In recent years, the image of artificial intelligence has been linked to major shifts in the nature of work within companies, as smart tools have expanded to cover most daily tasks, from data analysis to decision-making and performance evaluation.
However, recent data and reports highlight an important paradox: the speed of digital transformation has not necessarily changed what employees want from their workplaces.
According to McKinsey, recent figures indicate that nearly three-quarters of employees now use AI in their tasks, compared to less than two-thirds two years ago.
The impact of these mechanisms is most evident among employees at the start of their careers, as automation has paved the way for the disappearance of entry-level jobs in many sectors.
This has been reflected in employment figures, with the unemployment rate rising among new university graduates and job mobility opportunities declining for those with recent experience.
Nevertheless, these shifts have not changed workers' priorities. The desire to quit among new employees has decreased, but this is not linked to improved working conditions; rather, it is due to the difficulty of finding alternative opportunities in a highly competitive market.
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In contrast, experienced employees in AI face a different reality. These in-demand workers benefit from the high demand for their skills and receive better job offers, whether in terms of salaries, remote work benefits, or attractive work environments. The challenge here lies in companies' ability to attract and retain this elite talent within their teams.
And as the form of tasks and the way work is performed change, the reasons for job satisfaction around the world remain the same: the majority seek a supportive atmosphere, appreciation for effort, flexibility in hours and location, and clear opportunities for growth.
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In contrast, the reasons for quitting have not changed: weak compensation, lack of inspiring leadership, limited career advancement, or working in a rigid environment.
Here, the need arises for three serious approaches for companies to balance technology and the human aspect:
- First, investing in developing leaders and middle management to enhance support and guidance.
- Second, expanding digital awareness and technical skills for all employees while providing extra care for those with advanced AI skills to ensure their retention.
- Third, reviewing policies for developing and training new hires and leveraging their desire to stay by offering a rich professional experience.
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Technology continues to evolve, but what people want from their work seems not to have changed much: a stimulating environment, leadership that embraces ambition, and appreciation for efforts.
And it seems that companies' success in the coming years will depend on balancing investment in tools with attention to the values and professional relationships that no technology can replace.
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