The hidden network cost of going all-in on AI
Business cases for AI usually focus on GPUs, models, and cloud compute. They often treat networking as background infrastructure that will somehow handle the load. However, as AI shifts from pilot projects to production, this assumption is proving to be costly.
The reason is simple, as AI models and autonomous agents constantly exchange data across cloud environments, enterprise applications, APIs, and edge locations, creating traffic patterns that traditional enterprise networks were never designed to handle.
As AI investment increases, so does the bill. IDC data shows AI infrastructure spending reached $89.9 billion in the fourth quarter of 2025 alone and is projected to approach $1 trillion by 2029. Networking is one of the fastest-growing items in that spending.
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