A government pledge to upskill 100,000 civil servants in artificial intelligence by 2030 has opened a new front in Whitehall’s digital transformation strategy, as ministers seek to overhaul decades of inefficient legacy systems and reduce dependency on costly, outdated technology infrastructure.
The partnership with Google Cloud, announced today at the company’s London summit, will see civil servants trained in digital and AI capabilities to modernise public services across departments such as the NHS and HMRC. The initiative is central to the government’s Plan for Change, which aims to save £45 billion in efficiencies through smarter use of technology.
By 2030, the Prime Minister wants one in ten civil servants working in technology-focused roles. The new Google Cloud training programme will underpin that ambition, equipping officials with the skills needed to manage emerging technologies, drive automation, and deliver more secure, cost-effective services. The announcement also includes support from Google DeepMind, which will work with government technical teams to deploy advanced AI systems within public operations.
But while the plan has drawn praise for tackling digital illiteracy and inefficiency, critics are raising concerns about the implications of deepening reliance on a single US-based cloud provider.
Data access concerns and vendor lock-in
The UK’s embrace of Google Cloud raises complex questions around data sovereignty and digital autonomy. Mark Boost, CEO of UK-based cloud company Civo, warned that placing critical national infrastructure in the hands of a provider governed by the US CLOUD Act could compromise sensitive data, even if hosted on UK soil.
“When you’re dealing with highly sensitive information, especially NHS health records, the legal framework around data access shouldn’t be vague or implied,” Boost said. “It should be made crystal clear to the public, whose private information is at stake. Right now, we don’t have that assurance.”
Beyond legal oversight, critics argue the scale of the government’s commitment could entrench the very kind of vendor lock-in it aims to escape. If thousands of civil servants are trained specifically on Google Cloud’s tools and systems, it could limit future flexibility, making it harder to diversify cloud provision or foster competition among alternative providers.
Breaking the chains of legacy technology
Despite these warnings, there is broad consensus that the digital status quo in the public sector is no longer tenable. More than a quarter of government systems still operate on legacy technology, reliant on outdated contracts and hardware vulnerable to outages and cyberattacks.
Technology Secretary Peter Kyle described the move as a necessary break from the past. “Britain will be using more technology, in more areas and more than ever before,” he said. “So, my message to the big technology companies is clear: bring us your best ideas, your best tech, and your best price.”
Industry voices have welcomed the shift in tone. Stuart Harvey, CEO of Datactics, said the decision to invest in AI training was “long-overdue” and critical to modernising public service delivery. However, he stressed that success would depend on more than skills alone. “These systems will only succeed if they’re backed by data quality and governance,” he said. “Making data accessible, building consistent structures and keeping human oversight in decision-making will significantly boost accountability and transparency.”
Sheila Flavell CBE, COO of FDM Group, echoed the sentiment. “AI isn’t here to replace people, it thrives when paired with human expertise,” she said. “Embedding practical AI training empowers individuals to understand and oversee intelligent systems. The power of upskilling breaks down barriers into tech.”
An AI-powered civil service with questions left unanswered
The scale and ambition of the plan mark a significant pivot in the UK’s approach to AI. Rather than focusing solely on industrial productivity or scientific research, the government is placing AI at the heart of its administrative infrastructure.
The announcement forms part of a broader effort to rethink how the state interacts with technology providers, opening the door to innovation, efficiency and reduced costs. Yet it also prompts difficult questions about public control, data integrity and the long-term risks of technological dependency.
If successful, the initiative could redefine how the civil service operates, equipping it to navigate an AI-first world. But without transparency on data safeguards and a diversified approach to cloud strategy, the push to modernise risks replicating the same structural dependencies it seeks to escape.
