$GOOGL
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博主 Serenity 对 GOOGL 的核心观点经历了从波段交易到宏观逻辑支撑的演变。早期（7月），他将其视为中/长期波段机会，在164美元附近买入看涨期权，目标185美元，并基于财报爆表及700多亿美元回购计划，预测年底触及220美元以上。随后（8-9月），他视 GOOGL 为低隐含波动率（IV）下的优质期权交易标的，同时也作为高确信度的核心持仓之一，建议在市场下跌时通过期权或正股逢低布局。 在供应链与瓶颈方面，Serenity 强调 GOOGL 作为 Mag7 巨头，其 AI 资本支出仍在增加，且面临算力紧张。他指出，超大规模云厂商（如 GOOGL）因自研芯片（TPU）进展及算力需求激增，正将大量资本支出“漏斗式”注入 NeoCloud 服务商（如 CIFR、WULF），GOOGL 的背书成为这些小盘股估值重估的关键驱动力。他明确表态在 GOOGL 跌至210-200美元区间时买入看涨期权，并在其作为宏观流动性受益者时长期持有，未提及离场，反而多次强调其在 AI 基础设施扩张中的核心地位及期权交易价值。
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通过对比AI云需求与Nebius基本面，演示做空Nebius并做多Lulu的对冲策略。
今天我在写一篇周末指南，讲解如何对做空 $NBIS 进行尽职调查(DD)： 首先，查看超大规模云服务商的财报以观察 AI 云需求的传导效应： > $GOOGL：财报显示 AI 云需求创纪录 + 积压订单 + 利润率提升 > $AMZN：财报显示 AI 云需求创纪录 + 积压订单 + 利润率提升 > $META：财报显示可用容量的价格高于预期。 现在，来看看 Nebius： -> $NBIS：年化经常性收入(ARR) 在 Q4 增长数百%至 70-90 亿美元。利润率增长，并指引签约电力超 4GW。 -> 预计 Uber/Waymo 拆分，更聚焦于 Avride -> 预计 Clickhouse 每季度快速增长。 看起来做空理由不充分！但接下来，你需要对冲吗？ -> 哇！一位 $NIKE 品牌高管，在股价过去 5 年下跌 75% 后，去了 $LULU 拯救该品牌？Lululemon 看起来不错。 结论：做空 Nebius 并做多 $LULU
英文原文
Today I'm writing a weekend guide on how to do DD when shorting $NBIS: First, you look at hyperscaler earnings for AI cloud read through: > $GOOGL: reports record AI cloud demand + backlog + margin increases from earnings > $AMZN: reports record AI Cloud demand + backlog + margin increases from earnings > $META: reports higher than expected prices for available capacity from earnings. Now, time to look at Nebius: -> $NBIS: Growing hundreds of percent to $7-9B ARR by Q4. Growing margins, and guided 4GW+ contracted power. -> Sees Uber/Waymo splitting, putting more focus on Avride -> Sees Clickhouse growing rapidly every quarter. Okay looks bad! But next, you need a hedge? -> Wow! A $NIKE brand executive, after the stock dropped 75% over the past 5 years, went to $LULU to save that brand next? Lululemon seems good. Conclusion: Short Nebius and go long on $LULU
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四大云厂商上调Capex指引，看好上游半导体及AI供应链瓶颈环节重估。
作为业绩复盘：$AMZN、$META、$GOOGL 和 $MSFT 将 2026 年联合资本支出(Capex)指引上调至约 7200-7450 亿美元。此前指引为 6950-7250 亿美元。亚马逊：2200 亿；谷歌：1950-2050 亿；Meta：1300-1450 亿；微软：1750 亿。我们已看到显著的降杠杆和零售/机构保证金清算（可能还会持续，谁知道呢）。但中长期来看，我不太明白为何有人看空上游半导体或新云厂商。鉴于每家超大规模云服务商都指出了算力短缺、云需求上升+定价权增强，或增加芯片/网络支出。我对许多上游半导体供应链的“瓶颈”论点是：当数万亿美元资本流入磷化铟(InP)衬底或存储（此前均被视为廉价大宗商品）甚至能源领域时。许多此前在电信周期中被视为无用甚至“卖马桶”的当前 AI 概念股。当拐点到来且资本支出流入其资产负债表时，估值将重估。正如过去几年 $NVDA GPU、今年存储、未来几年 CPU/MLCC、2027 年共封装光学(CPO)、2027 年玻璃衬底、2027 年 800V 等所见。
英文原文
As a earnings recap: $AMZN, $META, $GOOGL, and $MSFT guided a 2026 combined capex forecast to ~$720-$745 Billion. Up from $695-$725B Billion previously. Amazon: $220B Google: $195B-$205B Meta: $130B-$145B Microsoft: $175B We've already seen significant deleveraging and retail/institutional margin liquidations (maybe it continues for more time, who knows). But medium-long term, I'm not quite sure how anyone can be bearish the upstream semis or neoclouds. Given each hyperscaler has flagged either compute shortages, rising cloud demand + pricing power, or increased spending for chips/networking. My "bottleneck" thesis with many of these upstream semi supply chains is that when trillions in capital flows into things from InP substrates or memory (which were both treated as cheap commodities) or even energy. Lot of these current AI names that were treated as useless before in telecom cycles or even toilet sellers. Gets rerated when their inflection period hits and capex flows into their balance sheets. As seen with $NVDA GPUs past few years, memory this year, CPUs/MLCCs next few years, CPO in 2027, Glass Substrates in 2027, 800V in 2027, and so on.
