John Healey pledges to use budget to harness power of AI to bolster Britain’s security

John Healey pledged hundreds of millions of pounds for a distinctly British approach to artificial intelligence. The aim is to make AI support economic growth while protecting Britain from cyberattacks, rogue IT systems and other security threats. The government also wants workers and communities to share in the benefits.

The package includes fresh investment for the AI Security Institute and other critical institutions. It also covers chip-design capability in Edinburgh and a new AI Centre of Excellence in Manchester. Up to £300m in public-private investment would support an AI Biosecurity Lab, while £10m a year would fund research into changing jobs and industries.

The budget comes as AI investment helps Britain record strong growth, but concerns are rising. A software vulnerability recently helped websites go dark worldwide, and Barclays is cutting 5,000 jobs while expanding AI. The investments are intended to reduce dependence on other countries and prepare Britain for rapid technological change.

Artificial intelligence is technology that enables computer systems to perform tasks linked with human intelligence, including recognising patterns, generating content and making predictions. The article presents it as both a powerful economic tool and a serious security challenge. Its importance comes from its ability to spread through firms, hospitals, schools and everyday life.

AI can help businesses become more efficient and support stronger economic growth. The article says AI investment helped Britain outperform forecasts and achieve the G7’s strongest growth in the first half of the year. Yet the same capabilities can help attackers exploit software, disrupt critical systems or automate work previously done by people.

That tension explains the government’s planned investment. Britain wants to nurture homegrown talent and businesses while funding institutions that study cyber, biological and employment risks. The goal is to use AI for public benefit without leaving workers behind or increasing dependence on foreign technology providers.

The proposed investment combines direct public spending with public-private funding. The Treasury would spend £10m each year on understanding how AI will reshape jobs and industry. It would also back up to £300m in public-private investment for a new AI Biosecurity Lab.

The wider programme is described as hundreds of millions of pounds. Separate investments would strengthen AI chip-design capability in Edinburgh, and a new AI Centre of Excellence in Manchester would help Britain use the technology. However, the article does not state a separate amount for chip design, the Manchester centre or the AI Security Institute.

Therefore, the article supports two precise figures, not one complete total. The clearly quantified amounts are £10m annually and up to £300m for the laboratory. The final package may be larger because it includes other commitments, but its exact overall value cannot be calculated from the information provided.

If AI-powered cyberattacks become more common, governments, businesses and households could face wider disruption. The article warns that critical industries may become less secure, while hostile actors could exploit technological dependence. Attacks might affect essential services, damage confidence and increase pressure on public finances, although the article does not list specific targets beyond websites and IT systems.

Rogue IT systems create another danger. The article refers to systems turning rogue and describes a serious software vulnerability that helped websites around the globe go dark. These examples show how technical weaknesses can produce effects far beyond one organisation. Automated job losses could occur when companies invest in machines rather than humans, as Barclays’ planned 5,000 job cuts illustrate.

The government is responding with security institutions, AI research and resilience planning. It also wants to understand changing jobs and industries. The wider aim is to capture productivity gains while reducing disruption, protecting national interests and helping workers adapt as AI becomes more widespread.

The UK wants its own AI capability because the technology affects both prosperity and national security. Other countries are also advancing quickly, so relying on foreign companies or institutions could leave Britain exposed to supply interruptions, outside decisions or hostile technological pressure. Homegrown capacity would support a more independent national strategy.

The proposed measures cover the whole AI ecosystem. They include investment in chip design in Edinburgh, an AI Centre of Excellence in Manchester, support for the AI Security Institute and an AI Biosecurity Lab. The government also wants to nurture British businesses and talent, rather than simply importing technology developed elsewhere.

This approach is meant to spread AI-enabled growth across the country while defending the national interest. It could give Britain stronger control over critical technology and improve its ability to respond to cyber and biological threats. The article does not claim that domestic capability removes all risks, but presents it as protection against growing international dependence.

The article presents AI as a technology capable of changing daily life and the economy. It says every firm, community, hospital and school could benefit. AI may improve efficiency, support economic growth and help public services, but its spread could also change what jobs involve or remove some roles entirely.

A clear example is Barclays, which is cutting 5,000 jobs as the bank introduces AI and gains efficiency. This shows the key mechanism: organisations can use machines to perform tasks previously handled by people. The same process could reshape industries, while hospitals and schools may use AI to support their work, though the article gives no specific applications.

The government plans to spend £10m a year leading UK work on how AI will reshape jobs and industry. That research is intended to address disruption concerns. Healey says the British approach should not leave workers behind and should ensure AI-enabled growth benefits people across the country.

Modern AI depends on several linked foundations. Chips provide the computing capability needed to develop and run advanced systems. Software connects those systems to websites, businesses and public services. Biological research matters because AI may increase the ability to understand or create biological threats, making scientific security part of national defence.

The article links these areas to specific risks and investments. A vulnerability in a computer language used to build much of the web helped websites worldwide go dark. The government therefore plans to strengthen AI chip design in Edinburgh and back an AI Biosecurity Lab with up to £300m in public-private investment.

These examples show that AI security is not limited to the software model itself. It includes the hardware that powers AI, the code surrounding digital systems and the scientific knowledge that could protect people from emerging biological threats. Britain’s planned institutions are intended to build capability while reducing exposure to technological and hostile-state risks.