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      UK businesses are committed to AI

      Artificial Intelligence is a strategic priority for UK organisations, even when traditional return on investment (ROI) is proving difficult to measure. KPMG’s quarterly AI Pulse report draws together the insights from a panel of over 2,000 global business leaders, including more than 100 in the UK, for their views on a variety of AI topics including ROI, productivity and the shifting workforce and talent pipeline.

      KPMG’s latest AI Pulse, which focuses on the first quarter of 2026, reveals how business leaders are shifting from viewing AI as a short-term productivity tool to treating it as a long-term enabler of enterprise-wide transformation.

      While investment continues to accelerate, this latest research shows that real value depends less on how much AI is deployed, and more on how well it is governed, integrated and operated across an organisation.

      Leanne Allen

      Partner, Head of AI Advisory

      KPMG in the UK


      Paul Henninger

      Partner and Head of Technology & Data

      KPMG in the UK



      UK highlights from the latest AI Pulse

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      65% of UK organisations say they would continue investing in AI even without measurable, short-term ROI

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      70% say AI would remain a top investment priority even if the UK entered a recession

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      94% are using or planning to use AI agents — but maturity and coordination vary significantly


      Download the report

      Read the full global AI Pulse report

      Discover how organisations are investing in and scaling AI, where value is being realised and what leaders are doing differently to prepare their organisations for the next phase of AI

      Growing confidence in ROI – but challenges remain

      UK organisations are no longer asking whether to invest in AI, but how to make it work across the enterprise.

      The research shows growing confidence in measuring AI’s impact on key areas of the business, with leaders certain about measuring ROI on productivity (76%), performance (71%) and decision making (67%).

      But at the same time, organisations face ongoing barriers to scaling value, with 41% citing risk management – including cybersecurity and data privacy – as key AI challenges to AI strategy, followed by data quality and workforce readiness (32%).


      AI is reshaping how organisations operate, how decisions are made, and how human and AI agents work together day‑to‑day. To get real value, businesses need to be intentional about where and how they deploy it, ensuring it supports their business goals and enables new ways of working. The organisations that take this more thoughtful, enterprise‑led approach will be the ones who fully realise the benefits of the technology.

      - Dr Leanne Allen, Head of AI, KPMG UK

      From AI experimentation to scaling with trust

      UK businesses are moving, or planning to move, beyond early productivity tools to more advanced AI agents. 19% are actively scaling AI agents across multiple functions to automate and coordinate work end-to-end. However, with a third of organisations (34%) still in the exploration or pilot stage, the findings show that while the appetite and willingness to fully shift to AI agents is there, it's not cut and dried for UK businesses.

      With AI agents comes additional levels of risk. Organisations are acutely aware of this, with 48% looking at AI agents as augmented support for employees and providing training for their workforce.

      39% of UK organisations are adopting a ‘human-in-the-loop' approach where a human validates outputs but does not oversee each agentic action or decision. And 37% are going as far as not allowing AI agents to access sensitive data without human oversight.

      While the picture may be mixed with regards to the maturity of scaling AI, doing so safely and effectively requires more than technology. It demands the right governance, controls and operating model from the outset.


      Whatever form of AI an organisation is using or planning to use, it is critical to have the right guardrails in place to minimise risks — whether that’s accuracy issues, unreliable model outputs or the behavioural risks that come from how people use the technology. It’s not only about ensuring the technology can be trusted, but also the people operating it. Building in appropriate, proportionate controls from the start — through design, development, deployment and continuous monitoring in production — will lead to better, safer outcomes.

      - Dr Leanne Allen, Head of AI, KPMG UK

      Workforce transformation is critical

      As AI becomes embedded in day-to-day work, UK leaders must rethink their strategies to meet the needs of an AI-enabled workforce – and that includes both existing and future talent.

      61% of UK businesses are currently upskilling or reskilling their current workforce or planning to do so. Just over half (52%), meanwhile, are recruiting new roles, such as prompt engineers or AI architects, and 48% are redesigning job roles.

      But whether they are confident that their current pipeline can meet these needs is a different question. Overall, they are, with only 15% of respondents saying they are not.

      The increased use of AI agents in the workplace will undoubtedly impact the employee workplace experience that businesses are looking for. Our survey reveals that UK businesses are now most focused on finding entry level employees who have adaptability and appetite for continuous learning (57%), critical thinking and problem-solving skills (52%) and technical or programming abilities (50%). And above all, they’re seeking out employees who have an ability to work effectively alongside the AI systems they have adopted and will look to adopt in the future.


      As AI changes how work gets done and as human and AI agents increasingly collaborate, job roles themselves are being reshaped. That means the fundamental skills required include adaptability, critical thinking, judgment, and the ability to work effectively with AI systems. Many of these skills already exist within the workforce and can be unlocked with the right training, role redesign and learning opportunities.

      - Dr Leanne Allen, Head of AI, KPMG UK



      AI Pulse: three key takeaways

      As businesses move past the need for immediate ROI and start to treat AI as a long‑term strategic lever, they must do so with the understanding that value won’t come from investing blindly.

      Throughout the shift from productivity tools to more powerful AI agents, strong technical and human guardrails are necessary to manage risk and build trust.

      AI is reshaping jobs as much as technology, making adaptability, judgement and the ability to work effectively with AI just as critical as technical skills.



      Explore how KPMG can help

      Many organisations struggle to turn AI ambition into real impact — held back by unclear priorities, data challenges and concerns around risk and trust. KPMG can help you apply artificial intelligence where it matters most, combining strategy, technology and governance to deliver value responsibly and at scale.


      You can with AI

      KPMG helps you design, build and scale AI solutions that accelerate performance, unlock value and manage risk and complexity with confidence.


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