China’s Silent AI War: How Raw Street Footage Is Being Weaponised Against South Asia | Exclusive Details

Last Updated:November 11, 2026, 5:20 PM IST

China is training AI models to fabricate convincing crisis scenarios, staged civil unrest, infrastructure destruction, and fake military misconduct on demand

The active harvesting of raw street footage—particularly across dense urban pockets and low-income neighbourhoods in Bangladesh—marks a fundamental shift from immediate disinformation campaigns by China to long-term digital infrastructure building. Representational image

In a major revelation decoding modern psychological operations, CNN-News18 has found that ground-level video footage harvested across South Asian urban landscapes is being converted into a tactical tool for synthetic narrative warfare by China. This extensive data collection by hostile apparatuses is not merely intended to portray neighbouring nations in a poor light; it serves a much more calculated purpose. By capturing uncurated, high-density street-level video, adversary psychological operations teams are systematically training artificial intelligence models to fabricate convincing crisis scenarios, staged civil unrest, infrastructure destruction, and fake military misconduct on demand.

The active harvesting of raw street footage—particularly across dense urban pockets and low-income neighbourhoods in Bangladesh—marks a fundamental shift from immediate disinformation campaigns by China to long-term digital infrastructure building. Rather than relying on traditional field crews or real-world film, hostile actors are gathering localisation datasets to construct high-resolution visual baselines of South Asian geography. Once these pre-trained generative AI models are fine-tuned on regional architecture, street textures, and population density, political warfare strategists can generate hyper-realistic, localised deepfake imagery within minutes during a future geopolitical crisis or military conflict.

This emerging threat represents a potent form of modern asymmetric warfare and underscores why the operation functions as deliberate future planning by Beijing. A generative model trained on South Asian urban density can easily recycle and swap visual elements, allowing intelligence operatives to misattribute synthetic scenes of rioting or destruction to target cities like New Delhi, Mumbai, Kolkata, or Dhaka with alarming contextual plausibility. By weaponising local geographic data today, Chinese PsyOps teams are ensuring that tomorrow’s narrative warfare can be deployed instantly to manipulate public perception, trigger internal destabilisation, and bypass traditional factual verification channels.

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How is raw street footage from South Asia being used by China in modern psychological operations?

Hostile apparatuses are systematically harvesting uncurated, high-density street-level video across South Asian urban landscapes to train artificial intelligence models. This allows psychological operations teams to fabricate convincing crisis scenarios, staged civil unrest, and fake military misconduct on demand during future conflicts.

Why is the harvesting of street footage in Bangladesh considered a shift in digital strategy?

The active data collection across dense urban pockets and low-income neighbourhoods in Bangladesh marks a fundamental shift from immediate disinformation campaigns to long-term digital infrastructure building. Instead of relying on traditional film crews, actors gather localisation datasets to construct high-resolution visual baselines of regional geography.

What are the long-term geopolitical risks of fine-tuning generative AI models with South Asian data?

Once generative AI models are fine-tuned on regional architecture and population density, political warfare strategists can generate hyper-realistic, localised deepfake imagery within minutes. This allows intelligence operatives to misattribute synthetic scenes of rioting or destruction to target cities like New Delhi, Mumbai, Kolkata, or Dhaka to manipulate public perception.

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About the Author

Manoj Gupta

Group Editor, Investigations and Security Affairs, Network18

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