As　Artificial　Intelligence　(AI)　technology　advances　rapidly,　its　role　in　promoting　regional　energy　transformation　is　becoming　increasingly　apparent.　This　paper　utilizes　regional-level　panel　data　from　China,　covering　the　period　from　2011　to　2021,　to　systematically　assess　the　impact　of　AI　development　on　energy　transformation.　Using　econometric　models,　including　fixed-effects　and　instrumental　variable　regressions,　the　study　reveals　that　an　increase　in　AI　enterprises　within　a　region　significantly　reduces　energy　consumption　per　unit　of　GDP,　thereby　accelerating　regional　energy　transition.　The　analysis　identifies　two　primary　channels　through　which　AI　exerts　this　effect:　by　facilitating　the　upgrading　of　the　regional　industrial　structure　and　by　promoting　the　growth　of　the　digital　economy.　The　findings　also　show　that　the　impact　of　AI　is　more　pronounced　in　highly　urbanized　regions,　particularly　in　the　Yangtze　River　Economic　Belt.　Additionally,　the　results　highlight　that　AI-driven　reductions　in　energy　consumption　are　largely　achieved　through　improved　efficiency　in　coal　and　electricity　usage,　addressing　key　structural　issues　in　China＇s　energy　landscape.