The Honest Denominator
Compensation and benefits ran $41.1 billion in Q2 2026. A $150,000 to $500,000 AI line is 0.2% to 12.2% of that: a defensible board number.
2026–27 BUDGET REPORT
The AI Budget Report for Credit Unions
A budget-season briefing for credit union CFOs, COOs, and boards on what agentic AI actually costs, built on a survey of ten credit union leaders and public NCUA data, not a guess.
- The honest denominator: how to size an AI line against labor cost, not total assets
- Twelve questions to ask every vendor before you budget, and how to re-ask them of your incumbents
- What ten credit union leaders are actually spending, and where the funding comes from
- A cost-per-unit forecasting model with 2x and 3x volume scenarios
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88%
expect to raise technology budgets over the next two years
$41.1B
industry compensation and benefits spend, the real denominator behind every AI line
9 of 10
credit union leaders quoted usage-based AI pricing
Up to 70%
more loans processed without adding staff (FORUM Credit Union, via America's Credit Unions)
The number credit unions need before budget season closes
There is no NCUA benchmark for what a credit union should spend on AI in 2027. This report sizes the AI line against labor cost instead, using public NCUA data as the denominator.
The Vendor Playbook
Twelve questions, organized by cost, integration, evidence, and deployment, built to find real differences between similar vendors. Put question six, the uncomfortable one, to your incumbents too.
The Funding Plan
Four places to cut, ranked by how fast each releases cash. In the survey, renegotiating vendor contracts was the top funding source, five of ten.
What credit union leaders already know
Drawn from a survey of ten credit union leaders fielded August 31 to September 4, 2026, and public NCUA data.
There's no NCUA benchmark. The NCUA 5300 call report has no technology expense account, and most "peer average" AI-spend figures circulating online carry no named source at all.
Pricing has shifted to usage. Nine of ten surveyed leaders have been quoted usage- or consumption-based pricing, which makes the AI line the only genuinely variable item in a 2027 technology budget.
The AI line often has no name. Nine of ten fold it into a broader technology line item, which means the board approving that budget cannot see how much of it is AI.
New money rarely funds it on its own. Six of ten are adding new budget dollars, and all six are also funding AI elsewhere, most often by renegotiating existing vendor contracts.
Twelve questions find the real difference between vendors. Every vendor in this category builds on the same small set of frontier models; what separates one from another is the harness built around it.
A six-week proof beats a long pilot. Credit unions that measure one workflow in production, with a real cost per unit and a real outcome, build a more defensible number than those running open-ended trials.
The 2027 Budget Imperative
The pressure compounds on both sides of the AI line and shows up in the efficiency ratio the board already reviews.
$77.8B
industry non-interest expense, annualized, Q2 2026
70.79%
industry efficiency ratio, a 13-quarter high
2-6 wks
the standard to prove one workflow before scaling it
Where the AI line actually books, and what pays for it
Because the NCUA 5300 has no technology account, every line item ends up somewhere it does not obviously belong, and the money to fund a new one usually already exists in the budget.
Account 290
Professional and Outside Services
Core and platform run costs, outside processing, and AI consumption all sit here, and AI consumption moves with volume.
Account 260
Office Operations
Seat-based subscriptions and in-house processing fall under this category, alongside stationery, insurance, and audit fees.
Underused subscriptions
Score every SaaS line by actual utilization before adding a new one.
Overlapping point solutions
Duplicate fraud tooling or automation already built into digital banking.
Contracts past the renegotiation window
Build a renewal ladder for what expires in 2027 and 2028: the most common funding source in the survey, five of ten.
“I think the first question my leadership would ask is, ‘What’s the ROI?’ If I’m bringing forward a budget for AI investment, I believe they’ll want me to clearly demonstrate what we’re getting in return and how we’ll measure its impact.”
Ryan Marosy
Vice President of Marketing, Affinity Federal Credit Union
A complete, budget-ready analysis
Built strictly on public NCUA data and a survey of ten credit union leaders, not another round of unsourced benchmarks.
01
About the Report
Why 2027 is the first year most credit unions are asked to defend a real AI number.
02
Executive Summary
The problem, where the number hides, the honest denominator, and the 2027 shape.
03
Why the 2027 Budget Is Different
The pressure on both sides of the AI line, and what changed in the composition.
04
The Benchmark That Does Not Exist
Why the NCUA 5300 can't answer this question, and what to use instead.
05
The Honest Denominator
Sizing the AI line against the labor cost it touches, with scenarios by asset size.
06
What Ten Credit Unions Told Us
Real survey data on dollar brackets, pricing, funding sources, and proof timelines.
07
Why Your 2027 AI Line Is Variable
Usage pricing, the forecasting model, and what a cost-per-unit projection needs.
08
Twelve Questions to Ask Every Vendor
Organized by cost, integration, evidence, and deployment.
09
What Belongs on the Line, and Prove It in Weeks, Not Quarters
Where costs actually book, four funding levers, and the six-week proof standard.
Full Audit Trails
Auditable, explainable AI decisions for examiner review
Public NCUA Data
Every benchmark sourced to a named primary source, not an invented average
Ten Credit Union Leaders
Real survey data, fielded August to September 2026
Get the number your board can approve
Join the CFOs, COOs, and boards using this report to defend a real 2027 AI line, complete with vendor questions, funding sources, and the forecasting model to argue against it.