I noticed an interesting point — Thomas Lee, a well-known strategist from Wall Street, is increasingly taking Ethereum seriously. And this is not just speculation, but a conscious stance from a guy who predicted the market recovery after the pandemic earlier than others.



For context: Thomas Lee graduated from Wharton, worked at JPMorgan as the chief equity strategist, and then founded Fundstrat Global Advisors — a serious research institution. He was the first among Wall Street analysts to include Bitcoin in asset valuation frameworks, back in 2017, providing a framework that Bitcoin could replace gold.

But what really draws attention is that in 2025, Thomas Lee took the helm at BitMine Immersion Technologies and shifted the company's focus from Bitcoin mining to an Ethereum accumulation strategy. According to his calculations, the holdings exceed 833,000 ETH, which at current prices is about 3 billion dollars.

Why such a turn? Thomas Lee sees Ethereum as a macroeconomic trading opportunity for the next 10-15 years. Here’s his logic: the stablecoin market has already surpassed 250 billion dollars, and more than half of it is issued on the Ethereum network. This generates a significant portion of network fees. If the market grows to 2-4 trillion dollars, as Thomas Lee forecasts, then network usage and revenue will scale accordingly.

Add to this the merging of traditional finance and AI — Ethereum as a smart contract platform is becoming a key infrastructure for asset tokenization and fintech. This is no longer just a crypto topic; it’s infrastructure for connecting two worlds.

Institutional players are also beginning to understand this. Wall Street is not just trading Ethereum but entering the ecosystem through staking — this resembles more a long-term position management than speculation.

The model Thomas Lee applies through BitMine is essentially a ‘micro-strategy’ for ETH accumulation, increasing net asset value through issuance and staking income. An interesting move for a guy who has always relied on data and fundamental analysis.
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