AI's increasing role in defence is reshaping national security strategies. UPSC cares because AI in defence impacts India's strategic capabilities and global power dynamics.
Artificial Intelligence (AI) has become a core component of modern defence infrastructure and national security strategy. Recently, US companies announced plans to lay undersea cables linking the United States and India, signalling the consolidation of critical data corridors between strategic partners. Simultaneously, Indian telecom companies signed Memoranda of Understanding (MoUs) at an AI summit to expand domestic AI capabilities.
These developments reflect a fundamental truth: AI is now a geopolitical asset. Nations that control data flows, computing power, and advanced algorithms will shape the balance of power in the 21st century. For India, AI is not merely an economic tool—it is a national security imperative.
Data, machine learning, Internet of Things (IoT) networks, and quantum research are transforming modern warfare. Today's battlefield spans:
AI is embedded across all domains.
Key Principle: The side that processes information faster often gains the upper hand. AI will augment soldiers, not replace them. The speed and scale of augmentation will determine operational advantage.
India has recognised the importance of AI in defence. Current efforts include:
| Initiative | Details |
|---|---|
| Defence Research and Development Organisation (DRDO) | Established AI-focused centres |
| iDEX Framework | Supports start-ups developing defence applications |
| Armed Services Pilot Projects | Surveillance, predictive maintenance, unmanned systems |
Assessment: These are positive developments, but India's quantum of R&D remains modest compared with global leaders.
These ensure confidence in independence during crises.
As AI adoption accelerates, India must establish clear frameworks:
India needs a mission-mode National Defence AI programme with:
Clear ownership and defined operational priorities
Assured multi-year funding
Focused outcomes in:
Structural Changes:
Infrastructure Development:
Talent and Integration:
Direct Questions:
Indirect/Thematic Questions:
Current Affairs Angle:
| Term | Definition | Context Sentence |
|---|---|---|
| Latency | The delay in data transmission or system response time. | AI systems for defence require rapid data exchange and low latency to process battlefield information in real time. |
| ISR (Intelligence, Surveillance, Reconnaissance) | Military operations to gather information about enemy positions, movements, and capabilities. | AI systems in ISR can sift through satellite imagery and sensor feeds in seconds, flagging patterns that human analysts might miss. |
| Autonomous Systems | Machines or platforms that operate independently without direct human control, making decisions based on programmed algorithms. | Autonomous and semi-autonomous drones have altered the cost calculus of modern warfare by reducing risk to soldiers. |
| Civil-Military Fusion | Integration of civilian technology, research, and industry with military applications and strategy. | China has integrated AI into a civil-military fusion model, backed by strong state support, giving it strategic advantage. |
| Dual-Use Technology | Technology that can be used for both civilian and military purposes. | 5G, edge computing, and IoT are dual-use technologies that can support defence applications while serving civilian markets. |
| Data Sovereignty | A nation's right to control and govern data generated, processed, and stored within its borders. | The foundation of AI sovereignty lies in secure cloud infrastructure, indigenous semiconductor capability, and resilient data governance. |
| Adversarial Attacks | Deliberate attempts to manipulate or deceive AI systems by feeding them false or corrupted data. | AI systems are vulnerable to adversarial attacks and data manipulation; a spoofed sensor feed can lead to dangerous outcomes. |
| Dimension | Current Status | Gap | Recommendation |
|---|---|---|---|
| Funding | <1% of GDP on R&D | Modest vs. US/China | Multi-year assured funding |
| Institutional Framework | DRDO centres, iDEX, pilot projects | Dispersed, siloed efforts | Mission-mode National Defence AI Programme |
| Private Sector Integration | Limited collaboration | Long procurement timelines | Faster field trials, assured induction pathways |
| Infrastructure | Emerging | Lack of indigenous chips, secure cloud | Indigenous computing, defence cloud |
| Talent | Abundant AI workforce | Limited civil-military mobility | Structured talent exchange |
| Doctrine | Developing | Gaps in autonomous systems ethics | Clear ethical and doctrinal frameworks |
| Quantum Research | Promising labs | Lab-to-deployment gap | Military alignment, sustained investment |
✓ AI is embedded across all modern warfare domains: land, sea, air, space, electromagnetic spectrum.
✓ Key advantage: Speed of information processing determines operational edge.
✓ India's R&D spending is <1% of GDP; US and China dominate defence AI.
✓ Critical infrastructure: Undersea cables, secure cloud, indigenous semiconductors, quantum computing.
✓ Private sector strength: Telecom, 5G, IoT; weakness: limited military integration.
✓ Ethical concerns: Human oversight, accountability, adversarial attacks on AI systems.
✓ Way forward: Mission-mode programme with clear ownership, multi-year funding, academia-industry-military collaboration.
✓ AI sovereignty = algorithms + chips + data governance + resilient networks.
Q1. Consider the following statements regarding India's initiatives in Artificial Intelligence (AI) for defence: 1. The Defence Research and Development Organisation (DRDO) has established AI-focused centres. 2. The iDEX framework primarily supports large established defence contractors in developing AI applications. Which of the statements given above is/are correct?
The option at index 0 is correct because statement 1 is correct: DRDO has indeed established AI-focused centres. Statement 2 is incorrect: The iDEX framework supports start-ups, not large established defence contractors, in developing defence applications. The option at index 1 is therefore incorrect. The option at index 2 is incorrect because statement 2 is false. The option at index 3 is incorrect because statement 1 is true.
Q2. Approximately what percentage of India's GDP is currently allocated to overall Research and Development (R&D) expenditure?
The option at index 2 is correct because the passage states that India's overall R&D expenditure remains below one percent of GDP. The option at index 0 is incorrect because 2% is significantly higher than the stated amount. The option at index 1 is incorrect because 3% is significantly higher than the stated amount. The option at index 3 is incorrect because 5% is significantly higher than the stated amount.