Prosus, BCG and MeitY Launch ‘AI for All’ at India AI Impact Summit 2026

The white paper, based on a series of pre-summit multi-sectoral consultations with policymakers and key stakeholders, delivers a blueprint to power the next phase of jobs, productivity and inclusive growth, positioning India as a model for the Global South

• India is projected to contribute nearly 20% of incremental global GDP growth over the next 15 years
• ~16% of the world’s AI talent is of Indian origin, giving India an edge in the global AI capability talent

At a defining moment in India’s growth trajectory, Prosus, a global technology company, in partnership with knowledge partner BCG and the Ministry of Electronics and Information Technology (MeitY), Government of India, today launched the AI for All: Catalysing Jobs, Growth, and Opportunity white paper at the India AI Impact Summit 2026 in New Delhi. The initiative marks a strategic effort to shift the national AI narrative from a narrow focus on automation and displacement to one centred on productivity expansion, institutional strengthening, and equitable participation in the digital economy.

The report was formally released by Euro Beinat, Global Head of AI, Prosus; David Tudor, General Counsel, Prosus & Naspers Group; Rentala Chandrashekhar, Former Secretary, Government of India (IT & Telecom); and Sehraj Singh, Managing Director, Prosus India. They were joined by Dr. Ashok Gulati, Distinguished Professor at the Indian Council for Research on International Economic Relations (ICRIER); Tejpreet Singh Chopra, Chairman & MD, Bharat Light & Power Group; Manit Jain, Co-Founder of The Heritage School; Vikas Agnihotri, Former MD, Google India; Vipin V - MD & Partner, BCG; and Tirtha Chatterjee, Partner, BCG.

Developed through the multi-sectoral “Amrit Manthan” roundtables, the report identifies how AI can move beyond experimentation to become embedded within core workflows, governance systems, and decision-making architectures. It outlines practical pathways through which AI can enhance productivity, expand inclusion, and catalyse new employment opportunities aligned with India’s Viksit Bharat 2047 ambition. Anchored in India’s structural strengths - a robust digital public infrastructure stack, approximately 16% of the world’s AI talent, and strong entrepreneurial momentum, the white paper lays out an execution-oriented blueprint for deploying AI at scale across five foundational sectors: Agriculture, Education, Healthcare, Manufacturing, and Financial Services. Analysing India’s Digital Public Infrastructure, including Jan Dhan, Aadhaar, UPI, Account Aggregator and ONDC, the white paper illustrates how AI can be institutionalised responsibly and scaled across emerging economies, positioning India as a model for the Global South.

With India projected to contribute nearly 20% of incremental global GDP growth over the next 15 years, the white paper underscores a central thesis: the next phase of growth will not be defined by access to AI, but by disciplined execution and large-scale institutional adoption.

Abhishek Singh, Additional Secretary, MeitY & CEO, IndiaAI Mission, shared his thoughts on the occasion of the launch, “India has built strong digital public infrastructure and nurtured one of the world’s largest pools of AI talent. The next phase of our journey is about translating these strengths into institutional capacity and measurable outcomes. The ‘AI for All’ white paper contributes meaningfully to this effort by outlining practical pathways to embed AI across priority sectors such as agriculture, education, healthcare, manufacturing and financial services. As India advances its vision of Viksit Bharat 2047, responsible and inclusive deployment of AI will be central to driving productivity, expanding opportunity, and strengthening India’s position as a global digital leader.”

Mr. Rentala Chandrashekhar, Chief Mentor, AI for All Project, Chairman, Centre for the Digital Future, and Former Secretary, Government of India (IT & Telecom), observed, “India has the foundational rails - digital public infrastructure, entrepreneurial depth, and policy momentum. The challenge now is disciplined execution. AI must be institutionalised within agriculture markets, classrooms, clinics, factories, and financial systems. If deployed responsibly, AI can catalyse net employment while strengthening trust, governance, and long-term productivity.”

Sehraj Singh, Managing Director, Prosus India, added, “India’s next phase of growth will not be defined by access to AI, but by execution at scale. Through the ‘AI for All’ initiative, we have worked alongside policymakers, industry leaders, and academics to identify high-impact, practical pathways for deployment. We believe India has the potential to not only be an AI innovator, but a global model for large-scale, human-centric AI adoption across the Global South.”

