The research examines the integration of artificial intelligence (AI) and renewable energy in ecotourism facilities and their role more precisely towards achieving more sustainable performance and destination attractiveness. At a time when the tourism sector is significantly characterized by sustainability and digitalization challenges, the research interrogates how AI can contribute to the optimization of the management of the energy resource while reducing the carbon footprint of the ecotourism facilities. Five hypotheses were submitted for testing using a quantitative research model where regression analysis was used to test 146 actors involved in the ecotourism development in Morocco’s South (decision-makers, managers, technicians, and representatives from institutions). The results show that renewable energies and AI contribute to enhancing the continuity and reliability of tourist services through optimization of energy consumption, better need forecasting, and saving on storage. Support from institutions and finance also comes out as a success factor in the research but local training and skills are still lacking in a bid to encourage quick and wide adoption of the technologies. At the theory level, the study enhances the consideration of the interrelations between technological innovations, the transition to renewable energies, and the sustainability of the tourism industry. At the application level, it submits suggestions to support tourist operators and public decision-makers in the deployment of AI-based solutions and renewable energies in line with socio-economic and ecological specifics of the Southern Morocco context.