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FinovateSpring wrapped up last week, and with content running Monday through Thursday, there was a lot to take in. Because I spent the majority of the time running from microphone to microphone, from stage to camera, I missed many of the key demos and presentations.
I did, however, have time for a lot of quality conversations (both on and off stage). Here are some of the insights from the event.
Lines are blurring
It is clear that the world of fintech and banking we had from 2010 to 2023 is slowly fading away. Conversations with multiple people, especially my on-stage breaking news analysis session with Jim Perry, solidified this sea change.
As an industry, we are no longer talking about banks vs. fintechs or banks partnering with fintechs. Instead, the lines are blurring between what is a bank and what is a fintech as fintechs shift to becoming infrastructure providers. Similarly, in the payments world, consumers no longer need to understand the difference between decentralized finance and traditional finance. The increased use of stablecoins with easy on and off ramps to fiat currencies removes the complexities involved in leveraging decentralized finance and makes it easy for consumers to use new tools without ever changing their habits.
Distribution channels are shifting
LLMs are slowly becoming a major distribution channel for a range of bank tools. Consumers are increasingly consulting their preferred LLM to shop for loans, life insurance, credit cards, and more. As AI agents become more prolific, the customer relationship will be one step further removed from the lender, insurance company, and credit card provider. Instead, these players risk becoming infrastructure providers operating behind the scenes while AI platforms control discovery, recommendation, and engagement.
AI progress may not be linear
We are moving very quickly toward an AI-first future and if you don’t already have a team of AI agents running tasks behind the scenes, it is easy to feel like you are behind. There are, however, a few downsides to AI that may change the trajectory of adoption.
First, banks are built to handle human risk, not AI agent risk. While banks implement access controls, require approvals, and document audit trails, this is not sufficient for AI agents, which have been known to circumvent guardrails and even blackmail users in order to accomplish their own objectives. Given these risks and systemic limitations, banks may need to slow their progress, especially when it comes to using agentic AI.
Second, scaling AI is limited. While we often talk about AI like scaling software, in reality, it is closer to building up infrastructure. The energy demand for AI tools is exploding, and compute is constrained by the construction of data centers, which can be expensive and difficult to approve and build because of regulatory and environmental constrictions.
Additionally, it is important to consider the risks that happen when decisions are made in real time. When AI models are making decisions quickly, any mistakes, manipulation, or fraud within the model will propigate at the same rate.
Finovate is still about community
Finovate isn’t the biggest fintech conference, and it never will be. That’s because we have a focus on community. Instead of attending a frenzied event where you only get five minutes with each person you meet, the Finovate networking hall creates space for deeper conversations and genuine connections.
The focus on the fintech community is intentional. It is what keeps people coming back year after year. At a time when so much of the industry is being shaped by automation and digital interactions, there is still real value in face-to-face conversations, spontaneous introductions, and the kind of discussions that continue long after a panel ends.
Some of the most valuable insights from last week came from hallway conversations, lunch meetings, dinners, and the moments in between sessions where people could speak candidly about what they are building, where they are struggling, and where they believe the industry is heading next.
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