概念词典 · 宏观
AI 资本支出
Mag7 等科技巨头投入 AI 数据中心、GPU、电力、光互联等基础设施的总额，是上游产业链景气度的最直接先行指标。
别名： AI capex／ AI 资本支出／ AI capital expenditure／ capex／ 资本支出
是什么
AI capex（AI 资本支出） 指各大科技公司投入 AI 基础设施的资金总额，包括：
- 购买 GPU / TPU / ASIC 芯片
- 建设新数据中心（土地、电力、冷却）
- 光互联设备 / 网络设备
- HBM 内存等核心零部件
2026 年，Mag7 中 $MSFT、$META、$GOOGL、$AMZN 四家合计 AI capex 突破 3000 亿美元，并且每季度财报都在上修指引。
为什么是上游产业链最重要的”先行指标”
Mag7 的 capex 计划公布后，约 6-12 个月会传导到上游：
Mag7 财报 capex 指引上修
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NVIDIA 拿到更多 GPU 订单
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TSMC 4nm/3nm 产能排队更长
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HBM (Micron/Hynix/Samsung) 供不应求
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光互联 (Coherent/SIVE/AAOI) 订单暴增
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最上游 InP 衬底 (AXTI) 出现真正的瓶颈Serenity 的关键判断
他对 AI capex 的态度是 “指数级增长且没有放缓迹象”：
“Capex is ramping up. Exponentially.
And flowing directly down to: Neoclouds → Connectivity → Energy → Semi/foundries.”
他常用 “AI capex 一旦放缓，整个供应链估值要重估” 作为最大尾部风险——但截至 2026Q2，他认为这个风险还没出现。
看 capex 的几个细节
- 看绝对额变化（如 Microsoft Azure 季度 capex 同比 +50%）
- 看资本支出占营收比例（健康范围还是过度投入？）
- 看构成（GPU vs 数据中心建设 vs 网络）—— GPU 占比上升说明算力还在加速
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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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英伟达拟担保OpenAI融资，博主质疑循环融资健康度但看好资本支出受益者。
英伟达正在洽谈为 OpenAI 的数据中心融资提供高达 2500 亿美元的担保。 - 软银旗下的 SB Energy 开发俄亥俄州 10GW 园区 - OpenAI 签署长期租赁协议 - $NVDA 担保 2500 亿美元融资 - OpenAI 正在讨论单独协议，购买高达 3500 亿美元的英伟达芯片。 不太确定这种循环融资长期来看是否健康，但鉴于 AI 基础设施支出的巨大规模…… 感觉资本支出受益者会非常高兴。
英文原文
Nvidia in talks to backstop $250B worth of OpenAI DC financing. - Softbank’s SB energy develops 10 GW Ohio campus - OpenAI signs long term lease - $NVDA guarantees $250B in financing - OpenAI discussing separate agreement to buy up to $350B in Nvidia chips. Not quite sure if this circular financing is healthy long term, but given the massive size of AI infrastructure spending… Feels like capex beneficiaries will be extremely happy.
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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。
英文原文
@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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博主强调相关公司上调资本支出是核心论点。
@200pipss 他们刚刚确实上调了前瞻资本支出(capex)，这正是这条帖子的重点。
英文原文
@200pipss They literally just hiked forward capex, which was the point of the post.
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超大规模云厂商上调AI资本支出，利好光网络板块财报表现。
@200pipss 超大规模云服务商上调人工智能资本支出指引，这一趋势尤其将在光网络（Optical Networking）板块的财报中体现出来。观察并学习……
英文原文
@200pipss Hyperscalers upping AI capex revisions is especially going to show up on optical networking earnings. Watch and learn...
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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
英文原文
$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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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。
英文原文
$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。
英文原文
$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 $LITE and the other optics/networking trade. (eg. last earnings, they said DC and networking would be ~40% of capex spend). Hyperscaler earnings transcripts are probably the most important thing to pay attention to with the AI capex trade. And that should be in 3 minutes.
