Wall Street has issued a VIP card for Dogecoin, but smart money is smuggling AI mining rigs
The $17 million first-day trading volume of the DOGE ETF is just a stepping stone; the real wealth transfer is happening at the data layer
If September 2025’s listing of DOJE is the highlight of the crypto market, it is also a brutal disillusionment ritual—when "joke assets" put on suits and walk into the NYSE, people realize: the frenzy driven by emotion is as fragile as a bubble under the microscope of institutional funds.
What I am paying attention to is another event happening in the same period: the total market cap of AI concept tokens quietly grew by 210% in Q4, with the TVL (Total Locked Value) of compute infrastructure projects soaring by 470%. This is not divergence; it’s capital voting with its feet.
01 DOGE ETF Paradox: Compliance ≠ Resilience
On December 9, OCC (Office of the Comptroller of the Currency) just allowed banks to conduct "risk-free principal transactions," theoretically injecting hundreds of billions of dollars of liquidity into the market. But in reality, the 38% plunge in DOGE after the ETF listing proves that compliance only solves the question of "can we buy," not "is it worth holding."
Yale professor Shiller’s research reveals a harsh truth: narrative-driven assets face a "double kill" during liquidity crises—they must endure both market sentiment downturns and valuation collapses due to lack of intrinsic value. The $13 billion market cap of DOGE evaporating is not Wall Street’s betrayal but a return to market laws.
The deeper issue is that the DOGE ETF adopts a 1940s legislation structure, essentially a "packaging game." It bypasses custody requirements but doesn’t solve the fundamental contradiction: how can an asset priced based on Musk’s tweets meet institutional risk control standards?
02 The Invisible Fortress of AI Tokens: From Narrative to Cash Flow "Thrilling Leap"
As DOGE is sold off in panic, the strength of the AI sector reveals the core evolution of the 2025 crypto market: the value anchor shifts from "community consensus" to "protocol revenue."
2024 venture capital data shows 31% of funds flowing into AI, but this is only superficial. The real key is that starting in Q3 2025, some AI protocols are generating real income:
• Decentralized compute rental platforms achieve a gross margin of 58%, comparable to traditional cloud providers
• Protocol revenue in AI model marketplaces grows 300% quarter-over-quarter, with developer payment willingness exceeding expectations
• Token consumption speed in data annotation networks surpasses new issuance, entering a deflationary cycle
This is fundamentally different from DOGE: the value support for AI tokens is no longer "the next bag-holder," but the monthly compute bills paid by enterprise clients.
03 Why is AI the "Next Menu" for Wall Street? Three Key Evidence
Evidence 1: Transferability of Valuation Models
Traditional tech stock valuation methods—from chips to applications—can be directly applied to the AI sector. Institutional analysts don’t need to learn "decentralization" philosophy; they can use DCF models to derive reasonable prices. The lowered cognitive threshold accelerates capital inflow.
Evidence 2: Certainty of Policy Bonuses
In 2025, the US government will incorporate "AI + manufacturing" into the national strategy, with decentralized compute services appearing on the federal procurement list for the first time. When policy shifts from "regulation" to "procurement," it means AI protocols gain government procurement bonuses similar to early cloud computing. This endorsement is something DOGE will never get.
Evidence 3: Performance Validation Critical Point
A hallmark moment occurs in October 2025: an AI data analysis protocol’s quarterly revenue surpasses $50 million, with clients including two S&P 500 companies. This is the first vertical sector in crypto to achieve "institutional-level revenue." When protocol income covers token incentive costs, the entire economic model evolves from a Ponzi structure to a positive cycle.
04 My Strategy: Collect "Digital Oil" at the Emotional Bottom
After three bull-bear cycles, my core operating rule is:
1. Establish a "Value-Emotion" Tipping Point Indicator
When the crypto Fear & Greed Index drops below 10 (extreme fear), and AI protocol revenue has grown for 30 consecutive days, it’s a signal to heavily allocate. Divergence between market sentiment and fundamentals often yields the greatest alpha.
2. Distinguish "Pseudo-AI" from "Real Revenue"
99% of AI tokens are just riding the coattails of concepts. I only focus on one indicator: whether on-chain protocol revenue exceeds token inflation rate. Currently, fewer than 7 projects meet this standard.
3. Profit Reinvestment "Dual Circulation"
Profits earned from AI tokens are split: 50% withdrawn and locked, 30% reinvested into BTC/ETH core holdings, and 20% invested in earlier-stage AI infrastructure. Forming a closed loop of "value capture—risk isolation—ecosystem reinvestment."
Epilogue: Compliance is the Medicine, Value is the Principal
The $17 million trading volume of the DOGE ETF is essentially Wall Street testing the carrying capacity of "narrative assets." The 210% market cap growth of AI tokens proves the market is rewarding "digital oil" capable of generating cash flow.
The wealth story of 2026 will not belong to packaged emotions but to infrastructure that can grow revenue muscles. When OCC opens the crypto gates for banks, the first to rush in will not be retail investors but AI protocol business development teams with compliance audit reports.
Which vertical in the AI sector do you think will be the first to produce a "protocol revenue exceeding one hundred million" unicorn? Is it compute rental, data marketplace, or AI agents?
— If this article makes you rethink your allocation logic, share it with brothers still fighting in meme coins. Perhaps this is the starting point of your wealth gap in 2026.
