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
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
Insights from our Future skills tracker tool show that telcos remain behind technology companies (techcos) in the penetration of the key role types that would enable them to compete and add value like technology companies. The tracker provides direction on where telcos should learn from techcos and build capabilities to increase operational efficiency and enable new revenue streams going forward.
In this annual update to our Telco Cloud Deployment Tracker we focus on 5G core, vRAN/open RAN and cloud-native container orchestration platform deployments by telcos.
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 telecom industry is going through a period of material change in respect to the silicon it utilises. This report examines the key dynamics and considerations in the locations where processing demand is at its highest: the RAN and AI factories.
Welcome to this series analysing innovative B2B offerings by leading telcos worldwide. In this second edition, we turn our focus to a successful NaaS player in India.
STL Partners takes stock of the development of the edge computing ecosystem over the past five years, how AI has now reshaped the landscape and proposes its view on the future outlook of the market: including the likely winners and losers.
At its September 2025 analyst event, Amdocs outlined how it is transforming to support its view of where the telecom industry will go next, particularly in the context of AI, and demonstrated a techco playbook of change. What can telcos learn from its approach?
This report analyses the positioning of four hyperscalers – Amazon Web Services, Google Cloud, Oracle Cloud Infrastructure and Huawei Cloud – in the telco vertical. We evaluate how successful they have been at convincing telcos to migrate their workloads (from IT to the network) to the hyperscalers’ respective cloud platforms and we ultimately consider what the future role of hyperscalers in telecom will look like.
People’s appetite for AI appears to be insatiable. In recent months, there has been a proliferation in the number of consumer-centric AI solutions on offer by telcos, aiming to build new revenue streams or support loyalty for their existing services.
Welcome to this series analysing innovative B2B offerings by leading telcos worldwide.
In this first edition, we turn our focus to a successful software-as-a-service (SaaS) offering coming from Singapore.
Most large-scale deployments of virtualised RAN (vRAN) at Tier 1 telcos are currently based on single-vendor architecture. But operators are deploying vRAN in innovative ways that aim to preserve many open RAN benefits. This report looks at the current status of vRAN and open RAN deployments as well as the increasing awareness of the importance of deploying cloud-native RAN across multiple containers-as-a-service (CaaS) layers.

It was no surprise that AI dominated MWC this year. But there were lots of other notable trends on the rise – including cybersecurity and data centres – and some that were disappointingly overlooked. Find out what the STL Partners team saw and missed at MWC 2025.
As AI’s energy consumption rises, so do sustainability concerns. This report explores why this technology is so power-intensive, how to mitigate its impact and whether it can help reduce emissions. It also examines four possible scenarios for future energy consumption – from unchecked growth to greater efficiency – and their sustainability implications.
In light of the fast-evolving climate surrounding edge AI, we take stock of the upside and the downside risks that may move the needle on our recent Edge AI market forecast.
Our latest iteration of the Network edge data centre forecast shows that deployments are gradually bringing this market to life, despite the first early exits happening in 2024. What impact will 5G SA, data regulation and AI have on development of the network edge landscape?
This report analyses the edge computing strategies of the ‘big three’ cloud providers – Amazon Web Services (AWS), Google Cloud and Microsoft Azure. We assess how successful they have been at developing solutions across the edge continuum, including on-premise, network and regional edge, and determine who leads this nascent market.