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AI价值非线性质疑利润论，资本支出将持续高增
老实说，在 X 上随意发布新颖的信息发现才是做研究该有的样子。这似乎是斯梅尔（Smale）提出的“下个世纪数学问题”列表中的第 16 项？这在一定程度上表明，AI 产生的价值并不随 token 成本线性增长……看到这一点后，空头可能仍会质疑：“但 AI 应用后的利润究竟从何而来？”AI 与资本支出（Capex）的投入大概率将继续迅猛增长。
英文原文
TBH, casually posting novel information discovery to X is how research should be done. Apparently this was #16 on the Smale's list of Mathematical Problems for the Next Century? Kinda shows that the value generated from AI does not scale linearly with token costs... After seeing this, bears are still probably going to say: "B-but where's the profit coming from after AI usage?" AI + capex is likely going to keep going brrr.
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AI需求旺盛致模型产能不足，预示资本支出将持续增长。
周日闻到更多人工智能资本支出(AI capex)的气息，这种感觉无与伦比。如果领先的尖端模型(frontier models)因需求过旺而产能不足，可能还有很长的路要走。 https://t.co/d8mnuAQdLz
英文原文
There’s nothing quite like the scent of more AI capex on a Sunday. Probably some ways to go if leading frontier models are out of capacity from too much demand. https://t.co/d8mnuAQdLz
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高盛上调中际旭创目标价及盈利预测，看好硅光子及光模块产业链前景。
谢谢，喜欢读评论！ 高盛将中际旭创(Innolight)的目标价上调至2581元人民币。较当前估值约有163.6%的上涨空间。 但最大亮点是其2026-2028年的盈利预测大幅上调，分别增长65%/108%/119%，基于： - 硅光子模块出货量大幅增加 - 扩展、扩容、跨领域出货量增长 - 1.6T/3.2T提升混合平均售价(ASP)和利润率 - AI资本支出增加 这通常对光通信板块有重大传导效应，因为： 我倾向于将中际旭创视为类似台积电($TSM)的半导体资本支出风向标，用以观察光子学领域的状况。 例如，硅光子渗透率提高意味着连续波激光器(如$SIVE)和SOI晶圆($SOI)的总可寻址市场(TAM)扩大。未来代际产品的ASP上涨对其他光模块厂商也是利好。 我认为报告之外的另一个要点是，中际旭创在12日的电话会议中表示，800G需求的增长比预期更显著。 这反过来预示着$AAOI和$LITE等公司在下一次财报季将面临更多需求。 简而言之：高盛在大幅回调期间给出了高盈利预测。 从根本上说，当财报季(ER)到来时，更广泛的光子学生态系统应该会感到高兴。
英文原文
Thanks, love reading the comments! Goldman Sachs raised Innolight PT to 2581 RMB. Roughly 163.6% upside from current valuations. But the largest thing is its 2026–2028 earnings est revision raised by a whopping 65%/108%/119%, based on: - Much higher silicon photonics module volumes - scale out, scale up, scale across volumes - 1.6T/3.2T lifting blended ASP + margins - increase in AI capex This is typically very material read through on the optical sector since: I tend to think of Innolight as a $TSM (semi capex) type read on how the photonics landscape is doing. Eg. Higher silicon photonics penetration means more TAM for cw lasers like $SIVE (cw) / SOI wafer demand for $SOI. ASP hikes for future gen is positive for the other optical markers too. Think my other takeaway outside the report was Innolight stating 800g demand was growing more significantly than expected from their transcript on the 12th. Which in turn signals more demand for names like $AAOI to $LITE next earnings. TLDR: GS gives high earnings projections during a time of massive corrections. Fundamentally, broader photonics ecosystem should be happy when it’s ER time.
