Listen to ArticlePress play to hear this storyListen to ArticleDownload audio

Updated March 12, 2026

The stark reality that Artificial Intelligence (AI) is predominantly designed by men has profound implications for its fairness, functionality, and societal impact. This critical gender imbalance in AI development is not merely a diversity issue but a fundamental challenge to creating truly equitable and robust AI systems. For nations like Pakistan and the UAE, which are rapidly investing in AI as a cornerstone of their digital economies, addressing this disparity is paramount to ensuring their technological future is inclusive and globally competitive. A concerted effort across education, policy, and industry is essential to foster greater female participation in AI, from foundational research to deployment.

  • Global Disparity: Women constitute only 22% of AI professionals globally, a figure mirrored in Pakistan and the UAE.
  • Bias Risk: Male-dominated AI development risks embedding gender and cultural biases into algorithms, affecting diverse user groups.
  • Economic Imperative: Increasing female participation could add an estimated $1.5 trillion to the global tech market by 2030, according to PwC.
  • Regional Initiatives: Pakistan's Ignite and UAE's AI Office are implementing targeted programmes to empower women in STEM and AI.
  • Holistic Approach: Solutions range from early STEM education to mentorship, policy incentives, and industry-led diversity mandates.

Why Does AI's Gender Imbalance Matter for Pakistan and the Gulf?

The issue of AI being nearly exclusively designed by men, as highlighted by a recent New Scientist report, is not new, but its ramifications are becoming increasingly critical as AI integrates into every facet of life. According to a 2023 World Economic Forum report, women comprise only 22% of the global AI workforce, a figure that has seen only marginal improvement in recent years. This pervasive imbalance means that the perspectives, experiences, and potential biases of a narrow demographic are disproportionately shaping the algorithms that govern everything from healthcare diagnostics and financial services to recruitment and criminal justice systems. For Pakistan, with its diverse population of over 230 million, and the UAE, a melting pot of global cultures, this lack of diversity in AI development poses significant risks of creating biased systems that could inadvertently disadvantage large segments of their populations. As PakishNews previously reported, the ethical implications of AI are a growing concern across the region. Read more on AI ethics at PakishNews.

As PakishNews previously reported, Startup Investments Surge to $23.86 Million in Mid-March 2026, Saudi Arabia….

Historically, the tech sector globally has struggled with gender diversity. In Pakistan, while women constitute roughly 48% of the university enrolment, their representation in engineering and computer science programmes, particularly at postgraduate levels, significantly drops. Data from the Higher Education Commission (HEC) for 2022-2023 indicates that only about 28% of computer science graduates are female, with this number further declining to less than 15% in advanced AI specialisations. Similarly, in the UAE, despite robust government initiatives promoting women in STEM, the active participation of women in core AI development roles remains below parity, often concentrated in user experience or project management rather than algorithmic design. This pipeline issue, coupled with societal and cultural barriers, exacerbates the problem, leading to AI solutions that may not fully understand or cater to the diverse needs of women, minorities, or different socio-economic groups within these dynamic societies.

What are the Current Challenges and Their Impact?

The primary challenge stems from a combination of educational, societal, and workplace factors. From an early age, gender stereotypes often steer girls away from STEM subjects. A 2024 study by the Pakistan Institute of Development Economics (PIDE) revealed that only 18% of high school girls expressed interest in pursuing computer science or engineering, compared to 45% of boys. This early divergence creates a shallow talent pool from which AI developers are drawn. Furthermore, existing workplace cultures in some tech companies, both regionally and globally, can be less inclusive, leading to higher attrition rates for women in technology. A recent survey by the UAE's Ministry of Artificial Intelligence, Digital Economy and Remote Work Applications indicated that 30% of women in tech reported experiencing gender bias in hiring or promotion processes.

