Standard processors fight random energy fluctuations to maintain stability. Thermodynamic computers instead leverage these fluctuations to perform computations. This approach aims to reduce the massive power requirements of modern AI hardware. While theoretical, the shift could enable more efficient inference by treating heat as a resource rather than a waste product.