Government calls for evidence on AI to cut energy system costs

Martin McCluskey, Minister for Local Energy and Jobs, used a London startup event to launch the government's "AI for clean energy vision" - a call for evidence on how artificial intelligence could improve efficiency, cut costs and strengthen energy security. For fleets weighing depot charging and grid connections, this is the policy signal to watch: it's early, but it sets the direction of travel for how the electricity system gets managed as demand from EVs climbs.

The speech, delivered at Google's Platform 37 site on 8 September, leaned heavily on renewables momentum to make its case: solar installations passed 2 million for the first time in March 2026, while nearly 3,000 offshore turbines across 46 wind farms provided up to 16.5 GW of grid-connected capacity in 2025 (DESNZ). Google's own line, that AI is "a pivotal force in accelerating this essential energy transition," featured prominently. DESNZ says its number one priority remains making energy more affordable, and this vision paper is framed as feeding that goal by cutting costs and improving efficiency across the network.

Why this matters: nothing here is binding yet, but a call for evidence that links AI, grid efficiency and affordability is worth a submission if you run high-kWh depot charging or multi-site EV operations, since the eventual framework could shape connection costs and tariff design. (DESNZ)