11 Mar 2026
by Daniella Bennett Remington

techUK Response to the Lords Communications and Digital Committee Report, ‘AI, Copyright and the Creative Industries’

Whilst we are not in agreement with the recommendations advanced by the Committee in today’s report, techUK remains keen to work constructively with Government and the creative industries to develop a copyright framework that ensures the UK can effectively compete when it comes to AI moving forward.  More clarity around how to incentivise text and data mining (TDM) would help ensure that the UK can better provide business clarity and attract investment for AI development, deployment, and fine-tuning. 

Overview 

On 6 March 2026, the Lords Communications and Digital Committee published the outcome of their inquiry into AI and copyright.  

The report discourages the Government from introducing a new TDM exception with an opt-out mechanism, advocates for statutory transparency requirements for on AI training data, and urges the Government to act against unauthorised digital replicas “in the style of” of creators’ work.  

What is a TDM exception? 

Text and data mining is a powerful tool that can be used to analyse large amounts of information to turn it into useful insights. It does not necessarily need to involve AI. 
 
As its name suggests, a TDM exception would introduce an exception to copyright law that would allow copyrighted works to be used for commercial TDM purposes, for example data analysis for training AI. At present, in the UK, this is only permitted for the training of non-commercial research purposes, or where what is used is accompanied by a sufficient acknowledgement. This limits the scope of data available to train AI.  

In the Government’s consultation on AI copyright, which was launched in December 2024, the aim was to clarify the application of copyright law to AI model training to prevent ongoing uncertainty, which is stalling innovation. The Government put forward four proposals to frame this conversation: Option 0, no legal change, maintain the current provisions; Option 1, reform the current protection to clarify its scope; Option 2, remove specific protection for computer-generated works; and, Option 3, a data mining exception which allows rights holders to reserve their rights, underpinned by supporting measures on transparency, i.e. an opt out.  

More information on our response to this consultation can be accessed via this link

 

Taken together these recommendations would significantly restrict the ability to train and fine tune AI model in the UK. This sits uneasily alongside the Committee’s suggestion in the UK, lay alongside a suggestion that the UK should prioritise the development and adoption of sovereign AI models. In practice, building that sovereign AI capability could easily struggle to access the data that makes that level of training and fine tuning possible without copyright clarity. 

At the same time, the UK risks drifting further behind other major AI economies. Countries including the United States, Japan, Singapore and the European Union have already moved faster to provide legal clarity around text and data mining, creating more predictable environments for AI development and investment. Meanwhile the UK has remained in limbo while decisions on how copyright reform could help the UK be an AI maker have been delayed. 

techUK strongly believes that the growth and development of the UK’s AI industry is reliant on a stable copyright regime that allows access to training data through a TDM exception.  

We do agree with the Committee’s view that the emerging market for licensing content for AI use should be allowed to continue to develop, rather than relying on a single marketplace initiative. 

techUK View 

The UK now faces a clear strategic choice about the role it wants to play in the global AI economy. A copyright regime that is significantly more restrictive than those in other major AI economies will only further cement that AI development is more likely to happen elsewhere.  

Despite the Committee’s hesitancy to consider international examples, techUK Deputy CEO, Antony Walker, raised the need to understand the UK’s copyright position in a global context in his oral evidence.  

International context matters and the UK currently risks losing its position as a world leader in both technology and the creative economy. The UK is currently falling behind countries like the US, Japan, Singapore, and others who have clearer copyright frameworks that attract AI training and finetuning. These frameworks recognise a simple reality – AI development is global and companies are more likely to build and train AI solutions where there are clearer, more predictable rules. 

Moreover, the Government risks jeopardising current and future data infrastructure investment in the UK. Our members have warned that without reform, the UK also risks becoming primarily a deployment market for models trained elsewhere rather than a place where AI is built. The economic implications are significant. Training activity drives sustained demand for compute and data infrastructure. If training takes place overseas, the UK risks suppressing domestic demand for frontier compute and structurally limiting the growth of its AI infrastructure ecosystem.  

The UK should be aiming to create an environment where both the creative industries and AI developers can succeed. Restricting AI training in the UK will not prevent AI systems being trained on globally available data. It will simply ensure that the jobs, investment and economic benefits associated with that development take place elsewhere. 

A clear, workable framework anchored around a TDM exception would keep AI development in the UK while allowing the market for licensing and creator compensation to evolve. 

The question facing policymakers is therefore not whether AI development will continue. It is whether the UK chooses to be an AI maker or an AI taker. 

techUK’s Deputy CEO, Antony Walker, responded to the report saying: 

The UK needs a way forward on AI copyright that works for the whole of the UK economy. But to do that we have to recognise that the US, Japan, Singapore and even the EU have much more enabling environments for AI development and deployment. The Committee was explicit that it didn't want to hear about international approaches when we gave evidence, and that central flaw is apparent in the conclusions. 

This report is based on the misconception that the UK’s copyright regime can exist in splendid isolation from the rest of the world. In fact, these recommendations are a recipe for ensuring that the UK is an AI taker rather than an AI maker. The most likely scenario based on these recommendations is that AI models continue to be largely trained in the US and that the ultimate legal framework of AI copyright is determined by the US courts. 

We believe we need a better approach that works for both the UK’s creative and technology sectors if we want the UK to play a leading role in defining the global AI future.

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Meet the team 

Antony Walker

Antony Walker

Deputy CEO, techUK

Nimmi Patel

Nimmi Patel

Associate Director for Policy, techUK

Alice Campbell

Alice Campbell

Head of Public Affairs, techUK

Edward Emerson

Edward Emerson

Head of Digital Economy, techUK

Samiah Anderson

Samiah Anderson

Head of Digital Regulation, techUK

Jake Wall

Jake Wall

Policy Manager, Skills and Future of Work, techUK

Archie Breare

Archie Breare

Policy Manager - Skills & Digital Economy, techUK

Daniella Bennett Remington

Daniella Bennett Remington

Policy Manager - Digital Regulation, techUK

Oliver Alderson

Oliver Alderson

Junior Policy Manager, techUK

Tess Newton

Team Assistant, Policy and Public Affairs, techUK

 

 

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Authors

Daniella Bennett Remington

Policy Manager for Digital Regulation, techUK