It’s Nearly Impossible to Budget for AI Spending

AI initiatives are proving difficult to budget because costs can swing quickly based on model choice, usage patterns, infrastructure demand, and experimentation at scale. For CIOs, this means AI should be managed less like a fixed software purchase and more like a variable operating expense that requires tighter governance, continuous monitoring, and financial controls. IT organizations will need stronger FinOps practices, clearer ownership, and staged investment models to avoid overspending while still supporting innovation.