UK goes shopping for homegrown AI with £100M procurement scheme
Startups invited to tackle NHS, defense, compute, and agent security challenges while Whitehall's own adoption remains patchy
The British government has launched its inaugural competitions under a £100 million procurement scheme designed to provide domestic AI startups with a pathway to secure public sector contracts. Chancellor John Healey disclosed this initiative during a G20 finance ministers meeting in North Carolina. The program extends invitations to companies to create technology that tackles issues such as improving NHS productivity, enhancing national security, bolstering cyber resilience, and optimizing public AI infrastructure.
According to the government, this scheme aims to assist strategically significant British AI companies in establishing themselves, expanding, and competing globally, thereby maximizing the economic and technological gains from artificial intelligence for Britain. This R&D Procurement Scheme is part of the Sovereign AI initiative, which also manages a distinct £500 million venture fund that directly invests in promising British AI startups.
The initial four competitions will focus on NHS productivity, defense, computing efficiency, and the security and resilience of AI agents. For the NHS challenge, firms will create systems to automate workflows, coordinate patient care, and support decision-making within health services. The defense challenge requires technology that can securely connect data and advanced AI capabilities across defense systems.
The computing challenge, overseen by the Department for Business, Innovation, Science, and Trade alongside ARIA's Scaling Inference Lab, will support technologies that enhance AI infrastructure efficiency. The fourth competition, conducted in collaboration with the National Cyber Security Centre (NCSC), focuses on technologies for comprehending, managing, and mitigating the risks associated with increasingly capable AI agents.
Successful companies will collaborate with government departments to develop demonstrator-stage technologies that have the potential to scale across the public sector and beyond. The government asserts that every year, the state spends billions on acquiring products and solutions to address some of society's most pressing challenges, ranging from healthcare to national defense.
AI Minister Kanishka Narayan highlighted that this pioneering scheme will open up these opportunities to British AI innovators whose ideas could bring about the most significant improvements, backing their businesses to grow within the country and achieve global success. This procurement effort coincides with research indicating that AI is now utilized by every UK government department, up from 81 percent a year ago.
However, the study by Mattison Public Relations revealed that only 30 percent of these departments have issued a general instruction to staff to leverage AI for improving productivity or service quality, suggesting that the mere presence of AI tools does not guarantee widespread adoption. Additionally, the research does not specify which systems departments classify as AI use, such as asking ChatGPT a question.
The percentage of departments with a formal AI strategy now stands at 63 percent, while an additional 13 percent plan to establish one. The research authors emphasize that these strategies are crucial for ensuring organizations develop AI use in a coordinated manner. Mattison notes that when departments have set targets for AI-driven savings, the goals are relatively modest, and progress is challenging to measure.
HM Treasury, for instance, aims to achieve budget savings of around 1.5 percent. Last year, Parliament was informed that plans to save £45 billion through AI implementation in the public sector lacked clarity and were based on broad assumptions. In 2022, a government department's trial of Microsoft's M365 Copilot found no significant overall productivity gain, as the tool accelerated some tasks but slowed others due to poor-quality output.
Written by urgent.news from The Register Science's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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