The Impact of AI Implementation on Job Transformation and Competency Requirements: Prioritising Reskilling and Soft Skills Development
Abstract
Purpose: This research contributes to understanding how organisations are navigating AI-driven workforce transformation by prioritising human-centric competencies and strategic reskilling to improve the quality of human resources rather than widespread job elimination.
Methodology/Approach: This case study investigates the real impact of AI implementation on job transformation within the top 100 Czech companies.
Findings: The study found a strong negative correlation between employee training and new recruitment, suggesting organisations prefer upskilling to replacement. Industry-specific approaches vary significantly.
Research Limitation/implication: As AI continues to reshape work, these insights can guide organisations in developing effective strategies that leverage both technological capabilities and uniquely human skills.
Originality/Value of paper: These findings provide evidence that while AI is transforming jobs in Czech companies, organisations are strategically adapting through reskilling rather than widespread job cancellations, with soft skills becoming increasingly valued as technical tasks are automated.
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Authors
Copyright (c) 2025 Lucie Depoo, Lenka Hajerová-Mullerová, Zdeněk Kronberger, Gabriela Říhová, Marek Stříteský, Marie Hořáková, Kateřina Legnerová, Marcela Palíšková, Otakar Němec, David Šmíd, Tomáš Jurčík, Martin Kopecký
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