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Wall Street has put a suit on Dogecoin, but smart money is doing something else—quietly accumulating AI mining machines.
DOGE ETF's first-day trading volume reached $17 million, which sounds good, but it's just the appetizer. The real drama unfolds at the data level—during the same period, the total market cap of AI concept tokens surged by 210%, and the total locked value of computational infrastructure projects skyrocketed by 470%. This is not a deviation; it’s capital voting.
**The Duality of the DOGE ETF: Compliance Does Not Equal Stability**
The regulatory policies released on December 9th now allow banks to conduct "risk-free principal trading," theoretically injecting hundreds of billions of dollars of liquidity into the market. Sounds great, right? But reality gave a slap—after the ETF launched, DOGE plummeted by 38%. Compliance only solves the question of "whether we can buy," not "whether it’s worth holding."
A professor at Yale, who studied financial bubbles, once said that assets sustained by narratives are particularly vulnerable during liquidity crises. Downward market sentiment plus intrinsic value deficiency equals a "double kill." The evaporation of DOGE’s market cap is either a betrayal by Wall Street or a sign that market laws are kicking in.
And it gets more painful—DOGE ETF is based on legal frameworks from the 1940s, essentially a "packaging game." It bypasses custody requirements, but the fundamental contradiction remains unresolved: how can an asset priced based on Musk’s tweets meet institutional risk standards?
**The Real Money in AI Tokens: From Storytelling to Returns**
While DOGE was being dumped in panic, the AI sector was steadily rising. This reflects a fundamental shift in the crypto market in 2025: the value anchor has shifted from "community consensus" to "actual revenue."
Venture capital data for 2024 shows that 31% of funds flowed into AI, but the story behind this number is even more important. Starting from Q3 last year, some AI protocols began generating real revenue. Decentralized computing rental platforms can achieve gross margins of up to 58%, approaching the level of traditional cloud service providers.