This chapter explores how intelligent machines can help to achieve systemic transformation towards a low-carbon future. It emphasises that technology alone cannot drive this change, and that a shared understanding, collaboration, and new infrastructure are essential. The concept of ‘operational environment work’ is introduced to highlight the need to adapt environments so that intelligent machines can function effectively. Various dichotomies are discussed, such as open versus closed environments and complex versus simple environments, to illustrate the challenges and requirements of operational environment work. It also delves into the definitions and forms of intelligence, distinguishing between individual, activity-linked and system-embedded types. This chapter critiques the conventional mental model of intelligence, arguing for a broader understanding that encompasses the interaction between humans, machines, and their environments, which is necessary in the context of intelligent machines and the sustainability transition. Additionally, it examines the influence of science fiction on technological development and the potential biases it carries. This chapter concludes with a vision of a climate-friendly world in which intelligent machines play a pivotal role in reducing the carbon footprint. Achieving this vision requires a shift in societal beliefs and practices, driven by inspiring stories and collaborative action.