The future of mastering music could be very much cooked. A very contributing reason to this would be Artificial Intelligence. AI-driven platforms like Izotope Ozone 9 are already providing automated mastering services. These tools analyze tracks and apply mastering adjustments to optimize sound quality. Machine learning algorithms could allow for more personalized mastering processes, where the system learns an individual artist’s style and preferences, tailoring the mastering process accordingly. Ozone 9 even be assigned a reference track, as to copy the exact design of the master. As AI technology advances, these services will become more sophisticated, potentially offering results comparable to human engineers. AI mastering services are often more affordable than traditional mastering, making high-quality mastering accessible to independent artists and smaller labels who might not afford professional mastering engineers. AI can also provide consistent results, ensuring that tracks within an album have a uniform sound. This consistency can be particularly beneficial for genres requiring a high degree of sonic uniformity. However, mastering is not just a technical process, it’s an art. Human mastering engineers bring years of experience, nuanced understanding, and creativity to the process. AI, while efficient, may lack the ability to make subjective artistic decisions that a human would. Combining AI with human expertise could provide the best of both worlds. AI can handle routine tasks and initial passes, while human engineers can apply their creative judgment and make final adjustments.