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# The Future of Connectivity: Cisco Testifies Before Senate Commerce Subcommittee on AI-Native Networking

**[Cisco](https://daily.dev/sources/cisco)** · 5 min read · 0 upvotes · 0 comments

## Summary

Cisco's Chief Architect for Service Provider Mobility, Bob Everson, testified before the Senate Commerce Telecom Subcommittee on how AI is transforming network infrastructure. Key points include a projected 209% surge in AI-driven campus and branch traffic over three years, AI agents generating 450% more traffic per task than human users, and the need for AI-native operations (AgenticOps) to enable self-healing, machine-speed networks. Everson outlined three policy priorities: accelerating the U.S. AI-native networking stack (including the AI-WIN collaboration with NVIDIA, MITRE, and T-Mobile), modernizing infrastructure permitting, and maintaining balanced spectrum policy to support 5G-Advanced and future 6G leadership.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blogs.cisco.com/gov/the-future-of-connectivity-cisco-testifies-before-senate-commerce-subcommittee-on-ai-native-networking>

## Questions this post answers

### How much more network traffic do AI agents generate compared to humans doing the same task?

AI agents generate 450 percent more traffic than a person performing the same task, according to Cisco's internal testing. Roughly 70 percent of that additional traffic comes from inference activity, reflecting the uplink-intensive, two-way nature of AI workloads compared to traditional downstream-optimized network traffic.

_Engineers planning capacity for agentic AI workloads can track infrastructure impact data like this on daily.dev._

### How much is AI expected to increase campus and branch network traffic?

AI-driven campus and branch network traffic is projected to surge by 209 percent over the next three years, according to Cisco. This growth stems from AI workloads being heavily uplink-intensive, requiring more complex two-way communication than traditional downstream-focused applications like web content consumption.

_Teams forecasting network capacity needs can follow AI traffic growth projections on daily.dev._

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