The long-term impacts of AI on networking

Opinion
Dec 30, 20241 min

Analyzing AI traffic flows is critical in choosing cluster network hardware, say enterprise IT professionals who found they knew little about AI network needs until they ran their own trials.

Data center / enterprise networking
Credit: Timofeev Vladimir / Shutterstock

AI is either going to spawn a golden age of profits and benefits or kill us all off, according to popular viewpoints on the subject. The latter view has been at least somewhat discredited; if you yell “AI” in a crowded theater these days, hardly anyone runs for the exits. The former one is still going on strong, and so network vendors have been quick to claim giant revenue growth potential in AI-driven changes. But wishing doesn’t make it so.

To almost everyone, AI really means generative AI services ranging from search augmentation to copilot tools associated with everything from writing emails to writing code. What delivers this massive intelligence injection? Networks. And so network traffic will explode from AI usage, and so will network equipment spending, right?

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tom_nolle

Tom Nolle is founder and principal analyst at Andover Intel, a consulting and analysis firm that looks at evolving technologies and applications first from the perspective of the buyer and the buyer's needs. By background, Nolle is a programmer, software architect, and manager of software and network products, and he has provided consulting services and technology analysis for decades.

He's a regular author of articles on networking, software development and cloud computing, as well as emerging technologies such as IoT, AI and the metaverse. His writing has appeared in No Jitter, IoT World Today, Network World, and multiple Tech Target publications. He publishes a public blog dedicated to the telecom, media, and technology strategy professionals, and also a series of reports on technology, market, and economic conditions.

Tom’s Reality Check blog won AZBEE awards in 2024 and 2025.