FEATURE : 2025 FORECAST

As we head into a new year , C-levels across Europe are preparing for suspected changes and unprecedented demands across all industries and sectors . We hear from leading experts who share how the rapid rise of AI , sustainability pressures and the demand for secure networks are set to redefine

IT strategies in 2025 .

Demand for energy-efficient computing in the IT sector will soar in 2025 , fuelled by the powerintensive demands of Artificial Intelligence ( AI ), and the increasing focus on sustainability . IT leaders face mounting pressure to reduce both carbon footprints and energy costs – not only due to ESG regulations but also from customers and investors . In 2025 and beyond , businesses will embrace energy-efficient computing through quick wins , such as adopting more efficient hardware , as well as long-term strategies powered by innovative technologies .

Maximising efficiency from existing hardware will be essential , particularly through algorithm optimisation . However , IT leaders must also embrace replacing outdated , inefficient systems with modern , energyefficient alternatives that offer superior performance per watt , and tangible carbon savings . Accurate measurement of IT-related emissions is crucial , requiring investment in tracking tools to pinpoint and address inefficiencies in systems or applications .

In data centres , liquid cooling technology is seeing rapid adoption to support the widespread deployment of AI . This shift is driven by the increasing use of energy-intensive GPUs and CPUs , rising server power density and the decreasing safe operating temperatures of chips . With air cooling proving insufficient , liquid cooling delivers superior efficiency for both internal server operations and perimeter cooling , effectively managing heat across the entire data centre . As AI adoption accelerates , liquid cooling is becoming increasingly indispensable .

Dave Mosley , CEO , Seagate

The AI boom will demand greater trust in the data , not just in scale . According to McKinsey ’ s Global Survey on AI , 72 % of organisations worldwide have integrated AI technology into at least one business function . This trend is particularly evident in Europe , where 90 % of professionals report using generative AI tools for work or personal reasons . But AI can only be trusted if the data behind it is trustworthy .

Whether it ’ s from capturing training checkpoints to saving source data sets , the more data we retain during

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