Key findings

  • General and keyboard clerks score 9.0/10 AI exposure across 34,400 workers (median wage $42,645). Ireland's clerical workers - processing invoices, entering data, and handling administrative correspondence for MNC back-offices and financial services firms - are the group most directly in the path of large language model deployment. These tasks have been automated first everywhere LLMs have been deployed at scale.
  • ICT professionals score 8.5/10 across 111,100 workers (median wage $74,615). This is Ireland's most strategically significant exposure: the 111,100 ICT workers represent approximately 4% of Ireland's workforce. They work primarily at or adjacent to the tech MNCs (Google, Meta, Apple, Microsoft, Salesforce, LinkedIn) that are also the fastest AI adopters. These companies deploy AI in their own operations first.
  • Customer services clerks score 8.5/10 across 56,700 workers. Customer service is the function where AI deployment is most advanced globally - chatbots, automated routing, AI-drafted responses. Many of Ireland's MNC customer service operations were specifically located here due to English-language advantages. That structural advantage narrows as AI handles more of the actual interaction.
  • Numerical clerks score 8.5/10 across 60,700 workers, and business and administration professionals score 8.0/10 across 202,900 workers (median wage $73,400). The business/admin professionals group is Ireland's largest high-AI-exposure segment by worker count.
  • Agricultural labourers score 1.5/10, food preparation assistants 1.5/10, and refuse workers 1.5/10. Building trades workers score 2.0/10 across 97,800 workers. Physical and outdoor work remains sheltered.

2.8 million workers, CSO Ireland and OECD 2025 data

Employment data comes from CSO Ireland (Central Statistics Office) Quarterly National Household Survey and Labour Force Survey, using ISCO-08 major group classifications. Data year: 2025, covering approximately 2.8 million workers. Wage data from Eurostat Structure of Earnings Survey 2022 and OECD Average Annual Wages 2024 (USD PPP). Ireland's informal employment rate is approximately 3.89%, so the formal workforce figure covers most but not all employment.

Ireland's OECD average annual wage of $60,431 USD PPP reflects the two-tier structure of the Irish economy: a high-wage multinational sector and a more typical Western European domestic services sector. The gap between them is large. An ICT professional at a tech MNC in Dublin may earn $90,000-$120,000; a shop assistant or food service worker earns significantly less. This wage structure shapes the AI disruption timeline differently for different occupation groups.

2.8M
Total workers (CSO + OECD 2025)
5.11/10
Weighted avg AI exposure
$60,431
OECD avg annual wage (USD PPP, 2024)

The most AI-exposed occupations in Ireland

General and keyboard clerks score 9.0/10 AI exposure - the highest of any occupation group in Ireland. At 34,400 workers with a median wage of $42,645, this group is the clearest near-term AI substitution target in Ireland. Data entry, invoice processing, document management, and administrative scheduling are the task types that have been most consistently replaced by AI tools in early deployment cycles. Ireland's large MNC back-office sector employs substantial numbers in exactly these roles.

ICT professionals at 8.5/10 across 111,100 workers are Ireland's defining AI exposure story. No other country of Ireland's size has 4% of its workforce in ICT professional roles at this exposure level. The concentration is a direct consequence of two decades of MNC location policy: Ireland attracted tech company European headquarters by offering low corporation tax, an English-speaking workforce, and EU market access. The result is that Dublin's Docklands district - Europe's "Silicon Docks" - houses the European operations of more major tech companies than any other city. These same companies are deploying AI tools aggressively within their own operations, compressing the workforce needed to run them.

Business and administration professionals (202,900 workers, 8.0/10) represent Ireland's largest single high-exposure group. This includes financial analysts, management consultants, human resources specialists, marketing professionals, and the layers of business operations staff that MNC operations require. At a median wage of $73,400, these workers are economically attractive substitution targets as AI tools for analysis, reporting, and communication mature.

Occupation groupWorkersAI scoreMedian wage (USD PPP)
General and keyboard clerks34.4K9.0/10$42,645
ICT professionals111.1K8.5/10$74,615
Customer services clerks56.7K8.5/10$38,900
Numerical clerks60.7K8.5/10$50,100
Business and administration professionals202.9K8.0/10$73,400
Finance and math science professionals75.3K8.0/10$82,100

Ireland's MNC economy: tech concentration and AI exposure

Ireland's AI exposure profile is unusual among countries of its size. The weighted average of 5.11/10 is higher than France (with 30 million workers), higher than Italy, higher than Spain. The reason is structural: Ireland's economy was deliberately shaped around attracting high-value knowledge work through low corporate tax rates (currently 15% for large companies under the global minimum, historically 12.5%). The companies that came are also the companies deploying AI most aggressively.

Google's EMEA headquarters in Dublin employs over 7,000 workers, primarily in sales, operations, trust and safety, and engineering. Meta's Dublin operation runs European policy, sales, and content moderation. Apple's Cork campus handles European distribution, sales operations, and support. LinkedIn, Salesforce, Twitter (X), and Stripe all have major European operations in Ireland. These companies represent the leading edge of AI deployment - and the first wave of AI-driven headcount reduction will likely come from within these same operations, or from their local suppliers and contractors.