Vipin V, MD & Partner, BCG, added, “The defining challenge of the next phase is institutionalisation. AI must be treated as a strategic capability explicitly linked to outcomes, economics, and long-term system performance. This requires prioritisation, impact measurement, and a willingness to redesign value chains, incentives, and governance models, rather than merely introducing AI as a new tool. Organisations that take this integrated approach will see compounding returns over time.”

Key findings from the report:

• Healthcare: India has improved life expectancy to 72 years and enabled more than 400 million digital consultations through eSanjeevani. The doctor-to-population ratio remains approximately 1:811, and out-of-pocket health expenditure remains about 40% of total health expenditure. AI-enabled diagnostics, triage, and predictive analytics can amplify clinical capacity and improve system-level intelligence. For example, AI-assisted TB triage using cough audio and symptoms can assign patients to low-, medium-, and high-risk swim lanes at first contact, routing each to the appropriate care pathway. This frees clinician time for high-risk cases and decongests primary facilities.
• Agriculture: India produces over 332 million tonnes of food grains annually, and agriculture employs approximately 46% of the national workforce. 86% of farmers cultivate less than two hectares, and post-harvest losses remain at 15–20%, equivalent to over USD 18 billion annually. AI-driven crop planning, precision input optimisation, and AI-enabled commodity grading can improve the utilisation of agri-resources, farmer income, and sustainability outcomes.
• Education: India operates the world’s largest schooling system with 14 lakh schools and 24 crore students. However, foundational learning gaps persist: teaching methodologies remain focused on subject mastery rather than competency-based learning, and instruction is not sufficiently tailored to individual student needs. Compounding this, a significant portion of valuable teacher time is consumed by administrative tasks rather than direct instruction. AI can address these challenges by enabling personalised learning pathways for students while unlocking teacher productivity to focus on mentorship and guided reasoning.
• Manufacturing: Manufacturing contributes 16–17% of GDP and employs over 110 million people. MSMEs account for nearly 45% of exports. Despite sustained growth in India's manufacturing output, MSMEs continue to face weak productivity, inconsistent quality, and limited integration into organised value chains. AI enabled predictive maintenance, automation, and inspection can improve productivity and quality consistency leading to improved competitiveness.
• Financial Services: India’s digital financial infrastructure is a global exemplar. India accounts for more than half of all global digital transactions and is the third-largest fintech ecosystem globally. Despite this progress, there is significant headroom for improving credit access, especially to smaller ticket-size borrowers and MSMEs, where traditional underwriting models remain a barrier. AI agents across the value chain, from RM co-pilots to underwriting and collections can improve productivity and unlock new customer segments and low-cost operating models. However, to maximize impact from AI, and move from potential to performance, Financial Institutions need to define clear AI strategy, focus on “Big rocks” rather than point solutions and build horizontal AI capabilities that can be leveraged across the value chain.
• AI as a Net Employment Generator: Across sectors, the report identifies emerging roles in AI supervision, data operations, advisory services, diagnostics, compliance, and digital enablement, reframing AI from displacement risk to productivity and employment catalyst.

The Amrit Manthan Initiative

As a partner to MeitY for the India AI Impact Summit 2026, Prosus led a series of pre-summit events titled “AI for All: Catalysing Jobs, Growth, and Opportunity” to explore how Artificial Intelligence can become a powerful engine for employment generation, inclusive economic growth, and social transformation across India.

Under the initiative, five high-level roundtables were convened in partnership with MeitY, bringing together senior government officials, industry leaders, startup founders, and academics to identify new job opportunities, skill pathways, and policy recommendations across India’s core economic sectors. The thematic series collectively titled “Amrit Manthan” included:

• Amrit Arogya: AI for Health, Healing and New Horizons in Care
• Amrit Krishi: AI for Abundant Harvests and Farmer Prosperity
• Amrit Vidya: AI for Lifelong Learning and Empowering Individual Careers
• Amrit Udyog: AI for Smart Industries and Future-Ready Workforce
• Amrit Niti: AI for Inclusive Finance and Empowered Governance

Each roundtable produced actionable insights that have now culminated in the comprehensive “AI for All: Catalysing Jobs, Growth, and Opportunity” white paper launched at the India AI Impact Summit 2026. You can read the full report at the link above, or take a look at the Executive Summary and Foreword from Sehraj Singh, Managing Director, Prosus India.

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