This presentation explores the transformative impact of artificial intelligence (AI) on astronomy, a field increasingly characterized by big data. With the advent of advanced telescopes like the Rubin Observatory/LSST, Euclid, and Roman, which are set to generate vast amounts of data, AI's role in enhancing astronomical discoveries is crucial. We highlight the potential of AI, emphasizing the necessity for sophisticated data processing techniques to handle extensive datasets from upcoming massive surveys. We discuss the integration of AI into astronomy, focusing on methodologies like machine learning and deep learning, which are pivotal in interpreting complex astronomical data. The presentation also touches on educational initiatives at Illinois, particularly the ASTR 596 AI course, which aims to bridge the gap between AI and astronomy. Finally, we consider the future of AI in astronomy, particularly the emerging significance of foundation models, which promise to revolutionize both astronomical research and educational approaches. We advocate for a proactive embrace of AI advancements to prepare for a new era of astronomical discoveries.