In June 2020, Indian and Chinese soldiers clashed in the Galwan Valley along the Line of Actual Control in Ladakh — a brutal hand-to-hand engagement in which both sides suffered casualties, and which shocked the Indian strategic establishment into confronting the full dimensions of the China threat. The Galwan incident, the worst India-China border clash in decades, exposed the gap between India's military capability and what the threat environment along the LAC actually required. New Delhi's response has been systematic and, by the standards of Indian defense procurement, unusually rapid: a comprehensive modernization program centered on AI, autonomous systems, and domestic defense production that represents the most significant reorientation of Indian military investment since independence.

The numbers are significant. India's defense budget for fiscal year 2024–25 reached ₹6.21 lakh crore ($74.6 billion), the highest in the nation's history and representing a 4.7% increase over the previous year. Capital expenditure on new equipment reached ₹1.72 lakh crore, with a mandated minimum 75% procurement from domestic sources under the Atmanirbhar Bharat (self-reliant India) defense policy. The cumulative modernization investment planned through 2035 exceeds $100 billion, with AI and autonomous systems designated as priority investment categories in the Defence Ministry's AI-specific roadmap, published in 2018 and substantially updated in 2022.

$74.6B Defence Budget FY2024-25
$100B+ 10-Year Modernization Plan
75% Domestic Procurement Mandate
450+ iDEX Startups Funded

DRDO: The AI Weapons Factory

The Defence Research and Development Organisation is India's primary military technology R&D agency, employing approximately 30,000 scientists and engineers across 52 laboratories spread across India. DRDO's historical record has been mixed — ambitious programs with extended development timelines and cost overruns are a persistent criticism — but the organization has undergone a significant restructuring since 2019 focused on accelerating development cycles and increasing collaboration with the private sector.

DRDO's AI-relevant programs span multiple domains:

TAPAS-BH (MALE UAV)

The Tactical Airborne Platform for Aerial Surveillance Beyond Horizon is India's domestically developed medium-altitude long-endurance unmanned aerial vehicle, designed to provide persistent ISR capabilities equivalent to the Israeli Heron-TP systems currently operated by the Indian Air Force. TAPAS-BH has a maximum endurance of 18 hours, a service ceiling of 28,000 feet, and a payload capacity of 350 kilograms. Development has been ongoing since 2010, with the aircraft completing its 50-hour endurance trial in 2023 and receiving validation for limited operational use in 2024. The program has been criticized for delays but represents a genuine capability development that reduces India's dependence on imported ISR platforms.

The AI integration in TAPAS-BH centers on its sensor fusion architecture, which uses ML-based algorithms to integrate electro-optical, SAR radar, and signals intelligence data into a common operational picture. DRDO's Aeronautical Development Establishment laboratory in Bengaluru developed the fusion engine, drawing on academic partnerships with the Indian Institute of Science and IIT Bombay.

SWiFT and the Combat Air Teaming System

In July 2022, DRDO's Aeronautical Development Agency conducted the first flight of SWiFT (Stealth Wing Flying Testbed), a technology demonstrator for an autonomous unmanned combat air vehicle. SWiFT has a flying wing configuration designed to minimize radar cross-section, and is intended to demonstrate autonomous flight control, terrain following, and ultimately weapons employment without real-time human operator inputs. The program is directly analogous to the loyal wingman concept being pursued by the United States, Australia, and the United Kingdom.

The Combat Air Teaming System (CATS) initiative, managed jointly by the Hindustan Aeronautics Limited and DRDO, envisions a heterogeneous swarm of unmanned aircraft operating alongside manned fighters. The CATS Warrior, an AI-autonomous unmanned combat air vehicle, and the CATS Hunter, an AI-guided air-to-ground munition, are the primary components. HAL presented the full CATS concept at Aero India 2021, where it attracted significant attention from both potential Indian customers and export market observers. A full system demonstration involving manned-unmanned teaming was conducted at Aero India 2023.

