A recent report from the online learning platform Coursera shows that while the Philippines leads Southeast Asia (SEA) in the share of women enrolling in Generative AI (GenAI) courses, a significant gender gap persists. Women make up only 38% of GenAI enrollments in the country, despite comprising 51% of all learners on the platform.
The data is part of Coursera’s “Closing the Gender Gap in GenAI Skills” playbook, which aims to address the gender gap in AI-related learning. The playbook outlines strategies to empower more women to learn GenAI skills, emphasizing the need for a more inclusive and balanced AI landscape.
“While the Philippines has demonstrated an exceptional appetite to understand and harness GenAI technology, it is crucial for the country’s workforce development and international competitiveness that this appetite is shared equally,” said Karine Allouche, global head of enterprise at Coursera.
Despite the gender disparity, the Philippines remains one of the top 10 countries globally for female participation in GenAI courses. In 2024, the country recorded the highest growth in GenAI enrollments in SEA. Women’s enrollments increased by 818%, surpassing the 765% growth among men.
Factors to the gender gap
The report highlights key factors contributing to the gap, including confidence issues, limited time for learning, and a perceived lack of relevance. Women are six times more likely to choose beginner-level courses compared to intermediate ones, indicating a preference for structured, accessible entry points. However, Filipino women are breaking this trend, with data showing that the most popular GenAI courses are the same for both men and women.
Another challenge is balancing caregiving responsibilities and work, which limits time for skill development. A report from Boston Consulting Group (BCG) shows that only half of Filipino women are exposed to technology before university, emphasizing the need for early STEM (Science, Technology, Engineering, and Mathematics) education.
Lack of female role models
There is also a need to show the practical applications of GenAI. Women tend to engage more when AI is linked to fields like healthcare, education, and creative industries. Also, the lack of female role models in AI remains a barrier. Courses featuring at least one female instructor see 7% higher female enrollment, highlighting the importance of increasing the visibility of women in AI education and leadership.
“As the global race toward AI literacy intensifies, expanding opportunities for women in GenAI, equipping them with these critical skills, and empowering them to lead in the digital economy remains an urgent priority. By empowering more women, we can ensure AI is built by diverse voices, for the world,” Allouche said.