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反驳媒体看空AI，指出巨头需求旺盛且韩国半导体大涨。
本周要点速览： 媒体：超大规模云厂商建设过剩，正在抛售多余算力。 -> $GOOGL, $MSFT, $META, 和 $AMZN：算力需求远超产能。资本支出(Capex)持续飙升。 机构：紧急加息或三次加息，行情就此终结。 -> Kevin Warsh：不会加息。 散户/媒体：AI因是泡沫而崩盘。 -> 城堡证券(Citadel)正寻求买入AI杠杆对冲基金头寸：👀 Jim Cramer：清仓所有杠杆型数据中心(DC)股票。 -> 韩国市场：SK海力士(SK Hynix) +30%，三星(Samsung) +26.81%
英文原文
Just a TLDR of this week: Media: Hyperscalers overbuilt and are selling excess compute. -> $GOOGL, $MSFT, $META, and $AMZN: Demand for compute far exceeds capacity. Capex go brrr. Institutions: Emergency rate hike or 3x rate hikes, it's all over. -> Kevin Warsh: No rate Hike. Retail/Media: AI is crashing because it's a bubble. -> Citadel looking to buy AI leveraged hedge funds positions: 👀 Jim Cramer: Sell all your leveraged DC stocks. -> Koreans: SK Hynix +30%, Samsung +26.81%
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亚马逊资本支出上调及算力短缺证实，AXTI 产能扩张且供不应求，看多 AI 半导体及光通信供应链。
几条财报摘要，重点是我看好的 $AXTI 和 $AMZN： 亚马逊： - 将 2026 年资本支出上调至 2200 亿美元（此前为 2000 亿美元），部分原因是内存成本上升，这对 $MU 和三星是利好。 - 即使达到 2200 亿美元，亚马逊的产能仍无法满足 2026 年的所有需求；Jassy 预计 2027 年情况相同。 - 大多数 2027 年的新增产能已被预订，2028 年的大量产能也已预订。 主要浏览了上游半导体板块。$GOOGL、$META、$AMZN 和 $MSFT 均指出算力短缺。 几周前关于 Meta 等公司“算力过剩”以及超大规模云厂商削减支出的所有叙事……全是胡扯。 亚马逊财报对 AI 半导体交易非常看多。 AXTI： - AXT 计划在 2026 年将磷化铟(InP)产能翻倍，2027 年再翻倍。 - 预计这将使 AXT 成为“迄今为止全球最大的磷化铟生产商”——冲鸭。 - 第二季度营收为 4760 万美元，创 AXT 历史单季新高（来自数据中心应用的 InP 营收创纪录达 3070 万美元）。 - 营收环比增长 77%，同比增长 164%。 - InP 营收-产能目标：2026 年底每季度 6000 万美元。 - 2027 年底每季度 1.3 亿美元。 由于管理层表示他们将“寻找任何方式增加产能扩张”，1.3 亿美元的目标可能会进一步提高。 管理层称报告中的积压订单仍远高于 1 亿美元，但该数字已不能反映所有可用需求。 “无论我们增加产能的速度多快，客户需求持续超过供应。” 800G/1.6T 正在驱动当前周期，而 NPO/CPO 将其延伸至 2027 年之后。 此外，他们的目标是 50% 以上的毛利率：“我们绝对应该瞄准一个以五开头的数字。” 中国需求翻倍有余，且与 Casela、$COHR 和 $LITE 的协议并未实质性推动第二季度业绩。 这甚至还没有考虑我预测的随着 InP 衬底瓶颈加剧带来的巨大平均售价(ASP)上涨。 摘要： - 亚马逊算力需求过大，需要资本支出来满足，因此上游半导体起飞。 - AXT 是全球最大的 InP 衬底供应商，高毛利率，产能扩张，且供应跟不上需求。 看多来自亚马逊的需求端+资本支出。看多上游光通信供应链，因为需求过大。
英文原文
Few earnings TLDRs with my favorite $AXTI and $AMZN: Amazon: - Raised 2026 capex to $220B vs. prior $200B (partly due to higher memory costs, which is bullish on $MU to Samsung) - Even at $220B, Amazon will not have enough capacity to meet all 2026 demand; Jassy expects the same in 2027. - Most incoming 2027 capacity is already reserved, with substantial 2028 capacity also reserved. Mostly read through on upstream semis. $GOOGL, $META, $AMZN, and $MSFT all identified compute shortage. All the narratives a few weeks earlier was "excess compute" from Meta and others + hyperscalers cutting back on spend... All BS. Amazon earnings was very bullish on AI semi trade. AXTI: - AXT to double InP capacity during 2026. Then double again in 2027. This is expected to make AXT "by far the largest indium phosphide producer in the world." - LFG - Q2 rev was $47.6M, the highest quarterly revenue in AXT history (InP revenue reached a record $30.7M, from DC applications.) - Revenue increased 77% sequentially and 164% year over year. - InP revenue-capacity targets: $60M per quarter exiting 2026. - $130M per quarter exiting 2027 That $130m target could be hiked too since management stated they find "whatever ways to increase that capacity expansion" - Management said the reported backlog remains well above $100M, but that number no longer reflects all available demand. "Customer demand continues to outpace supply, no matter how fast we add capacity." 