Telco AI Use Cases: What’s Working and Where ROI is Real

IBM paper review exploring how AI is reshaping telecommunications, highlighting leading use cases, current adoption rates, and the measurable ROI realized by telcos.

IBM conducted a survey with 106 executives from major telecommunications operators across six countries, focusing on leaders responsible for AI, technology, operations, and business strategy within their organizations. The just released paper “Telecommunication in AI Era” focusses on the generative AI ( GEN AI) telco use cases that mark a shift from using AI predominantly for efficiency and cost savings to leveraging it for business innovation, new revenue streams, and competitive advantage and rapidly redefining the telecommunications industry. Most CSPs however are still facing challenges scaling and unlocking full value due to data silos, legacy systems, and the need for deeper enterprise-wide integration.

A recently published BCGs research ( TLDR here ) showed a section of Gen AI focussed applications delivering measurable business impact across sales operations. I wanted to include this here to emphasize we’re only focussing on “Gen AI” here and not Agentic AI, which remains largely experimental as of now. BCGs researched use cases focus on specific, well-defined tasks like content generation, call transcription, and automated battle cards, whereas agentic implementations attempt broader autonomous decision-making that current technology cannot reliably support, so there’s an overlap and the the research compliments the telco data.

AI use cases in telecom

As companies scale AI projects from pilots to enterprise-wide deployments, Here are few telco specific use cases listed in the report, where per the leadership, Gen AI implementation across the industry and the incremental impacts has been observed.