June 17, 2026, (Inside AI) — Artificial intelligence adoption in Britain has hit a critical juncture, with organizations shifting from tentative trials to full-scale deployment and tangible returns, according to a senior Google Cloud executive.
Maureen Costello, Google Cloud’s vice president for the United Kingdom, Ireland and Sub-Saharan Africa, said the nation is now at a point where AI use is accelerating rapidly across industries. Speaking to Reuters, she noted that businesses and government bodies are moving beyond experimentation to embed AI in complex operational workflows.
“Industry is on the cusp of a tipping point where AI adoption is accelerating quickly,” Costello said.
“A year ago the focus was on experimentation, but now we’re seeing organisations put AI into production and begin to realise real returns.”
The shift spans retail to public services. British e-commerce firm THG has deployed AI-powered shopping tools that have lifted customer spending. Meanwhile, public-sector systems are helping to speed up planning decisions, Costello explained.
Britain’s AI Hub Ambitions Meet On-the-Ground Momentum
London, which boasts Europe’s largest concentration of tech talent, is positioning itself as a global AI hub. Prime Minister Keir Starmer has championed the vision of Britain as an AI superpower, and Costello said the country is already delivering on that promise.
She pointed to a robust research ecosystem and institutions like Google DeepMind in London as proof of Britain’s leadership. Yet the narrative of national prowess masks uneven readiness across firms.
Smaller businesses could see outsized gains. Google research suggests AI could boost productivity by roughly 20%, effectively giving business owners an extra day each week. But that potential hinges on more than just technology.
The Hidden Hurdles: Skills, Trust, and Leadership Gaps
Costello stressed that investment in skills, leadership engagement, and trust—especially around security and data sovereignty—will dictate the pace of adoption. She warned that executives cannot afford to be passive observers.
“Technology is only half of the answer — people are the other half,” Costello said.
“Leaders can’t sleep at the wheel, they need to get hands-on and understand how to apply this in their organisations.”
Her comments echo a broader industry concern: without upskilling and cultural change, AI tools risk becoming shelfware. A recent McKinsey survey found that while 65% of organizations now use generative AI regularly, only a fraction have retrained workers at scale.
Security remains a flashpoint. Data sovereignty rules in the UK post-Brexit add complexity for cloud-based AI deployments. Costello’s emphasis on trust suggests Google is keen to position its cloud as compliant and secure, but rivals like Microsoft and AWS are making similar claims.
Productivity Promises vs. Real-World Friction
The 20% productivity uplift figure is striking, yet it invites scrutiny. Past technology waves—from PCs to enterprise software—often delivered delayed or disappointing returns. AI’s impact may similarly take years to materialize fully, especially in regulated sectors.
Costello’s examples, like THG’s shopping tools, highlight consumer-facing wins. But back-office automation in areas like finance or legal remains patchy. A 2025 report from the Alan Turing Institute cautioned that AI adoption in UK public services is fragmented, with many projects stuck in pilot phase.
Still, the direction is clear. With Google Cloud investing heavily in UK data centers and talent, the infrastructure is being laid for wider adoption. The question is whether businesses and government bodies can move fast enough to capitalize.
Reporting by Sam Tabahriti, editing by Milla Nissi-Prussak. Additional context and analysis by Inside AI.
Sofia spent years studying how machines parse human language before pivoting to cover the systems now rewriting it. She reads technical papers the way others read news and looking for what the numbers are actually saying beneath the headlines.
