This study explores the role of habit (HT) in sustaining the adoption and continuous use of AIKU, an AI-based air quality monitoring system. Using the UTAUT2 model, the research investigates how factors such as Performance Expectancy (PEX), Effort Expectancy (EE), Price Value (PV), and Social Influence (SIN) influence Behavioral Intention (BIN) and User Behavior (UB). The study also incorporates Perceived Risk (PR) and moderating variables Gender and Experience. Data from 414 AIKU users in Indonesia were analyzed using SmartPLS 4.0. Findings indicate that PEX, EE, and PV significantly positively influence BIN, while HT significantly positively influences BIN and UB. BIN significantly positively influences UB. The research highlights the crucial role of habit in sustaining AIKU usage, emphasizing the importance of psychological factors in technology acceptance and retention. The study contributes to the literature by demonstrating the significance of habit in driving the acceptance and use of AIKU. Limitations include the focus on AIKU and the need for future research to expand coverage and consider variations in air quality systems. The study provides valuable insights for future strategy and policy development in AIKU adoption.This study explores the role of habit (HT) in sustaining the adoption and continuous use of AIKU, an AI-based air quality monitoring system. Using the UTAUT2 model, the research investigates how factors such as Performance Expectancy (PEX), Effort Expectancy (EE), Price Value (PV), and Social Influence (SIN) influence Behavioral Intention (BIN) and User Behavior (UB). The study also incorporates Perceived Risk (PR) and moderating variables Gender and Experience. Data from 414 AIKU users in Indonesia were analyzed using SmartPLS 4.0. Findings indicate that PEX, EE, and PV significantly positively influence BIN, while HT significantly positively influences BIN and UB. BIN significantly positively influences UB. The research highlights the crucial role of habit in sustaining AIKU usage, emphasizing the importance of psychological factors in technology acceptance and retention. The study contributes to the literature by demonstrating the significance of habit in driving the acceptance and use of AIKU. Limitations include the focus on AIKU and the need for future research to expand coverage and consider variations in air quality systems. The study provides valuable insights for future strategy and policy development in AIKU adoption.