Agreeing on new approaches in music comes down to having a clear reason why. What does it add either creatively or commercially (or ideally both)? Disagreements often arise from the absence of purpose. For example, instead of using AI-generated sounds for its own sake, consider the time gains or unlock creative elements that were not previously possible.

I recommend that the team foster open dialogue to address concerns and explore the potential benefits of integrating technology. It is essential for both parties to collaborate and experiment with ways to create a synergistic relationship.

New technology can be intimidating for anyone to use or integrate. I think the first step is to put any apprehensions to rest with a surety of the current practices and workflow being improved on, simplified and enhanced. Nothing would be taken away, only simplified. Arrange for every to have a demo, assess and discuss outcomes and the costs of integrating new technology. It would also be best suited to determine which band member would be best adapted to thereafter be responsible for the full and proper integration on a regular basis. Music technology can offer a lot of workflow flexibility and choices and must not be ignored, in todays contemporary music production landscape.

I would create a safe space for everyone to share their thoughts on new technology; this promotes understanding and may unveil common ground. Listen to each perspective—some may fear that technology could overshadow their craftsmanship while others see it as a tool for creative enhancement. To create a balanced sound, exploring a middle ground is essential. An approach could involve a trial period where both traditional sounds and modern technology are integrated into practice sessions. This collaborative exploration allows band members to experience the advantages of technology firsthand, helping to ease initial resistance. Ultimately, creating a blend of old and new can often lead to unexpected and enriching musical experiences.

Using AI for the complete composition of a song feels immature and even amateurish to me. The unpredictability and lack of control over the outcome make this approach unreliable. In my view, the greatest potential of this technology lies in the fragmentation of functions. The more specific its use within the creative process, the better. Applying it for fine adjustments, quantization, minor production tweaks, and other technical details seems like a much more strategic and efficient approach. This kind of application not only preserves artistic identity but also optimizes the creative process. My recommendation? Use AI as a production plugin, not as a substitute for the artist.