Summary

Only 2% of women in Saidbhar had heard of Artificial Intelligence before the Survey Sakhi project. Yet when asked about training for future AI-related jobs, 35% expressed interest—revealing that awareness, not aspiration, is the barrier to women's participation in emerging tech fields.

Impact at a Glance

The Challenge

The digital divide extends beyond basic literacy to emerging technologies. 98% of women in Saidbhar had never heard of Artificial Intelligence, reflecting the massive awareness gap between urban and rural tech exposure. With 40% having no or minimal formal education, concerns about AI readiness seem insurmountable.

Our Approach

Survey Sakhi's data collection process itself became an awareness intervention. By asking about AI and explaining potential applications, the survey revealed hidden aspiration—35% wanted training when presented with the opportunity. This matches the 35% who want digital earning skills and better smartphone use, showing a progressive cohort ready to leap forward.

Implementation

During the Survey Sakhi data collection in Saidbhar, a specific section on AI awareness was included in the questionnaire. Data collectors first asked if women had heard of Artificial Intelligence, recording near-zero awareness (2%). Then, they provided simple explanations of AI applications in daily life—voice assistants, recommendation systems, translation tools—and future job opportunities. After this brief awareness intervention, they asked about interest in AI training for future employment. This experimental approach transformed the survey from passive data collection into active awareness building, revealing latent aspirations hidden by lack of information.

Results & Impact

The results were striking: only 2% of women had heard of AI initially, but 35% expressed interest in AI training after a simple explanation. This 2% to 35% shift demonstrates that aspiration exists—it's just invisible without awareness. Significantly, the 35% interested in AI training exactly matches the 35% who want digital earning skills and the 35% who want better smartphone usage training, suggesting a consistent cohort of forward-thinking women ready for advanced technology training. Despite 40% having minimal formal education, interest in AI wasn't limited to educated women—it cut across education levels, indicating universal hunger for future-ready skills.

Lessons Learned

Critical lessons emerged from this experiment: First, zero awareness doesn't mean zero interest—the 2% to 35% jump proves that exposure creates aspiration. Second, rural women aren't resistant to advanced technology; they're simply not exposed to it. Third, simple explanations matter—complex jargon creates barriers, but relatable examples (voice assistants, phone cameras) make AI tangible. Fourth, linking AI to livelihood opportunities (future jobs, earning potential) resonates strongly. Fifth, the 35% progressive cohort represents early adopters who could become AI champions in their community. Sixth, survey processes can be interventions—asking questions educates respondents and reveals hidden potential.

Looking Forward

Building on this discovery, DigiSam Foundation will develop an AI Awareness and Fundamentals Program for Saidbhar women. Phase 1 will focus on basic AI literacy: how AI works, everyday AI applications women already interact with (camera filters, voice assistants, translation), and future AI job opportunities. Phase 2 will introduce practical AI tools for livelihood—AI-powered language translation for e-commerce, AI photo editing for product marketing, and AI customer service chatbots. We'll target the 35% interested cohort in the first batch, using their success stories to inspire broader adoption. Goal: train 50 women in AI fundamentals within 12 months, preparing them for India's AI-driven economic future.