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Production music libraries & AI: Future Outlook

Production music libraries have become an integral part of the music industry, providing affordable and high-quality music for a wide variety of projects. The history of production music libraries goes back over 100 years and has seen significant growth and development since its inception.


The earliest form of production music was known as "library music," which was created for use in film and television productions. In the 1950s, the first music libraries were established, providing a wide range of music for various purposes. Since then, the industry has grown exponentially, with production music libraries offering everything from cinematic soundscapes to jingles for commercials.


One of the most recent developments in the world of production music is the potential for AI to play a greater role in the composition and creation of music. While there are concerns that AI could replace human composers, the reality is that it has the potential to assist them in the creative process.


For example, AI can help identify trends in music usage and consumption, which can then be used to create more effective and relevant music for specific projects. This technology can also be used to analyze existing music and generate new, similar pieces based on its findings. This means that composers can spend more time focusing on the creative aspects of their work, rather than the administrative tasks associated with music production.


Additionally, AI can help composers in the music licensing process. With more and more music being produced each day, it can be challenging for composers to ensure their work is heard and used. AI can help identify potential licensing opportunities, allowing composers to focus on the creative aspects of their work rather than the business side.


The future of production music libraries is bright, and AI is sure to play a major role in its continued growth and development. For aspiring production music composers, it's important to stay up-to-date with trends and advancements in the industry. By doing so, composers can position themselves for success and continue to create innovative and impactful music for a wide variety of projects.



It's important to understand that AI is currently not meant to replace composers, but rather to augment their skills and creativity. By leveraging the power of AI, composers can enhance their workflow, streamline their processes, and achieve more efficient and effective results.


One of the main ways composers can use AI is by using it to generate music samples or phrases that they can then use as a basis for their own compositions. This can help jumpstart the creative process, and provide a starting point for a piece of music. For example, companies like Mixed In Key and AIVA offer AI-generated music samples that composers can use as a basis for their own compositions.


Another way composers can use AI is by using it to analyze existing music and identify patterns, chord progressions, and other elements that can help inspire their own compositions. Software like Tunebat & Hooktheory uses AI to analyze existing music and generate new musical ideas based on the patterns they find.


AI can also enhance the mixing and mastering process, by automating certain tasks and providing suggestions for improvements. Software like iZotope's Ozone and LANDR offer AI-powered mastering tools that can help improve the sound quality of a recording.


Furthermore, AI can help composers in the production music library industry by providing insights into what types of music are currently in demand, and what types of music are likely to be in demand in the future. This can help composers tailor their compositions to meet the needs of their clients, and ensure that their music is relevant and marketable.


There are many resources available for composers looking to incorporate AI into their workflows. For example, the Creative AI Lab offers a range of resources and tools for composers, including resources on how to integrate AI into the music creation process.


In conclusion, AI can be a powerful tool for composers in the production music library industry. By using AI to generate music samples, analyze existing music, enhance the mixing and mastering process, and gain insights into what types of music are in demand, composers can enhance their creativity, efficiency, and success in the industry. There are many resources available for composers looking to incorporate AI into their workflows, and by doing so, they can stay ahead of the curve and thrive in a constantly evolving industry.

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