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The $589 Billion Shock That Changed Everything On January 27, 2025, Wall Street witnessed the largest single-day market capitalization loss in corporate history. Nvidia lost $589 billion in hours—not from a recession or war, but from an announcement by a Chinese AI startup most Americans had never heard of. DeepSeek, operating from a single office building in Hangzhou, claimed it built an AI model rivaling OpenAI’s most advanced systems for just $5.6 million—while Meta had invested over $60 billion in AI infrastructure. Within 24 hours, over $1 trillion evaporated across semiconductor and AI sectors. But this wasn’t just a market correction. This was asymmetric technological warfare—executed not with missiles, but with algorithms and efficiency. What You’ll Discover: 🔹 The Pattern: How rising powers throughout history have challenged dominant nations by exploiting their vulnerabilities, not matching their strengths—from Germany’s industrial challenge to Britain in the 1800s to Japan’s devastation of American manufacturing in the 1980s 🔹 The Semiconductor Trap: How Biden’s October 2022 export controls—designed to permanently cripple China’s AI development—backfired spectacularly, forcing Chinese researchers to pursue algorithmic efficiency instead of brute computational power 🔹 The Real Numbers: Why American tech giants committed $364 billion in AI infrastructure spending for 2025 alone, and what happens when that entire investment thesis gets challenged by a $5.6 million breakthrough 🔹 The Deployment Advantage: While Silicon Valley pours billions into training ever-larger models, China’s “AI Tigers” are deploying practical AI across 90% of their economy by 2030—at one-tenth the cost of American alternatives 🔹 The Three-Tier Future: How the global AI market is bifurcating into premium high-cost systems, cost-optimized competitors, and free subsidized services—and why American companies face an impossible strategic dilemma 🔹 The Geopolitical Endgame: Why this isn’t about who builds the smartest AI, but who deploys it fastest and cheapest—and how that battle will determine the economic order for decades The Critical Insight Nobody’s Talking About: Breakthrough technologies follow predictable cost reduction curves—just like Moore’s Law, solar panels, and genome sequencing. When costs fall faster than expected, massive capital investments become stranded assets. American AI companies are building infrastructure today that must generate returns over many years—but what if AI capabilities advance while costs collapse faster than projected? This is economic attrition warfare: force your opponent into capital-intensive commitments while you optimize for efficiency and deployment speed. The side that achieves comparable results with lower resource consumption gains decisive, compounding advantages. The stakes? Not just market share in AI services, but the fundamental architecture of the global economy for the 21st century. The nations and companies that achieve widespread AI deployment will capture enormous economic gains. Those focused on frontier models without matching deployment may find themselves technologically sophisticated but economically marginalized. History shows technological leadership often shifts not when the leader stops innovating, but when it becomes locked into expensive approaches while challengers develop more efficient alternatives. Britain led the first Industrial Revolution but lost ground in the second. America dominated personal computing but struggled initially in mobile devices. We’re in that uncertain phase now. The capital has been committed. The infrastructure is being built. The strategies are in motion. But the terrain is shifting faster than anyone anticipated. DeepSeek didn’t trigger this shift—it revealed a transformation already underway. 🎯 Who This Is For: Investors tracking AI and semiconductor markets Tech professionals navigating the AI revolution Policy analysts studying U.S.-China competition Anyone concerned about economic and technological futures Sources include: Morgan Stanley Research, Stanford HAI, TIME, Bloomberg, Goldman Sachs, RAND Corporation, Brookings Institution, CSIS, Federal Reserve Economic Research, and 15+ additional institutional sources (full citations in video). Disclaimer: This documentary presents analysis and research for educational purposes. It does not constitute investment advice. Market conditions and geopolitical situations are highly dynamic and subject to change.