"The centre of gravity of the military-industrial complex is shifting from the factory to the server." Examine the implications for India's defence indigenisation strategy.

A military's edge now comes less from the platforms it builds and more from the software, cloud, chips and AI models that run them. India's indigenisation drive is still organised around platforms and DPSUs, so it must adjust to this software-defined shift or risk making hulls at home while importing the "brains."

Implications: Challenges

• Hardware-era structure: India runs defence AI through DPSU roadmaps under the Defence AI Council and DAIPA, both set up in 2019 [1]. AI is being added on top of the factory model.
• Thin funding: MoD earmarked Rs 100 crore a year, about one-tenth of what its own task force recommended [1].
• Marginal start-up channel: iDEX has signed 45 contracts worth about Rs 2,326 crore [3]. That is roughly 0.3% of the 2026-27 defence budget of Rs 7.85 lakh crore [3].
• Compute dependence: India relies on foreign chips and cloud. Classified networks built on foreign stacks invite vendor lock-in, a dependency that is harder to escape than buying imported spares.
• Governance gap: States remain divided over what "meaningful human control" requires [4]. Firms that write the code gain leverage over the state.

Implications: Opportunities

• Lower entry barriers: Software iterates faster than jet engines. India's IT talent and start-ups can close gaps sooner.
• Cost-imposition: Cheap AI-enabled drones and algorithms can offset an adversary's costly platforms. This suits a budget-constrained military.
• Proven base: The 75 AI products launched in 2022 show that capability exists in the Services, DRDO, DPSUs and start-ups [2].

Way Forward

• Fund DAIPA at the level its task force set [1]. The institutions already exist; only the money is missing.
• Turn iDEX into a buying channel by reserving a fixed share of capital procurement for AI and start-up systems [3].
• Sovereign defence compute: MoD and MeitY should jointly build secure cloud and support indigenous chips.
• Agile acquisition: Procurement rules should allow continuous software upgrades instead of one-time platform buys.
• Responsible AI: Build legal and technical reviews into development [6], since IHL already applies to autonomous weapons [5]. India can then help shape definitions at the CCW-GGE.

The shift from factory to server redefines what self-reliance means: owning the code and compute matters as much as owning the assembly line. If India funds its AI institutions, opens procurement to start-ups and secures sovereign compute within IHL, Aatmanirbhar Bharat can mean both strategic autonomy and a responsible military.