Energy costs and grid availability are now major factors in how financial institutions deploy AI. Greg Holmes, EMEA Field CTO at Apptio (an IBM company), explains that rising electricity prices are forcing banks and fintechs to rethink cloud strategy, model efficiency, and vendor selection. Workload scheduling, hybrid data centers, and FinOps teams that model energy curves are becoming standard tools to manage volatility. The article also examines the UK's AI ambitions. With some of the highest electricity costs in the developed world, scaling AI carries a cost premium that could push compute workloads to cheaper markets. Holmes argues that grid modernization, transparent carbon accounting, and energy-efficient infrastructure are essential to keep the UK competitive. For anyone tracking how real-world energy constraints affect digital infrastructure and decarbonization, this piece offers concrete examples from a practitioner.
