Britain has an AI deployment problem. This should not be muddled with an innovation problem. While policymakers debate how to make the UK a global AI leader, the more urgent question is how quickly businesses and public services can put the technology to work.

The government has made its ambitions clear. We have heard prime minister Andy Burnham’s plans to reindustrialise Britain and AI now has a seat at the top table. But Britain’s challenge has rarely been invention. Too often it has been turning invention into productivity and economic growth.

We’ve seen this pattern before. When electricity was first introduced into factories, its immediate application was the light bulb – replacing oil lamps, improving visibility, and making environments safer. The true transformation came decades later with the development of electric motors and the assembly line.

Today, much of AI remains in the “light bulb” phase. Summarising emails, generating content and preparing for meetings can boost individual productivity. Useful, certainly, but far removed from the economy-wide transformation the technology promises.

The real shift will come when organisations use AI not just to work faster but fundamentally rethink how work gets done (the modern-day assembly line).

And there is significant opportunity here. AI alone could contribute up to £550 billion to UK GDP by 2035. As the world’s third-largest tech market, the country is well positioned to lead but risks slipping down the global rankings unless urgent action is taken.

The NHS App offers a glimpse of what AI deployment at scale looks like. More than 40 million people now use it as the digital front door to healthcare, transforming interactions that once depended on opening hours, paper processes and lengthy phone calls. AI’s real potential lies in redesigning entire systems around our citizens.

Financial services offer a similar lesson. Britain’s banks are using AI to reshape everything, including customer service, mortgage advice, credit scoring and fraud prevention – to name a few. The significance here is how technology is transforming one of the country’s most important industries.

With AI as Britain’s next opportunity for productivity and reindustrialisation, I see three conditions needed to make that happen.

First, digital sovereignty is becoming a prerequisite for economic sovereignty. It is important to recognise that modern industrial capability is inseparable from digital capability. The competitiveness of advanced manufacturing, energy, defence, healthcare and financial services will depend as much on trusted AI and governance of data as on physical assets themselves. For government and the public sector, the test is particularly exacting. They need dependable control over sensitive data, AI systems and operational processes, together with the ability to demonstrate how those systems are governed.

According to the BT Group, enhancing data sovereignty could give UK businesses the confidence to adopt AI, unlocking upwards of £18 billion per year for the UK economy. This requires an approach to sovereignty that gives all organisations greater control and confidence without reducing access to the solutions, partnerships and capabilities they need to serve citizens, grow and compete.

Second, access to technology alone will not deliver growth. The UK’s ability to capture the benefits of AI will ultimately depend on whether it can build a workforce capable of deploying, governing and scaling these systems effectively. That means focusing on practical routes into the workforce. For example, apprenticeships, technical qualifications, or work placements. The objective should not simply be to create more AI specialists, but instead to ensure that every sector of the economy has access to the skills needed to adopt and deploy AI with confidence.

Lastly, organisations need certainty to invest. AI transformation requires continuous commitment and significant investment in infrastructure, skills and organisational change. For government, that means assessing technology investment against measurable public value, rather than treating deployment or software adoption as an outcome in itself. Businesses are more likely to make those investments when there is clarity about the UK’s long-term direction. That means consistency in policy and ongoing engagement between government and industry.

Britain helped invent many of the technologies that defined previous eras of growth. Too often, others were quicker to achieve economic advantage. AI offers an opportunity to break that pattern. The prize is not leadership in AI for its own sake. The countries that succeed will be those that deploy it most effectively. Britain must aim to be one of them.