Yet in many communities I have worked with across India, girls are still fighting for access to something far more basic: a stable internet connection, a digital device of their own, and the freedom to exist safely online.
The conversation around AI often assumes participation. Millions of girls have not even been allowed entry into the digital world shaping it.
As someone who has spent over ten years working at the intersection of gender equality, education and youth leadership, I have seen firsthand how digital inequality quietly determines who gets access to opportunity and who gets left behind.
In rural and underserved communities, technology is still viewed as an investment more “useful” for boys. Girls are expected to adapt around limited access, shared devices, domestic responsibilities and social restrictions that continue to shape their relationship with education and innovation.
Now, as artificial intelligence rapidly transforms economies and institutions, these inequalities are not disappearing. They are accelerating.
The world often presents AI as a neutral tool capable of democratizing opportunity. But technology is never truly neutral when the societies building it are unequal.
Artificial intelligence systems learn from existing data, structures and human behavior. When women and girls, particularly from the Global South, remain excluded from digital spaces, their realities become invisible within the systems increasingly shaping public life.
Who builds technology matters. Whose language is represented matters. Whose experiences are included in datasets matters.
Today, most AI systems continue to be dominated by English-language data and perspectives from wealthier regions of the world. Meanwhile, millions of young people across the Global South navigate digital ecosystems that do not fully recognize their cultural contexts, languages or lived experiences.
The result is not only technological exclusion, but a growing concentration of power in the hands of those already privileged enough to shape innovation.
This is especially dangerous for girls.
Across many communities, girls are encouraged to consume technology but rarely empowered to build it. They are taught digital skills as users, not innovators. Even when girls enter STEM spaces, they continue to face barriers ranging from online harassment and safety concerns to lack of mentorship, representation and institutional support. Too many young women still grow up believing technology is something created elsewhere, by someone else, for someone else.
At the same time, the future of work is increasingly tied to AI literacy, digital adaptability and technological fluency. If girls are excluded from these systems today, they risk being excluded from future economies altogether.
The AI divide is quickly becoming an economic divide, a leadership divide and ultimately a power divide.
What concerns me most is that conversations around inclusion often remain performative. Young people, particularly girls from the Global South, are frequently invited into global discussions as symbols of resilience and inspiration, while decisions around technology governance, investment and infrastructure continue to happen without them. Representation without structural access changes very little.
Real inclusion requires far more than symbolic participation. It requires investment in digital infrastructure, accessible internet, localized and multilingual AI systems, online safety protections, and meaningful pathways for girls to lead within STEM and technology spaces. It also requires governments, institutions and technology companies to stop treating gender equality as a side conversation rather than a foundational requirement for ethical innovation.
We cannot build an equitable technological future while half the world is still struggling to access the digital present.
Artificial intelligence will shape how societies learn, work, communicate and govern for decades to come. But if existing inequalities remain unaddressed, AI risks scaling the same exclusions the world claims it wants to solve.
The question is no longer whether AI will define the future. The question is who gets to shape that future and who remains digitally invisible within it.
