Usposabljanje za napredne veščine v času umetne inteligence

Artificial intelligence (AI) is reshaping the workforce, introducing both opportunities and challenges.While AI automates repetitive tasks, it also increases the demand for new skills, raising concerns about job security and workforce adaptability.To remain competitive in an AI-driven job market, employees must develop relevant skills, yet many organizations struggle to implement effective upskilling strategies.Without structured workforce development initiatives, workers risk being left behind, increasing the digital skills gap.This master thesis aims to raise awareness of the need for AI upskilling and provide practical solutions for organizations to enhance workforce readiness.It examines AI training programs, self-learning methods and the key challenges employees face in acquiring AIrelated skills.In addition to analyzing case studies, primary data was collected through online interviews which were conducted to gather insights from industry professionals.Using a combination of primary and secondary data analysis, this research offers evidencebased recommendations to help organizations design structured AI training initiatives.The goal is to ensure that employees can successfully integrate AI into their work, maintain employability and thrive in an evolving labor market.The results show that organizations with a clear upskilling strategy, strong leadership support and inclusive learning environments are more successful in adapting to AI-driven change.Tailored training approaches, integrated feedback mechanisms and cross-functional collaboration emerged as critical enablers.Based on these findings, the thesis recommends investing in role-specific learning pathways, embedding training into daily workflows and promoting a culture of psychological safety to improve engagement and long-term workforce resilience.