AI: THE FACTS

of leaders report ROI as a barrier to AI adoption

of leaders identified data privacy and security as a top barrier to their AI adoption

of leaders don’ t feel their AI implementation is completely ready to manage future risks

of leaders report feeling their IT is not prepared for AI implementation because of a lack of IT skills and talent

of leaders report difficulty integrating AI technologies with existing systems and workflows

Kyndryl’ s AI Readiness Report, 2025

“ One of the most impactful applications is AI-driven cooling management, where ML algorithms analyse real-time sensor data to adjust cooling systems dynamically, significantly reducing energy consumption,” he says.“ AI-driven optimisations contribute directly to lower power usage and higher operational efficiency.”

AI can also help data centre operators optimise their workloads and integrate renewable energy like solar and wind power more effectively, whilst distributing workloads across servers to prevent energy waste.

“ AI can enhance energy storage management, ensuring that green energy is efficiently utilised, further reducing reliance on carbon-intensive power sources,” Nick adds.

78 April 2025