In an era where the Internet of Things (IoT) is driving automation across industries, the integration of Generative AI introduces new opportunities and complexities. While AI-driven systems improve efficiency and personalization, they also raise significant privacy concerns. This talk explores the intersection of Generative AI and IoT, focusing on the privacy risks inherent in automated decision-making and data generation. We will discuss how AI models learn from user data, the vulnerabilities in IoT ecosystems, and the need for strong ethical frameworks to ensure responsible AI deployment. Attendees will gain insight into the balance between innovation and privacy protection, understanding the role of transparency, data security, and regulation in AI-driven automation.