The pharma sector adds a second layer of professional employment in Ireland. Pfizer, AstraZeneca, MSD (Merck), and Johnson & Johnson all have major Irish manufacturing and distribution operations. Pharma professionals in regulatory affairs, quality assurance, and clinical data management score in the 6.0-7.5/10 AI exposure range - significant, but with a longer displacement timeline due to regulatory complexity and quality requirements. For comparison, see Netherlands AI job risk and Sweden AI job risk for countries with similar professional workforce concentrations.

"Ireland's 5.11/10 weighted AI exposure is the highest of any Western European country in this dataset. Decades of MNC attraction policy filled the labour market with exactly the knowledge work that AI substitutes best."

The safest jobs from AI in Ireland

Agricultural labourers, food preparation assistants, and refuse workers all score 1.5/10 - Ireland's lowest AI exposure scores. Agricultural labourers (18,300 workers) work in Irish farming: livestock management, crop harvesting, and the physical work of Ireland's substantial agri-food sector. Food preparation assistants (47,100 workers) work in Ireland's large hospitality and food service sector - cafes, restaurants, catering firms. Refuse workers (26,700 workers) collect and process waste in operations that require physical on-site presence.

Building trades workers score 2.0/10 across 97,800 workers. Ireland's housing crisis has driven sustained demand for construction trades - electricians, plumbers, carpenters, bricklayers. These roles are not just AI-resistant; they are in strong structural demand through 2030 due to the government's housing delivery targets. The combination of low AI exposure and high labour demand makes building trades among the most resilient occupational choices in Ireland's current labour market.

Occupation groupWorkersAI scoreRobotics risk
Agricultural labourers18.3K1.5/104.0/10
Food preparation assistants47.1K1.5/103.5/10
Refuse workers26.7K1.5/104.5/10
Building trades workers97.8K2.0/103.5/10
Personal care workers98.4K2.0/102.0/10

What this means for Irish workers right now

The near-term risk for Ireland's workforce is concentrated in two specific groups: clerical workers in MNC back-office functions and customer service roles, and ICT professionals at tech companies actively deploying AI. Both groups are seeing the same signals across the organisation - slower replacement hiring when positions open, AI tools handling tasks that previously required dedicated headcount, and restructuring announcements that reduce operations team sizes while maintaining or growing engineering and AI specialist teams.

Ireland's social protection system - jobseeker's benefit, the Back to Education Allowance, and SOLAS (Skills and Labour Operational Supports) retraining programmes - provides some buffer for displaced workers. But Ireland has a specific structural vulnerability: a large share of its high-wage employment is in foreign-owned MNCs that can relocate operations or consolidate European functions in other jurisdictions. AI-driven consolidation of European operations at tech companies creates a risk that Ireland loses not just clerical roles but entire functions to centralisation, rather than simply having roles eliminated locally.

For workers in the 8.5-9.0/10 exposure range, the practical timeline is 2-4 years for significant role compression. The 202,900 business and administration professionals at 8.0/10 have slightly more time - AI augments rather than replaces senior professional roles in the first wave - but the compression of junior and associate-level positions in these fields is visible in hiring data now. Compare with our US analysis and UK analysis for the most comparable English-language economies.

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Interactive breakdown of all major occupation groups - AI exposure, robotics risk, and employment data across Ireland's workforce.

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Methodology

Employment figures are from CSO Ireland (Central Statistics Office) Quarterly National Household Survey and Labour Force Survey, using ISCO-08 major group classifications. Data year: 2025, covering approximately 2.8 million workers. Wage data from Eurostat SES 2022 and OECD Average Annual Wages 2024 (USD PPP). AI exposure scores reflect the proportion of an occupation's core tasks that current AI systems can perform or significantly augment. Ireland's informal employment is approximately 3.89%. Scores informed by Frey-Osborne (Oxford 2017), OECD task-automation analysis, and IMF Gen-AI impact studies (2024).

Frequently asked questions

Which Ireland jobs are most at risk from AI in 2026?
General and keyboard clerks score 9.0/10 AI exposure in Ireland across 34,400 workers. ICT professionals score 8.5/10 across 111,100 workers, followed by customer services clerks at 8.5/10 across 56,700 workers. Numerical clerks score 8.5/10 across 60,700 workers. Business and administration professionals score 8.0/10 across 202,900 workers.
How many Irish workers are affected by AI risk?
Ireland has 2.8 million workers tracked by CSO Ireland and OECD 2025 data. The weighted average AI exposure is 5.11/10. ICT professionals at 8.5/10 across 111,100 workers and business/admin professionals at 8.0/10 across 202,900 workers form Ireland's largest high-exposure groups.
Which Ireland jobs are safest from AI?
Agricultural labourers score 1.5/10 AI exposure across 18,300 workers. Food preparation assistants score 1.5/10 across 47,100 workers. Refuse workers score 1.5/10 across 26,700 workers. Building trades workers score 2.0/10 across 97,800 workers. Physical, outdoor, and on-site work is least exposed.
Where does Ireland workforce data come from?
Employment data comes from CSO Ireland (Central Statistics Office) Quarterly National Household Survey and Labour Force Survey 2025, using ISCO-08 classifications. Wage data from Eurostat SES 2022 and OECD Average Annual Wages 2024, covering 2.8 million workers.
Does Ireland's tech MNC presence increase AI job risk?
Yes. Google, Meta, Apple, and Microsoft EMEA headquarters in Dublin concentrate high-AI-exposure knowledge work in Ireland's workforce. ICT professionals score 8.5/10 across 111,100 workers. These companies are also the fastest AI adopters, compressing headcount in support and operations roles.

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