Tom Lee Uses BlackRock’s Bitcoin Report to Pitch Ethereum as AI’s Verification Layer
Tom Lee, chairman of Bitmine Immersion Technologies, mentioned BlackRock’s new Bitcoin report reinforces the case for Ethereum (ETH). He pointed to synthetic intelligence (AI) and robotics as the explanation.
BlackRock’s paper, referred to as “Re-Underwriting Bitcoin,” examined Bitcoin’s greater than 50% decline from its October 2025 high. It mentioned capital had rotated into AI-themed fairness funds as a substitute.
What Lee Argued
Lee, who additionally co-founded Fundstrat, wrote on X that AI capabilities are advancing alongside a steep S-curve. He mentioned latest analysis factors to AI programs creating a type of collective coordination.
Blockchains and sensible contracts, he argued, maintain people concerned in overseeing that conduct. He prolonged the identical logic to robotics, citing a video of a robotic outperforming human athletes.
In the identical submit, Lee referred to as Ethereum a very powerful base layer, or “L1.” The time period describes the foundational community that different blockchain purposes depend on.
“we see $ETH as an necessary downstream story for AI”
Where the Case Gets Thin
But BlackRock’s report by no means mentions Ethereum, robotics, or blockchain verification of AI programs. Instead, its authors body AI-linked fairness funds as competitors for capital, not a use case for sensible contracts.
Still, Lee’s framing goes additional than the report itself. BlackRock hyperlinks Bitcoin’s pullback to leverage and shifting fund flows, not a change in Bitcoin’s position as a financial hedge.
This isn’t the primary time Lee has tied Ethereum to the AI trade. Bitmine holds about 4.8% of Ethereum’s circulating provide, making Lee one of many asset’s largest institutional stakeholders.
That place provides Lee a transparent monetary incentive to hyperlink Ethereum to main crypto narratives, together with Bitcoin’s own investment case.
Ethereum trades close to $1,908 as of Aug. 19, 2026, in accordance to CoinGecko data. Whether Lee’s AI-and-robotics framing positive aspects wider traction could rely on concrete examples of blockchains verifying autonomous programs in apply.
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