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title: Is your SD-WAN ready for AI-powered operations? | daily.dev
description: AI is fundamentally changing enterprise network traffic patterns, shifting from predictable human-generated flows to dynamic, machine-initiated exchanges. A...
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# Is your SD-WAN ready for AI-powered operations?

**[Cisco](https://daily.dev/sources/cisco)** · 6 min read · 0 upvotes · 0 comments

## Summary

AI is fundamentally changing enterprise network traffic patterns, shifting from predictable human-generated flows to dynamic, machine-initiated exchanges. A 2026 Cisco/Foundry survey of 3,472 IT leaders found a 34% average increase in AI-related campus and branch traffic, yet only 15% of organizations feel their networks are flexible enough to support AI at scale, and 73% expect capacity limits within 24 months. SD-WAN must evolve beyond optimizing human application traffic to handle AI workloads through four key capabilities: AI workload awareness, experience assurance via real-time path steering, integrated security and governance, and operational visibility. Different AI workloads — voice AI, RAG, edge AI, agentic workflows — have distinct performance requirements, and agentic AI in particular can amplify a single request into dozens of machine-to-machine exchanges, making visibility and policy enforcement as critical as raw capacity.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blogs.cisco.com/security/ai-sdwan-readiness>

## Questions this post answers

### What percentage of IT organizations say their networks can flexibly scale to support AI traffic?

Only 15% of organizations say their networks are flexible and adaptable enough to support AI at the required scale. This comes from a 2026 survey of 3,472 IT and networking leaders conducted by Cisco and Foundry, which also found a 34% average increase in AI-related campus and branch traffic and found that 73% expect capacity limits within 24 months.

_network teams weighing AI capacity planning can track infrastructure trends like this on daily.dev._

### What makes AI-generated network traffic different from human-generated traffic?

AI-generated traffic is machine-initiated rather than tied to direct human actions, and it can be bursty, distributed, and business-critical even with no person directly involved. A single AI agent request can trigger dozens of downstream machine-to-machine exchanges, such as API calls and data retrievals, unlike the more predictable patterns of people opening apps or joining meetings.

_engineers designing for agentic AI workloads can follow network architecture shifts like this on daily.dev._

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#networking](https://daily.dev/tags/networking), [#cisco](https://daily.dev/tags/cisco)

[View this post on daily.dev](https://daily.dev/posts/is-your-sd-wan-ready-for-ai-powered-operations--lvgz7fp0j)

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