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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。
英文原文
@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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苹果或并购AI芯片公司并大幅上调资本支出，利好光网络及代工。
$AAPL 看起来打算收购 AI 芯片公司来运行 AI（来源：The Information）。目前，$MSFT、$META、Amazon、Google 正在承担 AI 资本支出。但如果苹果在并购后加入其他公司呢？一种可能的场景是，他们大幅上调资本支出以建设自己的 AI 基础设施。因为他们可能目睹了 Google 因算力限制切断 Meta 的情况……或者当你与 OpenAI 合作开发大语言模型时会发生什么。然后他们意识到拥有自己的基础设施有多么重要。从光学网络到晶圆代工厂，这一场景在主题上会相当看多，而且是市场意想不到的？让我们看看会发生什么。
英文原文
$AAPL looks to acquire AI chip companies for running AI (Source: The Information) Right now, $MSFT, $META, Amazon, Google are carrying AI capex spend. But what if Apple joined the others after M&A? A possible scenario is that they revise capex largely upward for their own AI buildout. Since they probably witnessed Google cutting off Meta from compute constraints... or what happens when you partner with OpenAI for LLMs. Then learned how important it is to have your own infrastructure. This scenario would be quite bullish thematically from optical networking to foundries and something markets would not expect? We'll see what happens.
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Meta 斥资百亿建数据中心扩 AI 算力，反驳媒体看空论调。
$META 将在加拿大建设一座耗资 100 亿美元的新数据中心，以扩大 AI 算力。媒体将“Meta 计算”框架化为“过度建设”和“削减资本支出”的说法，现在看来真是大错特错。
英文原文
$META to build a new $10B DC in Canada to expand AI capacity. So much for the media framing of “Meta Compute”as overbuilding and cutting capex. https://t.co/0QgSls0s9o
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市场因误导性文章看空Meta算力及NVDA供应链而抛售。
@AlzayakMoh60610 我个人也这么认为。感觉市场在那篇误导性的彭博社关于 $META 算力（Compute）的文章，以及几篇 SemiAnalysis 看空 $NVDA 供应链的帖子发布后，就开始抛售了。因为算法和对“Meta 算力过剩”这一头条的解读，导致资本支出削减并退出。
英文原文
@AlzayakMoh60610 I personally think so. It feels like markets started selling off after that misleading Bloomberg $META compute article, and a couple of SemiAnalysis bear posts on $NVDA supply chains. Since algos + headline interpretation of “Meta excess compute” was cutting capex + dropping out
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MU 广岛扩产利好本土设备商，NAND 短缺持续至 2027 年。
关于存储芯片的一些汇总更新： - $MU 主导在广岛进行新的 1.5 万亿日元（约 93 亿美元）投资。（对 Disco、Advantest、Resonac、Towa 构成利好传导）因为资本支出是本地化的。 - 摩根士丹利指出 NAND 供应短缺将持续至 2027 年，因此 $SNDK /
英文原文
Just some consolidated updates on memory: - $MU leads new 1.5T Yen investment in Hiroshima ~$9.3B. (bullish read through for Disco, Advantest, Resonac, Towa) since capex is localized. - Morgan Stanley pointed out NAND will continue to be in short supply into 2027 so $SNDK /
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博主因误传利空大幅加仓光通信板块，视市场抛售为无关紧要。
@zhouyuan888 我个人今天大幅加仓了一些光通信(optical)头寸。 受虚假的Meta资本支出削减和虚假的共封装光学(CPO)延迟消息影响，市场出现了无关紧要的抛售。 不过我无法建议其他人该怎么做。
英文原文
@zhouyuan888 I personally heavily added to some of my optical positions today. Immaterial selloff off false meta capex cuts and false CPO delays. I can’t give advice on what others should do though.
