· 供应链分析

博通财报后AI板块抛售是误解造成的买入机会,新云板块中OpenAI依赖股除外

涉及标的:

中文翻译

博通[$AVGO]业绩及其对AI板块的影响,如$LIITE和$NBIS: 博通的业绩"双重超预期",营收$180.2亿(+28% Y/Y),EPS $1.95,超出共识预期。 但AVGO下跌-11.64%,并拖累了整个AI板块。 这是买入机会吗? 是的。 博通被视为超大规模云厂商ASIC代理增长的代表,因为亚马逊$AMZN Trainium、微软$MSFT Maia、尤其是谷歌$GOOGL TPU V7 Ironwood都通过它进行规模化部署。 而像$ALAB(-13.2%)、$CRDO(-5.11%)、$LITE(-12.23%)、$TSM(-3.71%)、$COHR(-9.25%)等公司都是TPU/ASIC建设以及博通作为公司的直接受益者。 博通下跌有三个原因,市场下跌有一个原因: 就博通而言,有一些小问题,如税率变化影响EPS模型,或因更多定制AI芯片而非更高利润率软件导致的"利润率压缩",但这只是会计处理框架问题。(类似于$META在一次性税收后最初的下跌) 对博通和整体市场而言,是积压订单预期问题。以上所有引用的内容与ASIC市场预期增长相比都是小问题。 博通披露未来18个月$730亿的AI积压订单。而有关Anthropic和META购买价值数十亿$GOOGL TPU的传言,人们隐含预期是$800亿+。 然而,这次抛售是由算法和短期AI泡沫情绪驱动的价格错位,而非基本面破裂。 这条积压订单引用是确认订单的最低合同底线。谷歌$GOOGL、亚马逊$AMZN等公司可能会继续增加ASIC订单,而市场未能辨别这一细微差别。 分析师预期营收转化会更加前置,Q4之后积压订单应该会减少,这给出了2026年更高的可能范围$550-600亿+,而非$730亿预期中的$500亿。 TLDR:关于超大规模云厂商ASIC加速以与$NVDA依赖竞争这一论点没有改变。$AVGO和其他如$COHR、Sk Hynix、$MU、$VRT和$LITE都将受益。 这不是关于营收积压订单的最佳消息,但由于交付周期/订单周期和最低底线而被误解。 如果非要说什么,较低的超级云厂商ASIC需求对$NVDA及其生态系统是有益的,但我们也看到$CRWV、$SMCI、$NBIS和$NVDA GPU/DC计算生态系统今天都从盲目抛售中下跌超过5%,尽管存在负相关性。 这又是典型的"AI泡沫"周期因误解而再次来袭。AI股票普遍下跌10-12%的恐慌是一个绝佳的买入机会。 (该推文引用了@aleabitoreddit的推文,引用内容仅供理解语境): 甲骨文[$ORCL]业绩及其对新云板块如$NBIS和$IREN的影响: 甲骨文报告EPS超预期且积压订单创纪录,但盘后下跌12%。 甲骨文较9月11日高点下跌39.8%,并拖累整个板块。 原因如下: 这次抛售不仅仅是对边际营收miss的反应,而是算法做空和投资者对AI资本支出周期可持续性以及该板块主要租户信用资质的不看好: OpenAI。 甲骨文宣布2026年资本支出增加$150亿至近$500亿,这与报道的与OpenAI $3000亿合作伙伴关系密不可分。 最初,OpenAI是前沿LLM,对甲骨文、Coreweave等公司有前景良好的资本支出承诺,促成了该板块的初始重新定价。 然而,随着超过$1万亿的义务以及Anthropic、Gemini、XAI等竞争对手的增加,市场严重质疑甲骨文、Coreweave等公司是否为无法从运营现金流履行其义务的租户在建设。 我们看到市场有效地发出信号:甲骨文正在为OpenAI创造一种不可持续的债务驱动型"供应商融资",而OpenAI无法履行其承诺。 因此下跌是理性的:这次抛售是由信用风险和资本密集度的理性重新定价所驱动。 OpenAI融资担忧是合理的:OpenAI缺乏资金履行合同的假设得到其营收($130亿)与义务($600亿/年)之间明显不匹配的支撑。 信用担忧是真实的:甲骨文CDS利差扩大显示"信用事件"降级或违约的概率上升。 此外,我们看到这在新云板块引发传染效应,$NBIS从$140跌至$90s,$IREN从$80跌至$40s,$CIFR从$24s跌至$17s。 但这对$WULF、$NBIS、$IREN等新云公司来说是买入机会吗? 是的。 这对$ORCL来说是好的买入机会吗? 不是。 前瞻展望: $ORCL(很大一部分)、$CRWV(25%积压订单)是两个主要依赖OpenAI的公司,这一叙事可能因OpenAI的融资活动而瞬间翻转(+30%+变化)。 如果OpenAI在2026年以高估值超额认购IPO,且其新GPT模型击败Gemini/Claude,我们可以看到这种改变。 然而,许多其他公司与OpenAI无关。新云板块的原始论点是Mag7资本支出从其现金牛业务(Azure、AWS、GCP)向下流向:$NBIS、$IREN、$CIFR、$WULF等。 但随着最大玩家($ORCL、$CRWV)下跌,这些公司算法性地拖累了整个板块。 如果你看各家公司,$CIFR和$WULF由$GOOGL兜底,$IREN/$NBIS由$MSFT资助。 这些是与超大规模云厂商/Mag7的锁定合同积压订单,而非OpenAI。 这种因误解风险而导致的不理性抛售为新云板块提供了绝佳的买入机会,但不是与OpenAI相关的公司如$ORCL和$CRWV。

