This paper explores the integration of generative AI (GenAI) with adaptive learning (AL) in education. GenAI, which includes large language models and diffusion models, has shown significant potential in generating human-like outputs for various tasks. Adaptive learning, which tailors educational experiences to individual learners, has demonstrated pedagogical benefits such as personalized learning paths and immediate feedback. The paper argues that combining GenAI with AL can significantly enhance the next stage of educational development. GenAI can empower existing AL algorithms by improving profile building, material recommendation, and content creation. For instance, GenAI can dynamically generate personalized learning materials and adapt content based on individual learner needs. It can also create interactive learning environments and simulate real-world scenarios, enhancing the learning experience. Additionally, GenAI can serve as an intelligent agent, providing real-time support to students and assisting educators in personalized feedback. However, the integration of GenAI with AL also presents challenges, including the risk of hallucinations, over-reliance on AI, and potential biases. The paper emphasizes the need for ethical considerations, fairness, and the balance between AI and human involvement in education. It also highlights the importance of governance frameworks to ensure that GenAI is used responsibly and effectively in educational settings. The paper concludes that while GenAI offers significant opportunities for enhancing AL, it is crucial to address the associated challenges and ensure that the integration of AI in education remains aligned with human-centric goals. The paper calls for further research and exploration to fully realize the potential of GenAI in transforming educational practices.This paper explores the integration of generative AI (GenAI) with adaptive learning (AL) in education. GenAI, which includes large language models and diffusion models, has shown significant potential in generating human-like outputs for various tasks. Adaptive learning, which tailors educational experiences to individual learners, has demonstrated pedagogical benefits such as personalized learning paths and immediate feedback. The paper argues that combining GenAI with AL can significantly enhance the next stage of educational development. GenAI can empower existing AL algorithms by improving profile building, material recommendation, and content creation. For instance, GenAI can dynamically generate personalized learning materials and adapt content based on individual learner needs. It can also create interactive learning environments and simulate real-world scenarios, enhancing the learning experience. Additionally, GenAI can serve as an intelligent agent, providing real-time support to students and assisting educators in personalized feedback. However, the integration of GenAI with AL also presents challenges, including the risk of hallucinations, over-reliance on AI, and potential biases. The paper emphasizes the need for ethical considerations, fairness, and the balance between AI and human involvement in education. It also highlights the importance of governance frameworks to ensure that GenAI is used responsibly and effectively in educational settings. The paper concludes that while GenAI offers significant opportunities for enhancing AL, it is crucial to address the associated challenges and ensure that the integration of AI in education remains aligned with human-centric goals. The paper calls for further research and exploration to fully realize the potential of GenAI in transforming educational practices.