Multimodal Publishes AI Budget Report for Credit Unions 2026-27 to Help Boards Size AI Spending Against Labor Cost

Survey of ten credit union leaders finds nine of ten have been quoted usage-based AI pricing, and nine of ten have folded AI into a broader technology line

NEW YORK, Oct. 14, 2026: Multimodal, the agentic AI platform for credit unions and community banks, has released the AI Budget Report for Credit Unions 2026-27, a budget-season briefing for credit union CFOs, COOs and boards on what agentic AI actually costs: how to size the line item against the work it replaces, what to ask every vendor before signing, and what to cut to fund it.

Credit unions begin assembling 2027 budgets in September, and for the first time most of them are being asked to put a real number on artificial intelligence. AI is now the number-one planned technology investment at financial institutions, named by 48% of institutions surveyed, ahead of digital banking at 38% and data analytics at 32%. Eighty-eight percent expect to raise technology budgets over the next two years, up from 76% a year ago. Yet no benchmark tells a credit union what to put on the line, because the NCUA 5300, the standardized quarterly financial report every federally insured credit union must file, has no technology expense account.

Technology spend is split between Office Operations and Professional and Outside Services, two accounts that also carry stationery, insurance and audit fees, so the report treats their combined total as a ceiling and not a technology budget. It adds that any percentage-of-assets AI benchmark circulating without a named primary source should be treated as invented.

The report sizes the AI line against labor cost instead. Compensation and benefits totaled $41.1 billion annualized in Q2 2026, 52.8% of all non-interest expense, growing 7.9% against 5.0% asset growth. In the report's modeled scenarios, a $300,000 AI line equals 7.3% of the compensation line at a $250 million credit union and 1.8% at a $1 billion credit union.

The report draws on a survey of ten credit union leaders, fielded August 31 to September 4, 2026, and on-the-record answers from credit union executives to one question: the hardest question they expect when they take an AI number to their board. The report states that ten responses are not a benchmark, and that all ten respondents are credit unions with more than $1 billion in assets. Key findings:

- Every respondent includes AI in the 2027 budget, but nine of the ten have folded it into a broader technology line, and one has a named, separate AI line.

- Eight of the ten have set a figure, and all eight fall between $50,000 and $500,000. Four fall between $150,000 and $300,000, and two have not set a number yet.

- Nine respondents have reached pricing discussions, and all nine were quoted usage-based pricing, which makes the AI line the only genuinely variable item in a 2027 budget.

- Proving a return is the top worry, named by three respondents. Two cited unforecastable usage costs.

- Six of the ten add new money to the budget and also fund AI elsewhere, mainly by renegotiating contracts (five), reallocating headcount (four), and consolidating point solutions and cutting subscriptions (three each).

- Half want proof within six months: three want a measurable result within one quarter and two within six months.

The report includes twelve questions to ask every vendor before budgeting, grouped by cost, integration, evidence and control, and usage and deployment. It proposes a standard of one workflow live in two to six weeks.

"We don't need to spend millions to give employees access to AI. The investment is about putting AI into the operating fabric of the credit union. And doing so securely, governed, connected to our data, integrated into workflows, and focused on the highest-value member and employee use cases. The cost of waiting is beginning to exceed the cost of acting." Courtney Rowan, Senior Vice President and Chief Digital and Transformation Officer, Citadel Credit Union

"Perhaps the most difficult question is always defining the ROI timeline more than the ROI itself. Our experience so far has been that sometimes the ROI is quicker and sometimes it takes longer because there is an even bigger return if we expand the scope than when we first started the project." Andy Mattingly, Chief Operating Officer, FORUM Credit Union

The report also cites FORUM Credit Union's published results: 99% document classification accuracy and 99% data extraction precision across 47-plus fields.

The AI Budget Report for Credit Unions 2026-27 is free to download at https://www.multimodal.dev/ai-budget-report-for-credit-unions.

About Multimodal

Multimodal builds AgentFlow, an agentic AI platform for credit unions and community banks. Learn more at http://multimodal.dev.