Generative AI has a greater impact on women than men in a professional context. This difference is largely due to women being more represented and more concerned about technology.

According to research from Cognizant and Oxford Economics, most jobs will involve generative AI in the next decade. The impact on half of the functions is expected to be significant. Office functions such as administration, human resources, customer service and marketing, where women are often in the majority, are particularly at risk. These jobs involve many repetitive tasks that can be automated through AI tools.

What is striking is that women are more concerned about the influence of AI on their work than men. While 41 percent of women fear negative consequences, the figure is 35 percent of men. This difference in perception could be an indication that companies need to adopt gender-specific approaches when implementing AI.

Training and diversity as key

To reduce gender inequality through AI, organizations must be proactive. Providing training and retraining is essential to help employees understand and use AI effectively. It is important that employees learn to recognize the benefits of AI, which increases trust in the technology.

In addition, human skills such as empathy and creativity play a crucial role in the new work context. These characteristics, which AI cannot replicate, are important for building strong customer relationships and a flexible work culture.

Involvement at government level can also help reduce structural inequalities. By involving more women in decisions about AI, technologies will become more inclusive and trustworthy.

Win-win for companies and employees

Generative AI offers companies the opportunity to automate repetitive tasks, increase job satisfaction and reduce costs. With the resulting profits, companies can support their employees in their development. At the same time, it is important that all employees, regardless of their background, are involved in AI strategies.

A diverse approach to AI implementation not only helps companies make technology more equitable, but also reinforces the perception that AI developments benefit everyone. This promotes both business goals and inclusivity.