Not ‘delulu’ — an AI tutor for every child in India

The article advocates for a paradigm shift in governance strategy, moving from a provider of services to a facilitator or platform creator, often termed as 'GovTech 3.0'. By building the Digital Public Infrastructure (DPI) (like identity, payments, and data exchange protocols), the government can enable a competitive ecosystem without nationalizing the coaching industry. The proposed model involves an open network where the government aggregates demand, and multiple private providers offer content. This approach mirrors the success of UPI and ONDC, unbundling monopolies and driving marginal costs down. It highlights the role of the State in ensuring equity, setting standards, and providing independent accreditation, rather than directly producing educational content.

The reliance on private coaching for competitive exams like NEET and JEE creates severe inequities, as high-quality preparation is often expensive and inaccessible to marginalized students. A report indicates India's test-prep market is immense, yet it disproportionately serves urban and affluent demographics. Implementing a free, AI-driven public platform addresses this educational inequality by democratizing access to top-tier pedagogical resources. Crucially, the proposal suggests incorporating tools like DIKSHA, Aadhaar, and APAAR ID to integrate learning with formal academic records, while prioritizing equity through low-bandwidth solutions and distribution via Common Service Centres for those without personal devices.

The integration of AI into education is central to this proposal, focusing on its unique capability to provide adaptive personalization and scale doubt-solving. Unlike static content available on platforms like YouTube, AI models can offer personalized learning pathways, identifying a student's weaknesses and directing them to optimal resources across the network. The article touches upon the concept of Data Empowerment and Protection Architecture (DEPA), where the student, not the ed-tech firm, owns their learning data through a consent-gated mechanism like an Account Aggregator. The use of open-source models demonstrates how high-quality AI tutoring can be delivered at a fraction of the cost of human intervention, ensuring scalability and affordability.