For years, Internet traffic exploded due to streaming, social media, and the Cloud. But now, a whole new player is changing the game: AI.
Major companies are laying off hundreds, even thousands of employees in favor of artificial intelligence. The message behind these decisions isn’t framed around cost-cutting, but rather around reorganization centered on agentic AI.
From engineering to HR, finance, and marketing, thousands of sessions with AI agents are launched every day. Tasks that once mobilized entire teams are now automated.
What this transformation conceals behind the HR announcements is a technical reality: AI generates a lot of traffic. Requests, inferences, massive data exchanges between models, servers, and end users.
The more AI integrates into companies’ daily workflows, the more this traffic grows in volume, frequency, and latency requirements.
Streaming traffic was predictable and tolerant of a few milliseconds of latency. Agentic AI traffic, on the other hand, is transactional, real-time, and sensitive to the slightest performance degradation. It’s not the same traffic, and it doesn’t require the same infrastructure.
The explosion of AI traffic is only just beginning and it raises a simple question for any organization exposed to it: is your network infrastructure sized to absorb what AI will generate over the next 18 months?
Routing part of the traffic through peering (with France-IX for example 😉) helps distribute these flows that are set to grow exponentially.
Why peering?
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