UK Must Build Its Own AI to Protect National Security

Published: 10 October 2026. The English Chronicle Desk. The English Chronicle Online

The United Kingdom must strengthen its domestic artificial intelligence capabilities and avoid becoming overly dependent on foreign technology companies, the head of the Alan Turing Institute has warned, arguing that national security, economic stability and technological independence increasingly depend on having reliable access to AI systems.

George Williamson, the institute’s director, said Britain needed to establish a stronger position in the rapidly developing AI industry as the United States and China continued to lead the global race. He identified national resilience as a central priority for the institute, emphasising that the country should not rely exclusively on technologies that foreign governments or companies could restrict, withdraw or shut down.

The warning comes as artificial intelligence becomes increasingly important to public services, defence, healthcare, critical infrastructure and economic development. Although overseas AI systems offer significant capabilities, Williamson believes excessive reliance on them could expose Britain to serious risks during periods of geopolitical tension or commercial disagreement.

He argued that the UK needed to develop its own technological capabilities so that it could maintain access to essential systems without having to seek permission from foreign providers. For a country seeking to protect its national interests, he suggested, technological independence was no longer simply an economic ambition but an increasingly important element of national security.

The Alan Turing Institute, the UK’s leading artificial intelligence research organisation, is undergoing a strategic shift under new leadership following pressure from the government, its principal source of funding. The institute has been expected to place greater emphasis on defence and security, reflecting concerns about the implications of increasingly powerful AI systems and a more unpredictable international environment.

Williamson said the institute would concentrate on protecting critical systems against disruption, addressing threats created by AI itself and helping Britain develop the strategic capabilities needed to manage the technology. He believes the organisation can contribute to a more resilient country by supporting research that strengthens public institutions and reduces dependence on external providers.

His concerns are partly informed by recent developments in the United States. In June, Washington temporarily restricted the release of Anthropic’s latest AI models outside the country. Reports have also suggested that leading American AI laboratories were asked to withhold their models from testing by the UK’s AI Security Institute until the systems had been examined by its US counterpart.

Such developments illustrate the potential consequences of relying on foreign technology. Even when international partnerships are productive, political decisions, commercial priorities or regulatory restrictions can affect whether advanced systems remain available to overseas customers.

Williamson said recent events had demonstrated that Britain could not assume it would always have access to the AI tools it needed. He argued that there were circumstances in which the country should possess technology that it could use independently, particularly when essential services or national security were involved.

The issue extends beyond government departments. Businesses increasingly depend on AI for research, customer services, data analysis and operational decision-making. If the underlying systems become unavailable or significantly more expensive, organisations could face disruption and uncertainty. A stronger domestic technology base could help reduce those risks while creating opportunities for British companies to develop products suited to local requirements.

The challenge, however, is considerable. American technology companies and Chinese developers possess substantial financial resources, advanced computing infrastructure and access to large research teams. Competing directly with the world’s largest AI laboratories in every area could prove prohibitively expensive for Britain.

Williamson acknowledged that the UK and the Alan Turing Institute were unlikely to match the financial power of the leading international laboratories. Nevertheless, he argued that Britain did not need to reproduce every capability developed by the global leaders to build a meaningful and strategically valuable AI sector.

Instead, the institute could support the development of smaller, specialised models and nationally owned intellectual property. These technologies could provide British businesses and start-ups with alternative systems that they could adapt, develop and deploy without depending entirely on foreign platforms.

Such an approach could allow Britain to concentrate on areas where domestic expertise offers the greatest public and economic benefit. Rather than attempting to win every aspect of the global AI race, the country could build capabilities around its own priorities, including secure public services, scientific research, environmental monitoring, agriculture and national infrastructure.

Williamson also raised concerns about the influence of Chinese AI systems. He suggested that some models might produce answers shaped by the political priorities and censorship practices of their countries of origin, potentially limiting their usefulness for British users.

He pointed to questions about how certain systems respond to sensitive historical events involving China. For educational institutions, researchers and public bodies, access to reliable and independent information is important. AI systems that restrict or distort information could undermine confidence in the technology and complicate its use in schools, universities and government.

