As a musician and producer who’s been in the industry for over a decade, I’ve seen my fair share of technological advancements . But none have stirred up as much controversy and fear as artificial intelligence in music production.
If you’re feeling anxious about AI’s role in our creative field, you’re not alone .
Let’s dive into some common concerns and explore how we might navigate this changing landscape together.
Everything you need to know:
✓ 71% of musicians fear AI will make earning a living impossible
✓ AI tools can enhance workflow and inspire new creative directions
✓ Adapting to AI in music production is crucial for future success
Fear 1: Will AI wipe out my job in music?
The fear of job loss is perhaps the most pressing concern for many musicians. A recent French-German study found that 71% of musicians worry AI will make it impossible to earn a living . It’s a valid concern – after all, if an AI can compose a catchy tune in seconds, where does that leave us human creators?
But here’s the thing: AI is a tool, not a replacement . Just as synthesizers and drum machines didn’t eliminate the need for musicians, AI is likely to become another instrument in our creative arsenal.
In fact, many artists are finding that AI can enhance their workflow, like Daniel Bedingfield , allowing them to focus more on the uniquely human aspects of music creation.
Fear 2: The loss of authenticity in music
Can an AI-generated song truly capture the emotional depth and nuance of human experience? While it’s true that current AI models struggle with emotional complexity, they excel at generating ideas and inspiration. As artists, our role may shift towards curating and refining AI-generated content , infusing it with our personal touch and emotional resonance.
Many musicians initially approach AI tools with skepticism, but experimentation often reveals their potential to overcome creative blocks and explore new musical territories. For instance, AudioCipher, an AI-powered MIDI plugin , has been gaining attention in the music production community. This innovative tool generates chords and melodies based on words that you type in, offering a unique approach to music creation.
AudioCipher works by translating text input into musical data , providing a bridge between lyrical ideas and melodic structures. For example, a producer could type in a key phrase from their lyrics, and AudioCipher would generate a corresponding melody or chord progression.
This can be particularly useful when facing writer’s block or seeking fresh musical ideas that align with lyrical themes.The tool’s ability to quickly generate musical ideas from text can spark creativity in unexpected ways. It offers a starting point that musicians can then modify, expand, or use as inspiration for their own compositions.
As demonstrated by producers like Simulation Beats, who used AudioCipher V3 in FL Studio to turn a short lyrical snippet into a full song, the plugin can be a powerful addition to a musician’s toolkit.
If you’re feeling overwhelmed by the rapid advancement of AI in our industry, remember that adaptation is key . Here are some resources to help you learn more about AI in music production:
AI music online courses:
AI music production boot camp | Udemy
This comprehensive course covers various aspects of AI in music production, including using AI for melody generation, chord progressions, and even full song creation. It explores popular AI music tools and teaches how to integrate them into your workflow.
AI Music Production Boot Camp | Udemy
The technology of music production | Coursera
The AI music launchpad | The AI Musicpreneur
A collection of 25+ AI music tools in 1 FREE simple guide
This guide helps you to create music, mix and master your tracks with AI, split songs into stems in seconds, clone and monetise your voice & more.
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AI music YouTube tutorials
“AI Music Production: From Idea to Finished Track”
Demonstrates the use of various AI tools in music production , including sample generation, MIDI conversion, and vocal processing
Explores the current capabilities and limitations of AI in music creation, mixing, and mastering
It begins…how AI will change music creation – YouTube
3 ways I’m using AI in my music
AI music industry podcasts
Music tectonics podcast episode:
↳ “AI Music Pulse Check with Chris Wieduwilt, AI Musicpreneur: The Colossal Future”
In this episode, host Dmitri Vietze talks with Chris Wieduwilt, known as the AI Musicpreneur, about his journey from struggling musician to becoming a vanguard for AI empowerment in music.
They discuss the wide range of AI music tools available , focusing on what artists might find interesting and useful.
The conversation covers various aspects of AI in music, including:
The variety and scope of AI tools that exist for musicians
Ethical considerations and ownership debates surrounding AI-generated music
Potential impacts of AI on human creativity in the music industry
Specific use cases, such as AI in live performances (like the Elvis evolution show in London)
This episode provides valuable insights into the current state and future potential of AI in the music industry, making it an excellent resource for musicians looking to understand and leverage AI tools in their work.
Can AI make music that’s worth listening to? – The AI Show with John Koetsier
By educating ourselves and embracing AI as a collaborative tool rather than a threat, we can harness its potential to push the boundaries of our creativity. After all, the most powerful instrument in music will always be the human mind and heart .
Let’s face our AI fears together and shape a future where technology and human creativity coexist in harmony. Who knows? The next groundbreaking musical innovation might just come from your collaboration with AI.