How AI Could Cut Energy Trading Costs - Tem Energy

The energy market is plagued by systemic inefficiencies, with nearly 30% of power bills often diverted to intermediaries, trading desks, and balancing costs rather than actual energy production. Joe McDonald, CEO of Tem Energy, argues that these antiquated, human-driven processes fail to meet the needs of a modern, decentralized grid. By leveraging AI-native infrastructure like ROSSO, Tem Energy automates price discovery and supply-demand matching, effectively stripping out unnecessary fees and returning value to businesses and generators. Furthermore, regulatory mechanisms like P442 offer critical relief for businesses by allowing direct supply contracts that bypass certain grid charges. While these technological and regulatory shifts may disrupt traditional energy roles, they are essential for creating a more competitive, transparent, and sovereign energy landscape that prioritizes cost-efficiency for the end user.