What’s actually slowing this PC down?
Pick the symptom - the matching free tool is one click away.
Pakistan has announced efforts to make AI more inclusive, but the available figures do not tell us how many women in the country build AI systems. The Ministry of IT and Telecom’s reported figures cover the broader IT workforce and Software Technology Parks—not AI-specific jobs. That distinction matters: it is possible to describe the initiatives and the data gap, but not to claim that the IT figures represent women in AI.
What do we know about women working in Pakistan’s technology sector?
In an 8 March 2025 release, Pakistan’s Ministry of IT and Telecom said women made up 29% of the country’s IT workforce and 20% of professionals in Software Technology Parks. The ministry did not state the figures’ measurement period or methodology. They are useful indicators of women’s presence in IT, but they do not show how many women work in AI research, machine learning, data science, AI engineering, or other AI-specific roles.
As an Amazon Associate I earn from qualifying purchases.
The same release said that 30% of startups incubated by National Incubation Centers “last year” were women-led. Because “last year” refers to the ministry’s March 2025 statement, the period is not specified more precisely here. The ministry also described a requirement that at least 25% of founders be women. Those are ministry-reported claims, not independently assessed outcome measures; neither establishes women’s representation in AI jobs.
Why can’t global or regional figures fill Pakistan’s AI data gap?
UNESCO’s Women for Ethical AI outlook describes gender gaps in AI research, software development, data-science platforms, and leadership. UNESCO also cautions that definitions and geographic coverage shape measured representation. Its topic page gives a global estimate that women are 22% of AI professionals, attributing the figure to the UNESCO Science Report without stating the underlying report year. It is global context, not an estimate for Pakistan.
UNESCO’s 2026 South Asia Outlook Study is not a substitute for country-level evidence: it covers Bangladesh, Bhutan, India, Maldives, Nepal, and Sri Lanka, but not Pakistan. Its regional analysis draws on education and labour-force statistics, bibliometric analysis, LinkedIn Economic Graph data, and interviews. Findings from those six countries should not be presented as findings about women in Pakistan.
The distinction is more than a statistical technicality. A countrywide IT workforce share cannot reveal the share of women in AI-specific occupations, who advances into senior roles, or whether women leave those jobs at different rates. Nor can a regional study that excludes Pakistan answer those questions for Pakistan.
What efforts are intended to make AI more inclusive?
The documented initiatives span digital inclusion, AI training, entrepreneurship, and policy. They differ in whom they aim to reach and what they offer; the cited material does not provide comparable outcome measures showing their effects on women’s access to AI work or leadership.
Quick wins for a faster PC:
Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →| Initiative or measure | Stated focus | What the available account establishes |
|---|---|---|
| Digital Gender Inclusion Strategy | Digital gender inclusion | UNESCO reports that the Ministry of IT and Telecom launched the strategy at the Digital Nation Summit in August 2024, following work with the Pakistan Telecommunication Authority. The cited account does not quantify resulting changes in access or employment. |
| National Incubation Centers | Startup incubation and women founders | The ministry’s March 2025 release reported that 30% of startups incubated “last year” were women-led and described a requirement for at least 25% women among founders. It does not establish the effect of that requirement on women’s participation in AI. |
| Gender-Responsive AI School Pakistan | AI knowledge, responsible practice, and public-sector and cross-sector capacity | MoITT, UN Women Pakistan, and KOICA launched the school in July 2026. Its stated pathways include AI foundations, gender-responsive and ethical AI, governance, prompt engineering, AI agents, and public administration. The launch documents a program and curriculum, not its long-term reach or outcomes. |
| Pakistan’s draft national AI policy, as described in 2025 | AI ecosystem, readiness, security, transformation, and international cooperation | UNESCO said the draft had five strategic pillars. A May 2025 policy dialogue focused on the Secure AI Ecosystem pillar and called for transparency, inclusion, rights protections, coordination, and institutional capacity. That account describes the draft and dialogue at the time; it does not establish the policy’s status after 2025. |
The AI School is a concrete institutional step, but a training pathway is not itself evidence of lasting change. The launch announcement also described a regional UN Women initiative that had trained more than 5,000 policymakers, UN personnel, civil-society leaders, and young innovators since 2024. That figure refers to the regional initiative, not to the newly launched Pakistan school alone.
What would show whether women are building AI in Pakistan?
A clearer answer requires Pakistan-specific evidence that distinguishes AI work from the broader technology sector and shows more than a single headline share. Useful reporting and public statistics would identify:
- Who is counted: the definition of an AI role, the employers or sectors included, and the period covered.
- Which jobs women hold: representation across AI research, software and model development, data science, governance, and other relevant occupations—not only a combined technology total.
- Where careers progress or stall: seniority, leadership, retention, pay, and transitions from education or training into AI employment.
- What initiatives change: participation and completion in training, subsequent employment, workplace retention, founder access to support, and influence over policy or product decisions.
These measures connect to different stages of working life. A 2022 UNESCO, Inter-American Development Bank, and OECD analysis frames AI’s effects on women through changing job requirements, hiring, career progression, and workplace upskilling. That framework can guide questions about Pakistan, but it is not evidence of Pakistan-specific outcomes.
Rank #4
- Presents guiding principles and action steps that address both the issues and the opportunities that come with artificial intelligence
- Learn how to cultivate a schoolwide understanding of AI,
- Implement student-centered practices that support academic integrity
- Ensure that effective teaching and learning remain the school’s top priority
What is the most accurate answer today?
Pakistan’s government has reported women’s participation in the broader IT workforce and announced initiatives that include a gender-responsive AI school. UNESCO’s global analysis documents gender gaps in AI, but its global estimate is not a Pakistan statistic; its 2026 South Asia study excludes Pakistan. The reviewed Pakistan-specific material does not establish the number or share of women in the country’s AI workforce, their representation by technical role or seniority, or their pay and retention patterns.
So the honest answer to “Where are the women building it?” is that the cited public evidence does not yet locate or count them with enough specificity. That is a limit of what these figures and announcements establish—not proof that women are absent from Pakistan’s AI work. Measuring participation by role, career stage, and outcome would make both the workforce and the effect of inclusion programs more visible.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
