The recent increase in the use of artificial intelligence (AI) and the Internet of Things has given rise to fundamental changes that affect users’ daily lives. Smart connected objects and smart homes have appeared. The purpose of this study is to understand the acceptance and resistance factors of AI-based smart homes by combining the unified theory of acceptance and use of technology (UTAUT) with other relevant theories (technology acceptance theories from AI and robots research; regulatory focus theory; uses and gratifications theory; technology readiness theory) in a unified model. Cross-cultural data are collected in Western countries (France, Germany) and an Eastern country (China) and analyzed using ordinary least squares path analysis modeling. The results show that consumers pursue complementary types of goals when making decisions (e.g., utilitarian, prevention-oriented goals and affective, promotion-oriented goals involving well-being). We found a strong positive impact of smart homes’ technology security, trust, and well-being on people’s intention to use. Perceived privacy risks negatively influence people’s intention to use only in developed countries.