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ByNN Desk
UK Targets $50B AI Chip Revenue With New Hardware Plan
The plan, to be detailed at London Tech Week in June, positions Britain as a design-led player in a global AI chip market growing at 30% annually.
The plan, to be detailed at London Tech Week in June, positions Britain as a design-led player in a global AI chip market growing at 30% annually.
Technology Secretary Liz Kendall announced on April 28 that the UK government will develop a national AI hardware strategy, targeting a 5% share of the global AI chip market, which could reach $1 trillion by the early 2030s. The plan aims to secure $50 billion in annual chip-related revenue and tens of thousands of high-skilled jobs.
Speaking at the Royal United Services Institute in London, Kendall said the goal is to make Britain a “keystone in the global tech architecture” rather than a passive recipient of other nations’ infrastructure decisions. The government said full details of the hardware plan will be disclosed at London Tech Week, which runs in June.
The announcement follows a £100 million “first customer” commitment under which Kendall’s Department for Science, Innovation and Technology will guarantee advance payments to British startups producing AI inference chips that meet set performance standards. The policy is designed to de-risk early-stage hardware development by substituting government procurement for initial private demand.
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Private investment figures cited in support of the strategy are notable. UK AI startups raised £6 billion in venture capital in 2025, the largest share of total UK VC on record. In the first quarter of 2026, $5.8 billion was raised in AI, accounting for 74% of all UK venture funding. Private commitments across the government’s AI Growth Zone total £28.2 billion; Nvidia Corporation has separately pledged £11 billion to UK AI infrastructure.
The strategy leans into historical British strengths: the country produced the first programmable computer, the first electronic memory, the first commercial computer, and ARM Holdings’ central processor architecture, which underpins the majority of mobile devices globally.
Supply chain exposure, however, remains a structural gap that the current plan does not fully address. China controls 98% of global primary gallium supply and 83% of germanium output; by early 2025, export controls had extended to tungsten, tellurium, indium, and seven heavy rare earth elements, all of which are critical inputs in chip fabrication. A disruption in those supply lines can materialize within weeks, not quarters.
Workforce capacity is a parallel constraint. Hardware ambition without trained engineers, deployment specialists, and governance professionals has limited operational value; the gap between stated AI demand and UK workforce readiness has widened alongside the pace of the government’s infrastructure commitments.
The move comes as OpenAI’s plans to site its flagship $500 billion AI data center project in the UK remain on hold, with the company citing energy costs and regulatory conditions. That delay has sharpened the government’s focus on domestic hardware capacity as a lever it can more directly control.
The EU, for context, is now projected to hold only 11.7% of the global AI chip market by 2030, well below its own 20% target, a data point that indicates demand-led ambition does not automatically translate into market position without supply-side execution.
The £500 million Sovereign AI Fund, announced earlier this year, is already directing capital toward domestic AI infrastructure projects. How the new hardware strategy builds on or coordinates with that fund is among the details expected at London Tech Week.
Disclaimer: This news is based on publicly available information. NervNow has not independently verified any claims.
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