationships

The next major shift in banking may not be centered on new products or deeper customer relationships. Instead, financial institutions could increasingly compete to serve artificial intelligence agents that compare providers, manage transactions and make financial decisions on behalf of consumers.

Banking futurist and author Brett King explores this possibility in his latest book and argues that autonomous AI agents will change how people borrow money, manage cash flow and select financial providers. During a recent episode of the Banking Transformed podcast, King said banks may eventually compete less on rewards, branding and personal relationships and more on speed, cost and measurable financial outcomes.

The shift would require banks to rethink their technology platforms, operating models and approach to regulation. It would also create new questions about digital identity, agent authorization, consumer protection and the infrastructure needed to support automated financial services.

Key Takeaways

• AI agents may become the primary gateway to banking services. Banks will need products that agents can discover, compare and activate on behalf of customers.
• Operational efficiency will become a central competitive measure. Institutions with flexible technology and lower costs may gain an advantage over banks tied to legacy systems.
• Personal AI could improve financial inclusion. Digital money coaches may help consumers overcome language, literacy and financial knowledge barriers.
• Banking infrastructure must evolve. Agent identity, automated oversight and coordinated regulation will be essential for safe adoption.

AI Agents Could Select Banks for Consumers

King’s central thesis is that AI agents will become increasingly important users of financial services. Some major banks already limit access by automated systems to basic, read-only functions, but those restrictions may represent an early stage of a broader transformation.

Imagine a consumer seeking a loan to finance a major purchase. Instead of visiting several bank websites, comparing interest rates and reviewing repayment terms, the customer could ask a personal AI agent to conduct the research. The agent could contact multiple providers, evaluate fees, compare penalties and identify the most suitable offer.

In time, the consumer may allow the agent to select the provider and complete the transaction. The customer may care about the result, such as the total cost and flexibility of the loan, but have little interest in which bank ultimately supplies it.

This model would change the way banks compete. An AI agent is likely to focus on financial value, speed, transparency and reliability rather than advertising campaigns, loyalty rewards or traditional product packaging. To remain visible, banks will need to make their products available in consistent, machine-readable formats.

Sending an agent through a complex website or mobile application would undermine the purpose of automation. Financial institutions will instead need systems that allow authorized agents to access information, make comparisons and complete transactions securely.

The idea of customer primacy would also change. A consumer’s personal AI agent could understand income, spending patterns, financial goals and risk preferences across multiple providers. That may give the agent a more complete view of the customer than any individual bank can maintain.

Banking Efficiency Will Shape Competitive Advantage

As AI automates more banking processes, cost efficiency could become one of the most important measures of competitiveness. King points to digital-first institutions such as Nubank and WeBank as examples of banks that have used technology to operate at lower costs while serving large customer populations.

Lower operating expenses can make it more practical to serve customers with modest balances or less predictable financial activity. This could expand access to banking services that traditional institutions may consider too expensive to provide under branch-based or legacy operating models.

AI may extend this advantage by automating customer service, underwriting, fraud monitoring, compliance processes and financial advice. Banks that combine automation with strong data systems may be able to deliver faster decisions and more personalized support without increasing costs at the same rate.

Cost-to-income ratios and capital efficiency could therefore become more important than the size of a branch network or the number of products offered. Banks may also face growing pressure to justify the expense of maintaining physical locations and outdated technology platforms.

Over the next decade, institutions could find it increasingly difficult to defend high operating costs when digital competitors deliver comparable services through more efficient systems. The strongest banks may be those that can continuously update their technology while keeping their infrastructure economical and reliable.

Personal AI Could Support Financial Inclusion

Agent-based banking could also improve access to financial guidance. A personal AI money coach could help consumers understand spending, manage bills, build savings and make more informed decisions through natural conversation.

This type of support could be especially valuable for people who face challenges with financial terminology, reading comprehension, language or limited access to professional advice. Instead of requiring customers to navigate complex forms and unfamiliar product descriptions, an AI assistant could explain options in clear, personalized language.

Investment risk assessments provide one example. Financial institutions often require customers to complete questionnaires before accessing certain products. These forms can be difficult for people who are unfamiliar with investment concepts or who struggle with the language used in financial documents.

A personal AI assistant could explain each question, place it in context and help the customer understand the potential consequences of different choices. With permission, it could also analyze cash flow and spending behavior to provide guidance based on the person’s actual financial situation.

Ongoing support may be more effective than a one-time budgeting course because the advice would appear when a customer is making a real decision. The system could identify recurring expenses, warn about upcoming cash shortages or suggest ways to build an emergency fund.

Access to smartphones, reliable connectivity and computing resources remains an important consideration. However, these services may not require the newest or most expensive devices. Banks that make personal AI affordable and easy to use could extend financial wellness services to customers who have historically been underserved.

Digital Identity and Regulation Must Catch Up

The growth of autonomous financial agents would create a major challenge for regulators. Current banking systems generally assume that a human customer authorizes and completes a transaction. An agent acting independently on behalf of that customer introduces new questions about responsibility, consent and accountability.

Financial institutions will need reliable digital identity systems that can confirm an agent’s legitimacy and determine whether it has permission to represent a particular person. Banks may also need to identify the limits of an agent’s authority, such as whether it can review account information, transfer funds or apply for credit.

Automated supervision will be another essential component. Regulators and banks may require systems that monitor agent activity, detect unusual behavior and stop transactions that exceed approved boundaries. Oversight must operate at a scale that would not be possible through manual review alone.

Preparedness will vary among countries and regions. Singapore and China are often viewed as leaders in digital government and financial technology, while the United Kingdom and the United Arab Emirates are also developing capabilities that could support agent-based services. The United States and Australia may face additional challenges because of fragmented regulatory structures and differing standards across jurisdictions.

In the United States, regulators would need to determine which agencies are responsible for creating and maintaining the technical systems that translate financial rules into automated controls. The answer could affect how quickly banks can deploy AI agents and how consistently those systems operate.

Cross-border coordination will be just as important. AI agents may compare banks and move money across several markets, creating the need for shared standards covering identity, privacy, consumer protection and transaction monitoring. International frameworks could help prevent regulatory gaps as automated financial activity expands.

Legacy Banks Face Strategic Pressure

King expects consolidation across financial services to accelerate as the industry moves toward the mid-2030s. Banks that cannot connect to emerging technology infrastructure may lose customers gradually as consumers rely on agents to select more efficient providers.

Some institutions could become acquisition targets if they possess valuable customer relationships, licenses or deposits but lack the technology needed to compete in an autonomous financial environment. Others may need to invest heavily in modernization simply to remain compatible with new distribution channels.

The strategic priority for banks is not only adopting AI. Institutions must also build systems that can communicate with authorized agents, protect customer data and adapt to evolving regulatory requirements. Technology compatibility, operating efficiency and secure identity management will increasingly determine which banks can compete.

As banking becomes part of the infrastructure supporting an autonomous economy, the institutions that succeed may be those that deliver the most useful financial outcomes at the lowest sustainable cost. Traditional relationships will remain important, but efficiency, accessibility and trust in automated systems could become the defining advantages of the next generation of banking.

Source: TheFinancialBrand.com