The LAC Frontier: AI Deployed at Altitude

The most operationally significant deployment of AI in the Indian military is occurring along the Line of Actual Control — the 3,488-kilometer disputed frontier with China that traverses some of the world's most extreme terrain. Following the Galwan crisis, India made a strategic decision to substantially upgrade its surveillance, early warning, and response capabilities along the LAC, with AI systems serving as force multipliers in an environment where sustaining large human garrisons at high altitude is logistically and physically demanding.

Autonomous Surveillance Networks

The Indian Army has deployed a layered autonomous surveillance architecture along the LAC that integrates ground-based sensors, aerial platforms, and an AI-powered analysis system. The ground layer consists of seismic sensors, thermal cameras, and acoustic detection systems positioned at key crossing points. Data from these sensors feeds into an AI fusion platform that generates automated alerts when potential intrusion activity is detected. The aerial layer includes DRDO-developed Rustom-1 mini-UAVs and commercially procured Israeli Heron drones operating on pre-programmed patrol routes with AI-managed mission profiles.

The Integrated Intelligence, Surveillance, and Reconnaissance (IISR) system, developed specifically for LAC deployment, represents India's most advanced AI battlefield system. It integrates satellite imagery from India's RISAT-2BR1 and Cartosat-3 satellites, aerial sensor feeds, and ground sensor data into a common operational picture accessible to formation commanders at corps and division level. The AI engine within IISR is designed to detect pattern-of-life anomalies — changes in Chinese vehicle movement, construction activity, or personnel deployment — that human analysts might miss in the vast volume of sensor data generated along the frontier.

Counter-Drone Systems on the Frontier

China's aggressive use of drones for reconnaissance along the LAC — multiple incidents of Chinese UAVs entering Indian-claimed airspace have been documented since 2020 — drove accelerated investment in Indian counter-drone capabilities. The Defence Research and Development Organisation developed the D4 (Drone Detect, Deter, Destroy) system specifically for high-altitude deployment. D4 uses a layered detection approach combining radar, radio frequency scanning, and acoustic sensors to identify drones, an AI-based threat classification system to distinguish hostile from neutral UAVs, and directed energy and kinetic interceptors to engage confirmed threats.

The D4 system was deployed along multiple LAC sectors in 2022 and has been operationally active since then. DRDO has not disclosed engagement statistics, but Indian Army sources speaking to defense analysts at IDSA have described the system as operationally effective in the detection and tracking role, with neutralization capability confirmed against smaller drone threats.

iDEX: Building the Defense Tech Ecosystem

The Innovations for Defence Excellence program, launched by the Ministry of Defence in April 2018, represents India's most significant attempt to harness its commercial technology sector for military applications. iDEX provides funding, mentorship, and procurement pathways for Indian startups developing defense-relevant technologies. The program's structure deliberately mirrors elements of DARPA's SBIR program and Israel's Office of the Chief Scientist defense track.

By early 2026, iDEX had disbursed grants to over 450 startup companies, with total committed funding exceeding ₹600 crore ($72 million). The AI-relevant portfolio includes companies working on:

Noteworthy iDEX graduates include Sagar Defence Engineering, which developed an autonomous surface vessel for naval reconnaissance, and Newspace Research and Technologies, which received funding for AI-enabled UAV swarm development. The program's most significant limitation has been the transition from iDEX grant to actual military procurement — a notoriously slow and bureaucratically complex process that has frustrated several promising companies.

Policy Signal

In March 2024, India's Defence Acquisition Council approved a new fast-track procurement category specifically for AI-enabled systems developed by iDEX grantees, with a target procurement timeline of 12 months versus the standard 3–7 year Defence Acquisition Procedure cycle. This policy change, if effectively implemented, could substantially accelerate fielding of domestically developed AI systems.

