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Breaking barriers: Women and the implications of generative AI in the workplace

by Changeincontent Bureau
Illustration of a woman engaging with generative AI technologies in a modern workplace setting.

Generative Artificial Intelligence (AI) has become a transformative force across various industries, reshaping how businesses operate, innovate, and connect with their audiences. However, amidst this technological revolution, it’s essential to examine the role of women in leveraging generative AI technologies within the workplace. Are women equally represented in utilising the possibilities of AI, or are there disparities that need to be addressed? This article on Generative AI and Women in the Workplace explores the same.

Data shows that female employees are behind their male colleagues in using technology. Generative AI is evolving into a distinct industry. Yet women are not for adopting it equally. Findings from a study conducted by the Oliver Wyman Forum, which surveyed 25,000 employed individuals, reveal that globally, 59% of male workers aged 18-65 report using generative AI tools at least once a week. In contrast, only 51% of women report the same. These discrepancies persist across various age demographics and the 16 geographical regions examined.

Let’s explore this topic in-depth, analysing existing data points and trends.

Current landscape

Representation in STEM

Women have historically been underrepresented in the fields of science, technology, engineering, and mathematics (STEM). While significant progress has been made in recent years to bridge this gap, disparities persist, particularly in AI-related disciplines such as machine learning, data science, and computer science.

Workplace dynamics

The gender gap in STEM fields often extends to the workplace. Men have traditionally dominated technical roles and leadership positions. However, companies possess the ability to reverse this trend. Through initiatives such as enhanced upskilling programs, fostering a shared vision with employees and engaging leaders from various business units, organisations can effectively encourage more women to embrace generative AI technologies.

Technology-driven departments: A crucial factor

Inclusivity within IT and other technology-oriented departments is critical for driving AI initiatives forward. While female representation in IT is often low, broadening the base of decision-makers and increasing women’s participation in tech roles are essential steps.

Companies can achieve this through initiatives focused on retention and advancement, such as addressing pay equity, improving access to healthcare, and implementing family leave policies. Moreover, tapping into the expertise and enthusiasm of Generation Z, who are often more familiar with AI technologies, can facilitate knowledge-sharing and peer mentorship initiatives, bridging the gap between generations and genders in AI adoption.

Pink collar jobs

The same data shows a pronounced gap among the youngest agewise segment of the workforce. 71% of men aged 18-24 report using generative AI tools weekly, while only 59% of women in the same age group do so. If left unaddressed, this disparity could exacerbate gender imbalances in traditionally “pink collar” occupations, including customer service, education, and healthcare, which are particularly susceptible to automation. Moreover, it could restrict women’s access to emerging opportunities in the future job market.

The positive news

In sectors such as marketing, advertising, and entertainment, generative AI tools are revolutionising content creation and audience engagement. Women in these fields are increasingly embracing AI-driven solutions to streamline workflows, analyse consumer behaviour, and deliver targeted campaigns with unprecedented speed and efficiency.

While men dominate technical roles, women are making significant strides in AI research, development, and implementation. Initiatives such as Women in Machine Learning (WiML) and AI research labs led by women are creating a supportive ecosystem for female AI practitioners, encouraging skill development and collaboration.

Generative AI and women in the workplace: How to address disparities

Advocacy and mentorship

Encouraging women to pursue careers in AI and providing mentorship opportunities are critical steps in narrowing the gender gap. Initiatives aimed at empowering women in STEM, such as mentorship programs, networking events, and educational outreach efforts, play a vital role in nurturing talent and fostering diversity within the AI workforce.

Inclusive policies

Organisations must prioritise diversity and inclusion in their hiring practices and workplace culture. Addressing unconscious bias in recruitment, promotion, and project allocation processes can create opportunities for women to excel in AI-related roles and contribute their unique perspectives to innovation and decision-making.

Participation in industry events & conferences

AI Index report indicates a gradual increase in the percentage of women professionals at leading AI conferences. While women remain underrepresented in such trade events, efforts to promote diversity and inclusivity are beginning to yield positive results, signalling progress towards a more balanced representation in the field.

Leadership roles

Research by McKinsey & Company and LeanIn.Org highlights the importance of gender diversity in leadership positions. It shows that companies with diverse leadership teams are more likely to outperform their peers. Women in leadership roles can play a crucial role in driving the adoption and ethical implementation of AI technologies, championing inclusivity and responsible AI practices.

The final thoughts

Generative AI offers unprecedented opportunities for innovation and growth in the workplace, but realising its full potential requires a concerted effort to address gender disparities and promote diversity and inclusion. More women need to play a pivotal role in leveraging AI technologies to drive change and shape the future of work across industries. By fostering an inclusive environment, providing support and opportunities for skill development, and advocating for diversity at all levels, organisations can harness the collective talent and expertise of women in AI to create a more equitable and sustainable future.

Disclaimer: The views expressed in this article are based on the writer’s insights, supported by data and resources available both online and offline, as applicable. Changeincontent.com is committed to promoting inclusivity across all forms of content, which we define broadly to include media, policies, law, and history—encompassing all elements that influence the lives of women and gender-queer individuals. Our goal is to promote understanding and advocate for comprehensive inclusivity.

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