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Financial Democracy

Small Credit Unions Can’t Afford AI. So Stop Buying It Alone.

June 24, 2025

A $400 million credit union cannot staff a data science team. It cannot afford a full Snowflake build, a governance lead, and three analysts. So it does one of two things: it buys a tool it cannot operate, or it opts out of the AI era entirely and hopes nobody notices.

Both are losing strategies. There is a third option, and it is the most cooperative idea in banking that almost nobody is using.

Pool the capability.

Here is the math nobody runs. Fifteen credit unions under $1 billion each spend, conservatively, $150,000 a year trying to do data work badly: a half-built platform, a stretched-thin analyst, a BI license collecting dust. That is over $2 million a year buying fifteen mediocre outcomes.

Combine that spend and you can fund a real shared analytics function. One platform. One team that knows what it is doing. One governance model. Fifteen institutions getting capability none of them could buy alone.

This is not a radical idea. It is the founding idea. Credit unions exist because individuals pooled resources to get access to credit they could not get alone. The shared analytics model is the same move, one layer up. Institutions pooling resources to get access to intelligence they cannot build alone.

The objections, answered

The banks consolidated to get scale. Fintechs raised hundreds of millions to get scale. Credit unions have a structure built for exactly this kind of cooperation and have mostly refused to use it for the one capability that now determines who survives.

The institutions that figure this out will not just survive the AI shift. They will prove the cooperative model still works, at the exact moment everyone assumed it was dead.

You do not need to win the AI arms race alone. You were never supposed to do anything alone. That was the whole point.

Maria Laverghetta
Maria Laverghetta
Chief Data Intelligence Officer