800G/1.6T is driving the current cycle, while NPO/CPO extends it beyond 2027. Also they're targeting 50%-plus gross margin: "We should definitely be targeting a number that begins with a five." China demand more than doubled, and their agreements with Casela, $COHR and $LITE did not materially drive Q2. This is not even considering my projected massive ASP hikes yet as InP substrates get more bottlenecked. TLDR: - Amazon too much compute demands, needs capex to fufill it, so upstream semis go brrr. - AXT world largest InP substrate supplier, high gross margins, expansion, and supply can't keep up with demand. Bullish on demand side from Amazon + capex. Bullish on upstream optical supply chains from too much demand.
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超大规模云厂商资本支出强劲，计算资源稀缺，AI抛售被夸大。
以下是来自 $META 和 $MSFT 财报电话会议的一些要点： 微软： - 尽管资本支出增加，预计2027年将实现自由现金流(FCF)转正（这对由运营收入资助的AI建设极为有利） - “自由现金流为196亿美元，反映了更高的资本支出” - 季度资本支出为410亿美元，其中约2/3为“短期资产，主要是CPU和GPU” - 预计下一季度资本支出将超过500亿美元 - 资本支出指引约为1750亿美元，2027年资本支出大致相同。支出计划不变且符合预期。 - “将数据中心的预计使用寿命从15年延长至25年” - “我们将成为首批部署基于 $AMD Helios 和 $NVDA Vera Rubin 的下一代机架级AI基础设施的云提供商之一” - “客户需求持续超过可用容量” Meta： - 资本支出1300-1450亿美元（范围收窄），此前为1250-1450亿美元。 - Meta 收到的报价比其支付价格有“显著溢价”（计算资源稀缺，对 $IREN / $NBIS 等新云厂商有利） - 预计大部分计算资源（如埃尔帕索的1GW数据中心）将用于开发内部模型。 - Meta 在其核心业务中有多个投资回报率(ROI)为正的额外计算用途（内部使用，非Meta Compute） - “最后，我们认为整体行业产能将在可预见的未来保持紧张” - “历史上行业对AI采用浪潮的建设不足，使得现有产能，包括我们自己的，极具价值” - Susan Li 总结： - $MSFT 和 $GOOGL 主要在保持自由现金流为正或通过运营收入的同时，维持AI资本支出建设。 - $META 指出可用计算资源至少到2027年都远低于需求。$MSFT 也指出计算需求远超供应。 - 三大超大规模云服务商的资本支出基本与Google上调资本支出数字一致。 现在的AI抛售似乎被极度夸大了，超大规模云服务商继续按预期进行资本支出（微软保持自由现金流为正）甚至像 $GOOGL 那样上调。 计算资源稀缺在所有超大规模云服务商的财报电话会议中可见。
英文原文
Just some takeaways from $META | $MSFT earnings calls: Microsoft: - Expected to be FCF positive in 2027, despite the increase in capex (extremely positive for AI buildout that it's funded by operating income) - "Free cash flow was $19.6 billion, reflecting higher capital expenditures" - Quartely capex was $41B, roughly 2/3rds were "short lived assets, primarily CPUs and GPUs" - Expects capex spend will be over $50 billion for next quarter - Capex Guidance at ~$175 billion and 2027 capex roughly the same. Spending plans unchanged and in line. - "Extending the estimated useful life of our data centers from 15 to 25 years" - "We will be among the first cloud providers to deploy next generation rack-scale AI infrastructure based on $AMD Helios and $NVDA Vera Rubin" - "Customer demand continues to exceed available capacity" Meta: - Capex $130-$145 billion (narrowed range), from $125B-$145B. - Meta is receiving offers at a "significant premium" to what they paid for it (compute scarcity, positive for neoclouds like $IREN / $NBIS ) - Expects significant portion of compute (like the 1 GW DC in El Paso) to develop internal models. - Meta has multiple ROI-positive uses for additional compute across its core business (internally, not Meta Compute) - "Finally, we believe that overall industry capacity is going to remain tight for the foreseeable future" - "The industry has under-built historically for the wave of AI adoption, making existing capacity, including our own, extremely valuable" - Susan Li TLDR: - $MSFT and $GOOGL largely sustaining AI capex buildout while remaining FCF positive or through operating incomes. - $META flags available compute materially below demand at least through 2027. And $MSFT also flags compute demand far exceeds supply. - All three hyperscaler capex largely in line with Google hiking capex figures. AI selloff seems extremely overblown now, hyperscalers continuing capex in line (with Microsoft being FCF positive) or even hiked with $GOOGL. Compute scarcity is visible throughout every single hyperscaler ER.
