Generative AI: navigating tech developments, operator adoption and consumer expectations

Last month, China’s three major telecoms operators became the first to launch token-based AI plans, packaging AI usage in a way that resembles traditional mobile data bundles, signalling a broader push by operators to commercialise AI, cloud and compute capabilities. This reflects growing interest among operators in monetising AI by moving beyond internal AI efficiencies and towards commercial AI opportunities. The logic is simple – tap the surging interest in AI and put a meter on it – but the concept goes beyond just offering tokens for cash.

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.

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.