AI Was Supposed to Save Companies Money. Instead, It's Blowing Up Budgets (www.inc.com)

A recent KPMG report reveals that many executives are shocked by the rising costs associated with AI, contradicting the common belief that AI investments would lead to significant cost savings. The shift from fixed pricing to a usage-based model by AI companies has left many businesses unprepared, with around one-third of executives admitting to a limited understanding of these costs. This change comes alongside soaring compute expenses, compelling organizations to reassess both their financial management and technological strategies. The implications for the AI/ML community are profound, as businesses inadequately equipped to manage these expenses risk overspending without realizing the potential benefits of AI solutions. KPMG’s global head of advisory emphasizes the need for strong oversight and cost visibility to translate AI investments into tangible value. Notable examples include Uber exhausting its 2026 AI budget in just four months and another unnamed company incurring $500 million in AI costs within a month, underscoring a critical need for businesses to be more strategic in their AI deployments and fiscal planning.