This chapter explores the transformative role of Artificial Intelligence (AI) in enhancing Cardiac Magnetic Resonance Imaging (CMR) and its integration in cardiology, analyzed through a comprehensive SWOT framework, examining its strengths, weaknesses, opportunities, and threats. AI has revolutionized CMR by improving diagnostic precision, reducing acquisition times, enabling non-contrast imaging, and automating workflows, thus enhancing accessibility and patient comfort. CMR, recognized as the gold-standard imaging modality for its tissue characterization and functional assessment capabilities, significantly impacts clinical outcomes in cardiovascular disease management. However, the adoption of CMR faces challenges, including high costs, technological complexity, limited accessibility, and the need for specialized training. These factors restrict its broader use, particularly in low-resource settings. Patient cooperation, prolonged scan times, and contraindications with certain implanted devices add further practical hurdles. Opportunities abound in AI-enhanced imaging, enabling personalized diagnostics, superior prognostic capabilities, and precision medicine approaches in cardiology. Yet, CMR’s position is increasingly challenged by advancements in competing modalities such as CT and echocardiography, coupled with ethical, regulatory, and technological barriers to AI integration. This chapter emphasizes the necessity for innovation and cross-sector collaboration to overcome these challenges, ensuring that AI-enhanced CMR continues to evolve and maintain its pivotal role in the future of cardiac imaging and healthcare delivery.