AMD is to invest up to £2bn over the next five years in the UK to accelerate AI innovation and research and expand access to the compute resources needed for long-term economic growth and scientific leadership.
Speaking at London Tech Week, AMD’s chair and CEO Dr. Lisa Su outlined a series of investments and strategic collaborations designed to help accelerate the UK’s AI ecosystem and broaden access to the advanced computing that underpins scientific discovery and public-sector innovation.
The initiative aligns with the UK’s AI opportunities action plan and AI hardware strategy, supporting broader national priorities to build world-class AI infrastructure, develop technical talent and accelerate AI adoption.
“The United Kingdom has the talent, research excellence and ambition to help lead the next era of AI,” said Su.
“AMD is proud to deepen our commitment to the UK and work with partners across government, academia and industry to expand access to the compute infrastructure needed to advance sovereign AI, accelerate discovery and drive long-term economic growth.”
The announcement was welcomed by UK government leaders as a significant step toward strengthening the country’s AI infrastructure, research ecosystem and long-term economic competitiveness.
“This investment is a major vote of confidence in Britain’s place as a global AI superpower. We’ve got the talent, the world-class universities and the ambition to lead, and partnerships like this help turn that potential into real progress,” said chancellor Rachel Reeves.
“It will drive more cutting-edge research here in the UK, open up opportunities for people to build the skills they need for the jobs of the future, and speed up breakthroughs that can improve people’s lives and grow our economy.”
Building on its recently announced work with Oxford Quantum Circuits (OQC) and JPMorganChase, AMD also announced a collaboration with Imperial College London to advance computational science and supporting research that relies on large-scale computing resources, including healthcare innovation and climate modeling.
