Technology is in advance to release women and give power. For example, consider a washing machine and a microwave oven. These are available when a home task falls on a woman, even if not all.
The appliances that save these time have changed how many housewives lived every day.
The rapidly evolving AI world is fast -forwarding in 2025, the current technology, and many of the discussions are focused on fighting Bias.
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This is expected to have a great positive result to women at work, but the journey to reach here was not a smooth sailing.
AI bias operation
In recent years, several famous AI tools have been widely reported as permanent bias.
According to Study of Stanford Law School Since 2024, chatbots such as Google AI Palm-2 and Openai's Chatgpt 4 have shown “important gaps beyond races and gender.”
For example, if a candidate is named Tamika, chatbots may advise you to pay $ 79,375 as a lawyer. However, if the candidate is named Todd, the proposed salary offer will increase to $ 82,485.
Regarding employment, advanced AI tools used to analyze CVS and candidates in a few seconds RobinA variety of and representative data that is better than cognitive bias is trained.
Therefore, the name of the person, the address of the home, the age, or the name of the educational institution is not analyzed, but the skills and experience have not been analyzed.
Similarly, like a talent management tool dash Work in the same way for internal mobility, and identify existing staff appropriate skills and promotion experience.
It is a hobby that it is not considered by advanced AI as well. Therefore, memberships of a specific golf or country club do not shake anymore if advanced AI tools are implemented in the recruitment process.
This is good news for women. According to the 2022 research from three US scholars Gap between “possibility” and gender promotionMen are often promoted to show their promises, but women are expected to achieve something important first.
If the AI tool is scanning for experience, a woman who achieves a strong result will simply raise the legs to other unrecognized male candidates who indicate promises.
Impact of automation
GEN AI has been very praised for the ability to take over boring tasks, and technically, employees have more time for up skills, strategic and planned work, networking, and mentorships. It means you need to be.
These are all areas specified by McKinsey to counter the broken lang. This hinder women's career advances in junior management, where leadership skills are usually polished.
However, many of the tasks that AI can undertake are sectors such as management support, retail, and customer service in all fields dominated by women.
This suggests that women are more vulnerable to work movement. Marcer's 2024 global talent trend surveyWomen an outline that women are more likely to suffer because they occupy most of the most predictable work that AI is destroyed.
The safety gap between men and women's work is more prominent in developed countries like the United States.
a Research by International Labor Organization (ILO) 7.9 % of high -income female workers have been found to have the risk of AI's work automation compared to 2.9 % of male workers. Nevertheless, in developing countries, male experts are even safer. Unemployment risk is 1.3 % for men, but 2.7 % for women.
However, if a woman has a leader, there may be clear advantages in the AI era.
World Economic Forum (WEF) Soft skills that cannot be duplicated, such as team leadership, strategic leadership, and collaboration, are emphasized in the coming years. And, as listed in Linkedin, I found that women have 28 % higher soft skills than men.
Furthermore, women are also working on their own technical skill. The ratio of women with AI skills and the concentration of women with AI engineering have been dramatically increasing since 2016, and the WEF states:
What we need on this occasion is an organization that actively supports gender equality by promoting women internally and hiring women in leadership. In addition, high -tech companies need continuous bias focus to guarantee that AI tools and products are free.
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