· 供应链分析
涉及标的： $AMZN$GOOGL$META$MSFT$NVDA
相关概念： CPO 共封装光学AI 资本支出InP 磷化铟衬底新云算力 Neoclouds
作为业绩复盘：$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。
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.