AI adoption is contributing to a spike in cloud costs for most enterprises, according to a report by Tangoe. The technology expense management solution provider surveyed 500 IT and finance professionals responsible for enterprise cloud cost management. 

Enterprise cloud costs rose an average of 30% in the last year, respondents said. Spending on AI applications and generative AI specifically were cited as top drivers for growing cloud spend by half of respondents. 

Nearly three-quarters of respondents said the AI boom has made cloud bills “unmanageable,” the report found. “The cloud’s hidden costs and unpredictable invoices can become the silent killer of GenAI,” Chris Ortbals, chief product officer at Tangoe, said in a news release. 

Hyperscalers spurred enterprise adoption of generative AI and IT budgets are feeling the crunch. As companies double down on hybrid cloud to power large language model technologies, they are struggling to keep cloud bills in check. 

“The price-per-unit for what you need to run AI is higher,” Ortbals commented. “You’re running GPUs and TPUs — it’s not just a typical EC2 unit on AWS.” 

More than 9 in 10 respondents reported climbing cloud bills in the last year, due in part to AI applications and automation tools. Roughly the same proportion said their FinOps cloud expense management practices need to include AI and other software services in addition to infrastructure. 

The move to bring SaaS under the FinOps umbrella got a boost when the FinOps Foundation broadened the scope of the practice to encompass service-based applications and other cloud-based software solutions in February. IT asset managers joined FinOps efforts at roughly one-third of enterprises to help tame rising software audit costs, according to a midyear Flexera report. 

AI has also upped the ante on shadow IT, a prime target area for FinOps-driven cost optimization. 

Software procurements that escape the watchful eye of IT comprise more than one-third of SaaS costs, respondents to Tangoe’s study said. Two-thirds of companies uncovered wasted spend in productivity software, and category vendors like Microsoft have infused with LLM agents, coding assistants and other generative AI tools.