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The AI Bubble Monitor is a tool tracking indicators and metrics related to potential overvaluation in the AI market.
Anthropic's Q3 revenue reportedly reached $16.8B, but monthly growth flattened between July and September, signaling a meaningful slowdown that could temper IPO expectations and pressure AI compute providers like CoreWeave.
一篇政策评论文章呼吁SEC阻止Anthropic的IPO，指出其约9000亿美元的支出承诺、未审计的财务状况以及AI行业普遍的循环交易和财务工程问题，认为普通投资者和退休人员将承担风险。
MIT Technology Review's daily newsletter covers the rise of the agentic web driven by AI agents, efforts to eliminate traffic deaths, and a $1 trillion tech selloff deepening fears of an AI bubble.
A discussion questioning whether AI revenue is underestimated by comparing software spending against labor cost savings, suggesting $200/month per employee could be justified by modest workforce reductions, making AI a potential trillion-dollar industry.
讨论AI股票大幅回撤（Alphabet单日跌约12%、AI ETF从夏季高点回落约15%）后，如果泡沫破裂会对AI技术本身产生什么影响，并类比互联网泡沫的结局向业内人士征求意见。
A Chinese-language in-depth opinion piece exploring whether AI has truly created incremental value. Drawing on the recent sharp selloff in US equities (Intel down 28.6%, Google down 12.6%, Reddit down 29%) alongside rising hardware prices, collapsing token prices, and disappearing traffic, the author argues that AI is destroying value by making intelligence no longer scarce, and believes we are on the eve of an AI bubble bursting, with companies like ByteDance and Microsoft reinvesting nearly all of their profits into AI infrastructure.
US tech stocks fell sharply for a second consecutive day as investors grew worried about massive AI spending nears $1tn, with Intel plunging 30% and Alphabet losing over $500bn in market value amid concerns of an AI bubble.
Theranos whistleblower Tyler Shultz warns that the AI boom echoes Theranos-style deception, urging investors to demand real due diligence before funding companies with trillion-dollar valuations but no profits.
这篇评论文章质疑 Perplexity AI 在被 Gemini 等竞争对手全面超越的情况下，仍能维持 220 亿美元估值的合理性，称其不过是一个被高估的包装器，并指出其面临多起诉讼，估值攀升是 AI 泡沫的证据。
The developer of the open-source Observer project shares a video arguing that local AI model advancements will persist even if the AI bubble bursts, promoting their YouTube channel for more local AI content.
纽约邮报专栏文章将当前AI热潮与2000年互联网泡沫相提并论，预测AI股票即将迎来类似的历史性市场修正和投资者损失。
Gergely Orosz 指出 Anthropic 作为一家仅成立 5 年的公司，其营收已超过 Salesforce、SAP、ServiceNow 等运营数十年的老牌企业，且没有放缓迹象，引发关于 AI 是否存在泡沫的讨论。
A commentary highlighting Prof. Van Nieuwerburgh's research that AI data centers require at least $3.5 trillion in annual revenue to service their debt, raising doubts about whether OpenAI, Anthropic, and others can generate returns fast enough to avoid a bubble.
推文讽刺那些仅用过免费版ChatGPT就断言AI是泡沫的人，将其比作只坐过高尔夫球车就评价整个汽车工业。
An animated explainer breaking down where Big Tech's ~$800 billion AI spending actually goes, arguing that GPU depreciation (~$60 of every $100) — not electricity (~$7) — is the real cost of running AI data centers, and questioning whether the AI boom can pay off before a 2000-style fiber bubble repeats.
'Big Short' investor Michael Burry is raising his timeline for an AI market crash, expanding short positions with put options on Nvidia, Palantir, Oracle, and the Nasdaq 100, arguing that heavy AI spending and circular dealmaking could cause the bubble to burst within a year.
A veteran self-taught computer user argues that while an AI financial bubble may burst, the underlying technology is a once-in-a-lifetime advancement that is here to stay, citing personal gains from tools like Claude Code and AI-assisted development.
The article argues that the AI bubble could burst without AI failure due to competition from cheaper models and cost-reduction techniques like distillation, which may erode profits from large industry spending.
An analysis from Grok highlights risks of an AI bubble due to cost disadvantages, security-driven preferences for open models, and circular financing, suggesting potential for significant capital destruction.