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AI adoption stalls as inferencing costs confound cloud users Broader AI adoption by enterprise customers is being hindered by the complexity of trying to forecast inferencing costs amid a fear being saddled with excessive bills for cloud services Or so says market watcher Canalys, which today published stats that show businesses spent $90 9 billion globally
Enterprise AI Adoption Stalls As Inferencing Costs Confound . . . According to market analyst firm Canalys, enterprise adoption of AI is slowing due to unpredictable and often high costs associated with model inferencing in the cloud Despite strong growth in cloud infrastructure spending, businesses are increasingly scrutinizing cost-efficiency, with some opting for alternatives to public cloud providers as
AI adoption drives ‘unmanageable’ spike in cloud costs AI adoption is contributing to a spike in cloud costs for most enterprises, according to a report by Tangoe The technology expense management solution provider commissioned Vanson Bourne to survey 500 IT and finance professionals responsible for enterprise cloud cost management
Cloud Providers, Enterprises Struggle to Keep Up with AI Costs Major cloud providers are currently grappling with the massive cost of building the proper data center infrastructure to keep up with power-hungry AI development in the hope that adoption of the tech marches on
The State Of AI Costs In 2025 | CloudZero As AI adoption grows, managing costs is becoming more complex Cloud computing, model training, and AI applications can drive expenses up quickly, requiring more than simply tracking spend Yet, for many organizations, accurately tracking these costs and evaluating AI return on investment (ROI) remains a major challenge