Community Banks Are Losing the Lending Race. Here's How to Catch Up.
In 2018, banks originated 42.5% of all mortgages in the United States. By 2024, that number had fallen to 30.1%. Non-bank lenders — fintechs, independent mortgage companies, and digital-first platforms — now close more than half of all home loans, at 53.3% and climbing, according to the NCRC Mortgage Market Report and FDIC data.
This isn't a blip. It's a structural shift that has been accelerating for six years, and it's not limited to mortgages. Community banks' share of small business lending has been cut in half over two decades, falling from 24% to 12%, according to the Kansas City Fed. Fintech small business loan applications grew from 17% to 29% between 2020 and 2025.
Community banks aren't losing because of bad service. They're losing because the speed of their lending process no longer matches the speed their borrowers expect.
The Scale of the Problem
The numbers paint a clear picture of an industry in retreat.
Community banks hold 97% of all bank charters in the United States but control only 14% of total deposits, according to the FDIC. In 2024, 44% of new checking accounts were opened at fintechs or neobanks — not at traditional banks of any size.
The generational pipeline is worse. Fifty-four percent of Gen Z rely primarily on non-traditional financial providers, according to a 2024 study from Cornerstone Advisors. Only 14% of Gen Z trust traditional banks "a lot." Sixty-one percent switched banks in the past two years.
These aren't borrowers who are hostile to community banks. Most of them have never walked into one. By the time they need a mortgage or a business line of credit, their financial life already lives on a platform that processes requests in minutes — not weeks.
Why Fintechs Are Winning (It's Not Magic)
The fintech advantage isn't some proprietary algorithm or billion-dollar AI system. It's automated data aggregation applied to a process that banks still run manually.
When a borrower applies for a HELOC through Figure, here's what happens: they enter basic information, connect their bank account, verify their identity digitally, and receive an approval in 5 minutes. Funding follows in 5 days. No scanning. No faxing. No branch visit. No 42-day timeline.
Behind the scenes, Figure is pulling the same types of data that a community bank loan officer collects by hand — income, assets, employment, identity, property value. The difference is that Figure pulls it programmatically from data providers in real time, cross-references it automatically, and renders an underwriting decision without a human touching a piece of paper.
Better.com does the same for mortgages, issuing commitment letters in 24 hours. Their HELOC volume grew 416% year-over-year in Q4 2024. Rocket Mortgage closes 2.5x faster than the industry average, with initial approval in 8 minutes. Upstart makes personal loan decisions in seconds, with 91% of loans fully automated.
None of these companies invented new financial products. They automated the verification layer that sits between application and decision — and that's where all the time goes in a traditional lending process.
The Cost Gap That's Killing Competitiveness
The financial impact of this technology gap is stark.
Figure originates loans at a cost of $730 each. The industry average, according to the MBA, is $11,230. That is a 15x cost advantage — not because Figure pays its employees less or cuts corners on compliance, but because automation eliminates the manual labor that drives origination cost.
Figure generated $340.9 million in net revenue in 2024, up 62.7% year-over-year, and IPO'd at a $5.29 billion valuation. That valuation wasn't built on a better marketing campaign. It was built on a cost structure that traditional lenders cannot match with manual processes.
At the MBA's reported average of $11,094 per mortgage origination and $785 in profit per loan, community banks are running on a 7% margin for a process that takes six weeks. Figure runs on a fraction of the cost with a process that takes days. The math is not subtle.
When origination costs have risen 35% over the past three years, according to Plaid, and the competitive set is operating at a fraction of that cost, the pressure compounds. Every quarter that passes without closing the gap makes the next quarter harder.
The Technology Gap Is Not About Budget
The instinctive response from most community bank leadership is: "We can't compete with Rocket's technology budget." That's true — and also irrelevant.
Rocket spent years and hundreds of millions building a proprietary loan origination system. Figure built on blockchain infrastructure (though their SEC filing quietly notes their LOS "does not rely on the use of blockchain technology" — the speed comes from automated data aggregation, not distributed ledgers). Better.com rebuilt the mortgage stack from the ground up.
