Repetitive work is expensive.
Ireland
The shift has already started.
Share of Irish enterprises using AI.
The adoption gap is already wide.
17.2%
57.7%
Small = 10–49 people · Large = 250+ · Source: CSO Ireland, 2025 · ⓘ Method
Your team has better things to do
Up to1,000hours a month
People who use it say it gives time back.
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Base: surveyed AI users · Source: Microsoft & LinkedIn, 2024 Work Trend Index · Vendor research · ⓘ Method
Technical potential
60–70%
of employee time is spent on activities that existing technologies have the technical potential to automate.
Your numbers
What is repetitive work costing you?
Hours / year
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Labour cost
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Working days
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Time value
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Working days
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Full-time equiv.
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Illustrative capacity based on your inputs. Not a guaranteed saving. {{ formula }}
Less repetitive work. More capacity without more admin.
Sources & methodology +
Central Statistics Office Ireland
Information Society Statistics: Enterprises 2024 (released Feb 2025) and 2025 (released Feb 2026)
Measured: Annual EU-harmonised survey of about 4,000 enterprises with 10+ persons engaged in manufacturing, construction and selected services. 2023 and 2024 figures from the 2024 release; 2025 figures from the 2025 release.
Limitations: Figures are shown to one decimal place as published in CSO tables; CSO headline text rounds them (for example “more than 20%”). Excludes firms under 10 people. Measures use, not depth or results.
cso.ie: ISSE 2025 ↗ · ISSE 2024 ↗Trinity College Dublin with Microsoft Ireland
AI Economy Ireland 2026 · published 29 April 2026
Measured: Survey of senior leaders across 250 organisations in Ireland, December 2025 to January 2026. Hours are modelled from self-reported time savings, sectoral employment counts and a 48-week year.
Limitations: Produced in collaboration with Microsoft, which sells AI products. “Up to” is an upper figure for a typical mid-sized organisation, based on self-reports rather than measured time.
news.microsoft.com: AI Economy Ireland 2026 ↗Microsoft & LinkedIn
2024 Work Trend Index Annual Report · published May 2024
Measured: Survey of knowledge workers across multiple countries. The 90% and 85% figures are among respondents who use AI at work.
Limitations: Vendor research. Self-reported perceptions from existing AI users, not measured productivity. Global, not Irish.
microsoft.com/worklab: Work Trend Index 2024 ↗McKinsey Global Institute
The economic potential of generative AI: The next productivity frontier · June 2023
Measured: Modelled analysis of work activities across occupations, estimating the share of time spent on activities current technologies could technically automate.
Limitations: Technical potential only. Does not account for cost, adoption, regulation or whether automation is worthwhile. Not a prediction of workload reduction for any business.
mckinsey.com: The economic potential of generative AI ↗