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驳斥Meta产能过剩论，称光子板块暴跌源于误导叙事。
SemiAnalysis 关于 $META “产能过剩”及 $NBIS 等市场反应的分析： “我们认为 Meta 的数据中心与算力建设将加速”。 “2027 年的资本支出(Capex)将高得令人震惊”。 近期全球暴跌，尤其是光子学(photonics)板块，是愚蠢的……源于误导性的叙事。
英文原文
SemiAnalysis on $META “overcapacity” and market reactions with $NBIS and others: “We believe Meta’s datacenter and compute will accelerate”. “Capex in 2027 will be shockingly high”. Recent global crash, especially in the photonics sector was stupid… Off misleading narratives https://t.co/DhbypH2vaQ
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驳斥Meta退出AI竞争及降资本支出的谣言，引用澄清。
最近关于 $META 的虚假信息很多。近期主要期刊声称：“过去四个月的 AI 智能体(AI Agent)开发并未‘如我们预期般加速’”，以此推动 Meta 退出竞争或降低资本支出(capex)的叙事。正如 Wang 澄清的那样：https://t.co/HQQlnWHXoo
英文原文
Lot of misinformation recently about $META. Recently major journals have been stating “AI AGENT DEVELOPMENT OVER THE LAST FOUR MONTHS HASN'T 'ACCELERATED IN THE WAY WE EXPECTED” To push some narrative about Meta dropping out of the race or lowered capex: As Wang clarified: https://t.co/HQQlnWHXoo
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博主质疑市场因Meta停止AI支出传闻而崩盘的逻辑。
@navborgen 但市场叙事曾声称 Meta 将退出 AI 竞赛，停止资本支出(Capex)，并出售多余算力！！ 真不敢相信这导致了全线崩盘。
英文原文
@navborgen But market narratives were saying Meta would drop out of the AI race, stop capex, and sell excess compute!! Can’t believe that caused everything to crash.
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摩根士丹利上调AI资本支出预期，认为AI板块抛售过度。
@mkfilko 例如，摩根士丹利也预计受 $META 公告影响，AI 资本支出(AI capex)预期将上调…… 因此，所有 AI 概念股(AI names)的抛售似乎有些过火了。 https://t.co/UTyz9a7KrM
英文原文
@mkfilko Morgan Stanley for example is expecting an upward revision on AI capex from the $META announcement too… So selloff on all AI names seems like a bit much. https://t.co/UTyz9a7KrM
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富国银行认为Meta出售多余算力验证了AI需求强劲及新云服务商逻辑。
富国银行：$META 计划出售多余算力，这是关于底层需求和 AI 单位经济学的积极信号。 “尽管有此转变，我们不预计 Meta 的资本支出会缩减，或整体算力需求降低。” 关于新云服务商(Neoclouds)：富国银行认为这验证了 https://t.co/ZUV3ZvOQuA
英文原文
Wells Fargo: $META intent to sell excess compute is a positive signal around underlying demand and unit economics of AI. “Despite this shift, we don’t expect a pullback in Meta’s capex or that overall compute needs are lower” Regarding Neoclouds: WF thinks it validated the https://t.co/ZUV3ZvOQuA
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OpenAI拟向美政府出让5%股份，或获政府隐性支持。
我觉得特朗普可能会喜欢这个想法： 据《金融时报》报道，OpenAI 讨论了向美国政府出让其公司 5% 的股份。 如果这演变成类似 $INTC 的情况，美国政府成为其未来 1 万亿美元以上资本支出/义务的软性后盾，将会很有趣。
英文原文
I feel like Trump is probably going to like this idea: OpenAI discussed giving the US gov a 5% stake in its company per FT. If this turns into an $INTC type situation, would be interesting if the US government becomes a soft backstop for their $1T+ in future capex/obligations. https://t.co/KQZUyd950N
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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 $GOOGL are so compute constrained that they had to cut allocations to Meta
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质疑美国AI巨头资本支出大幅下滑的可能性，并提及中国AI网络威胁论。
很难想象一个世界，其中美国AI超大规模云服务商（Hyperscaler）的资本支出（Capex）从$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）
英文原文
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