Only 11% of Enterprises Forecast AI Costs Within 10% Accuracy, Trace3 Says

• Trace3’s AI cost analysis highlights forecasting gaps threatening profitability, drawing on Mavvrik and Benchmarkit’s survey of 396 enterprises conducted April-May 2026.
• Despite 98% tracking AI infrastructure costs, only 11% forecast spending within ±10%, down from 15% in 2025.
• Gross-margin impacts were moderate to high for 81% of respondents; 49% were forced to reprice an AI product.
• Agentic workloads run at 98% of organizations, but only 36% include them in cost reporting, leaving substantial spending visibility gaps.
• The analysis prioritizes extending cost coverage beyond cloud billing before improving forecasting, attribution or return-on-investment measurement.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Trace3 Government LLC published the original content used to generate this news brief on October 22, 2026, and is solely responsible for the information contained therein.