India’s linguistic diversity, embodied in the Bharatiya Bhasha Pariwar, represents a unique civilizational strength that contributes significantly to cultural continuity and national integration. With rapid digitalization and globalization, many Indian languages face challenges such as reduced usage, limited digital representation, and intergenerational disconnect. In this context, Artificial Intelligence (AI) has emerged as a transformative tool capable of revitalizing, preserving, and promoting Bharatiya languages while fostering unity in diversity. This paper examines the role of AI-driven language technologies—including Natural Language Processing (NLP), machine translation, speech recognition, and text-to-speech systems—in enhancing accessibility, inclusivity, and cross-linguistic communication across India. AI-enabled multilingual platforms facilitate real-time translation and voice-based interaction, thereby reducing linguistic barriers in education, governance, healthcare, and digital services. The study highlights the alignment of AI-based language promotion with the vision of the National Education Policy (NEP) 2020, which emphasizes mother-tongue-based education and multilingual learning, as well as with the Indian Knowledge System (IKS), which seeks to preserve and disseminate indigenous knowledge traditions. Furthermore, AI-supported digitization and interpretation of classical and regional texts contribute to the democratization of knowledge and cultural heritage. By enabling citizens to access information and participate in national life in their own languages, AI strengthens emotional integration, social inclusion, and participatory governance. The paper also discusses key challenges such as data scarcity for low-resource languages, ethical concerns, and the digital divide. It concludes that a culturally sensitive and ethically grounded deployment of AI can significantly contribute to the promotion of Bharatiya Bhasha Pariwar and reinforce national integration in the digital era.
Dsouza et al. (2026) studied this question.