Anthropic在周一提交了其热门预期的IPO peopleus，在公开首映前详细列出公司的部分业务，策略和风险简介。 虽然称为S-1的档案长达几百页，但有一些明显的遗漏——即某些财务数字。
“Claude公司在历史上采用任何技术的速度都最快，2023年第一季度商业发布公司的收入从0.美元增加到2026年9月30日终了的三个月的。美元，就说明了这一点。”
公司在S-1文档中编辑某些信息是比较常见的，证券交易委员会的规则允许对这种做法给予某种程度的宽大处理，特别是在涉及被认为是“机密”的信息时。
然而，了解这些公司究竟决定不参与哪些活动是有助益的。 在Anthropic案中，缺失的细节主要围绕9月底缔结的最近季度的财务，以及与其计算投资有关的租赁协议。 虽然专家期望在Anthropic公开之前会披露出许多细节，但他们目前的缺失可能暗示对人工智能投资的不确定性，因为公司正在努力确保足够的计算。
Anthropic没有答复征求意见的请求。
水牛城管理学院的大学会计和法律教授Michael Dambra告诉WIRED，其第三季度的数字缺席有“实际原因 ”: 9月30日是几周前，以及“关闭如此规模的公司需要时间 ”。
公司也可以对注册报表中的错报承担责任，“因此，在充分审查之前，有强烈的动机不公布数字，”Dambra 称。 证监会规则要求，“Anthropic需要更新第三季度财务的备案情况”，如果公司在11月中旬左右上市，他就是称。
至于数据中心租赁协议，扬斯敦国立大学会计教授Erica Neuman(称)说，公司从 " 合同展品 " 中编辑机密细节是 " 不寻常的 "，其中可包括租赁条款。
然而，Neuman 新增认为值得仔细审查Anthropic的修改是否会阻止或使投资者更难分析Anthropic的财政义务以及它们是否会影响公司的现金流量。
Anthropic的许多财政义务涉及计算，根据S-1，这是 " 我们企业中最重要的业务费用 "。 这对公司来说也是商业风险，(AI行业的部分内容一直警告芯片限制可能会使AI的进步放缓。
Anthropic的Projectus更强调过度投资的风险，指出公司需要预先投资计算出来的资源，乍一看，这些资源似乎“不负责任地巨大”。
芯片，Anthropic解释，被作为来自多个战略伙伴的"单一，可互换的集合"处理，包括Amazon,Google,Nvidia和AMD. 指出公司签订合同，“承付的开支总额超过。.....美元，基本上全部与计算和基础设施有关”。 其中一些合同定于2030年12月前完成，而另一些合同可能延长到2045年。
尽管Prespectus触及Anthropic由于土地和电力资源有限等因素造成的计算不确定性，但Moor Insights & 战略首席分析师Patrick Moorhead认为投资者欠的更多细节。
“这是针对每个地区的概率和影响。 Anthropic欠投资者更多的信息，如这些个别问题的概率，是百分率机会和影响程度的特征，"他告诉了WIRED. " `不可能产生实质影响'。 "
Anthropic的确在脚注中提供了一些捕眼估计。 自2025年12月31日以来，它已开始或修订了“计算和基础设施”租约，其“未来最低付款义务”总额约为4 170亿美元。 自6月30日起，它又增加了2,450亿美元的未来支付义务，都与基础设施协议有关。 它还扩大了“某些现有商业协定”，说明“尚未最后敲定”，即增加1 250亿美元至1 500亿美元。
包括“短期”协议，其中包含“最低不可撤销付款”,Anthropic 称，这是另外210亿美元。 如果完成所有这一切，估计总共至少将欠8 080亿美元。
Ben Bajarin是Creative Strategy公司的首席执行官兼首席分析师
尽管S-1的校正很常见，但Dambra却将其描述为"有争议". 质疑者指责他们使用“机会”的校正来“避免披露政治或社会敏感信息 ”。
然而，Dambra认为，编辑信息可能要付出代价。 他的指出认为，在S-1中进行修改的公司在初次公开报价时也更有可能“低价”其股票。
当公司在S-1、Dambra 称中编辑信息时，了解投资者会用“怀疑”来弥补这一差距，公司可能觉得倾向于通过设定较低的起价来“诱导”他们参加投资促进办事处。
Anthropic的开盘价格到底会是什么，但根据Bajarin的说法，整个AI产业是“空白”的一种形式，所以，是的，这都是个风险。
称认为“我们很早就在企业中采用每年超过3万亿美元并可能增长的AI市场
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Anthropic filed its hotly anticipated IPO prospectus on Monday, spelling out parts of the company’s business, strategy, and risk profile ahead of its public debut. Though the filing, known as an S-1, is several hundred pages long, it has some notable omissions—namely, certain financial figures.