The impact of this imbalance is profound. For instance, AI algorithms trained predominantly on male-centric data or designed by male teams may exhibit biases in critical applications. Facial recognition systems, often trained on datasets with a disproportionate number of male faces, have been shown to have higher error rates for women and individuals with darker skin tones, as highlighted by a 2019 NIST study. In healthcare, AI diagnostic tools developed without sufficient female representation in data or design teams could miss subtle symptoms unique to women, leading to misdiagnosis or delayed treatment. For Pakistan's burgeoning fintech sector, AI-powered credit scoring models, if not carefully designed with diverse inputs, could inadvertently discriminate against women entrepreneurs who may have different financial histories or collateral profiles. This isn't just an ethical concern; it's a commercial one. Research by Accenture in 2020 suggested that companies with higher gender diversity in AI teams reported 6% higher revenue from AI products and services.

Why does this matter? The lack of diverse perspectives in AI design can lead to 'blind spots' that compromise the effectiveness and fairness of the technology. As AI becomes more autonomous, these embedded biases can scale rapidly, perpetuating inequalities across society. For example, if an AI recruitment tool learns from historical hiring data that favoured men for certain roles, it may continue to deprioritise equally qualified female candidates, thus reinforcing existing gender disparities in the workforce. This is a critical concern for both Pakistan and the UAE, which are striving to build meritocratic, innovation-driven economies. A senior official from the UAE's AI Office, Ms. Aisha Al-Mansoori, recently stated in a keynote address at GITEX Global 2025, “Our vision for AI is one that serves all of humanity, not just a segment. To achieve this, we must ensure the architects of AI reflect the diversity of the world they are building for. It's an economic imperative as much as a social one.”

How Can We Fix AI's Gender Imbalance?

Addressing the gender imbalance in AI requires a multi-faceted and sustained approach, starting from foundational education and extending to industry practices and policy frameworks. One of the most crucial steps is to encourage girls to pursue STEM fields from an early age. The Ministry of Federal Education and Professional Training in Pakistan, in collaboration with UNICEF, has launched the 'STEM for Girls' initiative in over 500 public schools across Punjab and Sindh, aiming to introduce coding and robotics to primary school students by 2027. This initiative, which includes dedicated mentorship programmes featuring successful female tech professionals, has already seen a 10% increase in girls opting for science subjects in pilot schools, according to a preliminary report from September 2025.

Furthermore, higher education institutions must play a pivotal role. Universities like the National University of Sciences & Technology (NUST) and Lahore University of Management Sciences (LUMS) in Pakistan are actively reviewing their computer science curricula to be more inclusive and are offering scholarships specifically for female students pursuing AI and data science. Dr. Fatima Zahra, Head of AI Research at the NUST School of Electrical Engineering and Computer Science, told PakishNews, “We've seen a measurable impact from our targeted female scholarship programmes. Our AI Masters cohort for 2025-2026 has 35% female representation, up from 20% just three years ago. It demonstrates that with deliberate policy, the pipeline can be diversified.” Similarly, in the UAE, institutions like Khalifa University and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) are spearheading initiatives, with MBZUAI reporting over 40% female enrolment in its PhD and Masters programmes as of the 2025 academic year, a testament to its global outreach and focused efforts on diversity.

Beyond education, industry practices need significant reform. Companies must implement gender-neutral recruitment processes, unconscious bias training for hiring managers, and establish clear pathways for career progression for women in AI. The Pakistan Software Export Board (PSEB) has recently partnered with leading IT firms to launch the 'Women in Tech Mentorship Programme,' connecting over 1,000 aspiring female AI professionals with senior industry leaders. This programme, initiated in late 2025, aims to retain female talent and foster leadership roles. In a related development covered by PakishNews, the UAE's Artificial Intelligence, Digital Economy and Remote Work Applications Office has mandated that all government-funded AI projects must demonstrate gender diversity in their development teams, setting a benchmark for the private sector. “This isn't just about quotas; it's about building better AI,” asserted Mr. Omar Sultan Al Olama, UAE Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, during a press briefing in Dubai last month. “Diverse teams are proven to be more innovative, and that's precisely what we need for our AI future.”

