Credit Unions Have a Technology Buying Problem. The Cooperative Model Could Fix It.
A $300 million credit union and a $30 billion credit union often buy technology from the same companies
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- Written by Shyam Pradheep
A $300 million credit union and a $30 billion credit union often buy technology from the same companies. They do not walk into those negotiations with anything close to the same leverage.
That asymmetry came up repeatedly in a faculty-sponsored independent study I conducted at Stanford Graduate School of Business, where I interviewed 46 credit union executives at institutions ranging from $47 million to $30 billion in assets, roughly $168 billion combined. They disagreed about AI, stablecoins, and how urgently the model must change. On technology vendors, the picture was strikingly consistent: the institutions most dependent on outside providers are frequently the ones least able to influence pricing, roadmaps, or contract terms.
That usually gets called a vendor problem. It is more accurately a purchasing-power problem, and credit unions already own the mechanism for solving it.
The paradox of vendor reliance
Among the executives asked, 85% said they were comfortable relying on vendors. The interviews sounded nothing like that number. Executives described long contracts, drawn-out implementations, revenue shares, switching costs, rigid roadmaps and pricing plainly built for institutions several times their size. The sharpest language in the study appeared in conversations about technology providers.
The contradiction resolves once "comfortable relying" is read correctly. A $200 million credit union is not weighing whether to buy a core platform or build one; it is deciding which provider to depend on. The question was never whether to rely on vendors. It is how to make that reliance work economically, and thousands of credit unions try to answer that one institution at a time.
What weak leverage produces
One executive described a credit union that had stayed with the same legacy core for 26 years, and not because anyone liked the product. Integrations depended on the core, workflows depended on those integrations, and years of other vendors sat layered on top. Replacing it would have meant replacing far more than one piece of software.
That is what accumulates when a buyer cannot credibly leave. The switching cost stops being a line item and becomes architectural, compounding with every integration layered on top. A large institution can absorb that. It can staff vendor management, run a competitive procurement, and bring enough revenue that a provider takes the threat of departure seriously. A $200 million credit union may have a technology team of three, a contract that feels enormous internally and rounds to nothing on the vendor's books, and a core conversion that would consume years of capacity. It has a nominal choice among vendors and very little leverage over any of them.
One CEO in the research responded by forming a CUSO with peers, because vendor pricing had arrived sized for credit unions several times larger. If the problem is insufficient individual scale, the remedy does not have to be institutional consolidation. It can be purchasing consolidation.
Credit unions already know how to pool power
The cooperative model rests on a simple idea: buyers who lack leverage alone can manufacture it together. Credit unions apply that principle to consumers, and far less consistently when they are the buyers.
The exceptions show what is possible. One credit union in the research joined peers in a club securitization covering hundreds of millions of dollars of auto loans, and industry investment vehicles have pooled capital to back fintech collectively. Each is the same mechanism: scale assembled without ownership consolidated.
Applied to procurement, it could mean 30 credit unions negotiating one contractual framework for a category of software rather than 30 separate agreements. It does not require identical technology.
Price is also the least of what is negotiable. A provider serving hundreds of institutions rations delivery resources, and one small credit union has little say in when its implementation happens; a consortium of 20 sits differently in that queue. One $300 million credit union asking for a feature is a request; 20 asking for the same capability is a market signal.
Why it does not already happen
The institutions needing collective leverage most are least equipped to organize it. A small credit union may lack the staff to seat on another consortium, technology environments differ, and competitive instincts run stronger than the cooperative branding suggests.
Contract timing is the obstacle most easily fixed. Renewal is the narrow window in which leverage is real, because before signature terms are negotiable and afterward the same request becomes a change order with a price attached. Credit unions with staggered, undocumented renewal dates cannot coordinate even when they want to. Keeping an inventory of major contracts and their expiration dates, then comparing that calendar with peers, is unglamorous work that turns cooperative intent into something a vendor must answer.
The independence objection is more legitimate, and easier to resolve. Collective leverage does not require collective decision-making. A group can negotiate common terms without agreeing on one technology strategy, share vendor intelligence without sharing member data, and set portability standards while each participant selects a different product. Technology strategy should stay institutional. Purchasing strategy does not have to.
Where to start
Leagues and CUSOs can act without a new charter. Build shared vendor scorecards so institutions stop repeating identical diligence. Standardize expectations on data portability, termination, and service levels instead of reinventing them across hundreds of negotiations. Aggregate purchasing where volume actually moves vendor economics. Share implementation intelligence, since what happens after signing is more informative than the sales process before it. And where providers cannot meet the industry's needs, use collective capital to fund alternatives.
Credit unions spend enormous energy explaining why cooperation produces better economics for members. The same logic applies to them. A $300 million credit union will never negotiate like JPMorgan Chase, but 50 credit unions that size do not have to negotiate like 50 separate $300 million institutions.
The cooperative model already contains the answer to one of the industry's biggest structural disadvantages. The question is whether credit unions will use it on themselves.
Bio
Shyam Pradheep is co-founder and COO of FinRank. He conducted this research as a faculty-sponsored independent study at Stanford Graduate School of Business, advised by Raj Joshi. Before Stanford, he worked with more than 300 credit unions while building the financial literacy company Zogo.
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