Anthropic在周一提交了其热门预期的IPO Projectus，在公开首播前详细列出了公司的部分业务，策略和风险简介。 虽然称为S-1的档案长达数百页，但有一些明显的遗漏——即某些财务数字。
“Claude公司采用任何技术的速度是历史上最快的，2023年第一季度商业发布公司的收入从0美元增长到2026年9月30日终了的三个月的美元，就是证明。”
比较常见的是，公司在S-1文档中编辑某些信息，证券和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，特别是在被视为“机密”的信息方面。
不过，了解这些公司究竟决定回避什么是有用的。 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和与其计算投资有关的租赁协议。 虽然专家期望在Anthropic公示之前会披露许多细节，但是他们目前没有披露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。
Buffalo管理学院大学会计和法律教授Michael Dambra告诉WIRED说，第三季度的数字缺席有“实际原因 ”: 9月30日才几周，“为这样一个规模的公司关闭书籍需要时间。”
公司也可能对注册报表中的错报负责，“因此，在充分审查数字之前，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资料”，如果公司在11月中旬左右公布，他就是称。
至于数据中心租赁协议，扬斯敦州立大学会计教授Erica Neuman 称公司从 " 合同物证 " 中编辑机密细节是 " 不寻常的 "，这可能包括租赁条款。
然而，Neuman 新增认为应该仔细审查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行业部分人士一直警告芯片限制可能会延缓AI的进步。
Anthropic的Protectus更强调过度投资的风险，指出公司需要对计算出来的资源进行远期投资，乍一看看，这些资源似乎 " 不负责任 "。
Anthropic解释道，芯片被作为来自多个战略伙伴(包括Amazon,Google,Nvidia，和AMD)的"单一，可互换的集合"处理。 指出公司签订的合同“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，而其他合同则可能延长至2045年。
尽管Prespectus触及到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WIRED. " 不`可能造成重大影响 '。 "
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，它已开始或修改“计算和基础设施”租赁，“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2,450亿美元的未来付款义务，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”，增加1 250亿美元至1 500亿美元。
包括“短期”协议，其中“最低不可撤销付款”为Anthropic 称，另外还有210亿美元。 如果完成所有这一切，它至少将估计欠8 080亿美元。
Ben Bajarin是Creative Strategy的首席执行官兼主要分析师
尽管S-1的修改很普遍，但Dambra却将其描述为“有争议的”。 尽管公司可能认为自己是“保护专有信息 ”，但Dambra 称怀疑者指责他们使用“机会”的删节来“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。 他指出说，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，了解投资者将用“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始价格来“诱导”他们参加国际投资促进组织。
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，因此，是的，这都是个风险。
称指出，“我们很早就在企业中采用一个每年超过3万亿美元且可能增长的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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