Most companies are flying blind on AI spending

The business move

A KPMG survey found only 26 percent of companies have full visibility into their AI spending. Most businesses are essentially flying blind when it comes to tracking and managing costs tied to AI adoption. This includes cloud infrastructure, data labeling, model licensing, and ongoing compute expenses. The low transparency indicates many firms lack centralized accounting or governance for AI investments.

Why it matters

Without clear insight into AI spend, companies risk budget overruns and inefficient resource allocation. AI costs can balloon unexpectedly if infrastructure use is poorly monitored or models require costly tuning. Lack of spending visibility also weakens a company’s ability to measure AI’s return on investment or justify continued funding. This financial opacity pressures CFOs and CIOs to demand better cost controls and governance.

Who gains and who gets squeezed

Vendors providing AI infrastructure and managed services may push higher fees as customers struggle to track spending. This can squeeze smaller companies or departments with less financial discipline. Conversely, companies that build clear AI cost tracking gain a strategic advantage by optimizing investments and identifying waste. Investors should weigh how well startups and enterprises govern their AI expenses, as that discipline affects scalability and profitability.

What to watch next

Expect more tools and dashboards focused on AI cost transparency and management. CFOs will increasingly press tech teams to implement reporting standards for AI expenses. Watch for new best practices around tagging AI resources and integrating AI spend into traditional budget workflows. Companies that tame their AI budgets early will face less risk of cost shocks as AI adoption grows.

AI Quick Briefs Editorial Desk