Cisco Live 2026 keynotes: TL;DR edition

Lead in the Agentic Era

AI traffic is expected to triple in the next three years, and robotics, manufacturing, and physical AI will put even more traffic on networks at an incredible pace.
Models like Mythos are accelerating threats at a pace we have never seen, and they will only keep getting more powerful.
Together, Cisco and its customers will deliver the critical infrastructure for the AI era, from AI-ready data centers to future-proofed workplaces to digital resilience.

The question comes down to one thing: how do we use AI to make Starbucks a better Starbucks, enabling craft and customization.
From supply chain to scheduling, Starbucks is deploying AI where processes are digital and repeatable, and predictability has substantially increased.
With close to half a million partners worldwide, the approach must create something people can visualize, and getting back to Starbucks gave everyone that picture.

AI is moving from chatbots to agents to physical AI, and the infrastructure requirements are changing in substantial ways at every step.
Humans click, but agents swarm—every agent generates 450% more traffic than a human doing the same task, making networking the new bottleneck.
To meet that demand, Cisco Cloud Control brings every product in the portfolio under one platform, delivering simplicity without losing the sophistication Cisco is known for.

As demonstrated in a live demo, Cisco Cloud Control takes operators from a single prompt to cross-domain troubleshooting in a matter of minutes.
Cloud Control brings together zero trust, identity intelligence, and AI guardrails to give teams complete visibility into where agents are running and what they can access.
With Codex natively baked in, teams can build custom apps and agents with a single prompt, turning intent into action.

AMD uses Cisco technology, including Cloud Control and Defense Claw, to streamline operations and focus resources on managing AI infrastructure.
AMD IT, in strong partnership with Cisco, is addressing key areas including tokenomics, AI compute, and infrastructure innovation.
This is the best time to be in IT, as hardware operators are back and infrastructure is at the center of every enterprise's AI journey.