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Irish businesses outpace global peers in AI maturity, impact and trust

Quarter of organisations polled at 'transformative' maturity stage of AI adoption - nearly three times the global average
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17 November 2025

New research from IDC exploring the use, impact and trustworthiness of artificial intelligence (AI), has found that Irish businesses are ‘significantly’ ahead of the global average in AI adoption maturity and trustworthiness. Ireland is also leading the way in terms of the business impact it is seeing from AI.

The Data and AI Impact Report: The Trust Imperative, commissioned SAS, found that 28% of Irish organisations said they are at the leading ‘transformative’ AI maturity stage versus a global figure of 10% and, in stark contrast, 0% in the UK.

The research also found 44% of Irish businesses were at the ‘integrated’ stage which is the next level down (compared to 28% globally). Ireland’s progress was also reflected in its data infrastructure maturity, a measure of data readiness and architecture. A fifth (20%) of respondents from Ireland were at the highest ‘optimised’ level of maturity (compared with 10% globally) and almost one-third (32%) at the next “managed” level of maturity, compared to around a quarter (26%) globally.

 

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The research also showed that Ireland is the global leader in the Impact Index, achieving a score of 4.06 compared with a global average of 3.07. The index provides a quantitative measure of realised business value from AI investments, capturing outcomes across areas such as productivity, innovation, customer experience, operational efficiency and financial returns.

Trust

Ireland is also among the highest ranked countries in the Trustworthy AI Index. This measures how far organisations have invested in practices, technologies and governance frameworks that make AI systems reliable, ethical, transparent and worthy of trust. This includes data governance, responsible AI, compliance, explainability and risk management. This underlines a key finding from the research that effective governance and a commitment to responsible AI practices can translate into meaningful business and societal value.

Commenting on the findings, Jean de Villiers, head of analytics, SAS Ireland, said: “Ireland’s leading performance in AI maturity and business impact shows the power of a well-established data and technology foundation. However, the same regulatory and compliance landscape that underpins trust also contributes to data readiness challenges. Many organisations are grappling with legacy systems and privacy constraints that slow access to high-quality data – a critical barrier to scaling AI responsibly. By modernising data infrastructure and aligning governance with innovation, Irish organisations are turning regulatory rigour into a competitive advantage.”

Ireland’s ongoing technology push and proactive embrace of AI may also help explain another finding from the research – that a lack of specialised personnel is cited less frequently than the global average. This suggests a maturing AI ecosystem supported by growing local expertise and investment in digital skills.

However, progress may be threatened by data governance challenges, which could undermine Irish businesses’ strong position in AI. The research found that data governance was identified as a challenge by 42% more respondents than the global average, potentially reflecting Ireland’s more advanced position and greater recognition of the importance of high-quality, well-managed data in realising the full potential of AI.

The research exploring AI use and adoption found that only 40% globally were investing to make AI systems trustworthy through governance, explainability and ethical safeguards, even though organisations that prioritised trustworthy AI were 60% more likely to report doubling the ROI of their AI projects.

In Ireland, 9% of organisations exhibited a strong and positive alignment, while 51% had some degree of ‘trust dilemma’ where respondents admitted a misalignment between the level of innate trust in AI and the work being done to invest in trustworthy AI systems.

More than a third of organisations (36%) were in the ‘danger zone,’ aligning with the global average of 35%. These organisations express a level of trust in AI that doesn’t align with a corresponding degree of investment in delivering trustworthy AI systems.

The research drew on a global survey of 2,375 respondents conducted across North America, Latin America, Europe, the Middle East and Africa, and Asia Pacific. Participants included a balanced mix of IT professionals and line-of-business leaders, offering perspectives from both technology and business functions.

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