Скачать или смотреть US $2 Trillion Stealth Advantage DESTROYED by China's AI Spider Web Radar.

#china #unitedstates #chipwar
China’s new “Spider Web” radar systems may be the first true anti-stealth radar, threatening US F-35 stealth jets and decades of American military technology dominance. What makes this moment different isn’t a new missile or weapon—but a breakthrough in AI, sensor fusion, and high-performance compute.
For over 30 years, US stealth aircraft relied on physics and signal processing to stay invisible. But China’s Spider Web flips the equation. Instead of relying on a single radar, it links low-frequency radar systems, multistatic sensors, and AI-driven data fusion into a distributed detection network designed to expose stealth aircraft once thought untouchable.
In this video, we break down how China’s Spider Web radar works, why low-frequency and anti-stealth radar challenge traditional stealth design, and how AI-powered cognitive radar could neutralize electronic warfare systems like the EA-18G Growler. This isn’t just a military story—it’s a story about algorithms beating hardware, and compute overtaking platform advantage.
We also examine what this means for US carrier strike groups, the future of electronic warfare, and why platforms like the B-21 Raider, Next Generation Jammer, and loyal wingman drones are central to America’s response. At the core of this race is the same theme shaping AI and semiconductors worldwide: whoever controls compute, sensors, and data wins.
Finally, we explore the most dangerous implication of all—algorithmic warfare, where AI systems may soon make life-or-death decisions faster than humans can intervene. If stealth is becoming conditional and AI is shrinking decision time to seconds, what happens when competing systems misread the same signal?
This video connects AI, chips, radar systems, sensor networks, and future warfare into one story—showing how the US–China tech war is moving from factories and fabs into the electromagnetic spectrum itself.

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#nvidia #ai #asml #semiconductors #quantumcomputing