UK AI use hits ‘tipping point’ as firms scale up, Google says

TL;DR:

  • A Google Cloud executive says UK AI adoption has reached a “tipping point”, with firms shifting from experiments to large-scale deployment.
  • Maureen Costello pointed to retail and public-sector examples already showing measurable returns.
  • Google research suggests AI could lift productivity by roughly 20%, with smaller firms among the biggest potential winners.

Adoption of AI in Britain has reached a “tipping point”, with companies moving from testing tools to running them at scale and beginning to see returns, according to Maureen Costello, Google Cloud’s vice president for the UK, Ireland and Sub-Saharan Africa. Speaking to Reuters, she said organisations that were merely experimenting a year ago are now putting AI into production across more complex processes.

From pilots to production

Costello cited examples spanning retail and government, including AI shopping tools from British e-commerce group THG that lifted customer spending, and public-sector systems speeding up planning decisions — echoing the government’s own AI planning prototype tested in Barnet, Camden and Dorset. She argued London’s research base, including Google DeepMind, leaves Britain “leading in this space” as ministers push to make the UK an AI “superpower”.

The broader prize, she suggested, lies with smaller firms: Google research indicates AI could raise productivity by about 20%, effectively handing business owners “a day back” each week. That optimism sits alongside more cautious UK signals, including a CMI warning that managers lack AI skills and PwC’s finding that AI is splitting the jobs market into two tracks.

Looking forward

Costello was candid that the pace of adoption will hinge on skills, leadership engagement and trust — particularly around security and data sovereignty. “Technology is only half of the answer — people are the other half,” she said, warning that leaders “can’t sleep at the wheel”. For UK SMEs weighing whether to commit, the message is that the experimentation phase is closing; the firms now embedding AI into core workflows are the ones the data suggests will pull ahead. Whether that 20% productivity gain materialises broadly, or accrues mainly to larger, better-resourced adopters, remains the open question.

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