英文原文

Broadcom [ $AVGO ] earnings results and its effect on the AI sector like $LITE and $NBIS: Broadcom's ER was "double beat" with $18.02B revenue (+28% Y/Y) and $1.95 EPS, beating consensus. But AVGO dropped -11.64% and brought down the AI sector. Is this a buying opportunity? Yes. Broadcom is seen as a hyperscaler ASIC proxy growth as companies like $AMZN Trainium, $MSFT Maia, and most importantly $GOOGL TPU V7 Ironwood are scaled through it. And by proxy companies like $ALAB (-13.2%), $CRDO (-5.11%), $LITE (-12.23%), $TSM (-3.71%), $COHR (-9.25%), and are direct beneficiaries of the TPU/Asic buildout and Broadcom as a company. There's three reasons why Broadcom fell and one why the market fell: For Broadcom, there's minor things such as tax rate changing EPS models or "margin compression" from accounting from just more custom AI chips than higher-margin software, but this is just accounting framing. (Similar to how $META dropped initially on one-time tax post-ER) For both Broadcom general market, it was backlog expectations. Everything cited above is all minor compared to expected growth of ASIC markets. Broadcom cited $73B in AI backlog for the next 18 months. And rumors of Antrophic and META buying billions of $GOOGL TPUs, people were implicitly expecting $80B+. However, the selloff represents a dislocation in price driven by algorithms and short-term AI Bubble sentiment rather than a fundamental breakage. This backlog quote was the MINIMUM CONTRACTUAL FLOOR of confirmed orders. Companies like $GOOGL, $AMZN, will likely continue ramping up ASIC orders and the market failed to discern this nuance. Analysts are expecting revenue conversion to be more front loaded, and that there should be less backlog beyond Q4 given the cycles, which gives a higher likely range of $55-60B+ for 2026 rather than $50B expected of the $73B. TLDR: The thesis regarding hyperscaler ASIC ramp to compete vs $NVDA dependency has not changed. $AVGO and other players like $COHR, Sk Hynix, $MU, $VRT, and $LITE all stand to benefit. It's not the best news regarding the revenue backlog, but it's misunderstood due to lead-time/order cycles and minimum floors. If anything, lower hyperscaler ASIC demand is beneficial to $NVDA and their ecosystem, but we've also seen $CRWV, $SMCI, $NBIS and $NVDA GPU/DC compute ecosystem drop over 5%+ today from an indiscriminate sell-off despite inverse correlation. This is just the typical "AI Bubble" cycle hitting again from misunderstanding. The widespread panic of AI stocks dropping 10-12% is a great buying opportunity.

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