The prospects are not extremely optimistic for women in the workplace. Both in the technological sector itself, and also in the industries that adopt artificial intelligence (AI), there is an imbalance between the sexes which is more likely to lose its job as a result of AI.
According to global employment estimates of the International Labor Organization (ILO), Office work is the most at risk of generative AIWith 24% of office tasks classified as highly exposed and an additional 58% as exposed means. This means that women are more exposed to the automated effects of General AI, as they are overrepresented in office work in the world.
When the interface analyzed data on Nearly 1.6 million AI professionals in the world, he has found striking sex imbalances, reflected in the wider technology sector. Women represent only 22% of AI talents worldwideAnd less than 14% of higher management roles in AI. Alex Rumble, CMO at Htec, notes:
Only 22% of AI professionals being women, this number is aggravated by two additional factors: there are fewer women than men in management posts, which means that we build technology without enough female contribution and in doing so, repeating the very bias that affects them.
Although there is pioneer women in AIWho have a significant impact on its development, female voices are underrepresented. Part of this depends on the fact that industry is very dominated by men, women still representing only about 25% of technological jobs.
To counter this under-representation, Chelsea Hopkins, responsible for social media and public relations at Fasthosts, argues that it is important to present the voices of women already successful in STEM, to ensure that the founding women of AI technology are recognized and credited. She adds:
Despite the gender disparity in AI, women have already been crucial in the development of the AI era. However, when the Internet scan in real time for data, women ‘voices are not so easily flat, because they are marginalized in conversations in the STEM sphere because of the sub-statement on the labor market.
Stereotypes
While the AI systems draw the data from large sets of data with historical biases, this could amplify the pre -existing disparity between women and the voices of men. While AI systems perpetuate stereotypes and gender biases, this could work to further marginalize women in technology. Hopkins says:
This requires greater gender representation in STEMs as a sector, but in AI models too. It is important to maintain AI managed by humans, with a continuous audit and surveillance of AI systems.
The lack of representation of women in AI could be a reason for the gap between the sexes in the use of technology. The survey on digital consumer trends in 2025 Deloitte UK reported that 28% of women used the AI generationCompared to 43% of men. Women are also less interested in trying different aspects of the AI generation: than conversation with a travel chatbot, reception of help to buy products or obtaining a personalized fitness plan, more men wanted to undergo the task compared to women, with a difference ranging up to 14%.
Another challenge to overcome is an inherent distrust of AI systems in women. Only 18% of women who experiment or use the AI generation had a high or very high confidence that providers of the capabilities of GEN AI that they use would keep their data in safety. This compared to 31% of male adopters, revealed the Deloitte study.
The gap between the sexes in attitudes with regard to confidence and the experimentation of AI tools must be overcome to ensure that women are not excluded from the future labor. The World Economic Forum (WEF) ‘2025 job future report“Stress how essential it will be for workers to acquire IA skills – or risk losing their jobs.
Workforce reductions
According to the report, 77% of employers foresee from Reskill and strengthen existing staff to work better alongside AI, while 69% intend to hire new people with skills to design AI tools and improvements, and 62% will face new workers to better work alongside AI. But 41% of these same employers also plan to reduce the workforce where AI can reproduce people's work.
To protect their careers, women must move away from a point of view of resistance to AI and rather focus on mastery of technology; The search for which AI tools earns the most field in their specific industrial sector is a good starting point. In the legal sector, for example, out -of -competition candidates are those who understand how AI can help work flows and manual tasks, according to Sophie Best, principal consultant, Legal Tech at Jameson Legal. She explains:
In general, platforms like Chatgpt, Claude, Microsoft Copilot and concept AI are those that I and others that I know strongly to rationalize research, writing and internal workflows. Gain control of these tools and understand how they integrate into the real world systems changes the situation. I have worked with many customers who should now understand AI not only for efficiency, but to mitigate risks and protect reputation.
According to Rumble, to advance their career in the AI era, women must be curious, drive their own re-skilling and stop avoiding AI or treat it as optional. She explains:
Given that the demand for specific skills of AI is an increase in qualification and warming initiatives should focus on the creation of fundamental digital skills and skills bundles that combine technical know-how with critical cognitive and socio-emotional skills, rather than promoting the technical skills of IA in isoly. By acquiring digital literacy and technical skills, women can not only guarantee positions in the technology industry, but also influence the design of AI systems.
Future careers
Expanding the definition of what it means working in technology will help women forge future careers. Coding and engineering roles are an element in the industry, but companies that develop AI -based tools also need product managers, ethics advisers, customer strategy prospects, marketing specialists and operational roles. Ritu Dubey, market development manager at Digitate, note:
By increasing awareness of these various opportunities, women can find entry points that align with their skills while contributing significantly to the evolution of AI. The use of AI tools in everyday tasks can help here, create an understanding and improve efficiency. It is not everyone who must become AI developers, but rather to adopt AI technologies to rationalize work and unlock their full potential.
While women increase their IA skills, they must also ensure that they are heard for their success in the sector. Hopkins notes:
Women must actively defend themselves in the AI era and to pleasant their voice as much as possible in places where large -language models scan and recover their resources, such as news publications, Wikipedia and Reddit. When women contribute to conversation, they are much more likely to fill this gender bias gap and be a platform by AI tools.
Women currently constituting such a small part of the AI labor, this highlights the urgent need for greater female participation. Like the best notes:
Women who look here will not only be the test of roles, they will position themselves as a confidence advisers at the intersection of technology, governance and business.
My point of view
It is not only surprising that so few women work in IA roles, because it reflects the imbalance between the sexes of the technological sector. What is more surprising and worrying is the gap between men and women when it comes to using Gen AI tools, because they do not require any technical skills to use them. In a follow -up, I will explore the AI tools that women should try to stay in advance in the AI era.