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Government's £Billion AI Growth Bet: Is Britain to Cash In?

ended 28. October 2025

Government wants AI growth now, MIT says financial advice alone needs five years more work. Can Britain's financial wider services sector afford to wait in the global economy?

Secretary of State for Business and Trade Peter Kyle has outlined plans to accelerate UK economic growth through AI adoption and business deregulation, speaking at the UKAI conference at The University of Sussex. Kyle invoked the Steve Jobs turnaround at Apple as a model for government innovation strategy, emphasising action over caution. The government has already increased R&D investment by 11% and plans to continue reducing regulatory barriers for smaller businesses.

Attendee Kenny MacAulay, CEO, Acting Office said: "With the financial services industry playing such a crucial role in driving UK growth, it's reassuring to hear the Secretary of State endorsing the power of AI and technology to accelerate business development across the UK."

Industry response has been positive, with technology leaders welcoming the government's technology-first approach. However, the gap between conference room vision and operational reality raises practical questions about what successful AI-driven growth requires on the ground. Cybersecurity experts at the event noted that security infrastructure must develop alongside innovation, suggesting implementation challenges beyond access and regulation.

The tension between policy ambition and practical implementation raises critical questions for professional services navigating AI adoption under duty of care obligations.

We'd like your views:

  • How is AI currently affecting client expectations and service delivery in your sector?
  • What's the real ROI you're seeing from AI tools, and where are they falling short?
  • How transparent can you be with your AI usage given there could be criticisms about a lack of duty-of-care?
  • What would make you confident recommending AI solutions to clients right now?
  • What safeguards or transparency do you need before integrating AI into client-facing work?

4 responses from the Newspage community

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Colette Mason
AI Ethics Consultant at Clever Clogs AI
The policy direction assumes that reducing barriers will naturally accelerate productive AI adoption. But practical experience suggests the bottleneck for most British businesses isn't regulatory permission, it's understanding what AI can reliably do, how to implement it without creating new problems, and whether tools actually deliver on their promises.

The difference between AI that genuinely enhances productivity and AI that creates expensive overhead isn't always obvious until after deployment. Many businesses are wary to say they're using AI because of criticisms about corner cutting, mistakes and watering down human expertise. That belief needs challenging if open discussions are going to help the economy as a whole.
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Mitali Deypurkaystha
AI Governance Strategist & CMO at AISensa
The government’s AI growth push sounds visionary, but it risks mistaking speed for readiness. Too many business owners are dazzled by marketers selling AI as a panacea, while they remain silent about one of the foundations that make it work: clean, structured data. Even the smartest AI is only as good as what it’s fed. Yet neither vendors nor policymakers address this gap. Vendors because hype sells, policymakers because “data maturity” doesn’t make headlines. Deregulation means little if businesses are running on messy, non–AI-grade data. FOMO drives the remaining issues: leaders see others using a particular AI platform and think, "I need this!" They rush to buy tools first, then scramble to make them fit. The right approach is the reverse: identify the bottlenecks, then match the tech. The UK doesn’t have a regulation problem; it has a data and hype-y AI marketing problem. Until policy tackles that, Britain’s billion-pound bet on AI will remain a headline, not a reality.
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Patricia McGirr
Founder at Repossession Rescue Network
When politicians start pairing “AI acceleration” with “deregulation”, it’s time to worry.
AI isn’t a quick fix for growth; it’s a high-stakes experiment that still needs guardrails. MIT’s own research says financial advice alone needs another five years of development before it’s trustworthy enough to guide people’s money decisions. Yet Westminster seems happy to trade caution for headlines. If regulation is treated as a speed bump rather than a safety barrier, we’ll end up with systems that outpace ethics and advice clients can’t challenge or trust.
We must stay competitive in a global economy and AI is no doubt accelerating progress, but it cannot be at the expense of sound governance. Progress shouldn’t mean putting consumers on the front line of untested tech.
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Colin Crooks MBE HonDsc
CEO at Intentionality
"The biggest AI productivity gain isn't making professionals faster—it's getting non-workers into employment. Moving someone from welfare to taxpayer delivers far greater economic returns than marginal efficiency gains."
AI investment in research and medical advances need to be pursued relentlessly . But government needs to ensure this doesn't overshadow the less glamorous work of using AI to create employment pathways for the lowest skilled. With nearly 1 million young people neither working nor training, we can't afford a five-year timeline. Financial services may need that long to perfect AI advice tools, but employment programmes using AI to match skills, provide coaching, and reduce hiring barriers need to start now.
Peter Kyle references Steve Jobs, but Jobs succeeded by making technology accessible to everyone, not just the already advantaged. The economic impact of converting welfare recipients into contributors is too significant to treat as secondary.