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hot_img The five major tech giants have not started their data center leasing commitments, accumulating a total of $1.09 trillion, which is nearly four times their confirmed liabilities

According to an analysis by Reuters of LSEG data and company filings, Microsoft, Meta, Oracle, Amazon, and Alphabet have committed to future payments of approximately $1.09 trillion in uncommenced lease obligations, primarily for AI data centers, which is about four times their confirmed lease liabilities (approximately $285 billion). These commitments have not yet been included on the balance sheet but have been disclosed in the notes to the financial statements. Among them, Microsoft disclosed the largest amount, reaching $329.1 billion; Meta disclosed $278.99 billion and signed an additional $68 billion in new leases in July; Oracle disclosed $260 billion, nearly seven times its confirmed liabilities, with lease terms generally ranging from 15 to 19 years, and the company has warned that it may face risks if customers do not renew or are unable to fulfill their obligations; Alphabet and Amazon disclosed $85.2 billion and $137.21 billion, respectively.The analysis points out that if the demand for AI computing power continues to grow, these facilities will support the next phase of cloud business expansion; if demand falls short of expectations, companies may be forced to pay high costs for large amounts of long-term idle capacity. S&P Global Ratings has included the uncommenced leases of companies like Oracle in its adjusted debt forecasts. This data highlights the potential long-term financial pressure that the expansion of AI infrastructure brings to tech giants.

hot_img Analyst: OpenAI and Anthropic may account for over 70% of the AI revenue of the three major cloud vendors, highlighting the concentrated risk in data center investments

According to technology analyst Ed Zitron, citing estimates from institutions such as Barclays, UBS, and Wells Fargo, Microsoft, Google, and Amazon, the three major cloud providers, may see over 70% of their AI revenue coming from OpenAI and Anthropic. Specifically, Barclays analyst Ross Sandler estimates that about 73% of Amazon AWS's AI revenue in 2026 will come from these two companies; UBS analyst Stephen Ju estimates that approximately 28% of Google Cloud's revenue in 2026 and over 48% in 2027 will come from them; Wells Fargo estimates that about 23% of Microsoft Azure's revenue in FY2026 and about 35% in FY2027 will come from these two AI labs.The analysis indicates that AWS's AI revenue in 2026, excluding OpenAI/Anthropic, is expected to be only about 8.5 billion dollars, while Amazon's capital expenditure for that year is expected to reach 220 billion dollars. Google's Vertex AI platform revenue in 2026 is expected to be about 28.3 billion dollars, but during the same period, the computing power expenditure for OpenAI and Anthropic is expected to exceed 35.6 billion dollars. Microsoft's AI revenue in FY2026 is about 34.5 billion dollars, with capital expenditure during the same period of about 115.9 billion dollars. This analysis has raised market concerns about the overbuilding of AI data centers and the sustainability of demand, questioning whether the three major cloud providers should disclose customer revenue concentration risks more transparently. Currently, Microsoft, Google, and Amazon have not publicly responded to this.

hot_img Establish a model within Jumpspace Stars and two major strategic lines for the terminal, with the mobile business operating independently and expanding overseas

According to reports from Huxiu Technology, Jieyue Xingchen is advancing along two strategic lines: one centered around large models, and the other focused on intelligent terminal devices. The mobile phone business has been placed under the independent company "Zhiyue Xingchen," operated by a team with backgrounds in Huawei and Honor, led by terminal president Ni Jiayue. Jieyue's first intelligent terminal phone STEPX Neo was unveiled during WAIC, but the price and mass production schedule have not been announced. Huxiu has learned that Jieyue is building an overseas commercialization team, planning to sell large model APIs (primarily voice models) overseas, and mobile phones will also be included in the overseas sales plan.Jieyue Xingchen's chairman Yin Qi previously attempted the "AI + car" path at Qianli Technology (formerly Lifan Technology), and this time, using mobile phones as the first piece of the terminal strategy aims to establish a closed-loop system of "model---operating system---terminal." The phone is equipped with the Step AOS intelligent terminal operating system, positioned as a carrier for intelligent terminal services, with the business model ultimately returning to Token consumption. Jieyue also maintains model collaborations with 60% of top domestic mobile phone brands, with existing installations exceeding 42 million units, but the potential competitive relationship with its own mobile phone business remains unclear. As of the time of publication, Jieyue Xingchen has not commented.
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