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.

Report details

Telco AI: State of the Market, Q2 2024
Pages
33
Released
SEPTEMBER 2024

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Topic

This edition of the Telco AI: State of the Market series highlights AI commercialisation continuing to accelerate, with two thirds of AI deployments tracked across the telecoms sector now live. As well as recent developments from the telco AI space and the Telco AI tracker, this edition provides a deep dive on AI investment, highlighting how operators can target infrastructure investments where they have an advantage but partner where hyperscaler scale economics dominate.

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SERIES: Telco AI: State of the Market

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Developments in AI this quarter highlight telecoms operators moving beyond connectivity to offer bundled infrastructure for enterprises. Sovereign infrastructure is further strengthening their role in markets with local data requirements, making partnerships and focused industry solutions key to success.

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SERIES: Telco AI: State of the Market

Telco AI: State of the Market, Q1 2026

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Many AI announcements in Q1 2026 focused on telecoms operators and partners building out sovereign capabilities to satisfy national requirements around data residency, compute and LLMs. Meanwhile, investment in agentic AI build-outs has extended beyond networks and software to machines, drones, cars and other industrial assets – so-called ‘physical AI’. As well as recent developments from the telco AI space and the Telco AI tracker, this edition provides a deep dive on the implications of the growth of on-device AI.

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