This thesis investigates the effects of consumer perception of AI customizability and purpose on consumer trust, attitude, and perception of effectiveness and efficiency regarding an AI agent. Understanding how humans perceive artificial intelligence (AI) is crucial for firms and individuals alike. Integrating AI into daily living hinges on grasping and responding to human perception. Thus, the objective of this study is to compare human responses, trust building, and bonding when interacting with what appears to be a customized artificial intelligence (AI) versus generic artificial intelligence, as well as the importance of shared personal vs generalist discussions on perception of AI. The study employs a 2-by-2 design inspecting the perception of customization and topic of discussion as the two factors. After sampling from the general population, this study applied t-tests and a 2-way ANOVA to identify the effects of these factors both independently and in combination. Results indicate that under a generic chatbot, the purpose / topic can significantly influence consumers’ positive attitude towards the AI, while under a customized chatbot, the purpose / topic can significantly influence consumers’ opinions on efficiency / effectiveness. Additionally, when discussing a personal preference topic, consumers show significant improvement in positive attitude and opinion on effectiveness when they perceive the bot to be customized.