
Networks for AI: Segmenting the growth
AI will create large potential opportunities for telcos in connectivity and use case enablement. But telcos must manage expectations and prioritise their investments carefully.
AI will create large potential opportunities for telcos in connectivity and use case enablement. But telcos must manage expectations and prioritise their investments carefully.
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 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.
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.