Nvidia's Massive Deal Volume Renews Scrutiny of Circular AI Economics
Nvidia's position at the center of the AI infrastructure boom continues to attract regulatory and market scrutiny. Reports of the chipmaker's substantial deal volumes have reignited debates about so-called "circular AI"—a term describing interdependencies where AI companies purchase computing resources, cloud credits, or services from each other in ways that can amplify revenue figures without necessarily corresponding to proportional real-world value.
The concern centers on how these circular transactions may inflate economic metrics within the AI sector. When AI firms buy GPU time, cloud services, or model inference credits from one another, those exchanges count as revenue on both sides of the ledger. Critics argue this creates a form of circular economy where money moves within a closed loop of AI companies rather than flowing to traditional economic endpoints.
Nvidia, as the dominant supplier of the GPUs that power most AI training and inference workloads, sits at the nexus of these transactions. Its deal-making with cloud providers, AI startups, and enterprise customers shapes the flow of capital throughout the ecosystem. The sheer scale of these arrangements—reportedly reaching into the hundreds of billions—has brought renewed attention to how the industry's growth metrics should be interpreted.
Industry observers note that some level of inter-company purchasing is inherent to any complex technology supply chain. However, the pace of AI adoption and the concentration of key suppliers have amplified concerns that investors and regulators may be getting an incomplete picture of where value is actually being created.