Indian Air Force AI: The Tejas Mk2 and Beyond

The Indian Air Force is pursuing AI integration across its platform and ground systems portfolio, with the Tejas Mk2 next-generation fighter aircraft serving as the primary near-term AI testbed. The Tejas Mk2, scheduled for its first flight in 2025 (delayed from 2024), incorporates an AI-assisted pilot situational awareness system developed by HAL in partnership with DRDO's Centre for Artificial Intelligence and Robotics (CAIR). The system aggregates sensor data, threat assessments, and mission parameters to provide the pilot with ranked response options and automated threat warnings.

More significantly, the Indian Air Force's Advanced Medium Combat Aircraft (AMCA), India's fifth-generation stealth fighter program, is being designed from the ground up with AI integration as a core requirement rather than an afterthought. The AMCA specification includes an AI co-pilot capable of managing fuel, systems, and weapons independently; an integrated electronic warfare suite with ML-based threat adaptation; and compatibility with the CATS loyal wingman concept, enabling the AMCA to operate as the manned apex of a heterogeneous unmanned swarm.

India's Navy is the service with perhaps the most active AI integration program, driven by the strategic requirements of monitoring the Indian Ocean Region against Chinese PLAN expansion. The Navy's AI roadmap, publicly described in broad terms by successive Chief of Naval Staff addresses, focuses on three domains: autonomous surface and undersea vessels, AI-enabled maritime domain awareness, and predictive maintenance for the aging submarine fleet.

Program Platform AI Application Status
SAGAR-V Autonomous Surface Vessel Autonomous navigation, ISR Development, 2025
Project 75I P75I Submarine AI combat management system Contracted 2024
AISATS Maritime Domain Awareness AI vessel tracking, anomaly detection Operational 2023
Sea Guardian UAS MQ-9B (30 aircraft) Maritime patrol, ASW Contracted 2023, delivery 2025–26

India's $3.1 billion acquisition of 30 MQ-9B SeaGuardian and SkyGuardian drones from General Atomics, contracted in 2023 following years of negotiation, provides an immediate capability bridge while domestic programs mature. The MQ-9Bs are being divided between the three services and will operate with AI-enabled mission systems that interface with India's AISATS maritime domain awareness network.

Strategic Context: The China Factor

Every element of India's AI military modernization must be understood in the context of its strategic competition with China. India faces a peer adversary that outspends it on defense by approximately 3:1, possesses a substantially more advanced defense industrial base, and has demonstrated willingness to use force to assert territorial claims. India cannot achieve parity with China across all military dimensions on any reasonable timeline. The AI modernization strategy is therefore explicitly asymmetric: build specific capabilities that impose costs on Chinese operations in India's strategic environment — the high Himalayan terrain of the LAC, the Indian Ocean maritime approaches — rather than trying to match China everywhere.

The AI systems being deployed along the LAC are particularly significant in this context. China's People's Liberation Army has invested heavily in AI surveillance and reconnaissance capabilities along the same frontier, and the competition for persistent situational awareness in the high-altitude terrain between the two militaries is already underway. India's IISR system and China's equivalent — elements of the PLA's "intelligentized warfare" concept deployed in the Western Theater Command — are effectively competing in a real-world AI capability contest that neither side publicly acknowledges but both take very seriously.

India's strategic posture is further complicated by its relationships with the United States and Russia. India is a member of the Quad (Quadrilateral Security Dialogue) alongside the US, Australia, and Japan, and has deepened defense technology cooperation with Washington significantly since 2020. The US-India Defence Technology and Trade Initiative has enabled technology transfers relevant to AI-enabled defense systems that would not have been available a decade ago. Simultaneously, India maintains significant Russian legacy military equipment and procurement relationships that create political complexity for deeper Western integration. Navigating this dual dependency while building indigenous AI capability is the central challenge of India's defense modernization.

By 2030, if current investment trajectories continue, India will possess a genuinely capable AI-enabled military with autonomous surveillance networks along its frontiers, AI-assisted combat systems for its air force and navy, a growing domestic defense AI ecosystem, and a procurement base increasingly oriented toward domestic rather than imported systems. That trajectory represents a fundamental change in India's strategic weight — and in the balance of power across the Indo-Pacific.