Fortune and Future in AI – PM’s Vision at India AI Impact Summit

Why in News:

At the India AI Impact Summit in New Delhi, Prime Minister Narendra Modi presented India’s approach to Artificial Intelligence (AI), emphasising:

• AI as a “Global Common Good”
• Open, inclusive and ethical AI
• Opposition to monopolistic and strategic control of AI
• Need for global governance standards

UPSC Relevance: GS-III: Science & Tech GS-II Security

India’s AI Philosophy – “MANAV” Vision

PM Modi introduced the MANAV framework, meaning human-centric AI.

 M – Moral and Ethical Systems

AI must be built on ethical guidelines.

 A – Accountable Governance

Transparent rules, oversight mechanisms.

 N – National Sovereignty

Data belongs to those who generate it (Data sovereignty).

 A – Accessible and Inclusive

AI should not become monopoly of few companies/countries.

 V – Valid and Legitimate

AI must be lawful, verifiable and compliant with regulations.

Core Commitments:

1. Evaluate AI in real-world contexts

• Assess AI impact on jobs, economy, skills.

2. Strengthen multilingual & contextual AI

• Improve cross-lingual AI support.
• Focus on under-represented languages (important for India & Global South).

3. Publish anonymised AI usage insights

• Support evidence-based policymaking.
• Understand AI diffusion across economy.

Multidimensional Impact of Artificial Intelligence

1. Economic Growth and Development

AI enhances productivity through automation, predictive analytics and intelligent manufacturing, thereby accelerating GDP growth and digital economy expansion. It also enables the emergence of new industries such as robotics, data analytics and autonomous systems. However, unequal access to AI capabilities may widen technological and income disparities across countries and firms.

2. Employment and Labour Markets

AI substitutes routine and repetitive tasks in manufacturing, clerical work and services, leading to structural labour displacement. At the same time, it generates new high-skill employment in AI engineering, data science and robotics. The core policy challenge lies in workforce reskilling, education reform and managing technological unemployment during the transition.

3. Governance and Public Service Delivery

Governments increasingly deploy AI for welfare targeting, tax compliance, smart cities, policing and disaster prediction, improving efficiency and evidence-based policymaking. However, risks of mass surveillance, exclusion due to algorithmic errors and opacity in automated decision-making raise concerns regarding accountability, transparency and citizens’ rights.

4. Ethical and Societal Implications

AI systems often reproduce biases embedded in training data, resulting in discrimination in hiring, lending or policing. Emerging threats such as deepfakes, misinformation and behavioural manipulation undermine trust, democratic discourse and human autonomy. Therefore, ethical AI principles such as fairness, transparency and human oversight are essential.

5. Security and Military Transformation

AI is transforming warfare through autonomous drones, cyber operations, intelligence analysis and surveillance systems. Lethal Autonomous Weapons Systems (LAWS) raise profound moral and legal questions regarding machine decision-making over life and death and may trigger a global AI arms race.

6. Data Governance and Privacy

AI relies on massive datasets, making data a strategic economic and political resource. Issues of data ownership, consent, facial recognition and surveillance threaten privacy and civil liberties. Robust data protection and accountable data governance frameworks are therefore critical.

7. Geopolitics and Global Power

AI capability is emerging as a determinant of economic competitiveness, technological sovereignty and geopolitical influence. The global AI race among major powers risks technological bifurcation and strategic dependence for developing countries lacking domestic capabilities.

8. Regulatory and Institutional Challenges

Balancing innovation with safety is the central regulatory dilemma in AI governance. Divergent global approaches — ranging from innovation-led to rights-based regulation — highlight the need for international cooperation, standards and ethical governance mechanisms.

India’s Position in the Global AI Landscape: Strengths and Challenges

1. Structural Strengths of India in AI

Large IT Workforce

India possesses one of the world’s largest pools of software engineers, data professionals and technology graduates, enabling rapid AI development, deployment and service provision.

Digital Public Infrastructure

India’s digital identity, payments and data platforms provide interoperable datasets and scalable architecture conducive to AI applications in governance, finance and public services.

Vibrant Startup Ecosystem

India hosts a rapidly expanding AI startup landscape across fintech, healthtech, agritech and SaaS sectors, fostering innovation and indigenous technological solutions.

Large and Diverse Data Pool

India’s vast population, linguistic diversity and expanding digital penetration generate extensive datasets essential for training AI systems, particularly in language technologies and public service applications.

