AI Adoption in Ireland Has More Than Doubled: What It Means for Growing Businesses

More than one in five enterprises in Ireland used artificial intelligence during 2025, according to the Central Statistics Office. The recorded adoption rate was 20.2%, compared with approximately 8% in 2023. In two years, the proportion of businesses using AI more than doubled.

Adoption varies sharply by company size. Approximately 57.7% of large enterprises reported using AI, compared with 28.6% of medium-sized enterprises and 17.2% of small enterprises. The gap reflects differences in budgets, data, specialist skills and technology infrastructure, but it does not mean smaller businesses are excluded from the opportunity. In many cases, a smaller organisation can test and implement a focused AI workflow more quickly because it has fewer systems, approval layers and legacy processes.

How Irish businesses are using AI

The CSO data shows several practical uses. Data mining was the most frequently reported AI technology, used by 10.8% of enterprises. Natural-language generation was used by 9.3%, while 6.2% used AI to automate workflows or assist decision-making.

These applications demonstrate that AI is relevant beyond the technology sector. A professional-services firm can use it to organise information and accelerate document review. A sales team can use it to prepare research and personalise follow-up. An operations team can automate repetitive routing, reporting and administrative work.

The strongest projects usually begin with a defined commercial problem rather than a broad instruction to introduce AI:

• Which repetitive processes consume the most employee time?
• Where are customers waiting too long for a response?
• Which reports are manually assembled every week or month?
• Where is important business knowledge difficult to find?
• Which decisions would improve with faster access to reliable information?

AI strategy is a leadership responsibility

AI adoption is often described as a technical programme, but its success depends on management decisions. Leaders must select the right use cases, define acceptable data use, assign responsibility, measure outcomes and ensure employees understand when human judgement is required.

The first pilot should be small enough to control and important enough to measure. A practical sequence is to identify one process, document the current time and cost, test an AI-supported workflow with a small team, and compare the result against quality, speed, risk and customer experience.

What AI means for teams and workplaces

This also changes the role of the office. For hybrid businesses, the office can become a place for collaboration, onboarding, confidential discussions, training and decision-making rather than simply a desk that every employee occupies every day. Companies may need fewer fixed workstations but higher-quality private rooms, reliable technology and a central place where distributed colleagues can meet.

A practical next step for CEOs

• Choose one measurable business problem rather than an organisation-wide transformation.
• Confirm the data and security requirements before selecting a tool.
• Keep a human owner responsible for the output and customer impact.
• Measure time saved, error reduction, revenue influence and employee experience.
• Create a clear policy for confidential, personal and regulated information.

FAQ

Do I need a large budget to start with AI? No. Focused pilots on a single, well-defined process often require limited investment before scaling.

Does AI reduce the need for office space? It changes the type of space needed — fewer fixed desks, more high-quality private and collaborative rooms.