The government is exploring the integration of artificial intelligence systems to manage administrative and middle management positions within the public service, a move aimed at controlling escalating costs. This initiative, currently in its preliminary stages, is envisioned as a decade-long transition designed to redeploy personnel rather than trigger widespread layoffs.

This strategy is one of several under consideration by the Department of Public Expenditure to address what it terms unsustainable growth in public sector recruitment and pay. The plan primarily targets roles involving daily administrative tasks, such as processing human resources requests and payroll, functions where AI has already seen partial implementation.

The public service pay bill has seen a significant increase, rising by €12 billion since 2020 to a total of €34 billion this year, a 55% increase in less than six years. This expenditure growth is attributed to higher pay rates under state-backed agreements and a substantial increase in recruitment, with over 70,000 new employees joining the civil service since 2020, bringing the total public sector workforce to more than 420,000.

Public Expenditure Minister Jack Chambers has previously criticized the strategy of "endless recruitment," noting that approximately one-third of public spending is allocated to salaries, with a notable portion linked to the expansion of middle management roles. Senior government sources indicate that leveraging AI and other technologies for low-risk administrative tasks is a key consideration for budget management.

Discussions around AI integration are intensifying ahead of the upcoming budget and ongoing public pay negotiations, which are currently at an impasse. Ministers emphasize that any staff affected by AI implementation would be upskilled and redeployed, a process anticipated to take between five and ten years. Several government strategies for public sector improvement have already highlighted AI's potential to transform service delivery.

AI is currently employed across various public sector functions, including data analysis, categorization, and forecasting, and is used to enhance internal and external communications. Enterprise Minister Peter Burke has acknowledged AI's impact on the labor market, prompting government efforts to anticipate and address potential challenges through training and sector-specific reviews.

The current Responsible Use of AI policy guides public servants on incorporating AI into their work, emphasizing a "human in the loop" approach to maintain transparency, prevent bias, and ensure services remain person-centered, in line with European Commission guidelines. This policy prohibits AI use in legal tasks or management reporting structures where service standards could be compromised.

Examples of AI application include the Department of Agriculture's use of the technology to analyze grant applications, significantly reducing errors. By 2030, AI is expected to be central to the public sector's digital service experience.

Work is underway to train public sector staff on lower-level AI task utilization. Additionally, state-funded programs have provided upskilling for 33,000 private sector workers from vulnerable industries. Government departments are also reviewing existing AI procurements to identify further applications.

The growing public service pay bill is a focal point in the dispute between the government and public sector unions. The Irish Congress of Trade Unions has requested clarity from the Department of Public Expenditure on pay increase parameters ahead of negotiations. Recently, unions backed a 24-hour strike action amid stalled talks, with several workforces, including council workers, nurses, and administrative staff, reportedly issuing notice of industrial action.

Minister Chambers has urged union leaders to resume negotiations, stating that future pay adjustments must consider the significant expansion of staff and service investment. He aims to achieve a fair agreement for public sector workers while simultaneously driving reforms and productivity across the service.