Automation, artificial intelligence and future skills needs: An Irish perspective
Open accessAbstract
Purpose This study explores insights from key stakeholders into the skills they believe will be necessary for the future of work as we become more reliant on artificial intelligence (AI) and technology. The study also seeks to understand what human resource policies and educational interventions are needed to support and take advantage of these changes. Design/methodology/approach This is a qualitative study where a sample of highly experienced representatives from a range of small to large Irish organisations, both public and private, provide insights into this important topic. Findings Findings indicate participants see a continued need for soft and hard skills as we evolve towards a more technologised workplace, with a need for employees to adopt a lifelong learning philosophy. As the knowledge economy in Ireland is well established, experts do not expect mass displacement to occur but differ with respect to the predicted rate of change. Novel HR interventions such as hiring for potential, pooling talent and establishing postgraduate supply contracts are seen as key. Current state interventions were mostly viewed positively but revamping of curricula is needed as well as stronger partnerships with tertiary institutions. Research limitations/implications The interpretivist nature of the study limits the generalisability of the findings as they are based on a relatively small sample from one country. Also despite the significant expertise of the sample, it is not possible to predict whether their forecasts will manifest. Practical implications This research highlights the need for Irish SMEs to embrace the impacts of automation and AI as many are seen to be slow in reacting to changes in technology. The study also reveals cutting edge talent management interventions for employers to adopt that will insulate them from the challenges technological change presents to recruitment and employee development. Originality/value The findings from this paper culminate in the development of a conceptual framework, which encapsulates the responsibilities of all parties so that future skills needs will be met. This highlights the interplay between employers, individuals/employees, the Irish Government and educational institutions, demonstrating how they are interdependent on one another as we move towards a more technologised future.
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Technological advancements are one of the main causes of changing demand.
“with technological advancements considered one of the main causes of changing demand [3,4].”
From Exploring the Impact of AI Tools on Cognitive Skills: A Comparative Analysis (2025) · cites this paper as [4]
Soft skills continue to be high in demand.
“while soft skills continue to be high in demand [4].”
From Exploring the Impact of AI Tools on Cognitive Skills: A Comparative Analysis (2025) · cites this paper as [4]
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Striełkowski, W., Султановна, О. А., Gorina, L. N., & Korneeva, E. N. (2026) · Integration of Education · doi:10.15507/1991-9468.26302.238-257 · Cited by 1 · see citing works
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- Authors
- Bukartaite, R., & Hooper, D.
- Affiliations
- Technological University Dublin (IE)
- Corresponding author
- Hooper, Daire
- Venue
- European journal of training and development
- Publisher
- Emerald
- Published
- 2023-09-27
- Volume
- 47
- Issue
- 10
- Pages
- 163-185
- ISSN
- 2046-9012 (ISSN-L)
- OpenAlex
- W4387060075
- Cited by
- 65
- References
- 50
- Citations by year
- 2026: 17 · 2025: 27 · 2024: 21
- FWCI
- 18.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European journal of training and development (publishedVersion, cc-by)
- Arrow - TU Dublin (Technological University Dublin) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Corporate Management and Leadership
- Social Sciences › Decision Sciences › Information Systems and Management › Education, Management, Technology, Human Resources
- Keywords
- future skills needs, artificial intelligence, automation, future of work, personnel policy, lifelong learning, talent management, curriculum reform, employer-education partnerships, small and medium-sized enterprises, conceptual framework
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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