The UK government has backed away from one of its most controversial proposals on artificial intelligence and copyright, signaling a decisive shift towards market-led licensing and greater transparency rather than sweeping legal reforms.
In their long-awaited report on copyright and artificial intelligence, published in March 2026, ministers confirmed that they will no longer pursue a comprehensive copyright exemption for AI training with an opt-out mechanism – a policy that had sparked strong opposition across the UK creative sector.
Instead, the government is opting for a more cautious, evidence-based approach, prioritizing transparency obligations and allowing an emerging but rapidly growing licensing market to develop. The move marks a significant policy realignment at a time when Britain is trying to position itself as both an AI superpower and a global creative hub.
At the heart of the report is a clear admission: the government’s preferred option of allowing AI developers to use copyrighted material unless rights holders specifically object has failed to garner support.
The consultation attracted more than 11,500 responses, with the overwhelming majority of creators, publishers and rights organizations rejecting the proposal entirely.
Ministers now admit that a broad exemption “with an opt-out is no longer the government’s preferred route”, citing strong industry opposition, a lack of consensus and insufficient evidence on the economic impact.
This represents a remarkable victory for the UK’s creative industries, from publishing and music to film and photography, which argued that such an exemption would effectively legalize the free use of their work by generative AI systems.
The report lays bare the fundamental policy dilemma: How to balance AI-driven economic growth with intellectual property protection?
On the one hand, there are AI developers who need huge data sets, often including copyrighted material, to train large language models and generative systems. On the other side are creators whose works support these systems but risk being displaced by them.
The government acknowledges that modern AI models are typically trained on “billions of copyrighted works,” raising complex questions about fairness, consent and competition.
However, it also highlights uncertainty about the economic benefits of the reform and points to limited evidence that relaxing copyright rules would significantly increase AI investment in the UK.
In fact, ministers are opting for a break rather than a gamble.
Instead of legislating, the government is relying on licensing, a market-based mechanism that is already taking shape.
A growing number of deals between AI firms and content owners, particularly in publishing, music and image libraries, suggest a commercial model is emerging. However, the report admits that this market is still “new and developing” and lacks transparency.
What is crucial is that the ministers have ruled out direct intervention for the time being:
“We propose not to intervene in the licensing market at this time… and will continue to explore market-led approaches.”
This position aligns closely with industry sentiment in the creative and technology sectors, which broadly favors voluntary, negotiated agreements over statutory systems.
However, it also raises important questions about bargaining power and appropriate remuneration, particularly for SMEs and individual authors.
Among those embracing the change is Tom West, CEO of Publishers’ Licensing Services (PLS), who sees licensing as both practical and scalable.
West said: “We welcome that the government has listened to the strong response from the wider UK creative industry to its consultation and has backed away from its preferred option of an opt-out copyright exemption and will review the transparency of AI submissions, which would further boost licensing.”
While we await further clarity from the government on the long-term direction of its copyright policy, PLS will continue to serve our publishers and work with our partners on market-based, industry-backed AI licensing solutions.
This approach is already being put into practice. Last week at the London Book Fair, PLS unveiled the first phase of a new collective licensing solution designed specifically to support the use of published content in AI. It received a lot of interest and positive feedback from publishers and industry partners, and publishers have already started signing up. The solution offers AI developers a convenient, scalable way to access high-quality content while ensuring creators get paid and retain control over how their work is used.
There was no plea for the introduction of a new copyright exception. There is no market failure and a dynamic license market for the use of content in AI has developed and continues to grow. Any copyright exception for generative AI would jeopardize these licensing solutions by limiting the ability of rights holders large and small to receive payments for the use of their works in AI and limiting control over their content.
PLS welcomes the government’s commitment to this critical matter. We are committed to a mutually beneficial outcome and invite the government to work closely with us to help advance and promote licensing options that support rights holders of all sizes and AI developers seeking high-quality, trusted content.”
If licensing is the economic mechanism, transparency is the regulatory lever.
More than 90% of respondents supported requirements for AI developers to disclose the sources of training data.
The government agrees in principle, but refrains from immediate regulation. Instead it suggests:
• Developing industry-leading best practices
• Monitoring international frameworks (particularly the EU AI Act)
• Consider future legislation if necessary
Transparency is considered essential to enable enforcement, licensing and trust, especially given that creators often have no visibility into whether their works have been used.
For UK businesses, particularly SMEs, the impact is nuanced.
For creators and publishers
• Greater short-term protection
• Stronger negotiating position for licensing agreements
• ongoing enforcement and visibility challenges
For AI startups and developers
• ongoing legal uncertainty
• Potential cost barriers to accessing training data
• Reliance on licensed or foreign trained models
For the overall economy
• slower regulatory clarity
• Reduced risk of over-regulation
• continued dependence on global AI ecosystems
The report specifically notes that SMEs on both sides, creators and developers, face disproportionate challenges in the current system.
Perhaps the most striking aspect of the report is its tone: cautious, iterative and deliberately non-committal.
The government continually emphasizes the need for more evidence, greater international focus and greater market development before taking decisive legislative action.
With ongoing litigation in the US, new rules emerging in the EU and rapid progress in generative AI, the UK risks being pulled in multiple directions economically, legally and politically.
This is not a resolution, but a holding position.
The government has gained time by withdrawing from comprehensive reforms. But it has also shifted the onus onto the market to prove that licensing can work at scale, fairly and efficiently.
If successful, the UK could still develop a balanced model that supports both innovation and creativity.
If this is not possible, the debate over copyright and AI will return, sharper, louder and far more difficult to resolve.
