It also creates differences in economic opportunities and job market dynamics. Artificial intelligence is automating many tasks, leading to more jobs being displaced in some fields as people find their current skills obsolete. The concern is that workers displaced by automation may struggle to find new jobs if they lack the AI and digital skills needed to transition into new roles. At the same time, the problem is exacerbating as most traditional education institutions are slow to integrate AI training into their curricula, leaving graduates lacking the necessary digital skills.
One of the growing trends is that employers increasingly want candidates benin number dataset to have AI-related skills, even for positions that have not traditionally required them. This shift in expectations can leave many candidates unprepared for interviews. Is there a skills gap? According to the World Economic , at the current pace of technological change, employers predict that 44% of worker skills will be disrupted within the next five years.
As a result, 6 out of 10 workers will need training by 2027, with analytical thinking, artificial intelligence and big data being key training priorities. This digital skills gap appears to be a recurring theme internationally: the European Commission developed the Digital Economy and Society Index (DESI), which focuses on Europe’s digital performance. The report highlights that more than three-quarters of EU companies say they struggle to find workers with the necessary skills.
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