AI trust fails to keep pace with rate of adoption

Two thirds of organisations (64 per cent) are actively using artificial intelligence across the UK, a 12 per cent increase from last year according to new industry research. But despite significant uptake, a confidence crisis in AI governance, workforce readiness and long-term business transformation is emerging.

  • Wednesday, 6th May 2026 Posted 2 hours ago in by Phil Alsop

While AI tools are proving instrumental to businesses to improving operational efficiency and productivity across organisations, adoption remains concentrated around basic use cases such as document summarisation, chatbots and task automation. Only a minority of organisations, around 24 per cent, have successfully embedded AI into core decision-making processes or wider business operations.

 

The findings discern a widening disconnect between the enthusiasm towards AI capabilities and adoption and the structural changes required to fully realise its value. Many organisations, for example, have yet to redesign workflows, retrain employees or modernise internal systems to support more advanced implementation, limiting the broader commercial impact of the technology.

 

Catherine Rousseau, Technical Solutions Director at AND Digital commented: “AI investment is accelerating, but the real determinant of success is whether organizations are ready to deploy AI at scale, and that readiness depends entirely on data quality and governance. When 58 per cent of organizations describe their data as ‘chaos’, it’s clear why many struggle to move from pilots to production.”

 

“The leaders in AI are the ones investing in high-quality data solutions and without governance and reliable data contracts, AI workloads become brittle, costly, and difficult to audit. This year’s surge in AI infrastructure spending will only deliver value for organizations that pair it with disciplined data readiness, turning raw datasets into governed, high-trust assets that can power reproducible and compliant AI pipelines.”

 

Concerns around oversight, governance and security and intensifying how AI adoption accelerates beyond organisations’ abilities to manage the associated risks, with 40 per cent of companies still lacking formal policies or governance frameworks.

 

Businesses are struggling to monitor how employees utilise AI tools and what data is being shared externally, with 45 per cent noting they lack visibility into how company data is being shared through AI systems creating growing concerns around compliance, accountability and cybersecurity exposure.

 

Sachin Agrawal, Managing Director for Zoho UK, commented: “Consumer concerns over AI accountability are an important signal for businesses to prioritise safety and ethics at the centre of their AI deployments. Buyers and users want to trust the AI systems they are interacting with, especially when it comes to autonomous systems that may not always have strict oversight and audit trails.

 

As AI deployment cycles accelerate and everyday usage continues to spike, AI systems require strong transparency and governance practices in order to demonstrate consistent oversight and responsible data handling. Having clear documentation, monitoring and standardisation are important for building trust in these AI systems, which ultimately filters down into end-user confidence.”

 

Skills shortages are also proving to be a major obstacle to progress with nearly half of organisations (49 per cent) citing a lack of AI and digital expertise as a key barrier. Businesses are increasingly competing for specialist talent and offering significant salary premiums to attract experienced professionals.

 

Sheila Flavell, CBE, COO of FDM Group commented: "In order for companies to remain competitive in this AI driven workforce, employees must have the right expertise to work these tools, or risk AI initiative underdelivering or failing to achieve measurable results. Therefore, it is essential to focus on continuous upskilling across all levels of the workforce, ensuring employees can effectively collaborate with AI tools, make informed decisions, and maintain oversight."

 

Despite these challenges, businesses remain optimistic about AI’s long-term economic potential. AI has the potential to drive future innovation, growth and competitiveness across the UK economy however, without stronger governance frameworks, workforce investment and operational transformation, organisations risk stifling the potential of AI adoption and missing out on the immense opportunity it offers.

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