1. AI adoption has outpaced expectations

AI has transformed from an emerging technology into a mainstream tool at unprecedented speed. Noting ChatGPT reached 100 million users in two months, Deloitte’s former UK vice chair, Anne-Marie Malley, suggests people are adopting tools faster than organisations can respond.

With AI now “everything, everywhere," its effects are across sectors and workflows. The core challenge is no longer whether it’s strategically important, but how to govern, manage and integrate it responsibly. The UK’s readiness depends on closing the widening gap between technology and implementation.

2. Businesses must embrace uncertainty

For bestselling author and future of work expert Bruce Daisley it feels like “surprise, disruptive shocks” now occur annually, not every five to ten years. AI is one of many unpredictable forces alongside “the cycle of news, the cycle of global politics, making things a lot harder to predict.” By accepting that disruption is regular, companies can better plan for the unexpected, baking anticipation into their business plans.

Bruce adds that many organisations are feeling the pressure of comparison. Likening this to sitting in an exam hall and wondering how your classmate has written enough to need another piece of paper already, he believes businesses risk getting lost in the noise instead of focusing on their own progress.

3. The UK needs to upskill to unlock the AI opportunity

The confidence to invest in digital skills isn’t solely the responsibility of the government. Oliver Seal, UK digital education practice lead at Deloitte, says individuals and businesses can help drive the AI revolution by working to remove barriers to adoption.

Oliver, and Sharon Hague, UK CEO at Pearson, point out that the UK has tremendous strengths in higher education, international research, its global reputation – so there is a real opportunity to lead in this field. But to do so, the nation needs to highlight AI as an area of focus, attention and growth. Only by rethinking roles and investing in digital capability can we unlock AI’s economic potential.

4. People, not technology, are the biggest barrier to AI adoption

“Technology is not the challenge here,” says Mike Manby, partner in our UK strategy and analytics practice.

AI can do almost anything, but the people using it are arguably more important. Deloitte found 70% of technology-driven programmes are unsuccessful if human elements are not built in from the start.

Change happens when a whole organisation is excited; employees need to understand their role in delivering it as well as the benefits they can get from it. With so much change facing industries, businesses must make sure their people are fully onboard with AI adoption to reap the biggest rewards.

5. The UK must overcome the trust gap

Simon McDougall is the chief strategist for privacy and AI at ZoomInfo. He draws on a traditional model in which trust is built through three values: ability, benevolence and integrity.

Research has shown people are more likely to trust AI being used by respected organisations, like the NHS, with established credibility. Faceless AI, by contrast, is harder to immediately trust and must work harder to demonstrate the three qualities highlighted by Simon.

This trust gap is slowing adoption, and the pace of innovation is compounding the issue. Much of the technology feels untested, so people can be reluctant to embrace it fully. But building trust in AI is something we have to achieve for the UK to scale the technology and fully realise its full potential.

Contact:
Mark Heads
Podcast and Brand Content Execution Lead
mcheads@deloitte.co.uk