Follow us for the next in-depth analysis: When the Fed’s unlimited repurchase tool (SRP) connects with the crypto market, how will $5 trillion in traditional liquidity reshape DeFi’s interest rate system?#加密行情预测 $DOGE
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Wall Street has issued a VIP card for Dogecoin, but smart money is smuggling AI mining rigs
The $17 million first-day trading volume of the DOGE ETF is just a stepping stone; the real wealth transfer is happening at the data layer
If September 2025’s listing of DOJE is the highlight of the crypto market, it is also a brutal disillusionment ritual—when "joke assets" put on suits and walk into the NYSE, people realize: the frenzy driven by emotion is as fragile as a bubble under the microscope of institutional funds.
What I am paying attention to is another event happening in the same period: the total market cap of AI concept tokens quietly grew by 210% in Q4, with the TVL (Total Locked Value) of compute infrastructure projects soaring by 470%. This is not divergence; it’s capital voting with its feet.
01 DOGE ETF Paradox: Compliance ≠ Resilience
On December 9, OCC (Office of the Comptroller of the Currency) just allowed banks to conduct "risk-free principal transactions," theoretically injecting hundreds of billions of dollars of liquidity into the market. But in reality, the 38% plunge in DOGE after the ETF listing proves that compliance only solves the question of "can we buy," not "is it worth holding."
Yale professor Shiller’s research reveals a harsh truth: narrative-driven assets face a "double kill" during liquidity crises—they must endure both market sentiment downturns and valuation collapses due to lack of intrinsic value. The $13 billion market cap of DOGE evaporating is not Wall Street’s betrayal but a return to market laws.
The deeper issue is that the DOGE ETF adopts a 1940s legislation structure, essentially a "packaging game." It bypasses custody requirements but doesn’t solve the fundamental contradiction: how can an asset priced based on Musk’s tweets meet institutional risk control standards?
02 The Invisible Fortress of AI Tokens: From Narrative to Cash Flow "Thrilling Leap"
As DOGE is sold off in panic, the strength of the AI sector reveals the core evolution of the 2025 crypto market: the value anchor shifts from "community consensus" to "protocol revenue."
2024 venture capital data shows 31% of funds flowing into AI, but this is only superficial. The real key is that starting in Q3 2025, some AI protocols are generating real income:
• Decentralized compute rental platforms achieve a gross margin of 58%, comparable to traditional cloud providers
• Protocol revenue in AI model marketplaces grows 300% quarter-over-quarter, with developer payment willingness exceeding expectations
• Token consumption speed in data annotation networks surpasses new issuance, entering a deflationary cycle
This is fundamentally different from DOGE: the value support for AI tokens is no longer "the next bag-holder," but the monthly compute bills paid by enterprise clients.
03 Why is AI the "Next Menu" for Wall Street? Three Key Evidence
Evidence 1: Transferability of Valuation Models
Traditional tech stock valuation methods—from chips to applications—can be directly applied to the AI sector. Institutional analysts don’t need to learn "decentralization" philosophy; they can use DCF models to derive reasonable prices. The lowered cognitive threshold accelerates capital inflow.
Evidence 2: Certainty of Policy Bonuses
In 2025, the US government will incorporate "AI + manufacturing" into the national strategy, with decentralized compute services appearing on the federal procurement list for the first time. When policy shifts from "regulation" to "procurement," it means AI protocols gain government procurement bonuses similar to early cloud computing. This endorsement is something DOGE will never get.
Evidence 3: Performance Validation Critical Point
A hallmark moment occurs in October 2025: an AI data analysis protocol’s quarterly revenue surpasses $50 million, with clients including two S&P 500 companies. This is the first vertical sector in crypto to achieve "institutional-level revenue." When protocol income covers token incentive costs, the entire economic model evolves from a Ponzi structure to a positive cycle.
04 My Strategy: Collect "Digital Oil" at the Emotional Bottom
After three bull-bear cycles, my core operating rule is:
1. Establish a "Value-Emotion" Tipping Point Indicator
When the crypto Fear & Greed Index drops below 10 (extreme fear), and AI protocol revenue has grown for 30 consecutive days, it’s a signal to heavily allocate. Divergence between market sentiment and fundamentals often yields the greatest alpha.
2. Distinguish "Pseudo-AI" from "Real Revenue"
99% of AI tokens are just riding the coattails of concepts. I only focus on one indicator: whether on-chain protocol revenue exceeds token inflation rate. Currently, fewer than 7 projects meet this standard.
3. Profit Reinvestment "Dual Circulation"
Profits earned from AI tokens are split: 50% withdrawn and locked, 30% reinvested into BTC/ETH core holdings, and 20% invested in earlier-stage AI infrastructure. Forming a closed loop of "value capture—risk isolation—ecosystem reinvestment."
Epilogue: Compliance is the Medicine, Value is the Principal
The $17 million trading volume of the DOGE ETF is essentially Wall Street testing the carrying capacity of "narrative assets." The 210% market cap growth of AI tokens proves the market is rewarding "digital oil" capable of generating cash flow.
The wealth story of 2026 will not belong to packaged emotions but to infrastructure that can grow revenue muscles. When OCC opens the crypto gates for banks, the first to rush in will not be retail investors but AI protocol business development teams with compliance audit reports.
Which vertical in the AI sector do you think will be the first to produce a "protocol revenue exceeding one hundred million" unicorn? Is it compute rental, data marketplace, or AI agents?
— If this article makes you rethink your allocation logic, share it with brothers still fighting in meme coins. Perhaps this is the starting point of your wealth gap in 2026.
Follow us for the next in-depth analysis: When the Fed’s unlimited repurchase tool (SRP) connects with the crypto market, how will $5 trillion in traditional liquidity reshape DeFi’s interest rate system?#加密行情预测 $DOGE