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Army used AI to predict, foil Chinese move along LAC in Arunachal: Lt Gen Dinesh Singh Rana – Firstpost

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AI-powered prediction tools helped the Indian Army anticipate and foil an unprecedented Chinese move along the Line of Actual Control in Arunachal Pradesh, Lt Gen Dinesh Singh Rana said, underscoring artificial intelligence’s growing role in modern warfare and national security strategy.

Amid the rapid use of Artificial Intelligence, India has been using it on a larger scale the used artificial intelligence (AI)-powered prediction tools was used by the Indian Army to anticipate and foil an unprecedented Chinese attempt along the Line of Actual Control (LAC) in Arunachal Pradesh, Lt Gen Dinesh Singh Rana, Commander-in-Chief, Strategic Forces Command, said.

While addressing the India AI Impact Summit, 2026, Rana emphasised the use of AI technology and how AI transformed modern warfare techniques from building strategic drones to doctrines and national security planning.  

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The Commander-in-Chief reflected on his career as a commanding officer from LAC security in Arunachal Pradesh, and shared how he developed a local, low-cost AI system to help detect early warnings of a Chinese military build-up in a disputed sector.

“We could see through some AI systems that something was building up. Finally, we were able to predict the timing of their move,” he said.

He also described the Chinese move as “unprecedented” and noted that timely AI-enabled intelligence which ensured effective force positioning and evacuation planning, “We could see through some AI systems that something was building up. Finally, we were able to predict the timing of their move,” he said.

Lt Gen Rana said artificial intelligence is no longer a distant concept but a core driver of global power shifts. He noted the surge in investments worldwide, especially by the United States and China, calling it an unfolding AI race.

“In the cyber domain, AI-powered systems can both conduct sophisticated offensive operations and strengthen defensive capabilities by identifying vulnerabilities and plugging gaps,” he said.

He also cautioned that the shift from narrow AI to artificial superintelligence (ASI) , if achieved, would bring both opportunities and challenges.

Citing lessons from the Russia-Ukraine conflict, he stressed the need for scalable, low-cost AI battlefield systems, including autonomous drones, rather than relying solely on high-end capabilities.

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“As we aspire to become a superpower, we must also become a responsible AI power – just as we are a responsible nuclear power,” he said, adding that advanced AI capabilities, once acquired, would be used responsibly.

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