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Extreme Connect 2026: Agentic AI, Platform ONE and the next phase of enterprise networking

· May 6, 2026
Extreme Connect 2026: Agentic AI, Platform ONE and the next phase of enterprise networking

Extreme Networks Inc. showcased significant advances in AI-driven enterprise networking at their Extreme Connect 2026 conference. The company introduced Agent ONE, a new AI layer designed to bring greater automation and intelligence to network management. This update builds on their existing Platform ONE framework and includes new hardware like Wi-Fi 7 access points and enhanced switching capabilities that can better support complex, fabric-based network architectures.

This matters because networking is becoming too complex for traditional management methods to handle efficiently. By integrating Agent ONE’s advanced artificial intelligence, companies can expect networks that self-optimize and respond rapidly to changing conditions without heavy manual intervention. This reduces downtime, improves security, and helps IT teams focus on strategic tasks instead of routine troubleshooting. For businesses running critical applications across multiple sites, the promise of more proactive and adaptive network control speaks directly to higher productivity and lower operational costs.

The move toward AI-powered networking is part of a larger trend aiming to solve the escalating management challenges faced by enterprises as their digital environments grow. Platform ONE was already a step in this direction, bringing software-defined control and automation to network infrastructure. Now, Agent ONE, described as “agentic AI,” adds a layer of decision-making autonomy, enabling networks to act more like self-driving systems. Incorporating Wi-Fi 7 hardware also aligns with the need for faster, more reliable wireless connections, especially as edge computing and IoT devices multiply.

Looking ahead, this evolution signals a shift in how networks will be designed and operated. As AI systems become more capable of understanding context and making independent adjustments, network teams may move toward a supervisory role rather than constant hands-on management. The integration of fabric-ready switches and smart AI could also encourage wider adoption of these technologies in mid-sized to large enterprises that demand both scale and agility. Observers should watch how Extreme Networks’ approach influences competitive dynamics and how other vendors incorporate agentic AI into their own platforms.

Extreme Networks is pushing forward with a vision where AI and networking merge deeply to solve modern enterprise challenges. The next few years will reveal if this model becomes the industry norm or if it faces hurdles in real-world deployments. What is clear is that AI is no longer a mere feature but a foundation for the future of enterprise networks.

— AI Quick Briefs Editorial Desk

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