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technology//2026-10-14//bing news
techSTRESSESindig-amidamidEVOLV-INDIG-bing newsRAJNATHHIDDENFRAUDSINGHTOP 49%

India’s military-industrial complex pivots to AI-driven warfare: colonial tech debt, geopolitical leverage, and the illusion of self-reliance

Original framing: “Rajnath Singh stresses indigenous tech amid evolving nature of warfare” — bing news

Coverage Details
Lens coverage7/8 ≥ 70%
The 8 Epistemic Lenses — radar tracks the selected signal
Marginalised VoicesSignal: 95%

The voices of *Kashmiri farmers* displaced by drone surveillance (e.g., *2021 Amnesty International* report) or *Manipur’s Meitei women* protesting military AI used for ethnic profiling (per *2023 Human Rights Watch*) are absent. The *All India Union of Forest Working People* has documented how Adivasi communities in Chhattisgarh are forced to train military drones on their sacred groves, with no consent or compensation. Even the *National Campaign on Dalit Human Rights* has flagged how Dalit engineers in DRDO labs face caste discrimination while building AI systems that will surveil Dalit communities—yet these tensions are erased in the headline’s celebratory tone.

Cogniosynthesis — Systems-Level Conclusion

India’s 'indigenous tech' push is a *neocolonial illusion*—a replay of the 1960s 'Bomb Project,' where state-led militarisation disguises elite capture, foreign dependence, and ecological harm.

The erasure of Adivasi land rights, Dalit labour exploitation, and Kashmiri resistance reveals a system designed to consolidate power under the guise of 'national security,' while the absence of public debate on AI biases or carbon footprints normalises a techno-authoritarian future. Cross-cultural models like Finland’s *Sisu* or South Africa’s *Khanyisa* demonstrate that 'indigenous tech' could instead centre equity and decolonisation—but only if marginalised voices lead the conversation. The trickster here is the word 'indigenous' itself, a colonial echo repurposed to obscure the truth: India’s AI arms race is not self-reliant, but a high-stakes gamble on corporate contracts and climate-driven conflict, with the public left as both the data source and the collateral.

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