Artificial Intelligence (AI) has revolutionized various aspects of human activities, profoundly impacting the landscape of higher education, particularly in the domain of teaching and learning. This paper aims to discuss the topic of instructional design from both a human and technological perspective. A comparison between current learning methods and AI-enabled learning approach will be presented. Additionally, the potential shifts of the current ID practices, especially the role of AI in the instructional process, including its impact on analysis, design, development, and evaluation will also be discussed. By leveraging AI functionality, humans can be released from performing fundamental activities and focus on tasks or activities which are more complex. Hence, this paper will also provide some insights on some new emerging roles (i.e., AI content strategist and AI technology specialist) that are prospering and certain specific roles (i.e., content accessor and learning experience designer) that are gaining more significance in the instructional design process. It is also crucial to understand how human and machine interact and the ways it allows an improvement of the learning experience of the individuals in the AI-enabled learning ecosystem. Hence, the potential benefits and challenges will be discussed and recommendations for future practice will also be offered.