Telcos need new skill sets to enable their organisations to compete and add value like technology companies. Insights from our Future skills tracker tool show that telcos remain behind techcos in the penetration of key role types and provide direction on the expert capabilities required to become more innovative, agile and technology-driven overall.
In this report, we discuss the extent to which AI adoption will transform enterprise networking and set out a framework of key questions that decision-makers should consider when developing and designing their AI strategies.
At MWC 2025, we held the Digital Health Summit in collaboration with the GSMA. At the event, we explored the opportunities and the challenges in smart hospitals, IoT, direct-to-consumer services and AI in healthcare. This report outlines the key takeaways and insights from the summit.
Who is most likely to win the battle for contextually aware personal assistants on smartphones – and is there an opportunity for telcos?
AI will create large potential opportunities for telcos in connectivity and use case enablement. But telcos must manage expectations and prioritise their investments carefully.
This report assesses the impacts of delays in data centre construction on operational financial metrics, budget and internal rate of return, and examines the role of effective reporting in ensuring on-time delivery.
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.
Trusted intelligence is crucial for operators in progressing to Level 4+
autonomous networks. This research explores the role of digital twins, agentic AI and operator knowledge in achieving trusted intelligence.
As the deployment of AI/ML ramps up, telcos need to develop an ‘intelligence architecture’, supporting the move towards Level 4 and 5 in the TM Forum’s Autonomous Network Framework. How will such an intelligent architecture support the self-healing network?
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.
The Telco generative AI adoption tracker is a database of announcements, trials and deployments of generative AI within telcos around the world.
In the latest update, we have added a list of generative AI solutions targeted at telcos.
Will artificial intelligence, immersive services, automated transportation and robotics drive a substantial increase in telecom traffic between now and 2032?
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.
The huge wave of AI has accelerated demand for cloud, but it has also triggered questions on whether deploying in centralised environments is always suitable, or if enterprises should instead consider the edge. Our edge AI forecast identifies the value of this opportunity, pointing to the use cases and the verticals that are driving growth, and determining the extent to which AI will stimulate more revenue at the edge.
Telcos are pursuing a telecom techco vision to renew business models. This report explores how network cloud, automation and AI accelerate this transformation, with insights on scaling these technologies, impactful AI/automation use cases and the advantages of open source.
In this report, we update our model of the financial value of adding AI, analytics and automation (A3) into a telco’s processes. This report focuses on the impact A3 can have in the BSS, channels, marketing and sales, and has a particular focus on the impact of new GenAI capabilities in these areas.
Edge computing is a key enabling technology for AI and GenAI applications, providing the local processing power and low-latency connectivity needed for real-time decision-making and data processing. This report looks at the trends in investments in edge computing companies – from edge data centres to platforms and applications – and the market outlook for 2025.