Yet most people haven’t noticed yet.

For all the headlines and sensationalism surrounding artificial intelligence and music over the last two years, the real story has not been happening publicly at all.”

It has been happening inside boardrooms, policy discussions, licensing negotiations and closed-door meetings between music companies, technology firms and rights holders attempting to determine what the next decade of creativity, ownership and compensation actually looks like.

Offering a clearer insight into that rapidly emerging landscape, a new report commissioned by the BPI and undertaken by WPI Economics lays that reality out very clearly.

Far from positioning AI as some distant future issue, the report shows that the UK music industry is already moving toward an emerging licensing economy built around artificial intelligence, intellectual property and commercial partnerships.

The report arrives after a year of fierce debate around whether UK copyright law should be weakened to accommodate AI training systems, a move many within the creative industries warned could destabilise emerging licensing markets before they fully develop.

Top Findings From The Report

The report presents one of the clearest snapshots yet of how the UK music industry currently views AI, licensing and future economic growth:

• The UK music industry contributed £8 billion to the economy in 2024, generated £4.8 billion in exports and supported 220,000 jobs.

• The UK remains the third biggest music market in the world and the second largest exporter of recorded music globally.

• 77% of independent BPI members surveyed believe licensing music for AI use is key to future growth.

• 77% of AI users believe artists and rights holders should be paid if their work is used by AI to create new music.

• 97% of BPI members surveyed believe the current copyright framework is critical to enabling AI licensing.

• As of 2026, there have already been more than 270 commercial licensing agreements struck between rights holders and AI developers across creative sectors.

• The UK AI sector is now valued at over £72 billion and employs more than 60,000 people across 3,700 companies.

• Goldman Sachs predicts the global recorded music market will grow from $31.4 billion in 2025 to $55 billion by 2035.

Meanwhile, the UK AI sector is now valued at over £72 billion, making it the third largest AI market in the world behind only the United States and China. The country currently hosts more than 3,700 AI companies employing over 60,000 people.

Those two sectors are now colliding at maximum speed. The speed of change has become difficult to track even for people working inside the industry itself.

Much of the public conversation around AI and creativity has centred on fear, often understandably.

Musicians have watched cloned vocals spread online while artists across every discipline continue asking the same unresolved issue: what exactly have AI systems already been trained on, and who consented to it?

That anxiety has already spilled into legal action. In 2024, Universal Music Group, Sony Music and Warner Music jointly sued AI music generators Suno and Udio, accusing the companies of mass copyright infringement after alleging copyrighted recordings had been used to train generative music systems without permission.

More recently, artists have also begun mobilising collectively. In early 2026, more than 800 artists and public figures, including Cate Blanchett, R.E.M. and Scarlett Johansson, signed an open letter condemning the unlicensed use of copyrighted creative work in AI training systems.

Meanwhile, the UK AI sector is now valued at over £72 billion, making it the third largest AI market in the world behind only the United States and China. The country currently hosts more than 3,700 AI companies employing over 60,000 people.

The report does not avoid that tension. In fact, it openly acknowledges that uncertainty around copyright law and ongoing opacity surrounding AI training data have slowed the development of the licensing market already beginning to emerge.

That opacity has become one of the defining issues of the AI era. Tech companies are building systems capable of generating music, text, imagery and voices at industrial scale, while many creators still have little visibility into whether their own work helped build those systems in the first place.

But unlike some of the more extreme positions now dominating online discourse, the report does not frame AI and the music industry as enemies trapped in some inevitable war.

Instead, it frames licensing as the commercial bridge between technological innovation and creative rights.

Historically, the music industry has always adapted through licensing. Vinyl gave way to CDs. CDs gave way to streaming.

Even after the destruction caused by Napster, LimeWire and mass piracy in the early 2000s, licensed streaming models eventually rebuilt parts of the industry’s economic infrastructure.

The report argues that AI may follow a similar trajectory.

Tech companies are building systems capable of generating music, text, imagery and voices at industrial scale, while many creators still have little visibility into whether their own work helped build those systems in the first place.

Agreements Between Rights Holders and AI Developers

As of 2026, there have already been 274 commercial agreements struck between rights holders and AI developers across the creative industries.

Some of the world’s largest music companies, including Universal Music Group, Warner Music Group and Sony Music, have already entered licensing partnerships with AI firms such as NVIDIA, Klay, Udio and Stability AI.

The report also reveals that 77% of independent BPI members surveyed believe licensing music for AI use is key to future growth, while 77% of AI users believe artists and rights holders should be paid if their work is used by AI to create music.

That public alignment around compensation is striking because it undermines the idea that audiences simply want unlimited AI access regardless of ethics or ownership.

Most people appear perfectly capable of understanding that if technology companies profit from human creativity, creators should be compensated for it.

The report becomes more interesting when it moves beyond economics and into the wider political implications of all this.

For years, sections of the tech sector have treated copyright law as an inconvenience standing in the way of innovation. The report takes the opposite position entirely, arguing that copyright is what allows sustainable innovation to happen in the first place.

Nearly every independent BPI member surveyed, 97%, said the current copyright framework is critical to enabling AI licensing. In all fairness, that figure alone tells its own story.

The industry is not rejecting AI outright. It is demanding enforceable systems around consent, attribution, transparency and compensation.

The report repeatedly returns to the need for clearer labelling of AI-generated outputs, transparency around training data and stronger enforcement of UK copyright law.

Without those protections, the licensing market risks becoming unstable before it has properly formed.

Major Label V Indie Label Dominance

There is also a deeper issue running beneath all of this which the report touches on, even if somewhat cautiously. Large corporations already possess the legal teams, leverage and infrastructure to negotiate licensing agreements. Smaller labels, independent artists and emerging creators do not.

The danger is not simply technological disruption. It is, as it always is within the music industry; a concentration of power.

The music industry already operates through enormous structural imbalance around ownership, visibility and access. AI licensing could either create new revenue opportunities across the sector or further centralise power among companies already controlling the majority of catalogue rights and market infrastructure.

That becomes especially relevant for independent artists, women creators and marginalised communities who have historically struggled to access the same resources and protections as major rights holders.

Still, there is a noticeable shift in tone throughout the report. Panic has largely given way to pragmatism. AI is no longer being discussed as some hypothetical future threat looming over the horizon.

The market is already forming. Licensing agreements are already being signed. AI tools are already woven into parts of the creative process itself.

The argument now revolves around what kind of ecosystem emerges around that reality.

The UK music industry has spent decades adapting to technological upheaval. Streaming, piracy, social media and short-form video all fundamentally changed how music is consumed and monetised.

Artificial intelligence now represents another major restructuring point, except this time the technology reaches directly into the creation process itself.

The infrastructure built over the next few years around licensing, copyright, transparency and creator protections will shape who benefits financially from this next era of music technology, and sadly who gets left behind inside it.