Societal Impact of AI: Government Policy

Chris Hinchliff Excerpts

Wednesday 8th July 2026 Westminster Hall

[Neil Duncan-Jordan]

I thank the hon. Gentleman for his second intervention—let us see whether he can make it a hat trick before I finish. The reality is that AI is here now. We have to deal with how it impacts on today’s workers and future workers as well. This is not one generation against another, and I know the hon. Gentleman understands that.

The Government could seek to equalise tax treatment, actively explore widening the digital services tax to include AI companies, which it currently excludes, and raise the level of the tax from 2% to the European average. We cannot allow the use of machines to be made artificially cheaper than employing people.

It is important to look at AI sovereignty, which the hon. Member for Dewsbury and Batley (Iqbal Mohamed) mentioned earlier. The UK is growing increasingly dependent on US tech, and owns little of the data infrastructure and AI models on which the future economy will increasingly rely. This repeats the pattern of recent decades in other sectors, whereby essential national infrastructure has passed into overseas ownership and money has flowed offshore, leaving British people with less and less control over the essentials of a good life. That dependence not only creates security risks, as has been mentioned, but prevents the UK from capturing and distributing any AI windfall.

We need to give UK companies a meaningful chance to compete. The Competition and Markets Authority could use existing powers to take on the concentration in the cloud market, which underpins the AI companies’ business models. A progressive sovereign AI programme should involve an industrial strategy that seeks to expand public investment in the sector and impose strict conditions on private access to public assets, alongside active support for models such as co-operatives, public interest companies and other democratic ownership models, so that the gains of AI can be captured and shared throughout the UK.

At the heart of this debate is the role of the public. Big decisions about AI, such as where data centres are built and how AI is deployed in public services, are being taken with little democratic input.

[Chris Hinchliff (North East Hertfordshire) (Lab)]

I apologise in advance, Ms McVey, that I need to go to a Select Committee so cannot attend the full debate. My hon. Friend is, as usual, right about everything. Does he agree that public resistance to the construction of data centres is due not just to concern about the impact on the environment, but to underlying public scepticism about the breathlessness with which politicians talk about economic growth driven by digital technology when we have an economy that has a completely unsustainable food system, is not delivering genuinely affordable homes, has rubbish public transport in many parts of the country, and is not delivering the basics?

[Neil Duncan-Jordan]

One data centre, even a modest one, uses the same amount of electricity as 100,000 homes. The bigger the data centre, the more electricity it uses. Very few of them run off renewables, so that is another issue we need to address. The communities that host the infrastructure see the costs, in water, energy and land, without getting any of the benefits that we have discussed.

These big debates are why the Government must embed ongoing public and democratic oversight of the AI transition and legislate for community benefit where infrastructure is built, including a share of the value created locally. We must ensure that the AI revolution does not lead to more power being in the hands of a few who can determine our future. Governments must build independent, publicly funded alternatives to ensure that AI is developed for the common good. Only public investment can support AI that prioritises social and environmental challenges. We need an “AI for the people” strategy—one that starts to recognise the challenges we face and has the ideas to meet those challenges head on.