Truthfully, people perceive connectivity as a solution that should just work. Since the third industrial revolution, it has become a basic utility. Just as people consider gas and electricity as utilities that should just work, connectivity falls into the same category. Unlike industries such as legal or software engineering, AI in telco cannot directly produce output or act as a tool. Hence, the value of an AI feature is limited because it is not a fundamental need. You should only develop features if they (1) solve a problem that was previously unsolvable. Or (2), generates so much value that going back becomes impossible. If you do not meet either condition, you waste resources that you could deploy more effectively.
This means MVNOs should primarily, if not exclusively, use AI to make their product as a utility. It should be seamless and reliable, not a flashy solution. Nominations for awards like Best New MVNO of the Year and Best B2B Offering come from one thing, solving inefficiencies in a clearly defined niche. To build a lasting MVNO, go back to basics. Find what is broken and fix it. This requires more than surface-level fixes. MVNOs must dig into daily customer workflows and expose pain points incumbents ignore.