When Algorithms Sing
Music Meets Artificial Intelligence
satNRag
6/11/20266 min read
The Song That Stopped the World
In November 2023, The Beatles released a new song. Read that again: The Beatles, the band that broke up over half a century ago, released a new single called "Now and Then." John Lennon's voice, recovered from a scratchy demo cassette using AI audio restoration tools, rang out fresh and clear as if he'd recorded it yesterday. The song won a Grammy for Best Rock Performance in 2025. Millions wept. Millions argued. And the world had its most vivid conversation yet about what happens when artificial intelligence enters the sacred space of music.
That moment crystallised something that had been quietly building for decades: AI is no longer waiting in the wings. It has walked on stage, and it is starting to sing.
A History Written in Code
The story of AI and music begins long before ChatGPT, long before streaming, and long before most of us had heard the phrase "machine learning." In 1956, American composer Lejaren Hiller programmed the ILLIAC computer at the University of Illinois to compose music. The result, the Illiac Suite for string quartet, was the first piece of music ever composed by a computer. It sounded awkward, halting, strange. But it was a beginning.
For decades, AI music remained the domain of academics and experimenters. Systems used rule-based algorithms to mimic composition, producing mechanical imitations of human creativity. The results were often more curiosity than music. That began to change in the 2010s, when machine learning transformed the field entirely.
In 2014, Amper Music launched as one of the first commercially accessible AI composition platforms. In 2016, Google's Magenta project began using neural networks to generate original melodies. That same year, AIVA (Artificial Intelligence Virtual Artist) made history by becoming the first AI composer to be officially recognised by a major music rights organisation (France's SACEM), granting it the legal status of a composer. The ground was shifting fast.
By 2023, the floodgates opened. Suno and Udio, AI platforms that could generate complete songs with vocals, instruments, and production quality from a simple text prompt, arrived and changed everything. According to the IMS Business Report 2025, 60 million people used AI to create music in 2024 alone. The global AI music market was valued at $2.9 billion that year.
The Tools Reshaping Music Today
Today's AI music tools fall into several broad families. Generative platforms like Suno (now on version 5) and Udio allow anyone to type "a melancholic Carnatic-inspired piece with acoustic guitar" and receive a finished track in seconds. Composition assistants like AIVA help composers sketch ideas, generate variations, and explore harmonic possibilities. Production tools use AI to master audio, separate stems, restore old recordings, and clone voices. OpenAI is reportedly developing its own music generation system, and ElevenLabs launched Eleven Music in 2025.
The democratisation is real and remarkable. A teenager in a village with no music training can now produce a complete song. A filmmaker with no budget can score her short film. A grieving family can hear a deceased relative "sing" again at a memorial. These are genuine gifts.
AI Meets the Raga: Indian Classical Music's Encounter with the Machine
For lovers of Indian classical music, the question of AI carries a particular weight. Carnatic and Hindustani music are not simply arrangements of notes; they are living traditions built on ornamentation, emotion, improvisation, and a deeply personal relationship between musician and raga. Can a machine ever understand bhava?
Researchers are taking the challenge seriously. At Georgia Tech, Raghavasimhan Sankaranarayanan built an AI-powered robotic violinist specifically trained to model gamakas, the subtle ornamental slides and shakes that are the soul of Carnatic performance. His machine-learning model was trained on recordings by human masters. Separately, Professor Vinod Vidwans developed an AI system that can generate a complete bandish (classical composition) in a specified raga and render it in traditional style.
Platforms like Musicful now offer Indian classical music generation, claiming to produce authentic Carnatic and Hindustani textures. Educational apps like NaadSadhana, developed by musician Sandeep Ranade, use AI for riyaz (practice) and performance support. But scholars are quick to note that Indian classical forms, with their microtonal nuance, rhythmic cycles, and emotionally coded ragas, remain far more resistant to AI replication than Western pop or even Western classical. The gap between a machine producing notes in Raga Bhairavi and a human performing it with a lifetime of devotion remains vast.
