Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: Amid the new developments in AI and Automation across the globe, it is noteworthy that the IT industry in Poland also shows growing trends in the applications of AI and automation technologies in the IT sector. It has shown that these trends have impacted on the labor market conditions in the IT industry in Poland. Need for the study: Hence, this paper aimed at resolving the research problem of what are the impacts of artificial intelligence (AI) and automation on employment structures, job roles, and new skill requirements in the IT industry in Poland? In resolving this problem, the authors questioned the emerging new competencies and workforce perceptions in the IT industry, while assessing how education and HR strategies to be adapted to prepare for such future labor market trends in the IT industry in Poland. Methodology: This research employed a mixed-methods approach that combined a review of scientific literature and global reports that present research results on the phenomenon in question as well as analyzed data, gathered qualitatively using in-depth interviews, held with the experts in the IT industry in Poland. This approach allowed the authors to obtain a greater understanding of context-specific trends and events around the phenomenon in question. The results revealed that AI and automation have impacted on the employment structures, new skills, and reskilling, changing job roles and organizational priorities, and redefining workforce expectations. Findings: Further, the study presented the importance of proactive adaptation, redesigning education systems, and shaping hybrid skill sets that integrate technological proficiency with human-centric competencies. Last, the authors argued that fostering a synergistic partnership between human talents and AI technologies is essential to building a resilient, inclusive, and future-ready labor market. Practical Implications: This will implicate in demanding continuous learning and digital fluency to equip the workforce with AI-driven competences and job structures, ensuring sustainable and inclusive employment growth. Importantly, this will create a critical need from the state for appropriate changes in relevant Acts and legal regulations.