Artificial intelligence (AI) is increasingly and rapidly entering the realm of social life, including the labor market and workplaces. Although it is currently impossible to predict how this will evolve in the future, the current capabilities and future potential of this technology are central to discussions about its impact on jobs. This master's thesis explores the impact of AI on the potential reduction or elimination of jobs, the creation of new ones, and the transformation of existing jobs in the coming years, while identifying key measures for effectively addressing its consequences. The research was conducted within banking group X, which is adopting strategic decision-making processes based on data collection, analysis, and interpretation, including through the use of AI tools. The findings confirm theoretical assumptions that AI-driven automation will completely eliminate very few professions in the near term, but will affect almost all jobs to a greater or lesser extent. Existing jobs will change, while complex and creative tasks will still mostly be done by people. To adapt to these changes, employees will need to learn new skills and competencies for using AI and take on more demanding tasks. To fully leverage the potential of this new technology for greater productivity and efficiency, long-term investments in employee education and retraining will be crucial. Moreover, fostering agility, resilience, and adaptability will be essential, as everyone’s work is likely to change to some extent in the coming period.
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