The UK public sector leans on US cloud giants like never before. Nearly every government body—95% of central and local organizations—spends billions on hyperscale cloud services. When counting software running on these platforms, that figure hits an astonishing 99% across more than 1,100 organizations. This isn’t just a tech trend. It’s a billion-pound dependency with serious risks.
In 2023/24, UK government bodies spent £17.7 billion with major tech suppliers. Of that, £9.9 billion—or 55%—flowed directly to hyperscalers and their resellers. The Ministry of Defence alone dropped £1.09 billion on these clouds. HM Revenue & Customs isn’t far behind, spending £1.01 billion. This giant reliance exposes the UK to outages and geopolitical headaches. Nearly 40% of UK firms reported outages caused by US hyperscalers in the past year. And 77% of IT leaders worry about the geopolitical fallout from this dependence.
The US Cloud Giants Hold the Keys
Microsoft, Amazon, and Google dominate. Almost all UK public-sector cloud spending goes to them or their resellers. These hyperscalers power everything from vital government services to software platforms. But outages ripple through the UK economy and government operations alike.
This massive footprint means the UK’s public sector faces substantial risks. Political tensions, regulatory shifts, or technical failures in the US can trigger UK disruptions. The cloud may be in the sky, but it’s firmly controlled overseas.
AI Models and New Restrictions Shake the Industry
US cloud dependency isn’t the only story. The AI landscape is shifting fast. The US government recently ordered Anthropic to block non-American users from its Mythos 5 and Fable 5 models. The company responded by pulling those models offline completely.
OpenAI agreed to a government review of every customer for its newest GPT-5.6 model. This level of control marks a sharp turn toward tighter AI regulation in the US. These “shock moves” have shaken the AI community. Open models, which anyone can download and run on their own hardware, are gaining attention as a way to avoid such restrictions.
Interestingly, once an open model is downloaded, the maker loses control over user data and usage. That’s a big deal in today’s climate of surveillance and regulation. Meta, once a champion of open-source AI, has stepped back from this advocacy. Meanwhile, China’s Zhipu AI released GLM-5.2 in early June 2026. It’s an open model performing almost as well as Anthropic and OpenAI’s top offerings on key benchmarks.
OpenRouter’s share of AI model usage dropped from 55% in January to 33% by June. China’s DeepSeek now leads usage share, highlighting a shift in open-source AI leadership. France’s Mistral also stands out as a western open-model advocate.
Meta’s Massive New Data Centers Push AI Forward
Meta is doubling down on AI infrastructure. It’s investing $9 billion in a new AI-optimized data center in Alberta, Canada. This will be Meta’s first Canadian facility and its 33rd worldwide. The company is also pumping $40 million into local infrastructure to support the site.
This Alberta data center will support more than 3,000 construction workers at peak and over 300 permanent jobs once operational. The facility features a closed-loop, liquid-cooled system with dry cooling to maximize efficiency.
At the same time, Meta is building what could be its largest data center ever in Louisiana. This mammoth site will cover 4 million square feet and offer over 2 gigawatts of compute capacity. That’s enough power to drive Meta’s AI workloads for years.
Meta says, “This data center will be optimized for our AI workloads, helping bring to life the technologies that billions around the world use to connect, find communities, grow businesses, and experience the power of our wearables.”
Alanna Hnatiw, part of the project team, added, “We’re excited to work with our new neighbours as we continue to make that vision a reality.”
UK’s Streaming Landscape Eyes a Local Rival to Netflix
On a different front, the UK’s BBC and Channel 4 are in early talks to merge streaming services. The goal? Build a British alternative to Netflix. This move signals a push to strengthen local media against global giants.
What’s Next for UK Tech and AI?
The UK’s reliance on US cloud giants is a double-edged sword. It fuels innovation and service delivery but creates huge risks from outages and geopolitics. At the same time, AI regulation in the US is pushing companies and users to explore open-source models, shaking up the entire industry.
Meanwhile, Meta’s massive investments in data centers show the scale and ambition of AI infrastructure growth. The race for AI supremacy is heating up, with new players from China and Europe stepping forward.
Will the UK diversify its cloud and AI partners? Can it build homegrown alternatives? The next few years will be crucial. This evolving tech landscape promises big changes—and big opportunities—for anyone watching closely.
Based on
- Britain’s public sector runs on US cloud, and that is now a billion-pound risk — thenextweb.com
- Canada’s getting its first Meta data center, and it’s built for AI | Business Insider Africa — africa.businessinsider.com
- Microsoft’s Brad Smith on U.S. AI policy: ‘Regulation without transparent or complete rules’ | Fortune — fortune.com
- US crackdown on top AI fuels open-source surge — france24.com
- Oh Look, The BBC And Channel 4 Are In Talks To Merge Streaming Services… Yet Again — engadget.com