“Claude has experienced the fastest enterprise adoption of any technology in history, as demonstrated by revenue growing from $0 at commercial launch in the first quarter of 2023 to $_____ for the three months ended September 30, 2026,” reads the first of dozens of such examples.
It’s relatively common for companies to redact certain information in their S-1 filings, and Securities and Exchange Commission rules allow for a certain degree of leniency around the practice, particularly when it comes to information considered “confidential.”
Still, it’s helpful to know what, exactly, these companies decide to leave out. In Anthropic’s case, the missing details largely revolve around financials for its most recent quarter, which concluded at the end of September, and lease agreements tied to its compute investments. While experts expect many details to be disclosed before Anthropic goes public, their current absence may hint at the uncertainties of investing in artificial intelligence, as companies work to secure sufficient compute.
Anthropic did not respond to a request for comment.
Michael Dambra, accounting and law professor at University at Buffalo School of Management, tells WIRED that there are “practical reasons” for its third quarter numbers to be absent: September 30 was only a few weeks ago, and “closing the books for a company of this size takes time.”
Companies can also be liable for misstatements in their registration statements, “so there is a strong incentive not to publish numbers before they have been fully vetted,” Dambra says. SEC rules require that “Anthropic would need to update the filing with third-quarter financials” if the company goes public any later than about mid-November, he says.
As for data center lease agreements, Erica Neuman, an accounting professor at Youngstown State University, says it’s “not unusual” for companies to redact confidential details from “contract exhibits,” which could include lease terms.
However, Neuman adds that it’s worth scrutinizing whether Anthropic’s redactions would prevent, or make it more difficult, for investors to analyze Anthropic’s financial obligations and whether they may impact the company’s cash flow.
Many of Anthropic’s financial obligations relate to compute, which is the “most significant operating cost in our business,” according to the S-1. It’s also a business risk for the company, and it’s laid out both in terms of undersupply and overinvestment. (Parts of the AI industry have been warning that chip constraints could slow the progress of AI.)
Anthropic’s prospectus puts more emphasis on the risks of overinvestment, stating that the company needs to make forward investments in compute resources that will seem “irresponsibly large” at first glance.
Chips, Anthropic explains, are approached as a “single, fungible pool from multiple strategic partners,” including Amazon, Google, Nvidia, and AMD. The company notes that it has entered into contracts “with an aggregate committed spend of more than $____, substantially all of which is related to compute and infrastructure.” Some of these contracts are set to be completed before December of 2030, while others may extend through 2045.
Though the prospectus touches on Anthropic’s compute uncertainties due to factors like limited land and power resources, Patrick Moorhead, CEO and chief analyst at Moor Insights & Strategy believes investors are owed more detail.
“It’s about characterizing the odds and impact individually across each of the areas. Anthropic owes investors more information, such as a probability of these individual issues, characterizing the percentage chance and the degree of the impact,” he tells WIRED. “Not ‘could materially impact.’”
Anthropic does provide some eye-catching estimates in footnotes. Since December 31, 2025, it has started or amended “compute and infrastructure” leases with “future minimum payment obligations” worth approximately $417 billion in aggregate. Since June 30, it’s added another $245 billion to its future payment obligations, all related to infrastructure agreements. It also expanded “certain existing commercial agreements” that it caveats “have not yet been finalized,” for an additional $125 billion to $150 billion.
Include “short term” agreements with “minimum non-cancelable payments,” Anthropic says, and that’s another $21 billion. In total, it will owe, at minimum, an estimated $808 billion if it follows through on all of this.
Ben Bajarin, chief executive and a principal analyst at Creative Strategies who tracks the chip industry, says that this is likely just the first draft of Anthropic’s prospectus, and that he expects a lot of gaps to be filled in an updated version.
Despite how common S-1 redactions are, Dambra describes them as “controversial.” While companies may argue that they’re “protecting proprietary information,” Dambra says that skeptics accuse them of using redactions “opportunistically” in order to “avoid disclosing politically or socially sensitive information.”
However, Dambra argues that redacting information may come at a cost. He notes that companies with redactions in their S-1s were also more likely to “underprice” their shares at the initial public offering.
When companies redact information in their S-1, Dambra says they typically understand that they’ve created an “information gap” between them and outside investors. Understanding that investors will treat this gap with “suspicion,” companies may feel inclined to “entice” them to participate in the IPO by setting a lower starting price.
It’s unclear what Anthropic’s opening price may end up being, or how investors may be interpreting the redactions in the company’s S-1. But according to Bajarin, the whole AI industry is one form of “blank” or another when it comes to crunching the numbers based on access to chips and infrastructure right now. So, yes, it’s all a risk.
“All of this,” he says, “just shows how absurdly early we are in enterprise adoption of an AI market that will be more than $3 trillion yearly and likely growing.”
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