Pegasystems uses FinOps foundation to navigate the unpredictable economics of AI
As AI spending surges, organizations are expanding their focus from AI cost optimization to value measurement. The trend is driving demand for deeper visibility into how AI investments impact productivity and business performance.
One of the biggest changes AI introduced was unpredictability, as usage and costs can scale far beyond the patterns typically seen in traditional cloud environments. That volatility has forced organizations to rethink how they track and manage AI spending as adoption grows, according to Hunter Harris (pictured), director of cloud FinOps at Pegasystems Inc.
“AI can more or less scale infinitely until the CSP runs out of capacity. We haven’t had any runaway like that, but the only thing that’s predictable is that it has been very unpredictable in many ways,” Harris said. “So with us, a lot of it was like, how do we classify our AI spend? Where is it going? Is it for internal productivity? Is it for our customers and products that we’re building? Is it experimentation? We had to put it through that lens.”
Harris spoke with theCUBE’s John Furrier and Paul Nashawaty at the FinOps X 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the growing challenge of AI cost optimization and the importance of connecting technology spending to measurable business value. (* Disclosure below.)
