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Tom Lee: Asset tokenization and Agentic AI may trigger a new round of ETH price increase

According to PRNewswire, Tom Lee, Chairman of the Bitcoin treasury company Bitmine, stated that during historical cryptocurrency bull market cycles, the ETH/BTC ratio typically rises as Ethereum's usage increases compared to Bitcoin, such as during the NFT boom of 2020-2021 and the stablecoins of 2025, both of which have been significant catalysts for the growth of Ethereum applications. In the next cycle, Wall Street's tokenization of assets and deployment on the blockchain, along with the use of Agentic AI on the blockchain, may further drive the ETH/BTC ratio higher.Since the third quarter of 2026, ETH has been the best-performing macro asset, outperforming the S&P 500 index by 5430 basis points as of last Friday; the three best-performing asset classes since June 30 have been ETH, BTC, and SOL, with cryptocurrency assets showing significant outperformance compared to other macro assets so far in the third quarter, which is expected to further attract institutions to increase their allocation to cryptocurrency assets.Tom Lee added that as we enter the last few months of 2026, the crypto market faces several positive catalysts, including the anticipated vote on the CLARITY Act in mid-September, South Korean investors re-entering the crypto market and shifting from AI stocks to cryptocurrencies, and what he believes will be a bottoming out of the "four-year cycle" in the coming weeks. These factors may pave the way for a large influx of institutional funds in the last few months of 2026.

Tom Lee: Nvidia's valuation is still relatively low, and the weakness in some AI stocks may be due to funds shifting towards Nvidia

BitMine Chairman Tom Lee stated on CNBC that after Nvidia announced strong performance, its stock price rose, breaking the previous trend where positive earnings reports struggled to drive stock prices, indicating that investors still value the company's fundamentals. Software stocks like Salesforce, CrowdStrike, and Okta also strengthened, reflecting a positive market response to downstream AI transactions, with an overall healthy market reaction.Regarding the weak performance of AI-related stocks such as Meta, Amazon, Alphabet, AMD, and Micron, Tom Lee believes that some investors may have previously underweighted Nvidia and might need to sell other tech stocks to raise funds for increasing their Nvidia holdings. He pointed out that Nvidia's earnings expectations have been significantly raised, but the stock price has not fully caught up, and the price-to-earnings ratio is still contracting, with the current valuation remaining relatively low.Tom Lee also mentioned that data center construction is gradually becoming a political issue in the U.S. midterm elections. Even some Republican-led states and states supporting data center development are beginning to consider pausing related projects, which may be one reason for the recent poor performance of AI infrastructure-related stocks, with more funds shifting towards downstream AI targets.
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