AI has the potential to support many of the proposed solutions to solve sustainability concerns. However, AI itself is also unsustainable in many ways, as its development and use are for example linked with high carbon emissions, discrimination based on biased training data, surveillance practices, and the influence on elections through microtargeting. Addressing the long-term sustainability of AI is crucial, as it impacts social, personal, and natural environments for future generations. The “sustainable” approach is one that is inclusive in both time and space; where the past, present, and future of human societies, the planet, and environment are considered equally important to protect and secure, including the integration of all countries in economic and social change. Furthermore, our use of the concept “sustainable” demands we ask what practices in the current development and use of AI we want to maintain and alternatively what practices we want to repair and/or change. This chapter explores the ethical dilemma of AI for sustainability, balancing its potential to address many sustainable development challenges while at the same time causing harm to the environment and society.