Community banks don't need to replicate any of those builds. The competitive advantage these fintechs share isn't a single piece of proprietary technology. It's the fact that they automated the verification and data collection layer — the part of the lending process that consumes 70% to 80% of the elapsed time in a traditional origination.
That layer is now available as infrastructure. The same data providers that power Figure's 5-minute approval — Plaid for financial data, identity verification services, employment verification APIs, property data feeds — are accessible to any lender willing to integrate them.
The question for community banks is not whether to build a billion-dollar technology platform. It's whether to keep collecting pay stubs by email while competitors pull the same data programmatically in seconds.
The Opportunity Hiding in the Data
Here is the number that should give every community banker hope: 70% of small businesses say they prefer to bank with a community institution, according to Federal Reserve small business survey data.
Seventy percent. But only 31% actually do.
That gap — between preference and behavior — is the entire opportunity. Small business owners want the relationship, the local knowledge, the flexibility, and the human judgment that community banks provide. They switch to fintechs anyway because they need speed, because they can't wait 60 to 90 days for an SBA loan decision, and because a Kabbage or OnDeck approval comes in 7 to 10 minutes while a community bank is still requesting two years of tax returns.
The same dynamic plays out in consumer lending. Borrowers don't leave community banks because they dislike them. They leave because someone else gave them an answer faster. According to J.D. Power, 48% of consumers who experience digital friction in a financial interaction take their business to a competitor.
Community banks don't have a demand problem. They have a speed problem. And speed, unlike brand affinity or market presence, is a solvable engineering challenge.
What Community Banks Can Do Today
Closing the technology gap doesn't require a multi-year digital transformation initiative or an eight-figure contract with a core processor. It requires automating the specific bottleneck — verification and data collection — that accounts for most of the time difference between a fintech close and a community bank close.
Practically, that means:
Automated income and asset verification. Instead of requesting pay stubs and bank statements, pull them directly through consumer-permissioned data connections. This alone can cut days or weeks from the process.
Real-time identity and fraud screening. Instead of manual KYC reviews that take hours per applicant, run automated checks against identity databases and watchlists in seconds.
Digital employment verification. Instead of calling employers and waiting for HR to return a fax, query employment verification databases that return results immediately.
Automated property data. Instead of ordering appraisals and waiting for scheduling, pull automated valuation models and property records for preliminary underwriting.
Each of these capabilities exists as a standalone service. The challenge for community banks has been integrating them into a coherent workflow without a dedicated engineering team.
How RAVEN Bridges the Gap
RAVEN was built to solve exactly this problem. It is a verification platform designed for community banks — not a core replacement, not a loan origination system, and not an 18-month implementation project.
A loan officer sends one link to a borrower. The borrower opens it on any device, enters their information, and connects their financial accounts. In under 5 minutes, the bank receives a complete verification report: identity and fraud screening from Socure, financial accounts and income from Plaid, employment verification from Truework, and property data from ATTOM and Melissa.
Every data point is cross-referenced across sources. When Plaid-reported income matches Truework-verified salary, confidence goes up. When they don't match, the discrepancy is flagged before the file reaches the loan committee. The full audit trail is examiner-ready from day one.
The result is a community bank that underwrites with the same speed and data quality as a fintech — but retains the relationship, local expertise, and borrower trust that no algorithm can replicate.
Figure proved that a $730 cost-per-loan is achievable with the right verification infrastructure. RAVEN brings that same infrastructure to banks that don't have Figure's engineering team, Rocket's technology budget, or Better's venture capital.
Community banks have something fintechs cannot build: decades of trust, local market knowledge, and borrower relationships that run deeper than a mobile app. What they've been missing is the speed to match. That gap is closable — and the banks that close it first will be the ones that stop losing the lending race.
Request a demo at reportraven.tech.