Eighteen de novo bank charter applications filed with the Office of the Comptroller of the Currency in 2025 marked a “return to the norm” for the agency after years of regulatory dissuasion, according to Banking Dive. Six of those applicants received conditional approval, signaling a fundamental shift in regulatory appetite for new bank formation.
The narrative around this development has been uniformly positive. Regulators frame it as healthy competition and innovation. Industry observers celebrate the return to charter normalcy. Michele Alt from Klaros Group expects at least 25 de novo applications in 2026, suggesting the trend is accelerating rather than plateauing.
But there’s a critical risk that community bank technology leaders and fintech startup founders aren’t adequately considering: the infrastructure competition dynamic that emerges when well-capitalized new entrants build modern technology stacks from scratch while established institutions carry legacy system debt.
The Risk Nobody Is Talking About
The real threat isn’t the new banks themselves—it’s their technology starting point. When PayPal seeks an industrial loan company charter or when fintech Mercury pursues traditional banking status, they’re not inheriting decades of core banking system limitations, compliance patches, or integration complexity.
Community banks face a “buyer universe disappears or changes drastically” scenario, as Kirk Hovde from Hovde Group noted about the M&A landscape. But the technology competition follows a similar pattern. While established banks spend significant portions of their technology budgets maintaining and patching legacy systems, de novo institutions allocate 100% of their infrastructure investment toward modern, cloud-native solutions.
According to Banking Dive, AI tools double their capability roughly every 100 days. McKinsey estimated AI could drive up to 20% in net cost reductions for banks. New charter recipients can architect their entire technology stack around current AI capabilities, while community banks must figure out how to retrofit AI into systems designed before machine learning was commercially viable.
The most vulnerable institutions are community banks with $1-10 billion in assets—large enough to face regulatory technology requirements but small enough that major infrastructure overhauls represent existential budget decisions rather than quarterly line items.
How New Charters Change the Technology Competition Landscape
The charter approval pattern reveals something significant about regulatory expectations. The conditional approval of six applicants suggests regulators are not just allowing new banks—they’re actively encouraging them. This represents a policy shift toward competition through new market entrants rather than just consolidation among existing players.
For community bank CTOs, this creates a resource allocation dilemma. Traditional competitive responses involved matching product features or service levels. Technology competition is different because it compounds over time. A new bank that launches with a modern data architecture can implement new capabilities exponentially faster than institutions running analytics queries against mainframe-connected databases.
The fintech-to-bank charter pipeline makes this particularly acute. Companies like Mercury already have modern software development practices, API-first architectures, and cloud-native operations. They’re not learning banking technology—they’re applying banking regulations to technology they already understand.
Meanwhile, community banks face what Banking Dive describes as “mounting tech costs” alongside succession issues and consolidation pressure. The technology investment required to remain competitive increases precisely when other business pressures make large capital expenditures most difficult to justify.
Three Steps Community Bank CTOs Should Take This Quarter
First, conduct an honest assessment of your core banking system’s API capabilities. If your primary system vendor doesn’t offer comprehensive APIs for account management, payment processing, and customer data access, you’re operating at a structural disadvantage against institutions built on modern banking-as-a-service platforms. Document the specific integration limitations that slow down new product launches or require manual processes.
Second, evaluate your data architecture’s ability to support real-time analytics and AI model deployment. According to Banking Dive, Goldman Sachs CEO David Solomon said AI implementation “doesn’t mean we will have less people” but creates “an opportunity to have more valuable people doing more valuable things.” Community banks can realize similar productivity gains, but only if their data infrastructure supports modern analytics tools.
Third, establish a relationship with at least one banking-as-a-service provider or core system alternative, even if you’re not ready to migrate. Understanding your options and migration costs before competitive pressure intensifies gives you negotiating leverage with your current vendor and realistic timelines if circumstances change.
Common Mistakes Community Banks Make When Evaluating Technology Competition
The most frequent error is assuming customer relationships provide sufficient competitive protection. While relationship banking remains important, technology increasingly determines which institutions can offer the digital experiences customers expect. A community bank that takes three weeks to approve a business loan will lose to a de novo institution that provides approval in three hours, regardless of relationship history.
Another mistake is waiting for vendor solutions rather than exploring direct technology partnerships. Large core banking vendors move slowly and prioritize their biggest customers. Community banks that wait for their primary vendor to match fintech capabilities often find themselves years behind the competitive curve.
Finally, many community banks underestimate the customer acquisition advantages that modern technology provides to new entrants. Digital-first banks can acquire customers nationally rather than just locally, creating scale advantages that weren’t possible for previous generations of community bank competitors.
Bottom Line for Community Bank CTOs
The de novo charter trend isn’t just about new competition—it’s about new competitors with fundamentally different cost structures and capability development timelines. Your institution’s technology decisions over the next 18 months will determine whether you can compete effectively with banks that start with modern infrastructure advantages. The window for proactive technology investment is narrowing faster than the consolidation timeline suggests.
Key Takeaways
- 18 de novo charter applications in 2025 represent well-capitalized competitors building modern technology stacks without legacy system constraints
- Community banks with $1-10 billion in assets face the highest risk from technology competition because they lack both the simplicity of smaller institutions and the resources of larger ones
- Immediate action items include assessing API capabilities, evaluating data architecture for AI readiness, and establishing relationships with alternative core system providers
The question isn’t whether new charter recipients will compete with community banks, but whether community banks will have the technology infrastructure to compete back. What specific technology limitation is currently slowing down your institution’s ability to launch new products or services?
Source: Banking Dive
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