The Autumn Budget 2026: what it means for technology and artificial intelligence (AI)

Chancellor Healey gave significant attention to industry and technology in the Autumn 2026 Budget. In his words, “nowhere is the necessary role for the state clearer than in Artificial Intelligence”. Here is an analysis of what this means for technology, AI, and those dabbling in this space. 

Infrastructure 

Drawing attention to what is undoubtedly the most important part of the UK’s AI story, stakeholders and experts have repeatedly noted the need for the infrastructure to enable the AI growth this government and previous governments have aimed to achieve. In response, the Chancellor announced a ‘Data Centre Covenant’ that offers developers of strategic data centres a deal, enabling faster grid connection if developers cover five key requirements. This is a key delivery mechanism for a target set in the 2025 UK Compute Roadmap. At this stage it is voluntary for data centres in general, but mandatory for strategic data centres that want help with their grid connection, and there are several conditions attached. Developers have to cover their energy costs and agree to a ‘Local Benefit Plan’. This comes alongside other expectations that together focus on energy and water consumption, jobs and training, and prioritising British suppliers. 

The Covenant says communities should have a meaningful say, but it does not yet set out how that will work in practice. In Our Place Our Data, the All-Party Parliamentary Group on Data Analytics (APGDA) inquiry argued that local people need to be involved in deciding how data and AI affect their area. A plan agreed between a developer and a council without that involvement could exclude some of those most effected, the people who live next to the data centre. 

There will also be a Ministerial Control Centre, chaired by the AI Minister, which will use powers in the Planning and Infrastructure Act to reserve future grid capacity. How much this Act changes for developers is not yet clear, as the Government has not said which sites will count as strategic. From our reading, the Centre will be used to decide who gets grid capacity, rather than creating more. The Government estimates the UK will need 6GW of AI data centre capacity by 2030. However, its own estimate puts Britain’s total data centre capacity at around 1.6GW in 2024, and only part of that can support AI. This indicates that there is still a long way to go if Britain’s AI infrastructure is to keep up with its demand.  

Civil Service and the public sector 

Returning to the Chancellor’s statement on the state’s role in AI, he announced £35m to set up a new GovAI unit to give civil servants access to the latest frontier tools and capabilities. Importantly, GovAI will also manage a new £50m Civil Service AI transformation fund that will run across 2027-28 and 2028-29 with the aim of automating processes and streamlining workflows to improve productivity. The fund is paid for by reinvesting part of the savings from cutting departmental admin budgets by 20 per cent in real terms by 2029-30, from which the Government expects to save a further £600m in 2029-30. GovAI will also support departments to build in-house AI capabilities, procure external solutions, and partner with innovative startups. 

However, this reform carries the risk of the Government applying the plaster of AI as an inadequate quick fix to the longstanding workforce challenges faced by the civil service. The evidence that AI will boost productivity for the public sector is weak, often drawn from single studies that do not track results over time, and GovAI will need to be driven by outcomes achieved rather than the technology itself. The question that continues to arise is whether savings on this scale can be so heavily reliant on AI. 

What else is noteworthy and what is missing 

There was a package of over £700m allocated for AI measures. This includes Sovereign AI funding rising by £140m, with £60m going directly to the Sovereign AI Fund, and the other £80m for research and development procurement. AI security was also a clear focus, signalled by the Chancellor’s allocation of an extra half a billion pounds for AI safety and security, with the largest part of the overall package going to the National AI Biosecurity Initiative and the AI Security Institute, at £165m and £120m respectively. The British Business Bank and National Wealth Fund will also get around £20bn in new capital between them, both of which are the main routes for state capital to reach firms as investment and lending.  

While these packages have been mostly well received, there have still been some mixed responses from UK technology and business leaders. The commitments to AI, startup investment, and small business support are welcome. However, there are still significant gaps in regulation, access to finance, tax simplification, and energy costs, with no short-term relief on electricity bills and the framework to control energy policy costs being pushed back to the 2027 Spending Review. There is a clear need for investment to be accompanied by clearer guidance, accessible funding programmes, and policies that help businesses scale. 

In the workforce and the workplace, it has been argued that adoption of AI is widening but is still shallow, and the gains come when it is used in depth. Shallow adoption, in the simplest of terms, refers to when an organisation uses AI tools for individual tasks, without changing how the work or the workforce is organised around them. It is important for the Government to enable that deeper adoption, keeping in mind the impact on early-career jobs, skills and education. The Budget does include some measures that effect the depth of adoption, with £23m for the AI Economics Institute to study AI’s effect on jobs and productivity, £30m for local AI partnerships with mayors, and funding for local apprenticeships. However, there is little on AI literacy or support specifically for small and medium enterprises (SMEs) to adopt AI. Our Skills in the Age of AI inquiry found a disconnect between skills policy and the experience of individuals, businesses and communities, and our roundtables in Manchester and rural Yorkshire found people apprehensive about AI. We called for AI literacy tailored to the local economy and practical support for SMEs, however these gaps still remain and the Budget may not do enough to tackle them.  

In terms of regulation, the Government has signalled a recognition of its importance but made no real commitment to such in the Budget. The AI Minister has said he would support regulation legislation if its supporters can show that it delivers enhanced safety while protecting British capability, but as it stands, the UK still has no AI-specific legislation. The Budget funds AI security and sovereign capability, but the rules for how AI is developed and used are still missing. It therefore remains unclear whether the Government intends to introduce an AI Bill and, if so, what approach it would take. 

Conclusion 

This Budget is significant in signalling the central role of AI in the Government’s economic ambitions, with the state taking a more active role in developing infrastructure, strengthening security and embedding AI across its own operations. The industry has largely welcomed the announcements, although there are still questions regarding regulation, the workforce and adoption, and how quickly the funding and further details will follow. 

Policy Connect will continue to work on these topics through the All-Party Parliamentary Group on Data and Emerging Technologies (APGDET). If you wish to find out more, please get in touch with Lavanya Rangarajan at (lavanya.rangarajan@policyconnect.org.uk).