K-38 Consulting Says AI Adoption Is Shifting SaaS Cost Structures

What changed

K-38 Consulting says AI adoption is changing SaaS cost structures because inference expenses add higher variable costs to AI-driven products. That makes customer-level profitability harder to measure and predict, while the firm recommends separating AI-related cost analysis from traditional SaaS accounting.

Why it matters

For CFOs, the key shift is simple: an AI feature can keep generating costs each time a customer uses it. A product that once looked comfortably profitable on a subscription basis may now have a less stable cost profile.

That complicates pricing, forecasting and decisions about which customers or features are truly making money. K-38 Consulting’s recommendation to separate AI costs gives finance teams a clearer way to see whether inference spending is changing margins, rather than burying it inside broader operating expenses.

The size of the effect remains unclear. No margin figures, company examples or adoption data were provided.