Telco generative AI adoption tracker
The Telco generative AI adoption tracker is a database of deployments of generative AI by telcos around the world. It also features STL’s assessment of key telcos’ progress with AI
Tag Archives: AI
Consumer innovation tracker
A global database of innovative telco consumer services beyond connectivity
How telcos generate AI revenue
How telcos are building revenue from AI-centric solutions for consumers, enterprises and the public sector.
How telcos can deliver for defence
As telcos deploy more resilient and programmable networks, they could become key suppliers to armed forces. Dual-purpose tech solutions by telcos are valuable also to the population and civilian critical services during extreme weather events or energy blackouts, as much as during military conflict.
Liquid cooling: The next consolidation wave in data centre infrastructure
As AI workloads push rack densities higher and liquid cooling becomes essential infrastructure, a fragmented vendor landscape is ripe for consolidation.
MWC 2026: AI but with more realism than hype
AI was again at the centre of MWC. But now telcos are focused on what they can practically achieve with AI rather than on boosting investor perception. Satellites, 5G standalone, sovereignty, security and quantum are other themes we noted in Barcelona.
Telco AI data centre forecast: Where will the compute live in the AI era?
Our telco AI data centre forecast examines the rise of AI factories alongside the evolution of network edge infrastructure, showing how AI-driven demand is accelerating growth in telco compute capacity. How will data sovereignty requirements and new industrial AI applications reshape the telco compute capacity landscape?
The rise of AI at SK Telecom
Following early AI investment, in 2021 SK Telecom announced its intention to become an AI company for the AI era. What actions has SK Telecom undertaken to this end? What role is AI playing across its business? And is AI paying off?
Breaking the RANcuffs: How operators can accelerate RAN Autonomy
RAN autonomy will not deliver impact unless technical progress and value creation advance in parallel. Our dual-axis framework will help operators to assess where they are today, identify constraints across the lifecycle and the investments most likely to scale.
Agentic AI: Making operator data AI ready
To deliver on their AI visions (especially agentic AI), operators must transform their data foundations and capabilities to avoid “garbage in, garbage out”. We identify the steps operators can take to get their data ready for AI on the journey towards level 4+ autonomy.
Revisiting the connected home
With recent advances in AI, smart homes may actually become smart, generating considerable value for homeowners, telcos and a broader ecosystem of device and solution providers.
Enterprise AI: Practical steps for telcos to address customer needs
In the first report in this series we identified the most promising opportunities for telcos to serve enterprise AI needs. This follow-up research focuses on the practical steps telcos must take to execute, differentiate and deliver impact for enterprises adopting AI.
Telefónica – Autonomous networks case study
Welcome to this series analysing network autonomy efforts by leading telcos worldwide. In this second edition, we put the spotlight on a leading multinational operator in the journey toward autonomous networks.
MWC Doha 2025 had AI at its heart
Regional AI ambition was at the heart of the Middle East’s inaugural MWC event, backed up by a new LLM and many large investments. But the region is still early in its journey, and must focus on laying fundamental groundwork if it is to see the successful adoption of AI.
Perspectives 2026: 26 industry predictions for the year ahead
STL Partners’ 26 predictions for 2026, focusing on change and growth in the telco industry
AI and agents in next-generation assurance
This research examines current and future requirements for AI and ML in service assurance as telcos move towards self-healing networks supported by agentic AI.
Lessons from China’s low-altitude economy
China has seen rapid growth in its low-altitude economy. Its experience offers important lessons and fresh insights on how telcos can better position themselves to enable and accelerate the future of this emerging sector.