Telco AI: State of the Market, Q2 2024

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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.
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Learn moreRelated research
AI for digital industries: navigating enterprise needs, investments and supplier decisions
Digital transformation of vertical sectors is accelerating, with AI being a top area of investment. GSMA Intelligence surveyed nearly 4,200 enterprises across 21 countries and 10 vertical sectors to gain relevant insights into their digital transformation across a range of technologies. This report analyses the key findings and implications for AI.
Five ways fixed broadband operators are using AI
GSMA Intelligence has identified five AI use cases for fixed broadband operators that aim to enhance customer experience while reducing costs: AI for network optimisation, AI for fibre rollout, AI integrated into CPE, AI for sales and marketing, and AI for customer service.
Distributed inference: how AI can turbocharge the edge
For several years, edge compute has been a key part of the 5G value proposition for telecoms operators selling into industries – even before AI. However, AI adds a new dimension to the value of edge through distributed inference.
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