In the current mental health care landscape, the integration of artificial intelligence in psychological treatment has emerged as a promising tool for patients seeking therapeutic support. This thesis explores the application of Snyder s Hope Theory (2002) in the context of the adoption of online mental health technologies, proposing that hope can be a determining factor in the adoption of effective chatbots for mental well-being counseling. In order to better understand the dynamics between the constructs of hope and the acceptance of new technologies for mental health, a survey was conducted with patients consumers, the results of which were analyzed through structural equation modeling. This multidisciplinary study crosses boundaries between consumer behavior, psychology, and the diffusion of innovations, seeking to elucidate the mechanisms that drive the acceptance of Mental Health GPT (ChatGPT) as a tool for psychological counseling. The research emphasizes the importance of the components of hope - goals, pathways, and agency - and examines how they influence individuals decisions to adopt technologies for mental health. The results have the potential to enrich theoretical understanding of the role of hope in consumer behavior of mental health technologies, as well as provide valuable insights for the development and dissemination of effective mobile solutions for treatments of this nature.