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博主认为AI需求加速信号明确，短期波动属去杠杆，看好光互连及存储板块。
我个人认为这是极短期的去杠杆行为，导致许多个股超跌。 - $BE 和 $TER 公布了超预期的业绩，Bloom 报告营收同比增长 166% + 利润率扩张 + 上调 2026 年指引... Teradyne 报告营收同比增长 104%，每股收益增长 300%+。 - 中国领先的光学玩家公布了惊人的初步财报，对西方光子学板块有极强的映射效应。 - 我认为财报季倾向于提醒市场 AI 加速仍在继续。我预计 $LITE、$SNDK / SK Hynix 以及板块龙头 ERs 将继续这一趋势。 - 但感觉市场更多是在奖励现有的加速，而非基于短期修正（如 $AMKR 所见）的未来一年增长。 - 总之，对我跟踪的主题来说看起来非常积极。 - 然后你有 $GOOGL 资本支出上调至 1950-2050 亿美元，这通常是超大规模云厂商最大的 AI 需求信号。 - 预测市场显示下次 FOMC 会议利率不变的概率为 77%。特朗普政府周一呼吁美联储降息。 - 所以今年三次加息的恐惧似乎有些夸大。 - 从 DUV 到 $CXMT 产能过剩的中国恐惧也被极度夸大。我们在每个行业都见过这种情况，直到人们记住激光或 HBM 瓶颈存在是有原因的。 - 就个人想法而言，看到所有东西一起涨跌是不健康的，尤其是这些主题。但我个人并不担心，因为我对我的持仓有充分信心，特别是像 $SIVE 或 $AAOI 这样的光互连领域。 - $META 计算和 $GOOGL GCP 利润率/增长显示出对 $NBIS 及类似新云业务模式的需求增加。 - $META 及其他超大规模云厂商关于与 $SNDK 和三星/SK Hynix、$MU 的长期协议（LTAs）的笔记指向结构性内存需求。 - 可以一直列举下去... - 但当 Jim Cramer 告诉每个保证金交易员在开盘时“全部卖出”，而新闻说存在 AI 泡沫时。 - 我讨厌别人说“它在跌所以卖出”。我相信重要的是看加速的营收/每股收益增长。如果营收加速与超大规模云厂商资本支出保持一致，那么该逻辑依然成立。 - 总之：我看到了 AI 需求/营收加速的迹象，超大规模云厂商资本支出是最重要的跟踪指标之一。 - 我猜我们会看到该主题广泛复苏。但我无法预测具体发生在哪一小时、哪一天或哪一周。
英文原文
I personally see it as extreme short term deleveraging that overshot many individual names. - $BE to $TER reported blowout results, with Bloom reporting 166% Y/Y rev growth + expanding margins + raised 2026 guidance... Teradyne reported 104% Y/Y revenue growth with 300%+ EPS growth. Your leading optical players over in China reported amazing preliminary earnings + extremely strong read through for the Western photonics sector. Think earnings season tend to remind markets about continued AI acceleration. I'm expecting $LITE, $SNDK / SK Hynix, and sector leader ERs to continue that trend. But it does feel like markets are rewarding existing acceleration more rather than future growth a year out over near-term revisions as seen with $AMKR. But as a TLDR, looks very positive for the themes I'm tracking. - Then you have $GOOGL capex raised to $195-$205B, which is typically the biggest AI demand signal from hyperscalers. - 77% 0bps change est. next FOMC decision from prediction markets. Trump administration on Monday called for the Fed to lower interest rates. So your 3x rate hikes fears this year seem kinda overblown. - Chinese fears from DUV to $CXMT overflooding are extremely overblown as well. We see this with every sector from time to time until people remember that lasers or HBM bottlenecks for a reason. As for personal thoughts, it was unhealthy seeing everything rise up or down together, especially with these themes. But I'm personally not worried since I have full conviction in my names, especially optical interconnects like $SIVE or $AAOI. $META compute and $GOOGL GCP margins/growth shows increasing demand for $NBIS and similar neocloud business models. $META + other hyperscaler notes around LTAs with $SNDK and Samsung/SK Hynix, $MU point to structural memory demand. Can go on and on... But when you have Jim Cramer telling every margined DC trader to "sell everything" at market open and news saying there's an AI bubble. I do hate it when others say "it's dropping so sell". My belief is that the important thing to look is accelerating revenue/EPS growth. And if that thesis stays in-tact with revenue acceleration in line with hyperscaler capex. TLDR: I see signs of AI demand / revenue acceleration, hyperscaler capex is one of the most important things to track. And my guess is that we'll see the theme recover broadly. But I can't predict what hour, day, or week that happens.
