Various advances in artificial intelligence (AI) based on the reactive to predictive approach process have significantly provided a number of changes to the experience of its users through methods that are often not realized. Thus, this study discusses how predictive AI influences customer perception, trust, independence, and various emotional involvements that exist on several digital platforms. This study has a main focus, namely, how users respond to systems that have provided predictions of their needs without explicit requests. This raises issues around control, empathy, and ethics digitally. Thus, based on a multiple case study approach in a constructivist framework, this study will examine 3 categories of AI-based services through deeper interview involvement with 15 respondents aged 21–40 years where they actively use the service. The thematic analysis applied is to identify emotional patterns and thematic patterns that have emerged through the use of combined theories such as TAM, digital trust theory, and several customer experience models based on cognition and affection. This study concludes that the user experience with AI is not just about efficiency, but involves more complex ethical and emotional dimensions. Therefore, there needs to be a new paradigm in AI design that places trust, empathy, and transparency in line with algorithmic accuracy with the aim that a truly human-cantered experience can be created.