The Storm: Ethics, Ownership, and the Human Soul of Music
Not everyone is celebrating. In 2024, major record labels filed lawsuits against Suno and Udio, alleging that these AI systems were trained on copyrighted music without consent or compensation. Germany's GEMA, representing 95,000 songwriters, launched its own lawsuit in 2025. The legal battles have ended in settlements and the first tentative partnerships between AI companies and major labels, but the core ethical questions remain unanswered.
A remarkable silent protest album was released by a collective of over a thousand musicians, including Kate Bush and Damon Albarn of Blur, whose song titles, read in sequence, spell out the sentence: "The British Government Must Not Legalise Music Theft To Benefit AI Companies." Billie Eilish, Paul McCartney, Stevie Wonder, and Sting have all raised their voices against the unchecked use of AI in music.
US courts have ruled that fully AI-generated compositions cannot be copyrighted - only works involving meaningful human creativity can claim protection. The TRAIN Act and NO FAKES Act are among proposed laws that would require transparency about AI training data and protect artists' voices from being cloned without consent.
At the heart of the debate is a question that goes beyond law: What is music for? Is it a product to be optimised, or a form of human expression that carries meaning precisely because it costs something: time, suffering, devotion, and the full weight of a human life?
🎵 Did You Know?
The Beatles' "Now and Then," released in 2023 using AI to restore John Lennon's voice, won the Grammy for Best Rock Performance in 2025, making it the first Grammy-winning track to use AI vocal restoration on a deceased artist's voice.
In 2016, AIVA became the first AI to receive official composer status from a music rights society (France's SACEM), granting it the same legal recognition as a human composer.
Indian classical music's intricate system of gamakas (ornamental notes) is considered one of the hardest musical features for AI to replicate, because each gamaka carries emotional and spiritual meaning that cannot be reduced to a mathematical pattern.
The first computer-composed piece of music was the Illiac Suite, written by a computer in 1956, 67 years before Suno and Udio made AI music generation available to anyone with a smartphone.
🎧 Recommended Listening & Exploring
"Now and Then" by The Beatles (2023). The AI-restored song that sparked the world's biggest conversation about music and technology. Available on Spotify, Apple Music, and YouTube.
"I Am AI" (full album) by Taryn Southern (2018). The first major album composed entirely with AI tools including AIVA and Amper. A fascinating and surprisingly listenable document of where this all began. Available on Spotify and YouTube.
Magenta Studio experiments by Google Magenta. Google's open AI music research project, with demos and generated compositions. Free at magenta.tensorflow.org
NaadSadhana practice sessions by Sandeep Ranade. An AI-assisted tool for Indian classical raga practice that demonstrates how AI can serve as a sensitive companion for traditional learning. Search "NaadSadhana" on YouTube for demos.
AIVA original compositions by AIVA. Listen to compositions generated by the world's first officially recognised AI composer, and some are surprisingly moving. Available on AIVA's YouTube channel and aiva.ai
Closing Reflection
Music, at its deepest, is an act of presence, one human being saying to another: I felt this, and I wanted you to feel it too. That is what Bismillah Khan's shehnai communicates. That is what M.S. Subbulakshmi's voice carries. That is why a Kerala Sopana melody at dusk can make a stranger weep.
AI cannot yet replicate that presence, and it may never fully do so. But it is already reshaping who gets to make music, how music gets made, and who profits from it. The tools themselves are morally neutral; what matters is how we choose to use them: whether in service of human creativity, or as a replacement for it.
Perhaps the most honest thing we can say is this: the machine can learn to arrange notes in the shape of a raga. But the raga, at its heart, is a prayer — and prayers require a soul to send them.
I've been quietly exploring this space myself. Using Suno AI, I've composed a series of instrumental pieces designed for yoga, meditation, relaxation, and sleep, music that asks the listener to slow down, breathe, and be still. Whether AI composed the notes or a human did matters less, perhaps, when the music genuinely serves that purpose. You can judge for yourself:
Links below.
If these resonate with you, I'll be writing more about the creative process behind them: how I worked with Suno, the moods and textures I was reaching for, and what it feels like to guide an AI toward something that, if all goes well, sounds like stillness.