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GOOGL上调资本支出指引后股价大跌，博主猜测是去杠杆所致。
@wannabepanacea 我最近刚退出（市场），正在从两轮手术中恢复。鉴于 $GOOGL 上周上调了资本支出指引，这一跌幅至少可以说是令人惊讶。我需要去查一下加息概率，但我猜测这只是去杠杆。
英文原文
@wannabepanacea I've been out if it recently, just recovering from 2 rounds of surgery. Drop was been surprising to say the least given $GOOGL hiked capex guidance last week. Will need to check on rate hike odds, but my guess is just deleveraging.
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Waymo拟与Uber拆分，印证博主此前对Uber合作策略失误的判断。
事实如此，据《金融时报》报道，$GOOGL Waymo 正考虑与 $UBER 拆分。我去年认为 Uber 与 Waymo 合作是个糟糕的选择……因为 Uber 只是 Google 在扩张过程中所需的分发渠道。我认为 $NBIS Avride、其他中立玩家或垂直整合才是最佳路径。如今，其合作伙伴 Waymo 看起来成了 Uber 最强的颠覆者。
英文原文
There you have it, $GOOGL Waymo to explore split with $UBER per FT. My view last year was that Uber partnering with Waymo was a bad choice… since Uber would just serve as a distribution funnel that Google needed as they scale up. And that $NBIS Avride, other neutral players, or vertical integration would be the optimal path forward. Now their own partner Waymo looks to be the strongest disruptor to Uber.
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AI资本支出利好上游半导体，但市场担忧谷歌自身支出。
@haranguetan_ 在评论之前，具备一点点阅读理解能力会有所帮助。 AI资本支出(Capex) -> 流向内存、光子学、晶圆代工厂等上游半导体领域。这些参与者乐在其中。 $GOOGL 本身正在花钱，所以市场可能不喜欢他们（指谷歌）这一点。 但对于接收这些资金的参与者来说，这是积极的。
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@haranguetan_ Having an iota of reading comphrension helps a bit before commenting. AI Capex -> goes to upstream semis from memory, photonics, foundries, and others. These players are happy. $GOOGL itself is spending the money, so markets might not like that for them in specific. But it's positive to the players that receive that capital.
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GOOGL上调26财年资本支出指引，利好上游半导体供应链。
$GOOGL 更新 2026 财年资本支出(capex)指引： 上调至 1950 亿-2050 亿美元。此前为 1800 亿-1900 亿美元。 预计 Google 在 2027 年也将大幅增加资本支出。 这或许是超大规模云服务商对上游半导体最看多的解读。 https://t.co/dXiI0Ien8X
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$GOOGL updates FY 2026 capex guidance: To $195B-$205B. Up from $180B-$190B. Google is also expected to significantly increase capex in 2027. This is perhaps the most bullish read through on upstream semis from a hyperscaler. https://t.co/dXiI0Ien8X
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博主引用他人观点指出谷歌股价下跌。
@4intheflames $GOOGL 股价大幅下跌 0.079%。https://t.co/lN3g2KcJZy
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@4intheflames $GOOGL stock down a solid -.079%. https://t.co/lN3g2KcJZy
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GOOGL用户激增致算力紧缺，AI资本支出难放缓
$GOOGL 现在拥有 9.5 亿 Gemini 月活用户，每分钟处理 220 亿 API 令牌(API Token)。 相比之下，2 月份仅为 7.5 亿。 几个月内新增 2 亿用户，增长荒谬惊人。这解释了为何他们算力耗尽，进而削减了对 $META 等公司的配额分配。 鉴于此，AI 资本支出(AI Capex)不太可能放缓。
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$GOOGL now has 950M monthly Gemini users and processes 22B API tokens/min. Compared to 750M back in February. Absurd growth adding 200 million more users in a few months. Kinda explains why they ran out of compute, then cut allocations to $META and others. Very unlikely AI capex will slow down given.
