To achieve competitive advantages, marketers are now adopting AI technologies, including machine learning (ML) algorithms, natural language processing (NLP), chatbots, computer vision, robotics, speech recognition, reinforcement learning, generative AI, and predictive analytics. The use of AI in marketing widens the opportunities for the future. However, as AI advances, one cannot ignore the negative consequences it brings, such as public relations crises, ethical dilemmas, and significant financial losses. This chapter sheds light on the paradox of AI in marketing: with the promises of innovation and efficiency, incorrect use of AI could lead to substantial damage to humankind. The chapter focuses on short case studies, discussing how marketers may sometimes fall into the trap of AI and fail to optimize the systems. A brief focus was placed on the modern marketing journey with AI, illustrated through a few case studies, including the Microsoft Tay chatbot, Amazon’s biased recruitment tool, and Facebook’s targeted advertising practices over the years. The chapter demonstrates how overreliance on AI can lead to biased outcomes and significant organizational issues. The case studies focused on specific issues and introduced the major marketing takeaways. Overall, this chapter reminds the reader that leveraging AI as part of one’s marketing practice is not entirely about technical knowledge of AI technologies; it is more directly related to considerations of ethical innovation, building consumer trust, and actively addressing risks. Through mistakes made in the past, marketers have learned how to stimulate organizational practices to begin using AI not just as an instrument for growth, but as part of the agenda for ethical marketing practice through inclusivity and sustainability.