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AI in telecoms – in theory and in action
AI is a transformative technology, but it is important to look beyond the hype and identify the parts of the innovation cycle that matter most. How do they translate into commercial activity and possible changes in corporate strategy?
GSMA Intelligence is launching this research series to investigate how telcos are putting AI to use, how they are innovating and what they (and supporting ecosystem players) need to be thinking about as they continue their AI journeys. The series will look at strategy and technology planning, AI sustainability, and the results of a benchmarking exercise establishing how advanced telcos are in their adoption and use of AI.
This first edition explores the expanding use of AI in telecoms, examining both core AI and genAI. It highlights key use cases, contrasts AI with genAI adoption, and delves into the increasing role of large language models (LLMs) in driving industry advancements.
Report details
Telco AI: State of the Market, Q2 2024
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This report is from the Telco AI: State of the Market series
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Telco AI: State of the Market, Q2 2024
Download the report
Complete the form to get instant access to this content. For easier access in the future, you can register for a free account here.
By submitting this form, you agree that your email address and related activity on the platform will be processed for the purpose of generating and providing the requested report. Your data will be shared with GSMA Intelligence for this purpose. For more information, please see the GSMA Intelligence Privacy Policy.
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The key change over the last six months has been telecoms operators using AI in their product portfolios to enhance commercial efforts, particularly with enterprise segments. In the US alone, 50% of the new AI deployments since June 2025 have had a revenue objective. As well as recent developments from the telco AI space and the Telco AI tracker, this edition also provides a deep dive on AI's contribution to operator energy consumption.
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