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GOOGL云业务超预期利好AI需求，支撑LITE等光网络板块。
$GOOGL 今日公布财报： 每股收益(EPS)：实际 $9.11 vs 预期 $2.91 - 散户对 EPS 大幅超预期的反应某种程度上只是会计噪音，因为 $SPCX、Anthropic 等可能是主要贡献者。 营收：实际 $1197 亿 vs 预期 $1169.8 亿 Google Cloud 营收：$247.7 亿，同比 +82%，vs 预期的 63-65% ($222-$226 亿) - 这是巨大的超预期，也是目前最重要的部分。 Cloud 营业利润：~$88.1 亿，暗示利润率 35.6%，vs Q1 的 32.9%。 资本支出(Capex)：$449.2 亿 vs ~$441.5 亿（基本符合预期）。 所以初步解读是 Google Cloud 增长加速且利润率扩张，这对 AI 需求确实是看多(bullish)信号。 他们此前 $180-$190 亿的资本支出指引已经非常庞大，只要我们在财报电话会 + 前瞻指引中看到围绕这些数字... 对于 $LITE 和其他光学/网络交易来说应该没问题了。（例如上次财报，他们说数据中心和网络将占资本支出的 ~40%）。 超大规模云厂商(Hyperscaler)的财报电话会记录可能是 AI 资本支出交易中最需要关注的。 那应该在 3 分钟后开始。
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$GOOGL reported earnings today: EPS: $9.11 actual vs $2.91 expected - retail reactions to EPS blowout is kinda just accounting noise, since $SPCX, Anthropic, and others were likely large contributors. Revenue: $119.7B actual vs. $116.98B expected Google Cloud Revenue: $24.77B +82% Y/Y, vs. 63-65% expected ($22.2-$22.6B) - this is a very large beat and most material part so far. Cloud Operating Income: ~$8.81B, implying 35.6% margin vs. 32.9% Q1. Capex: $44.92B vs ~$44.15B (basically in line). So initial read through is Google Cloud accelerating growth with expanding margins is genuinely bullish for AI demand. Their former $180-$190B capex guidance is already extremely large, and as long as we get around these numbers in the earnings call + forward projections... Should be good to go for $LITE and the other optics/networking trade. (eg. last earnings, they said DC and networking would be ~40% of capex spend). Hyperscaler earnings transcripts are probably the most important thing to pay attention to with the AI capex trade. And that should be in 3 minutes.
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推测苹果为求自力更生将增加AI资本支出，超出市场预期。
@SVTrivo 关于 $AAPL 正在采购哪些公司，目前尚无泄露消息。无论如何，我猜测在经历了 $GOOGL 和 $META 与 OpenAI 的事件后，他们正试图变得更加自力更生。这将预示着人工智能资本支出(AI Capex)的增加，而市场绝对没有预期到像苹果这样的公司会有此举。
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@SVTrivo No leaks yet on what companies $AAPL is buying. Regardless, my guess is that they're trying to become more self-reliant after what happened with $GOOGL + $META and OpenAI. Which would signal AI capex hikes, which markets definitely aren't expecting from someone like Apple.
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OpenAI构建独立生态激怒七巨头，被视为真正的颠覆者。
这是一个逆向观点，但如果 Sam Altman / OpenAI 能激怒包括 $AAPL 在内的所有“七巨头(Mag7)”，说明他们做对了什么。他们正在构建自己的生态系统，而不是被卷入另一个生态。自 $GOOGL、苹果、微软等公司以来，已经很久没有出现过真正的颠覆者了。
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Contrarian take, but Sam Altman / OpenAI is doing something right if he's pissing off every Mag7 like $AAPL. By building their own ecosystem instead of being sucked into another. It's been awhile since $GOOGL, Apple, Microsoft, and others had some genuine disruptors.
