AI Is Becoming the Front Door for Financial Engagement
What Comes Next for Banking and Fintech
I had the pleasure of attending last week’s “Plaid House,” hosted by This Week in Fintech. It was a fabulous NY Fintech Week event and offered a sharp look at where the industry is heading.
The panels reinforced a clear TLDR: AI is becoming the front door for financial engagement. Across the ecosystem, there is a major shift underway in how consumers access financial information, make decisions, and ultimately interact with financial institutions.
What is emerging is not just a new toolset, but a new behavioral layer, where AI increasingly sits between consumers and their financial lives.
From Apps to AI: A Structural Shift in Behavior
This shift toward AI in finance is no longer theoretical. It feels like something you can actually notice in how we, as consumers, interact with money day to day. Financial app usage has surged from roughly 13% to over 60% year-over-year, largely driven by AI-enabled tools. But the more interesting shift isn’t just adoption, it’s our behavior. Increasingly, financial questions are being asked directly through AI platforms rather than through traditional apps or search engines.
Most of us now assume that financial answers should be instant, contextual, and tailored. Instead of opening multiple apps or digging through dashboards, there’s a growing preference for a single conversational interface that can interpret what we mean and respond in real time.
Three Ways We’re Starting to Use AI for Money
What stood out most is that there isn’t just one type of “AI user” emerging in finance. It actually breaks down into a few different behaviors that feel very recognizable.
There’s the everyday user, which honestly feels like the majority, who asks simple, practical questions about budgeting or how to think about a financial decision in the moment. AI becomes the starting point, almost like a first opinion.
Then there are the more advanced users, the prosumers, who are actively building their own systems by combining AI tools with personal financial data. They’re not just asking questions; they’re essentially designing their own financial workflows.
And then there’s a third group that still relies heavily on traditional fintech apps for things like credit building, investing, or budgeting. Speakers on panels at the event spoke about how AI adoption doesn’t need to equate to complete desertion of traditional tools. AI can still help interpret and guide those decisions, even if the execution still happens in apps we already use.
Across all of these groups, the common thread is simple: AI is no longer something “extra.” It’s becoming the default expectation.
AI Is Changing Access, But Not Replacing Trust
One of the most interesting dynamics is that AI is clearly making financial information more accessible. It lowers the barrier for asking questions, learning concepts, and exploring options, especially for people who may not have felt confident engaging with traditional financial tools before.
But at the same time, it doesn’t replace the financial institutions people actually rely on. Banks and fintechs still hold the trust layer, especially when real money is involved.
What’s emerging instead is a split: AI helps us think through decisions, but we still turn to a regulated financial institution (think: big bank) to act on them. In moments where money moves, trust still sits with banks.
Why We’re Not Fully Letting AI Take Action Yet
There’s a clear hesitation when it comes to “agentic AI”, which are systems that can actually execute financial actions on our behalf.
Most of us are comfortable using AI to research or recommend, but much more cautious when it comes to giving it permission to move money or complete transactions. Concerns around trust, liability, and simply “what happens if it gets it wrong” are still real barriers.
So while the interest is there, full adoption is still early. There’s a noticeable gap between what we’re curious about and what financial institutions are actually able to safely offer today.
The Real Bottleneck Isn’t AI
One theme that kept coming up is that the limitation right now isn’t really AI itself, it’s everything underneath it.
A lot of financial institutions are still dealing with fragmented data, legacy infrastructure, and systems that were never built for real-time, AI-driven experiences. That matters because AI is only as good as the data it can actually access.
Where We Can Already See AI Working
Even with those limitations, we can already see where AI is starting to make a difference.
It shows up in more personalized financial experiences, better recommendations, and more relevant cross-sell opportunities. It also shows up in something much simpler but important: how conversations around money are starting to feel less rigid and more natural.
Instead of clicking through forms or dashboards, more of these interactions are becoming conversational, almost like explaining what we need and getting a response back immediately.
Behind the scenes, this is also pushing financial institutions to experiment more quickly and move away from slow, rigid product cycles.
A New Kind of Risk Environment
At the same time, there’s a darker side to all of this. Fraud is becoming faster, more scalable, and more sophisticated, especially with tools like synthetic identities and deepfake impersonation.
That’s forcing a shift in thinking, from reacting after something goes wrong to building safeguards before transactions even happen. We’re starting to see ideas like “positive friction,” where verification is built into context rather than layered on as an afterthought.
Where This Is All Heading
Zooming out, the direction feels pretty clear. Financial services are moving toward a more conversational, AI-mediated experience, where the first interaction isn’t an app or a login screen, but a question.
Banks and fintechs still hold a structural advantage in trust and money movement, but the “front door” is changing.
And what stood out most to me is that the winners in this next phase probably won’t just be the ones building the best AI tools; they’ll be the ones that figure out how to connect AI, data, and trust in a way that actually feels seamless in real life.
At the end of the day, this isn’t just about how the financial services system works differently… It’s about how we engage with our money differently.
