New research shows that businesses are struggling to forecast AI costs, with more than half missing targets by 11–25% and nearly one in four missing by over 50%.
CFO Dive’s Alexi Alexis reports on the risk of significant cost overruns as AI pilots move into production in 2026, with 84% of companies already seeing margin erosion linked to AI spend.
Click here to read the full story on Revenue Brew: https://www.revenuebrew.com/stories/2025/09/16/companies-lack-forecasting-ai
Google Cloud Next 2026 confirmed that AI is no longer experimental infrastructure. As agentic AI adoption accelerates, enterprises are facing new cost challenges tied to token usage, distributed services, cross-cloud architectures, and continuous inference workloads.
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AI cost visibility breaks down when spend is forced into the same monthly reporting model used for cloud infrastructure. This guide covers how to fix it.
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