The future of banking may depend less on conversion and more on consideration.
ChatGPT introduced mainstream consumers to generative AI that could answer questions, summarize documents, develop ideas and produce content. Meta’s Muse represents the next phase: AI that doesn’t just provide an answer but also performs the work.
Launched in late September, Meta positions Muse as a personal AI agent capable of browsing websites, filling out forms, making reservations and executing multi-step workflows on a user’s behalf. It can keep working after the user closes the application and return when it needs information or approval. The Muse AI agent has already surged past ChatGPT, Claude and Grok on U.S. app store charts, racking up over 2.5 million downloads in its first 13 days.
Whether Muse ultimately wins the “agentic war” is almost irrelevant. The more important development is that agentic AI has arrived for mainstream consumers. Meta, OpenAI, Google and others are competing to become the interface between consumers and the services they use every day. Banking just happens to be one of those services.
Consumers are not nearly as comfortable delegating financial authority as technology companies might hope. But they are surprisingly comfortable allowing AI to inform financial decisions. The gap between those two levels of trust may be one of the most important data points in banking today.
In one Experian study, 82% of respondents trusted large language models to compare loans. TD Bank’s U.S. research found only 18% were comfortable allowing AI to make important financial decisions independently. That is not primarily a technology story. It is a distribution story.
The industry debate assumes disruption begins when consumers allow agents to move money, open accounts, submit applications or execute transactions. The data suggests we are not there yet. Most consumers still want a human involved when meaningful financial decisions are made, and concerns about fraud, mistakes, privacy and accountability remain.
For many bankers, that is comforting, but it shouldn’t be. AI does not need authority to execute the transaction. It only needs influence over the decision.
Imagine shopping for a mortgage. You do not have to trust an agent to submit the application, move money or choose the lender. You only have to trust it enough to answer one question: Which lenders should I consider?
Once the agent supplies the answer, most lenders have already lost. Not because their rates were bad. Not because their products were inferior. Because they never made the list.
Twenty years ago, consumers went directly to banks. Then they started their journeys on search engines, so banks optimized for search. Then customers turned to comparison sites, reviews and aggregators, so banks optimized for ratings and placement.
Every major distribution shift follows the same pattern: a new layer inserts itself between the customer and the institution. The institutions that adapt thrive. The institutions that do not complain about commoditization.
Agentic AI could become the next layer, not because it owns deposits, originates loans or processes payments, but because it controls discovery. And discovery is where markets are won.
Banks and credit unions have spent two decades building better apps, streamlining digital account opening, redesigning websites and investing in user experience. Those investments were not mistakes. But they were built around one assumption: The customer will eventually show up.
The new winners will not necessarily be the institutions with the prettiest app. It may be the institution that can be most easily understood, compared, evaluated and recommended by an AI system. That is a very different competitive advantage.
So how can banks and credit unions compete in an agent-driven world? If AI agents increasingly influence which providers consumers consider, institutions will need to think beyond traditional measures of marketing performance and digital engagement. The competitive challenge may no longer begin when a prospect arrives. It may begin much earlier.
These five steps can help you get shortlisted for consideration in a competitive field:
Simplify products before agents force you to
Agents will compare rates, fees, rewards, eligibility requirements, account terms and onboarding friction. If a product requires three footnotes, two disclosures and a decoder ring to understand, do not be surprised when an agent recommends something simpler. The institutions most likely to get shortlisted will be the easiest to understand, not necessarily the most sophisticated.
Start thinking about “agent optimization”
Banks have spent 20 years optimizing for branches, Google, mobile devices and app stores. A new channel may be emerging. Are rates easy to find? Are products clearly described? Is the information structured? Can an agent determine what makes the institution different? The future version of SEO may stand for Shortlist Eligibility Optimization
Double down on what agents can’t do
Community involvement, local relationships, business expertise, financial coaching and trust are not just marketing messages. They may become some of the few competitive advantages that cannot be reduced easily to a spreadsheet comparison. As agents make product evaluation more efficient, differentiation may come from what is hardest to quantify.
Measure consideration, not just conversion
Branch traffic, website visits, applications and referral sources all measure customers who arrived. If an agent creates the shortlist before the customer visits the website, those become lagging indicators. The more important question is: How often are we even being considered?
Watch who keeps making the shortlist
The most revealing outcome may not be which agent wins. It may be which financial institutions repeatedly appear when consumers ask for the best checking account, mortgage lender or small-business bank. Some institutions will consistently make the shortlist. Others will not. Understanding why may become one of banking’s most important competitive exercises.
The industry is asking whether consumers will trust AI to move money. The more important question is whether or not consumers will trust AI to tell them where to move their money.
Consumers remain cautious about autonomous AI decisions, but they are already using AI to compare providers, receive recommendations and, in some cases, select financial services providers.
In an agent-driven world, getting considered may become more important than getting discovered.