· 供应链分析
涉及标的： $NVDA$AXTI$SOI$SIVE$IQE$NBIS$MU$SNDK
根据 $NVDA 黄仁勋预测，到2030年 AI 资本开支预计将达到每年“3到4万亿美元”。 你还不够看多。 保持敞口并拥有 AI 王国钥匙，可能是个好主意： -> $AXTI 控制光子学材料建设。 -> $SOI 通过硅光子控制 AI 建设。 -> $SIVE 控制 CPO 的激光瓶颈。 -> $IQE 控制西方光子学外延片供应链。 这些公司最初都很小，但预测中的万亿美元资本开支正逐渐向它们上游流动。 其他行业也有许多类似例子： -> AI 资本开支流向 $NBIS 等 Neocloud。 -> AI 资本开支流向 $MU 和 $SNDK 等存储。 过去20年许多“商品”材料或“科学项目”，现在突然出现指数级 TAM 扩张。 我们正在见证人工智能 + 物理 AI 带来的下一次工业革命。
AI capex spend is expected to go to "$3 to $4 trillion annually" by 2030 from $NVDA Jensen Huang projections. You're not bullish enough. And it might be a good idea to stay exposed + own the keys of the AI Kingdom: -> $AXTI controls the materials buildout with photonics. -> $SOI controls the AI buildout with silicon photonics. -> $SIVE controls laser chokepoints for CPO. -> $IQE controls Western epiwafer supply chains for photonics. All these started off as tiny companies, yet the trillions of projected capex gradually upward to them. There's many more in other industries as well. -> AI Capex flows to Neoclouds like $NBIS. -> AI Capex flows to memory like $MU and $SNDK. And many of the "commodity" materials or "science projects" for the past 20 years now a sudden shift in exponential TAM expansion. We're witnessing the next industrial revolution with Artificial Intelligence + Physical AI.