UK funds £60M AI labs to challenge US tech dominance with open-source models

The UK government has awarded £60 million to Oxford University and University College London to help keep the country in the AI race by focusing on open-source, low-hardware alternatives. This is in stark contrast to the expensive, closed-source, and high-hardware-requirement models being created in the United States and elsewhere.

The money will be shared among two new academic research labs over six years to help them redesign the fundamental mathematics and architectures of AI to help the UK reduce its reliance on a handful of US tech firms.

Commenting on the development, AI Minister Kanishka Narayan said:

“We are only just beginning to unlock AI’s huge potential to grow our economy and improve our public services. With our world-leading universities and deep pool of AI expertise, Britain can set the agenda for what comes next.

These new labs will lead the world in the fundamental work that is set to make AI cheaper, more practical and easier to adopt so more businesses and public services across the UK can benefit.

And by building this capability here at home, backed by our world leading universities, we’re strengthening our own expertise, reducing reliance on others and securing Britain’s place at the forefront of this technology – fittingly announced on what would have been Alan Turing’s 114th birthday.”

Initially, the government planned to fund just one lab with a £40 million investment, but with this update, two labs will now get access to a larger pool of funds. The labs are expected to invest in the top AI researchers at every career stage, with £2 million per lab being set aside for hiring at least ten doctoral students. The government hopes that this will grow the UK’s talent in the field of AI.

The labs are also expected to work closely with the leaders in British AI research, such as the Alan Turing Institute and UKRI’s AI research hubs. This will allow the various teams to collaborate and create new solutions faster than they could alone.

This development is pretty interesting for a number of reasons, chiefly that it could create a long-term challenge for US tech firms if these labs successfully scale these open-source architectures that bypass the proprietary ecosystems. It could also give British businesses and public sector organizations access to AI features without paying high licensing fees to foreign providers or needing to invest in specialized server infrastructure.