AT&T: Targeting cost and operational efficiencies as initial genAI benefits
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AT&T: Targeting cost and operational efficiencies as initial genAI benefits
£450
EX. VATThis report is one of more than 140 published annually as part of the GSMA Intelligence data and research subscription, which is designed for organisations that require regular access to our insights. Contact our sales team for details.
Contact usOperator strategies continue to evolve in the digital era as the telecoms industry seeks to capture new growth opportunities in the consumer and enterprise markets. Assessing innovation and achievements is more important than ever before. GSMA Intelligence's operator case studies provide a concise and consistent way to shine a light on and analyse operators' strategies and business models, as well as how they are launching new services. In this edition, we analyse how AT&T is utilising generative AI, including an initial target of cost and operational efficiencies.
Report details
AT&T: Targeting cost and operational efficiencies as initial genAI benefits
£450
EX. VATThis report is one of more than 140 published annually as part of the GSMA Intelligence data and research subscription, which is designed for organisations that require regular access to our insights. Contact our sales team for details.
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Digital transformation of enterprises is accelerating across all vertical sectors, with AI being an important driver and enabler and a top area of investment. GSMA Intelligence surveyed 5,320 enterprises across 32 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.
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For much of 2025 and early 2026, the development of sovereign AI and sovereign digital service strategies – including the role telecoms could play in supporting them – was regularly in the news. For operators, the strategies represent an opportunity to support national agendas, reassert their relevance in the digital economy and drive new revenues based on their position as highly regulated and trusted service providers. This analysis looks at the sovereign messaging conveyed in sessions at MWC from operators, vendors, regulators and cloud providers.
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On-device AI is the next frontier for AI deployments in consumer and enterprise segments. Use cases include AI-based search and personal assistants, image analytics on a smartphone, AI-assisted driving and navigation in cars, industrial applications such as automated guided vehicles, and improved IoT analytics. This has implications for the device world and major tech companies whose business models depend on consumer time on the internet and digital platforms. It also matters for operators, given the ripple effect of AI-driven data traffic on mobile and fibre networks, and the direct revenue opportunity.
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