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看好亚马逊在物理AI转型中的赢家地位及其对机器人产业链的催化作用。
@heyfinlo 是的，$AMZN 看起来是物理 AI（Physical AI）转型中的明确赢家。我认为亚马逊生态系统……与其他谷歌/元宇宙生态系统相比，更可能成为机器人玩家的催化剂。我隐约看到这与 $GOOGL TPU 对 $LITE 等供应商产生的效应存在相似之处。
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@heyfinlo Yep, $AMZN looks like the clear winner in physical AI shift. I think the Amazon ecosystem... is probably going to the catalyst for robotics players compared to others in the Google/Meta ecosystems. I kinda see parallels to the $GOOGL TPU effect on suppliers like $LITE or https://t.co/2Upo1XRLSp
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反驳META削减资本支出论，指出算力紧缺致谷歌削减对Meta资源分配。
关于 $META 因“过度建设”而“削减资本支出”的虚假信息甚嚣尘上。 这取决于他们是否真的存在过剩产能。 而目前的情况恰恰相反： 像 $GOOGL 这样的超大规模云服务商(Hyperscalers)计算资源极度受限，以至于不得不削减对 Meta 的资源分配。
英文原文
There’s a lot of disinformation going around about $META “cutting capex” because they “overbuilt”. This is an “if” they have excess capacity. And it looks like the opposite right now: Hyperscalers like $GOOGL are so compute constrained that they had to cut allocations to Meta
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将Agility比作机器人界Anthropic，看好其巨头背书及企业级起点。
只是一个随想，美国领先的人形机器人玩家让我联想到当前的大语言模型(LLM)动态：Agility ($CCXI) 感觉有点像机器人领域的 Anthropic。在 $AMZN 和 $NVDA 的大力支持下，并深度整合了 $GOOGL Deepmind（类似 TPU）。它从企业级应用起步。
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Just a random thought, leading US humanoid players strangely me of the current LLM dynamics: Agility ( $CCXI ) kinda feels like Anthropic for robotics. With $AMZN and $NVDA heavily backing it, ingrained with $GOOGL Deepmind (like TPUs). And it starts off with enterprise
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质疑美国AI巨头资本支出大幅下滑的可能性，并提及中国AI网络威胁论。
很难想象一个世界，其中美国AI超大规模云服务商（Hyperscaler）的资本支出（Capex）从$GOOGL到$META会出现大幅下降。 当像360这样的中国实体声称： 他们现在拥有一种“AI网络核武器”，可以黑客攻击西方公司和政府。 （周声称Mythos就像AI时代的网络... https://t.co/pBbhuAfJk3）
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Hard to see a world where US AI hyperscaler capex drops dramatically from $GOOGL to $META. When China entities like 360 go and claim: They now have a "AI cyber nuclear weapon" that can hack Western companies and governments. (Zhou claimed Mythos was like an AI era cyber https://t.co/pBbhuAfJk3
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谷歌因算力限制Meta，致Meta转向Neoclouds且Gemini被削弱。
看来我们终于找到为什么 $META 在三月与 $NBIS 等 Neoclouds 签署巨额协议的原因了…… 以及为什么 Gemini 被大幅削弱。 据报道，$GOOGL 因算力限制，在 2026 年 3 月限制了 Meta 的容量。 谷歌 CEO 在上次财报中关于计算 https://t.co/LXGg8md2ur
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Guess we finally found why $META signed massive agreements with Neoclouds like $NBIS back in March... And why Gemini got super nerfed. $GOOGL reportedly restricted Meta's capacity in March 2026 because of compute restraints. Google's CEO said from last earnings computing https://t.co/LXGg8md2ur
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回顾2025年对光模块及半导体供应链龙头的早期估值判断。
有趣地回顾一下2025年的一些随机想法。 当时， $AAOI 市值为20亿美元， $LITE 市值为260亿美元， $AXTI 市值为5亿美元。 现在： - AAOI 市值为153.7亿美元 - Lumentum 市值为744.7亿美元 - AXT 市值为72.4亿美元 当时由于处于早期主题阶段，掌握的信息较少。 当然，专用集成电路(ASIC)方面存在细微差别。
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Fun throwback to random ideas back in 2025. Back then, $AAOI was $2B MC, $LITE was a $26B MC, $AXTI was $500M Now: - AAOI is $15.37B - Lumentum is $74.47B - AXT is $7.24B Was working off less information back then, given it was an early theme. Obviously nuances with ASIC
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通过供应商关系映射推测AI芯片供应链瓶颈。
不客气，关于 $IQE。 -> $LITE 是 $GOOGL 的已知供应商。 -> $IQE 是 $LITE 的已知供应商。 -> $AXTI 是 $IQE 的已知供应商。 Google TPU + 超大规模云服务商 ASIC 的物料清单(BOM) 极度保密。 但你可以通过关系映射大致推测，尽管没人会明说 $AXTI 或 $IQE 供货给...
