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Introduction

Artificial Intelligence is emerging as the decisive lever of economic and strategic power in the 21st century. While India aspires to be a global AI hub, excessive reliance on foreign infrastructure, models, and capital risks reproducing patterns of digital colonialism, undermining long-term technological sovereignty and innovation capacity.

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How Dependence on Foreign AI Infrastructure Creates Digital Colonialism

• Intelligence Dependency: When foundational models are built abroad, India becomes merely a consumer, not a creator.
  Eg: Heavy reliance on US-based large language models for government and startup applications.
• Foreign-Controlled Compute Infrastructure: Critical AI workloads running on foreign cloud servers create strategic vulnerability.
  Eg: Indian AI startups depending on overseas hyperscalers for GPU access.
• Data Extraction without Value Retention: India supplies vast datasets, while value creation and monetisation occur abroad.
  Eg: Global platforms training models on Indian user data but retaining IP overseas.
• Standards and Rules Set Externally: AI governance frameworks shaped by dominant powers influence domestic policy space.
  Eg: Alignment pressures with US or EU AI standards without indigenous normative leadership.
• Economic Drain & Limited IP Ownership: Absence of domestic semiconductor and foundational R&D ecosystems leads to capital outflow.
  Eg: Import dependence on advanced AI chips due to limited indigenous fabrication capacity.

How India Can Safeguard Technological Sovereignty

• Build Foundational Research Capacity: Move beyond API-wrapping to develop indigenous base models.
  Eg: Public funding for frontier AI research in IITs and IISc with peer-reviewed outputs.
• Treat Compute as a Strategic National Asset: Invest in sovereign GPU clusters and domestic cloud ecosystems.
  Eg: National AI compute grid accessible to startups and researchers.
• Strengthen Semiconductor Resilience: Develop domestic chip design and fabrication capabilities.
  Eg: Expanding semiconductor manufacturing incentives under national chip missions.
• Reform STEM & Skill Ecosystem: Shift from rote learning to hands-on AI research and product development.
  Eg: University-industry AI labs focused on real-world deployment and patents.
• Ensure Regulatory Clarity with Accountability: Promote innovation while preventing performative “AI theatre.”
  Eg: Centres of Excellence evaluated on peer-reviewed research, patents, and indigenous architecture.

Conclusion

Digital colonialism in AI is not imposed through territory but through algorithms, compute, and intellectual property control. For India, technological sovereignty demands genuine research depth, semiconductor resilience, sovereign compute infrastructure, and institutional accountability shifting from AI adoption to authentic AI creation and global standard-setting leadership.

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