After a long period of heavy investment into infrastructure including 5G capability and data centres, operators are determined to boost ROI and profitability – and look to AI as a way of achieving this.
There are already numerous examples of AI being used to help operators increase efficiencies and save cash – from fraud prevention and reducing customer service cost, to energy use optimisation and better network management.
Use cases are also emerging of AI playing a role in boosting existing revenue streams and creating new income – such as offering enterprise customers access to AI infrastructure and systems instead of running their own, building 5G SA networks customised specifically to their needs, and allowing them to service their customers in ways not possible before.
This Briefing looks at operators’ attitudes and progress toward these opportunities, what other options are appearing on the horizon, the drivers, what’s holding them back and what needs to happen next.
Where we are today, successes, challenges and future opportunities
Battered from lack of monetisation from massive investment in 5G and the overall failure of Open RAN, how keen are operators to seize the AI infra opportunity? Or will it only appeal to a subset of operators?
There are big challenges to adapting and adopting technologies that are evolving so fast – and tremendous benefits to be had too. We consider what being an AI-native telco will look like by 2030 and the major milestones to getting there.