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Ur welcome with $IQE
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NVDA与GOOGL提前部署800V DC，台达等供应链企业受益。
$NVDA 和 $GOOGL 提前完成 800V 直流(800V DC)部署。 “提前完成”，已提前至 2026 年第三季度，并开始小批量出货。 - 台达电子(2308)，$VRT - 松川精密(7788) - 施耐德电气、伊顿、西门子。 以上均被标记为受益者。 “市场
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$NVDA and $GOOGL lead 800V DC ahead of schedule. "Ahead of schedule", pulled up to Q3 2026 with small volume shipments starting . - Delta Electronics (2308), $VRT - Song Chuan Precision (7788) - Schneider Electric, Eaton, Siemens. All flagged as beneficiaries. "Market
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长期更偏好英伟达上游瓶颈而非NVDA本身。
回复 @darkseidzz：嗯，长期看，相比做多 $NVDA，我更喜欢你所有的上游瓶颈环节，因为这些会被重估得最多（英伟达已经是世界最大公司）。 我很确定，超大云厂商 ASIC 最终会分流 $NVDA 的需求，比如 $GOOGL 的 TPU、$AMZN 的 Trainium 项目。
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@darkseidzz hmm, i prefer all your upstream chokepoints over $NVDA long term since those will be re-rated the most (nvidia already largest company in the world) pretty sure hyperscaler ASICs would eventually siphon off $NVDA demand like $GOOGL TPU, $AMZN trainium programs. wouldn't be too
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强调基本面比技术分析更重要。
回复 @dong7da7：我以前会在图表上画些傻东西，比如宝可梦，来开玩笑说人们怎么做技术分析。 因为大多数时候，技术分析其实没有意义，基本面才是最重要的！ 那张喷火龙图片，是我在 $GOOGL 156美元时点名它的梗。
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@dong7da7 I used to draw silly things on charts like Pokemon on charts to joke about how people do TAs. Because most of the time, technical analysis doesn’t actually mean anything, since fundamentals are the most important! That Charizard photo was my $GOOGL callout back at $156.
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高盛上调四大云厂商资本开支预期，利好上游半导体供应链。
是的……我认为你们所有上游半导体供应链公司都会涨得更高。 高盛现在预计，2025到2030年四大超大云厂商 $GOOGL / $META / MSFT / $AMZN 的资本开支合计将达到5.3万亿美元。 这一数字从一季度财报后的4.5万亿美元上调。
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Yeah… I think all your upstream semi supply chain companies are going much higher. Goldman now expects a combined $5.3 trillion of capex spending for the four largest hyperscalers $GOOGL / $META / MSFT / $AMZN from 2025 to 2030. Revised up from $4.5T from Q1 earnings. https://t.co/UtkU1IU2V5
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认为市场误读博通CEO评论，云厂商多源化不可避免。
回复 @lousyjets：不是，人们误读了 $AVGO CEO 的评论。 总体需求是贪得无厌的，但超大云厂商不想被卡住，所以 $GOOGL 和其他公司进行多源采购是不可避免的。 博通的利润继续增长，但因为蛋糕持续变大，联发科……
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@lousyjets No, people are misinterpreting $AVGO CEO comments. Demand is insatiable in general, but hyperscalers don't want to be bottlenecked, so it's inevitable $GOOGL and others multi-source. Broadcom's bottom line keeps increasing, but because the pie keeps increasing, Mediatek,
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讨论高通与字节/亚马逊相关机会及光子学收购。
回复 @madridraptor：如果我没记错，$QCOM 是字节跳动，也可能是 $AMZN，不是 $GOOGL TPU。 不过我真的不喜欢高通对中国的敞口有多大。但他们做了一些非常重要的光子学收购，比如 Alphawave（类似 Marvell 收购 Celestial）……
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@madridraptor $QCOM was Bytedance and maybe $AMZN if i remember correctly, not $GOOGL TPU. I'm really not a fan of how much exposure Qualcomm has to China though. But they made some really important photonics acqusitions like Alphawave (similar to what marvell did with celestial)... for
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说明NBIS对应META/MSFT，谷歌通过Fluidstack与CIFR/WULF做机房交易。
回复 @JonahK44：$NBIS 是 $META 和 $MSFT。 $GOOGL 通过 Fluidstack 做了很多交易，从 $CIFR 到 $WULF，获取更多托管机房。我猜是为了接入更多 TPU。
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@JonahK44 $NBIS is $META and $MSFT. $GOOGL has done a lot of Fluidstack deals with $CIFR to $WULF for more Colo. my guess is to plug in a lot more of their TPUS
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谷歌为AI资本开支融资，利好上游生态。
我从没想过会看到 $GOOGL 需要为 AI 资本开支融资800亿美元的这一天…… 然后沃伦·巴菲特的 $BRK.A 在为超大云厂商 AI 建设提供资金。 - 400亿美元 ATM、300亿美元发行、伯克希尔100亿美元 从 $LITE 到 $AVGO、联发科、$TSM、$MU 的上游生态应该会一路受益。
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I never thought I’d see the day where $GOOGL needs to raise $80b for AI capex… Then Warren Buffet’s $BRK.A is funding the hyperscaler AI buildout. - $40B ATM, $30B offerings, Berkshire $10B Upstream ecosystem from $LITE to $AVGO to Mediatek to $TSM to $MU should go brrr. https://t.co/CxvctNZyMC