By clicking submit, you agree to share your email address with TFN to receive marketing, updates, and other emails from the site owner. Use the unsubscribe link in the emails to opt out at any time.
By clicking submit, you agree to share your email address with TFN to receive marketing, updates, and other emails from the site owner. Use the unsubscribe link in the emails to opt out at any time.
Britain has top AI researchers but lacks the financial resources of the companies that hire them. Earlier this week, the government recognised this gap and announced a plan to tackle it.
Oxford University and University College London will each get part of up to £60 million in public funding over six years, with support from UK Research and Innovation and the Engineering and Physical Sciences Research Council. Instead of building bigger models, both labs will look for ways to make advanced AI more affordable, open, and less dependent on the large computing resources that many organisations cannot access.
Kanishka Narayan, the Parliamentary Under-Secretary of State for AI and Online Safety, who led the announcement, described the move as being about national independence as well as research.
“With our world-leading universities and deep pool of AI expertise, Britain can set the agenda for what comes next. By building this capability here at home, we’re strengthening our own expertise, reducing reliance on others and securing Britain’s place at the forefront of this technology,” he says.
The funding supports two distinct programmes, each addressing the same challenge from a different perspective.
UCL will lead the Science of Fundamental AI Research lab, known as SOFAIR, working with researchers from Cambridge, Oxford, and Edinburgh. Professor David Barber, who leads the UCL Centre for Artificial Intelligence, says the main issue is not just the high cost of AI.
Most current systems use similar designs, so they share similar problems, such as giving incorrect answers, struggling with tasks outside their main area, and relying on a few providers. SOFAIR will use computer science, mathematics, statistics, and neuroscience to create open-source alternatives that can run on common hardware, including regular home computers.
“While current AI systems are impressive, many still suffer from basic issues such as inaccurate responses to questions. SOFAIR will bring together the broader sciences and fresh ideas to create a new generation of open-source models. This will reduce dependency on the small number of model providers, boosting UK sovereignty and its position as a global player in AI,” Barber notes.
Oxford’s British Open-ended Learning and Discovery lab, called BOLD, is taking a different path.
It is led by associate professor Jakob Foerster, who works at both Oxford’s Department of Engineering Science and Meta AI’s research division, along with UCL and Imperial College London. BOLD will study how AI can learn more efficiently from its environment, adapt to new situations, navigate physical spaces, and develop without requiring ever-larger training runs. Foerster, who has worked at Google Brain, OpenAI, and DeepMind, has a clear understanding of how leading labs operate and has been open about BOLD’s purpose.
“The UK cannot win the global AI race simply by trying to outspend the largest technology companies on data and compute. BOLD is about a different route: discovering fundamentally new ways to build AI that are more efficient, more open and better aligned with human needs. By focusing on new paradigms for learning, rather than only scaling existing methods, we aim to help secure the UK’s sovereign capability in AI and ensure that academic research can shape the future of the field,” he says.
Each lab will spend £2 million to hire at least ten doctoral students, helping to build a local AI talent pipeline. Both labs will also use large-scale computing resources worth tens of millions of pounds and will work with the Alan Turing Institute and UKRI’s current AI research hubs.
The original proposal included one lab with £40 million in funding. The final announcement expanded this to two labs, with up to £60 million in funding. The government states that this expansion reflects “the scale of opportunity for the UK.”
Doubling the plan between the draft and the announcement could mean the first proposal was cautious or that the needs changed. This is Britain’s largest single investment in basic AI research and is part of UKRI’s larger £1.6 billion AI strategy for 2026 to 2030, the largest targeted investment.
Professor Charlotte Deane, executive chair of EPSRC and senior responsible owner for the UKRI AI Programme, and herself a former chief AI officer at drug discovery company Exscientia, positioned the labs as backing for ideas that wouldn’t otherwise get funded at scale.
“The UK is already one of the world’s leading nations in AI research. We are one of the few countries in the world with all the right ingredients, from a deep pool of top AI experts to world-class universities. These labs will put that advantage to work, backing the bold, high-reward ideas that can shape the future of AI,” she adds.
One big question is whether academic labs that have been working for over six years can keep up with the fast pace of commercial AI. Companies like OpenAI, Google DeepMind, and Anthropic do their own efficiency research and can put results into practice quickly. British academic labs work on longer timelines and compete with organisations that release new models often. In the past, many AI breakthroughs in research have turned into commercial products made elsewhere.
SOFAIR and BOLD suggest that the next stage of AI will be about more than just building bigger models. If efficiency and openness matter more than just computing power, Britain could have an advantage. If not, the investment will still provide six years of useful research that could help bigger companies later.
No one knows yet how things will turn out, which makes this research even more important. This uncertainty also makes it harder to plan for the future.
By clicking submit, you agree to share your email address with TFN to receive marketing, updates, and other emails from the site owner. Use the unsubscribe link in the emails to opt out at any time.
© 2026 Tech Funding News – All rights reserved.
Leave a Reply