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KPMG catches nearly a third of execs struggle to understand costs as firms rethink deployments
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Nearly a third of corporate leaders report difficulty understanding and controlling operating costs when implementing business AI at scale, according to a survey from KPMG.
Key facts
- Last month, research outfit GPTZero claimed a forensic review of KPMG's October 2025 report, "Total Experience: Redefining Excellence in the Age of Agentic AI," found that only five of its 45
- Amazon plans capital expenditure of around $200 billion this year, largely to provide capacity for AI in its AWS datacenters, an increase of 50 percent on a year earlier
- Amazon has announced a $1 billion investment in an AWS Forward Deployed Engineering organization help customers adopt AI agents and reduce timelines for deployment
- The survey of 2,145 senior leaders across 20 countries found that 29 percent struggle to understand their operating costs as they scale their enterprise AI deployments
Summary
KPMG finds nearly a third of execs struggle to understand costs as companies rethink deployments. In recent months, Anthropic, OpenAI, and GitHub have shifted some services away from flat-rate subscriptions toward usage-based billing. "As usage-based pricing models become more common, many organizations are still building the capabilities required to forecast, monitor, and manage AI spending effectively," KPMG said. The survey of 2,145 senior leaders across 20 countries found that 29 percent struggle to understand their operating costs as they scale their enterprise AI deployments.