Low-code platforms like MATLAB and Simulink can provide benefits by lowering the barrier to unique AI creations. They are useful for structuring and labeling data, generating ML models, and bridging different programming languages. Low-code also makes collaboration easier, and it can enhance understanding of code structure and syntax. Low-code is important for democratizing AI, empowering non-technical users, and creating custom AI-driven functionality.