Guest Column: AI-Driven Music Advertising Campaigns Are On The Rise

Music advertising is entering a new phase. For decades, brands have used music as a creative layer, a memorable jingle, a celebrity artist, a soundtrack or a branded anthem. Artificial intelligence is now pushing that relationship further, changing not only how music is produced, but how brands can build, adapt and deploy sonic identities.

The shift is significant because music has always been one of advertising’s strongest emotional tools. A familiar melody can trigger recall almost instantly, while the right artist can give a campaign cultural relevance. AI is adding a new dimension to this equation: speed, experimentation and scale.

One of the clearest examples comes from Mastercard, which has been developing its sonic identity beyond a conventional brand jingle. Its AI-powered Sonic Studio allows users within its brand network to create music incorporating Mastercard’s sonic DNA, with tracks adapted to different genres, moods and requirements. The idea demonstrates how AI can turn a fixed sonic asset into something more flexible and usable across multiple brand touchpoints.

This is an important distinction. The future of AI in music advertising may not simply be about asking a machine to “make a song”. It could be about giving brands the ability to generate multiple musical expressions from one core identity.

Coca-Cola offers another interesting example. Through its Coke SoundZ initiative, the brand captured the sounds associated with drinking Coca-Cola and used AI to compose music from them. The project transformed something as ordinary as the sound of opening and drinking the product into an interactive musical experience, with artists and producers also engaging with the resulting sounds.

That changes the creative question from “What music should accompany the advertisement?” to “Can the product itself become music?”

For India, the opportunity could be even more interesting.

The country's advertising landscape spans multiple languages, regions and musical cultures. A national campaign may need different sonic treatments for different audiences. AI-assisted production could help brands explore regional instrumentation, arrangements and versions while maintaining a recognisable central sonic identity.

There are already early examples of this approach emerging in India. Cafe Blob, in a campaign developed by QED India and QED Live, used AI to create a custom brand anthem and rap specifically around the café’s personality rather than relying on stock music or a trending track.

Such experiments point towards a broader opportunity for smaller brands. Historically, developing an original music identity required composers, producers, musicians, studios and significant production budgets. AI-assisted tools can potentially lower the entry barrier and allow more brands to experiment with original sound.

But this does not mean the creative process becomes fully automated.

In fact, the stronger argument for AI may be that it gives human creators more room to experiment.

A composer who previously had the time to develop three musical directions may now be able to prototype 20. A music supervisor could explore different moods before selecting one. An agency could test multiple sonic routes for different audiences without committing significant production resources at the ideation stage.

That makes AI less of a replacement and more of a creative accelerator.

There is also an emerging opportunity around personalisation. Imagine a brand anthem that can be adapted for different markets, languages or audience segments while retaining the same sonic DNA. A campaign could have a Punjabi hip-hop treatment for one audience, a regional folk-inspired arrangement for another and a contemporary electronic version for a younger digital audience.

The technology may make those iterations faster. But deciding what sounds culturally authentic remains a human job.

That distinction will become increasingly important as AI-generated music enters advertising at scale.

The industry is already confronting questions around copyright, training data, artist consent, synthetic voices and ownership. Mastercard’s AI Music Studio, for instance, is positioned within a controlled brand ecosystem, while its earlier Artist Accelerator programme used generative AI technology to support artists creating music.

For advertisers, this means AI adoption cannot be separated from rights management. The convenience of generating music does not automatically answer who owns it, whose work may have influenced it or whether an artist’s voice or musical identity can be replicated.

The bigger opportunity, therefore, lies in building responsible creative systems around the technology.

Brands that simply use AI to produce cheaper background music may gain efficiency. Brands that use it to develop distinctive sonic worlds could potentially create something much more valuable.

Because the next evolution of music advertising may not be about replacing the composer with an algorithm. It may be about giving the composer, artist, agency and brand a much bigger creative canvas.

AI can generate possibilities. Humans still decide which possibility deserves to be heard.

And in advertising, that difference matters. Because a campaign can be technically impressive, instantly generated and perfectly produced, but if the music does not make people feel something, it remains just another piece of content.