The wider issue is whether Britain can ensure that the technology it adopts reflects its own legal standards, democratic principles and public interests. Williamson said the UK should be able to influence the development of AI in accordance with its values rather than merely accepting systems designed elsewhere.

His argument reflects growing concern across Europe about technological dependence. Christine Lagarde, president of the European Central Bank, and Ursula von der Leyen, president of the European Commission, have both called for greater European self-sufficiency in AI. Their concerns include the possibility that Europe could be cut off from American or Chinese technologies at a time when its businesses and public institutions increasingly depend on them.

For European governments, the challenge is to balance the benefits of international cooperation with the need for strategic autonomy. Developing domestic systems requires substantial investment, specialist skills, computing resources and reliable access to advanced semiconductor technology. Yet excessive dependence on a small number of overseas suppliers could leave countries vulnerable to decisions they have little power to influence.

The debate also involves the potential dangers posed by increasingly powerful AI systems. In September, the UK government announced plans for a national centre to address state-backed disinformation, including threats involving deepfakes and other AI-generated content. Such material can be used to mislead the public, undermine trust in institutions and influence democratic debate.

Williamson said AI could amplify threats to national infrastructure and public institutions, making resilience a priority. He believes the Alan Turing Institute could help identify and counter disinformation campaigns, develop safeguards and support the government in understanding emerging technological risks.

At the same time, he cautioned against overstating the scientific certainty surrounding some predictions about AI’s long-term dangers. Anthropic researchers recently estimated that the technology carried a greater than 10 per cent chance of causing human extinction by 2030, a prediction that has contributed to debate about the potential consequences of advanced AI.

Williamson questioned whether assigning precise percentages to such existential risks was useful without convincing evidence explaining how the figures had been calculated. He argued that discussions about AI safety should be grounded in credible scientific analysis rather than relying on dramatic estimates that cannot be adequately justified.

His position suggests that the institute intends to contribute to the debate by assessing risks carefully while helping policymakers make informed decisions. As AI capabilities advance, governments face the difficult task of preparing for genuine dangers without allowing speculation to replace evidence-based analysis.

The institute’s future direction has also raised questions about the relationship between national security and environmental research. In 2025, the then technology secretary, Peter Kyle, wrote to the institute’s chair demanding that its primary focus shift towards defence and security. The change was followed by the resignation of its previous head, Jean Innes.

Williamson believes a national resilience strategy can accommodate a broader range of research priorities, including climate change and environmental science. He argued that climate-related threats should be considered national security concerns because extreme weather, environmental disruption and damage to essential infrastructure can affect the country’s stability.

The approach could enable the institute to continue research into weather forecasting, farming and other areas with direct public benefits while maintaining a strong focus on defence and critical systems. AI could help improve forecasts, support agricultural decisions and enable authorities to anticipate or respond more effectively to environmental emergencies.

For Williamson, resilience provides a framework for bringing these responsibilities together. The objective is not simply to develop technology for its own sake, but to ensure that Britain can withstand disruption, protect essential services and take advantage of emerging opportunities.

The UK now faces a strategic choice. It can continue relying heavily on systems developed by international technology giants, accepting the commercial and political risks that come with that dependence, or invest in a more diverse domestic AI ecosystem capable of supporting its most important needs.

Building such an ecosystem will require long-term funding, cooperation between universities and industry, access to computing infrastructure and policies that encourage innovation. It will also require realistic expectations about what Britain can achieve in a field dominated by exceptionally well-funded international competitors.

Williamson’s message is that technological independence does not require Britain to replicate every achievement of the United States and China. Developing carefully targeted domestic capabilities, supporting British innovators and ensuring continued access to essential AI tools could provide meaningful protection against external disruption.

As artificial intelligence becomes more deeply embedded in everyday life and national infrastructure, the consequences of technological dependence are likely to grow. For Britain, the challenge will be to secure the benefits of global innovation while retaining sufficient control over the systems on which its economy, public services and national security increasingly rely.