Semiconductor Push

• AI models require: High-performance chips (GPUs, AI accelerators), Data processing hardware
• India is Promoting semiconductor manufacturing under national initiatives, Trying to reduce dependence on imports, Building chip design and fabrication capacity.

Quantum Computing

• Quantum computing:
  • Can solve highly complex problems faster than classical computers.
• Has applications in cryptography, climate modelling, drug discovery, AI optimisation.
• India is investing in quantum research to Stay ahead in next-gen computing and to avoid technological dependency.

Secure Data Centres

• AI runs on:
  • Massive datasets, Cloud storage, Continuous computation
• India is expanding:
  • Domestic data centres, Cloud infrastructure, Data localisation mechanisms

2. Challenges to AI Development in India

Low R&D Expenditure

India’s research spending remains around 0.6–0.7% of GDP, constraining frontier AI research, indigenous innovation and advanced model development.

Talent Gap in Advanced AI

Despite abundant IT talent, shortages persist in high-end AI research, semiconductor design, deep learning and core algorithmic innovation.

Computing Infrastructure Deficit

AI development requires high-performance computing, semiconductor capability and cloud infrastructure, areas where India remains import-dependent and capacity-constrained.

Data Quality and Accessibility Issues

Fragmented, unstructured and low-quality datasets limit reliable AI training and deployment across many governance and economic sectors.

3. Key Sectors Where AI Can Transform India

Agriculture

AI can enable precision farming, crop prediction, pest detection, climate advisory and market intelligence, improving productivity and farmer incomes.

Healthcare

AI-based diagnostics, telemedicine, disease surveillance and resource optimisation can strengthen public health delivery and address doctor shortages.

Education

Personalised learning systems, adaptive assessments and multilingual digital content can improve learning outcomes and educational access.

Governance

AI can enhance welfare targeting, fraud detection, smart city management and service delivery efficiency, improving state capacity.

Language Technology

AI-based translation and speech technologies can enable digital inclusion across India’s diverse linguistic landscape.

Climate and Disaster Management

AI can support flood forecasting, climate modelling, early warning systems and resource planning for climate adaptation.

Emerging Global Governance and Regulatory Challenges in AI

Artificial Intelligence has cross-border impacts on economies, security and societies, necessitating global governance responses.

Need for Global AI Governance

AI risks such as misinformation, autonomous weapons and economic disruption transcend national boundaries. However, there is no universal regulatory framework, creating demand for multilateral cooperation through platforms such as the Global Partnership on Artificial Intelligence.

Frontier AI Risks and Safety

Highly capable frontier AI systems introduce risks such as large-scale misinformation, cyber manipulation, biosecurity misuse and loss of human control over autonomous systems. The absence of global safety standards heightens systemic risks.

Concentration of AI Power

Advanced AI development requires massive data, compute and capital, concentrating power within a few corporations and countries. This raises concerns of monopolisation, opacity and technological dependence of developing nations.

Responsible and Ethical AI

Bias, privacy invasion, surveillance and lack of explainability create ethical risks in AI deployment. Responsible AI frameworks emphasise fairness, transparency, accountability and human oversight.

Global AI Inequality

AI capabilities are concentrated in technologically advanced countries, creating an “AI divide” where developing countries become technology consumers rather than producers. Bridging this gap requires capacity building and technology cooperation.

Open vs Closed AI Debate

A key policy debate concerns whether advanced AI models should be open-source or proprietary. Balancing innovation diffusion with safety control and accountability remains a major governance challenge.

Labour Market Disruption

AI-driven automation will reshape employment structures worldwide, requiring large-scale reskilling, education reform and social protection to ensure inclusive transition.

Conclusion

Artificial Intelligence is a transformative general-purpose technology with profound economic, social and strategic implications. India possesses significant structural advantages in AI adoption but must bridge gaps in research investment, advanced talent and computing infrastructure. At the global level, human-centric governance, ethical regulation and international cooperation are essential to ensure that AI advances inclusive, safe and sustainable devel

Practice Mains Questions

1. “Artificial Intelligence is a double-edged sword for developing countries.” Discuss.
2. How can Artificial Intelligence improve governance and public service delivery in India?
3. AI and employment: threat or opportunity? Examine.
4. What ethical and regulatory challenges are posed by Artificial Intelligence?
5. “Artificial Intelligence presents both opportunities and structural challenges for India.” Discuss.

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