In case you missed it – Dean Bubley, a tech industry expert and founder of Disruptive Analysis, wrote a new column for Broadband Breakfast explaining how shared spectrum – particularly localized and private networks – will drive U.S. leadership in artificial intelligence (AI). Bubley also highlighted how AI will allow for more efficient use of limited spectrum.

“AI is also helping to improve wireless network performance and efficiency in many ways. It is the central plank of initiatives such as AI-RAN, as well as being a core area of study for new 3GPP 5G and 6G standards,” wrote Bubley. “By dynamically adjusting network parameters and predicting traffic patterns, AI can enable mobile networks to handle increased traffic loads, without necessitating additional spectrum. AI will also play a role in future versions of dynamic spectrum-sharing, allowing more efficient use of scarce spectrum resources. This is an area where the US has a notable R&D lead at present.” 

As the founder of Disruptive Analysis, Dean Bubley has been writing about numerous issues in the telecom space, including spectrum, for two decades.

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We’re confronted by stories about the huge impact of AI. We know it will mean more GPU chips, more energy for powering data-centers, and more fiber to connect them. We hope it will create more productivity and innovation. It’ll need more regulatory oversight and guard-rails, as well. 

But some in the mobile industry have gone further. They are asserting it means we need more spectrum for public cellular carriers. On a recent Broadband Breakfast webinar, a CTIA speaker suggested that a lack of suitable 5G spectrum might somehow hinder AI development and usage.

Read Dean’s full column in Broadband Breakfast.