[Answered] How does weaponized technological interdependence impact sovereign strategic autonomy of India? Analyze the policy choices available for a country like India to achieve digital resilience.

Introduction

With India’s digital economy projected to contribute nearly 20% of GDP by 2030 and Budget 2026-27 reinforcing semiconductor and AI investments, technological sovereignty has become a strategic imperative amid rising geopolitical weaponization of technology.

Weaponized Technological Interdependence

1. Chokepoint Vulnerabilities: Dependence on foreign AI models, cloud services, and semiconductor ecosystems creates risks of sudden denial of access. The Anthropic model restrictions illustrate how commercial access can be overridden by national-security considerations. Example: AI blackout risk.
2. Strategic and Geopolitical: Technology is increasingly becoming a tool of statecraft alongside sanctions and military power. Export controls on advanced chips and AI hardware demonstrate the rise of techno-nationalism. Example: US-China chip war.
3. Economic: Digital disruptions can affect fintech, IT services, manufacturing automation, and e-governance. Economic Survey 2025-26 notes that innovation-led growth requires stronger technological capabilities and reduced external vulnerabilities. Example: Supply-chain shocks.
4. National Security: Critical sectors such as defence, cyber-security, power grids, and telecom depend on digital infrastructure. External control over strategic technologies may compromise operational continuity. Example: Critical infrastructure risk.
5. Data Sovereignty and Legal: Article 21’s evolving jurisprudence recognizes privacy as a fundamental right. Dependence on foreign-controlled platforms raises concerns regarding jurisdiction, surveillance, and data governance. Example: Cross-border data control.
6. Diplomatic: Even trusted partnerships may not guarantee uninterrupted access to frontier technologies. Strategic autonomy requires diversification beyond any single technology bloc. Example: Multi-alignment diplomacy.

Why Complete Technological Self-Reliance Is Not Feasible

1. The AI ecosystem spans: semiconductor fabrication, compute infrastructure, foundational models, data ecosystems and application layers.
2. No country, including India, can efficiently dominate every layer. Excessive techno-protectionism may increase costs and reduce competitiveness. Example: Innovation slowdown.

Policy Choices for Achieving Digital Resilience

1. Build Sovereign Digital Infrastructure: Accelerate sovereign cloud initiatives and indigenous data centres. Ensure sensitive government and defence workloads remain under Indian control. Example: Sovereign cloud architecture.
2. Strengthen Frontier Technology Capabilities: Scale up the IndiaAI Mission, semiconductor mission, and National Quantum Mission. Focus on strategic sectors rather than attempting universal self-sufficiency. Example: Defence AI systems.
3. Promote Open-Source Ecosystems: Reduce dependence on proprietary foreign platforms. Encourage indigenous adaptation of open-source AI models. Example: Open-source LLMs.
4. Increase Domestic R&D Investments: India’s GERD remains around 0.6-0.7% of GDP, far below major innovation economies. Operationalize ANRF and deepen academia-industry collaboration. Example: Deep-tech innovation.
5. Secure Semiconductor and Compute Supply Chains: Expand semiconductor manufacturing incentives. Diversify sourcing through trusted partnerships with Japan, Taiwan, Europe, and the US. Example: Trusted supply chains.
6. Regulatory and Cybersecurity Preparedness: Strengthen CERT-In, Digital Personal Data Protection implementation, and AI governance frameworks. Adopt sector-specific cyber resilience standards. Example: Cyber resilience.
7. Strategic Multi-Alignment: Leverage Quad, I2U2, Indo-Pacific partnerships, and Global South cooperation. Avoid dependence on a single technological ecosystem. Example: Diversified partnerships.

Way Forward

1. Identify critical technologies through a National Technology Security Strategy.
2. Adopt a strategic autonomy stack for AI, cloud, semiconductors, and cybersecurity.
3. Shift from mere digital consumption to innovation-led technological leadership.
4. Integrate NITI Aayog’s AI-for-All vision with national-security priorities.
5. Develop trusted public digital infrastructure globally through the India Stack model. Example: DPI diplomacy.

Conclusion

Echoing Dr. A.P.J. Abdul Kalam’s vision in India 2020, genuine strategic autonomy in the digital age demands technological capability, resilient institutions, and innovation-driven sovereignty rather than dependence-driven efficiency.