The programmable banking era is here. Is your institution ready?
Fintechs are winning your clients' relationships. AI has become their new interface. Even money is starting to behave like software. Here's what that means for banks and credit unions, and what to do about it.
For most of banking's history, the relationship was the moat. A customer or business banked with an institution that knew them, and there was no serious alternative to that arrangement. That era has ended, and it's not on banking's timeline.
Three forces are converging at once: fintechs are capturing the commercial relationships institutions have built over decades, AI has become the interface businesses use to manage their finances, and stablecoins are turning money itself into something programmable. Each force accelerates the other two.
Fintechs are already inside the relationship
Mercury processed $248 billion in transaction volume in 2025 and now serves more than 300,000 businesses, all without being a bank itself. Slash grew from $10 million to $250 million in annualized revenue in 24 months and moved over $1 billion in annualized stablecoin payment volume within nine months of launching the product. Both were built API-first. Your clients can connect to them the way they connect to any other software.
$3 trillion
has moved out of banks and credit unions and into fintechs, neobanks, and digital investment platforms over the past five years. (Cornerstone Advisors & Investifi)
AI adoption didn't take decades. It took two years.
Digital banking took nearly two decades to go from 10 percent adoption to mass-market. AI didn't. In 2023, 55 percent of organizations had adopted AI in at least one business function. By late 2025, that number reached 88 percent.
33% ↑
AI adoption in at least one business function increased by 33% in just two years.
Your business clients are already using AI to manage cash, automate payments, and build financial workflows, whether or not your institution is part of them.
"Fintechs speak code and work in software. AI agents speak code. Even money itself is beginning to speak code. The programmable banking era is here."
Waiting has a cost too
Core replacement is where most institutions look first, and the math rarely works. McKinsey puts the cost at more than $50 million for medium-sized banks and $300 to $400 million for larger ones. IBM found that 94 percent of core banking modernization projects exceed their timelines. Meanwhile, 70 to 80 percent of banks' technology budgets are already consumed just maintaining legacy systems.
Deferral isn't a neutral choice. It's a choice too, and the gap between what your clients need and what you can offer them widens every quarter you wait.
What the whitepaper covers
Our whitepaper, The Era of Programmable Banking: Why the Future of Financial Services Speaks Code, lays out:
The three forces reshaping commercial banking, and why the next 12 months will prove definitive
Why core replacement, Banking-as-a-Service, and custom integration each fail mid-sized institutions in different ways
What a purpose-built programmable banking platform has to incorporate from day one
Real-world use cases: corporate treasury, real-time reconciliation, gig and embedded payroll, and cross-border stablecoin settlement
The revenue models already emerging around API monetization, and how JPMorgan, BBVA, Citi, and Fiserv are capturing them today
