The November 2025 Budget contained several measures to boost AI adoption and support British science and technology companies to ‘start-up, scale-up and stay in the UK’.
Artificial intelligence (AI) holds enormous potential for businesses in enhancing productivity, competitiveness and efficiency. However, adopting AI technology can be challenging.
New AI sector champions will promote the rollout of AI in industrial sectors in which AI can be at its most transformative. At present those sectors encompass professional business services and advanced manufacturing. They will join the existing AI champion for clean energy and will work alongside the Sovereign AI Unit, formed in summer 2025 by the government Department for Science, Innovation and Technology (DSIT). The unit will invest in high-potential, new UK businesses to enable them to start trading and grow.
A new AI Growth Zone in South Wales will benefit from £10 billion of private and government investment to create more than 5,000 local jobs.
The BridgeAI programme, which opened in 2023, is expanding to support a wider range of business sectors to develop and deploy new AI solutions. A new AI Growth Zone in South Wales will benefit from £10 billion of private and government investment to create more than 5,000 local jobs. The zone will consist of several sites stretching from Newport to Bridgend. The government is acting as a ‘first customer’ for UK start-ups that are building high-quality AI hardware products but need investment to provide the huge amount of hardware needed for data centres in the AI Growth Zones. Although these measures are largely directed at the AI sector itself, the benefits will gradually percolate to all businesses. Generative AI, which creates new content out of information and data, can automate many processes, such as marketing and customer support, while nevertheless giving customers a personalised experience. Directors and senior staff can then concentrate on strategic business tasks, assisted by predictive AI, to help plan for future outcomes based on past data and events.
