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There is such a profound shift occurring in the way that Agents alter our infrastructure requirements.
We are entering a networking supercycle. It’s not because humans are consuming more content. It’s because machines are beginning to think, act, and transact continuously.
Cisco's latest research on AI traffic patterns points to something much bigger than incremental bandwidth growth. Enterprise WAN traffic without agentic AI was projected to grow roughly 2.5x over the next
decade. With agentic AI, that projection jumps to ~9x.
And here’s the craziest part! After following this data closely, I believe even those numbers may prove to be wildly conservative. This is the first time when we have published a study like this where I feel that the projections might be off significantly and what we might think takes a decade happens in 3 years.
Why?
Because most people are still modeling AI like software. It is not. AI behaves more like a new species of digital labor. A SaaS app waits for humans. Agents do not. Agents continuously reason, retrieve, coordinate, negotiate, execute, and loop. At software
speed. Without pause. 7x24. They never get sick. Don’t need a vacation. Dont get tired. Don’t need sleep.
That creates a fundamentally different traffic architecture. The industry spent decades optimizing networks for bursty downloads, video streaming, and
human-paced interactions, almost all of it flowing downstream to a person on the other end.
AI traffic inverts that. A single agentic task can generate 450% more traffic than a human doing the same work.
Roughly 70% of that is inference. And nearly 10% of AI flows now carry more upstream than downstream data, versus 0.5% for typical web traffic, because context continuously moves back into models. Network traffic is not just increasing in bandwidth. It is fundamentally getting reshaped.
This last point matters most. The internet was built as a distribution system for content. AI is turning it into an active system for cognition. The path between agents and models is becoming the spinal cord of intelligence itself. When that path degrades, the agent degrades.
Networking stops being a passive transport layer and
becomes part of the intelligence stack. That changes everything about how we think about resiliency, observability, security, and capacity at the edge. We may be grossly underestimating what is coming. The future will not simply have more users online. It will have trillions of digital coworkers operating continuously on behalf of humans, enterprises, applications, and eventually physical systems.
Humans click.
Agents swarm.
That difference is what creates a supercycle. This supercycle of inference infrastructure will not just be compute bound, but also memory and network bound.
Take a look at the report here: cisco.com/c/dam/en/us/so…
We are entering a networking supercycle. It’s not because humans are consuming more content. It’s because machines are beginning to think, act, and transact continuously.
Cisco's latest research on AI traffic patterns points to something much bigger than incremental bandwidth growth. Enterprise WAN traffic without agentic AI was projected to grow roughly 2.5x over the next
decade. With agentic AI, that projection jumps to ~9x.
And here’s the craziest part! After following this data closely, I believe even those numbers may prove to be wildly conservative. This is the first time when we have published a study like this where I feel that the projections might be off significantly and what we might think takes a decade happens in 3 years.
Why?
Because most people are still modeling AI like software. It is not. AI behaves more like a new species of digital labor. A SaaS app waits for humans. Agents do not. Agents continuously reason, retrieve, coordinate, negotiate, execute, and loop. At software
speed. Without pause. 7x24. They never get sick. Don’t need a vacation. Dont get tired. Don’t need sleep.
That creates a fundamentally different traffic architecture. The industry spent decades optimizing networks for bursty downloads, video streaming, and
human-paced interactions, almost all of it flowing downstream to a person on the other end.
AI traffic inverts that. A single agentic task can generate 450% more traffic than a human doing the same work.
Roughly 70% of that is inference. And nearly 10% of AI flows now carry more upstream than downstream data, versus 0.5% for typical web traffic, because context continuously moves back into models. Network traffic is not just increasing in bandwidth. It is fundamentally getting reshaped.
This last point matters most. The internet was built as a distribution system for content. AI is turning it into an active system for cognition. The path between agents and models is becoming the spinal cord of intelligence itself. When that path degrades, the agent degrades.
Networking stops being a passive transport layer and
becomes part of the intelligence stack. That changes everything about how we think about resiliency, observability, security, and capacity at the edge. We may be grossly underestimating what is coming. The future will not simply have more users online. It will have trillions of digital coworkers operating continuously on behalf of humans, enterprises, applications, and eventually physical systems.
Humans click.
Agents swarm.
That difference is what creates a supercycle. This supercycle of inference infrastructure will not just be compute bound, but also memory and network bound.
Take a look at the report here: cisco.com/c/dam/en/us/so…
