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AI & Innovation

The AI Staffing Gap Nobody Scopes (Until It’s Too Late)

January 13, 2026

Most banks and credit unions under $10 billion are buying AI they cannot staff. I have watched it happen from the inside, more than once, and the pattern never changes.

The pitch is always the same. This platform will transform your data. So they sign. Snowflake, maybe Databricks, a BI tool, perhaps a Copilot license. The contract is impressive. The demo was beautiful. The board is satisfied that the institution is investing in AI.

Then the implementation lands on a team of two. One of whom also runs the CRM. And the member surveys. And the board reporting.

Nobody asked the only question that matters: who runs this on a Tuesday afternoon in February?

The tool is not the problem. The tools are genuinely good. The gap is that capability is not a purchase. Capability is people plus process plus platform. Buy the platform, skip the other two, and you have bought a very expensive dashboard nobody trusts.

I have seen the aftermath. The platform sits half-implemented. The one person who understood it leaves. The license renews automatically because canceling it would mean admitting the project failed. Meanwhile the actual decisions still get made on gut feel and a spreadsheet someone keeps on their desktop.

What I tell leaders before they sign

The institutions that get AI right are not the ones with the fanciest stack. They are the ones honest enough to admit that buying the tool was the easy 10 percent, and the staffing, the process, and the trust are the other 90.

Before you sign, name the person. If you cannot, you already have your answer.

Maria Laverghetta
Maria Laverghetta
Chief Data Intelligence Officer