Quote by Dr. Gayathri Vasudevan, Founder and Chairperson, Sambhav Foundation
“Technology is often spoken about in the language of scale, disruption, and speed. We hear about AI transforming industries, digital public infrastructure reshaping governance, and automation redefining the future of work. India’s technology economy is projected to contribute hundreds of billions of dollars to the country’s GDP over the next decade. But behind these projections lies an important question: who is being prepared to participate in this future, and who risks being excluded from it?
In many underserved communities, the digital divide begins long before employment. It begins in classrooms where computer access is limited, in homes where phones are shared or controlled, and in environments where confidence with technology is never actively built.
This is why conversations around responsible innovation cannot remain limited to advanced systems and infrastructure alone. They must also include adoption, access, familiarity, confidence, and participation.
At Sambhav Foundation, we see this intersection closely through our work across education, skilling, and employability initiatives. In our digital literacy programmes with middle-school students, particularly girls, we have seen how early exposure to technology can influence not only digital capability but also aspiration itself. The shift is subtle at first. A student who initially hesitates to use a keyboard slowly begins navigating software independently, asking questions, and imagining possibilities beyond inherited social roles.
Similarly, our “learn-and-earn” manufacturing programmes for women demonstrate that access to technical education is often tied to economic realities. When training models acknowledge this reality instead of ignoring it, participation changes dramatically.
We are also seeing this in AI-linked skilling initiatives delivered through colleges and community training centres. If AI is to become a genuine equaliser, it must be accessible and grounded in local realities. Low-bandwidth learning systems, voice-enabled tools, and community-based digital learning models may ultimately have more transformative impact in rural India than high-end technologies designed only for already-connected populations.
Responsible innovation, therefore, requires more than technological advancement. It requires intentional design. It requires systems that recognise linguistic diversity, uneven infrastructure, gendered access barriers, and the realities of low-resource environments. It also requires implementation models rooted in community trust rather than technology deployment alone.”