Krypton News | Japan May Sell US Bonds to Fund Record Yen Intervention; Yu Hao Internal Post: Will Continue to Focus on Real Industry Without Distraction
The $62 billion market value evaporation among Bitcoin "treasury" companies sounds alarming, yet it is hardly surprising. The saying "you only know who's swimming naked when the tide goes out" fits crypto asset companies perfectly. The "buy-and-hold" Bitcoin long-term strategy these companies promoted over the past two years was essentially a Ponzi narrative built on the assumption of ever-rising prices. Now that prices are retreating, they face not a "strategic adjustment" but an existential ch
Analysis
The $62 billion market value evaporation among Bitcoin "treasury" companies sounds alarming, yet it is hardly surprising. The saying "you only know who's swimming naked when the tide goes out" fits crypto asset companies perfectly. The "buy-and-hold" Bitcoin long-term strategy these companies promoted over the past two years was essentially a Ponzi narrative built on the assumption of ever-rising prices. Now that prices are retreating, they face not a "strategic adjustment" but an existential choice: debt default or forced selling—the latter of which would further depress the market, triggering a death spiral. The partner at Tokenize Capital was correct in saying expectations have been shattered, but the real issue is that those expectations were as fragile as a castle built on sand from the very beginning. The crypto world often speaks of "consensus," but this kind of consensus, propped up by narratives and bull markets, is incredibly brittle.
In stark contrast to this dramatic evaporation of virtual wealth is the call made by Dreame Technology's founder, Yu Hao, in an internal group chat: "Focus on real industry without distraction." In an era where everyone talks about leverage, hype, and quick exits, this almost stubborn perseverance appears scarce and genuine. Yu Hao's intention to "take on the world's toughest markets" is a plain statement, yet it strikes at the pain point of many tech companies today: Are we more excited about playing number games in capital markets, or are we willing to buckle down and meticulously refine every detail in the true depths of technology? Dreame's choice of the latter at least proves the existence of a path: Above the noise, hardcore technological innovation and solid global market expansion are the foundation for weathering cycles. Real industry, especially hard tech with technological barriers, is never a pig riding the wind—it is a tree standing firm in the storm.
However, the story of capital markets is far from over. Reports that Japan might sell U.S. Treasuries to fund yen intervention reveal another layer of complexity. This is not merely about exchange rates—it's a ripple effect of major power financial games. When one of the world's largest holders of U.S. debt begins reducing its holdings, the implied adjustments in global capital flows and reshaping of geopolitical-economic relationships could have far deeper implications than the collapse of Bitcoin. Technology investment is never played in a vacuum; it is inevitably subject to the turbulent waves of macroeconomics and finance. Today's AI startups, while battling over computing power, data, and models, might also look up to see how the "underlying code" of the global economy and finance is being rewritten.
Looking domestically, the first close of Inno Capital's third-phase fund at 1.5 billion RMB, continuing to focus on early-stage tech and AI, reflects a calm optimism. When the market is broadly anxious, capital still willing to bet on the earliest seeds and technological innovations is the lifeblood that keeps the industry vibrant. Amap (Gaode) establishing a new company in Hangzhou, with business scope covering AI infrastructure software and auto sales, signals another trend: giants are embedding AI capabilities deeper into their vast business ecosystems, extending from map navigation to broader intelligent mobility services. Meanwhile, Shanghai Mechanical & Electrical and Lingqiao Intelligence's joint venture represents another path—traditional manufacturing giants are actively embracing AI hardware and applications through investment and incubation, aiming to take the initiative in production line automation and intelligent upgrades. These moves may seem scattered, but together, they paint a realistic picture of industrial AI implementation: it's not a revolutionary overnight transformation, but a foundation built piece by piece through countless such company establishments, fund investments, and technological collaborations.
Finally, there's Tencent Cloud's newly released WorkBuddy Enterprise Edition. Branded as an "AI-native organizational evolution solution," it offers "digital employees" and "AI team modes." The idea is compelling, but the word "evolution" is perhaps overused. For most enterprises, what's needed is not radical "organizational evolution" but practical AI tools that genuinely boost efficiency, reduce costs, and solve specific pain points. Packaging AI as an all-knowing "expert employee" risks raising expectations, only to create a gap during actual implementation. The real challenge of enterprise AI applications often lies not in whether the technology is flashy, but in whether it can truly integrate with complex business processes and organizational culture, and whether the return on investment is reasonable. Tencent Cloud's move feels more like an entrance battle to capture the enterprise AI workstation market. The narrative is grand, but whether users will buy in ultimately depends on whether the tool is truly useful—whether it helps workers reduce overtime and lets bosses see tangible ROI.
Today's information—from Bitcoin's plunge to the steadfastness of real industry, from undercurrents in global finance to domestic industrial layout—may seem diverse, but it all points to one reality: no matter how dazzling the narratives or how trends shift, what ultimately preserves value are those entities anchored in real needs, equipped with hardcore capabilities, and able to navigate steadily through complex macroeconomic environments. Beneath the waves of AI lies a gold rush of mixed quality, and time will inevitably wash away the foam, leaving behind the true gold.
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