Fundstrat Global Advisors analyst and BitMine Immersion (BMNR) chairman Tom Lee has set hyperbullish price targets for both Bitcoin and Ethereum, predicting gains that would fundamentally reshape the global financial landscape.

Lee argues that Bitcoin could eventually reach $2 million per coin, a figure derived from comparing Bitcoin’s current market capitalization to that of gold.

Gold currently holds a market cap of approximately $28 trillion, which is nearly 28 times the present market cap of Bitcoin, making the $2 million price target a function of parity math rather than pure speculation.

Bitcoin is currently priced at around $64,000, meaning Lee’s $2 million target would represent a gain of more than 3,000% from current levels.

On the Ethereum side, Lee has suggested the asset could reach $250,000, a target he ties to what he describes as a new “ETH 2.0” phase that he believes would support a significantly higher valuation for the network.

For either prediction to materialize, the global financial system would need to undergo a near-complete transformation, with Ethereum’s blockchain becoming foundational infrastructure and Bitcoin displacing physical gold as a preferred store of value.

Lee has received considerable pushback from analysts and investors skeptical of his ultrabullish forecasts, with critics pointing to current market sentiment around crypto as a significant headwind.

The targets also assume that capital would flow out of traditional financial assets at scale and into digital assets, a shift that many institutional investors and policymakers have shown little appetite to accelerate.

While Lee’s projections generate attention, some market observers argue that the era of Bitcoin and Ethereum delivering consistent, year-over-year explosive gains may already be behind the market rather than ahead of it.

Whether or not Lee’s targets prove accurate, the debate around crypto valuations reflects a broader and ongoing tension between long-term digital asset optimism and the reality of a maturing, sentiment-driven market.