Google Cloud warns 83% of firms need network upgrades for agentic AI
Google Cloud’s State of Infrastructure in the Agentic AI Era finds 83% of organizations require network upgrades to support autonomous AI systems. Unlike chatbots, agents operate continuously, interacting with APIs, data, and other systems without human input, creating unpredictable traffic patterns that strain traditional networks designed for 9-to-5 employee workflows.
Key points
- Google Cloud reports 83% of firms need network upgrades for agentic AI workloads
- Agents create continuous, unpredictable traffic, breaking traditional 9-to-5 network designs
- Gartner predicts 70% of organizations will face AI-agent-related failures by 2029
The report highlights that current NetOps models—relying on human operators to troubleshoot—are ill-equipped for agent-driven demand. IBM’s survey shows only 11% of leaders are fully prepared for scaling AI agents, while Gartner warns that by 2029, 70% of organizations may face material service, security, or cost issues due to weak controls. The solution lies in AI-driven network intelligence, automation, and proactive policy enforcement to reduce manual intervention and ensure reliable, secure operations.
The story so far
2 episodes →- Google Cloud warns 83% of firms need network upgrades for agentic AIthis story
The Overlooked Role of Networks in AI Infrastructure
Unite.AI · 22 October 2026
Loading the full article…
This text was published by Unite.AI and written by Hardik Ajmera, VP of Product Management, Extreme Networks. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
More in Enterprise & Industry
All →- Uber puts all 30,000 employees on ChatGPT Work · 2 src
- Leidos to deploy AI automation in Pentagon logistics system under $95M contract · 1 src
- AWS blog shows measured auto scaling for Kokoro-82M TTS on SageMaker · 1 src
- Nvidia partners with Siemens Healthineers on AI‑driven radiotherapy · 1 src
- Warp raises $60M to automate HR workflows with AI agents · 1 src
Comments
via GitHub Discussions