This review article discusses the future of cardiovascular magnetic resonance (CMR), focusing on two approaches: "all-in-one" and "real-time" CMR. The "all-in-one" approach aims to collect multiple types of information simultaneously in a single scan, while "real-time" CMR seeks to accelerate the examination to avoid breath-holding and cardiac gating. The article outlines the vision, techniques, and challenges of each approach, with Part 1 focusing on "all-in-one" methods. Cardiovascular CMR is powerful due to its ability to capture a wide range of physiological processes, but traditional protocols are lengthy and complex, requiring multiple sequences for different cardiac features. This leads to long scan times and challenges in clinical implementation. Recent advancements in pulse sequence design, image reconstruction, and analysis have enabled more efficient CMR protocols. The "all-in-one" approach uses advanced imaging frameworks to simultaneously acquire multiple types of information, such as motion, relaxation, and contrast agent dynamics. Techniques like joint T1/T2 mapping, magnetic resonance fingerprinting (MRF), and multitasking have shown promise in reducing scan times and improving data efficiency. These methods enable co-registered, multi-parametric imaging with high spatial and temporal resolution, potentially replacing traditional serial scans. However, challenges remain, including the need for patient-specific dictionaries, computational complexity, and the integration of artificial intelligence/deep learning for faster and more accurate reconstructions. Despite these challenges, "all-in-one" CMR offers significant advantages, such as reduced scan times, simplified patient preparation, and more comprehensive multi-parameter analysis. The article highlights the potential of these methods to improve clinical outcomes and facilitate faster, more efficient cardiac imaging. Part 2 of the manuscript will explore "real-time" CMR approaches and provide an overall summary of these emerging techniques.This review article discusses the future of cardiovascular magnetic resonance (CMR), focusing on two approaches: "all-in-one" and "real-time" CMR. The "all-in-one" approach aims to collect multiple types of information simultaneously in a single scan, while "real-time" CMR seeks to accelerate the examination to avoid breath-holding and cardiac gating. The article outlines the vision, techniques, and challenges of each approach, with Part 1 focusing on "all-in-one" methods. Cardiovascular CMR is powerful due to its ability to capture a wide range of physiological processes, but traditional protocols are lengthy and complex, requiring multiple sequences for different cardiac features. This leads to long scan times and challenges in clinical implementation. Recent advancements in pulse sequence design, image reconstruction, and analysis have enabled more efficient CMR protocols. The "all-in-one" approach uses advanced imaging frameworks to simultaneously acquire multiple types of information, such as motion, relaxation, and contrast agent dynamics. Techniques like joint T1/T2 mapping, magnetic resonance fingerprinting (MRF), and multitasking have shown promise in reducing scan times and improving data efficiency. These methods enable co-registered, multi-parametric imaging with high spatial and temporal resolution, potentially replacing traditional serial scans. However, challenges remain, including the need for patient-specific dictionaries, computational complexity, and the integration of artificial intelligence/deep learning for faster and more accurate reconstructions. Despite these challenges, "all-in-one" CMR offers significant advantages, such as reduced scan times, simplified patient preparation, and more comprehensive multi-parameter analysis. The article highlights the potential of these methods to improve clinical outcomes and facilitate faster, more efficient cardiac imaging. Part 2 of the manuscript will explore "real-time" CMR approaches and provide an overall summary of these emerging techniques.