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How, and Where Telecom Should Leverage AI

valid until: 02 Mar 2027date published: 02 Mar 2026

It should come as no surprise that telecoms, by nature, generate vast amounts of data. Because of that fact, it is very easy to assume that AI would be a very powerful tool for telecoms. After all, consuming and crunching data are two of AI’s most attractive qualities. Logic would have it, then, that the telecom industry is champing at the bit to leverage AI to open up new opportunities. The billion-dollar question is… how?

Most telecom companies today are built on legacy foundations–outdated software infrastructures that are siloed off from one another. That means that if AI were applied en masse, you would quickly become mired in a messy, garbage-in, garbage-out scenario. Because of this potential pitfall, the answer lies in a targeted approach to AI.

There is one system of record that telecoms have that contains the most valuable data. Billing. It’s one of, if not the most frequent point of entry and the largest depository of customer data. Consider the ways that customers project data connected to billing:

An increase in data usage or an upgraded data plan could indicate a growing business
A switch from an individual plan to a family plan could mean that family members have grown into a new demographic with increased buying power
An uptick in global roaming plans might signal a budding market expansion opportunity

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How, and Where Telecom Should Leverage AI