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Legacy networking infrastructure is reclaiming its central role as the essential backbone for the global AI buildout

Executive summary: Legacy networking giants, specifically Cisco, are seeing a massive resurgence in importance as they provide the essential connectivity infrastructure required for AI hardware and data center expansions. The AI revolution is not just about chips and models; it requires massive physical networking upgrades to handle new data loads, creating a high-value market for established networking players.

Who is involved: Cisco, AI hyperscalers, and data center operators like Equinix.

Likely next: Increased capital expenditure from hyperscalers toward networking hardware and potential partnerships between chipmakers and networking vendors.

The resurgence of companies like Cisco highlights a critical market realization: AI's computational power requires robust, high-capacity networking to function. As data center demands scale, the industry is pivoting from pure software/chip focus back to the physical infrastructure layer. This shift validates long-term networking investments as the necessary foundation for AI scalability.

What's next — scenarios

Base: Sustained infrastructure demand (60%)

Networking vendors maintain high order backlogs and steady revenue growth driven by AI data center builds.

Upside: AI Networking Supercycle (25%)

Accelerated transition to next-gen networking protocols leads to massive margin expansion for Cisco and peers.

Downside: Hardware Overcapacity (15%)

A slowdown in AI model training or data center construction leads to a glut in networking equipment and inventory write-downs.

What to watch

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Analysis — what this means

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