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Berkshire CEO: Plans to hold long-term stakes in Japan's five major trading companies, AI data centers bring energy opportunities

Berkshire Hathaway CEO Greg Abel stated in an interview with CNBC that the company plans to hold its stakes in Japan's five major trading companies as a long-term investment, expecting to hold them for decades. Currently, Berkshire holds over 10% of shares in each of the five major trading companies and is continuously exploring other cooperation opportunities in Japan and overseas with these enterprises. Abel also mentioned that despite the 10-year Japanese government bond yield rising to about 3%, the five major trading companies do not view the rise in interest rates as a fundamental challenge, and Berkshire still plans to issue yen bonds as needed.Regarding AI investments, Abel stated that the rapid development of artificial intelligence and the practical applications of AI by Berkshire's subsidiaries are among the important reasons for the company's optimism about Alphabet. On the construction of AI data centers, he believes that energy supply and related infrastructure development remain major constraints, which also presents significant opportunities for Berkshire and Berkshire Energy. Abel pointed out that the company is willing to provide energy services for large tech companies' data centers, but on the condition that it does not harm the interests of other customers and should bring net benefits to the local community.In terms of the U.S. housing market, Abel stated that Berkshire takes a long-term view of the housing industry, believing that the "American Dream" will continue, but there will not be a rapid recovery in the short term, and the industry may still face fluctuations for some time. Regarding the overall economy, he noted that most of Berkshire's large businesses performed strongly as of the second quarter, with demand still robust, but American consumers are under significant pressure and need to be more cautious in managing their income; overall, the economic fundamentals that Berkshire currently sees remain "very strong."

Analysis: Bitcoin is experiencing its first hash rate bear market, highlighting the opportunities for large mining companies to scale up mining

Rapha Zagury, CEO of Twenty One Capital and founder of Elektron Energy, stated during his speech at Bitcoin Asia 2026 that the Bitcoin network is experiencing its first-ever bear market in hashrate. The hashrate of the Bitcoin network was close to 1.3 ZH/s at the end of last year, but has since been slowly declining, with the duration of this decline from the historical peak now setting a record. Zagury believes that Bitcoin mining is not simply a "good business" or "bad business"; it largely depends on where the mining company stands on the cost curve. Mining companies with lower energy costs and higher machine efficiency can maintain higher profit margins, while those with high energy costs and low equipment efficiency may be forced to shut down.Currently, while the Bitcoin hashrate price has improved compared to before, it is still at a relatively low level when measured against historical standards. When the price of Bitcoin rises faster than the growth of the network's hashrate, mining is more likely to outperform BTC. For companies, he believes that the best risk-adjusted allocation is not simply choosing to "buy BTC" or "mine," but rather a combination of both; however, if only $1 can be allocated, he suggests prioritizing the purchase of BTC. Regarding energy issues, Zagury stated that energy consumption itself does not imply waste; energy is the foundation of economic development and human progress. He believes that one of the greatest characteristics of Bitcoin mining is its highly flexible load, as mining machines can quickly turn on and off based on energy supply, thus helping the grid absorb idle or surplus electricity and enhancing grid stability to some extent. Additionally, he believes that Bitcoin mining is generating "option value" that was not previously apparent, including aspects such as energy utilization, market share, proximity to the Bitcoin protocol, and infrastructure. With the growing demand for AI and high-performance computing (HPC), the existing energy and data center infrastructure of mining companies may also gain additional application scenarios such as AI computing power. Currently, among large publicly listed mining companies, there are fewer and fewer that can continue large-scale Bitcoin mining, and the industry is at a critical stage where the energy revolution intersects with the Bitcoin revolution.

first_img Tomasz Tunguz: AI infrastructure exhibits a long tail effect, with bottlenecks gradually transmitting and driving up costs

Venture capitalist Tomasz Tunguz pointed out that the narrative of AI infrastructure resembles a slow relay race, with bottlenecks sequentially transmitting from GPUs to memory, CPUs, and storage, each link freezing the supply chain of the next for years and locking in higher baseline costs. At the beginning of 2023, the GPU shock caused H100 rental prices to exceed $9 per hour, and server shipments fell by 22%; subsequently, manufacturers shifted capacity to HBM, leading to an 80% quarterly increase in enterprise SSD prices and over a 60% rise in DRAM.By the end of 2025, the workload of intelligent agents will push the CPU to GPU ratio to about 1:1, with the average price of server CPUs rising by 27% year-on-year; in 2026, nearline HDD annual capacity will be sold out. The construction cost of data centers has risen to about $20 billion per gigawatt, with orders for long-cycle equipment such as transformers and turbines scheduled as far out as 2029 to 2031.Tunguz referred to this as the long whip effect in the hardware sector: years of manufacturing delays amplify downstream demand shocks upstream, and when pressure is relieved at a certain bottleneck, it will be delayed in transmitting to the next link, with transformers scheduled for delivery in 2027 to 2028, NAND wafer fabs, and turbine production lines potentially facing the risk of overcapacity.
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