Finally, policy incentives and robust mentorship networks are vital. Governments can offer tax breaks or grants to companies that achieve specific diversity targets in their AI divisions. Organisations like Women in AI Pakistan and Women in AI UAE are creating invaluable communities, offering networking opportunities, skill-building workshops, and mentorship. These grassroots efforts, combined with top-down policy directives, are crucial for creating an ecosystem where women feel supported, empowered, and see clear opportunities for growth in AI. For Pakistan's IT export growth, which reached an impressive $3.5 billion in fiscal year 2024-2025, according to the Ministry of IT and Telecom, leveraging the full potential of its female workforce in AI could unlock even greater economic dividends. This is a 20% increase from the previous fiscal year's figure of $2.9 billion, indicating a robust growth trajectory that could be further accelerated by inclusive AI development.

What Happens Next in Regional AI Development?

The journey to achieve gender parity in AI is long, but both Pakistan and the UAE are demonstrating a clear commitment to this critical goal. Over the next five years, stakeholders should watch for several key developments. Firstly, expect to see an increased focus on practical, hands-on AI training programmes specifically designed for women, potentially in collaboration with global tech giants like Google and Microsoft, who have already established significant presences in the region. Secondly, national AI strategies, such as Pakistan's National Artificial Intelligence Policy 2023 and the UAE's National AI Strategy 2031, are likely to incorporate more explicit targets and funding allocations for gender diversity initiatives within their frameworks. This will translate into more scholarships, incubators for female-led AI startups, and research grants.

Furthermore, the private sector will face growing pressure, both from government mandates and market demands, to adopt more inclusive hiring and retention practices. Companies that fail to diversify their AI teams may find themselves at a competitive disadvantage, producing biased products or missing out on innovative solutions. The emergence of more female role models in senior AI positions will also be crucial, inspiring younger generations and demonstrating tangible career paths. Ultimately, the success of these efforts will be measured not just by statistics, but by the quality, fairness, and universal applicability of the AI systems that emerge from these diverse and dynamic tech ecosystems. The goal is to ensure that AI, a technology with the power to reshape societies, truly reflects and serves all members of those societies.

Related: More Technology News | Women in Tech

Quick Answers (AI Overview)

  1. What happened in this story?
    The stark reality that Artificial Intelligence (AI) is predominantly designed by men has profound implications for its fairness, functionality, and societal impact. This critical gender imbalance in AI development is not
  2. Why does this matter right now?
    It matters because ai's gender gap: how pakistan and uae are bridging the divide can impact public discussion, policy, or regional stability depending on follow-up events.
  3. What should readers watch next?
    Watch for official statements, verified facts, and timeline updates from credible sources including New Scientist.

Frequently Asked Questions

❓ What is the current state of gender diversity in the global AI workforce?

Globally, women constitute approximately 22% of the Artificial Intelligence (AI) workforce, a figure that has remained largely stagnant despite increasing awareness of diversity issues. This imbalance is reflected across various regions, including Pakistan and the UAE, where efforts are underway to boost female representation in advanced technological fields, according to reports from the World Economic Forum.

❓ How does a lack of gender diversity in AI lead to biased algorithms?

A lack of gender diversity means AI algorithms are often developed by a homogenous group, leading to 'blind spots' and the unintentional embedding of biases into the systems. These biases can arise from training data that disproportionately represents one demographic or from developers' own unconscious biases, resulting in AI tools that perform poorly or unfairly for women and other underrepresented groups, as demonstrated by studies on facial recognition and healthcare AI.

❓ What specific initiatives are Pakistan and the UAE implementing to encourage women in AI?

Pakistan is focusing on early STEM education through initiatives like 'STEM for Girls' and university scholarships for female AI students, with NUST reporting a 35% female representation in its 2025-2026 AI Masters cohort. The UAE, through its AI Office, has mandated gender diversity in government-funded AI projects and boasts institutions like MBZUAI with over 40% female enrolment, alongside robust mentorship programmes aimed at creating a more inclusive AI ecosystem.