英伟达之外的 AI 基础设施：真正的瓶颈在哪里——电力、内存还是网络？

投资者摘要看多

作者寻求英伟达之外 AI 基础设施标的的看空理由与估值风险，重点关注电力、网络和内存瓶颈。

看多要点

AI 数据中心的扩展从根本上受限于电力、网络和 HBM 内存，为这些板块创造了长期顺风。
除了英伟达等明显赢家外，二级基础设施供应链提供了巨大的长期投资机会。

看空要点

如果 AI 资本开支放缓 30-40%，可能会严重影响这些基础设施公司的盈利和估值。
极高的市场预期和潜在的估值过高，构成了未来三年可能令人失望的风险。

ANET NVDA MU GEAI 资本开支AI 电力 / 核能半导体

帖子正文

高质量模型翻译结果

我正在构建一个长期的人工智能基础设施观察名单，试图理解市场可能仍低估了哪些瓶颈。

我目前在研究的公司有：

Eaton (ETN)

施耐德电气

GE Vernova (GEV)

Arista Networks (ANET)

美光科技 (MU)

我的观点是：

英伟达和台积电显然是赢家。

接下来的瓶颈可能是电力基础设施、网络和内存。

人工智能数据中心的扩展离不开电力、变压器、开关设备、冷却系统、网络以及高带宽内存（HBM）。

对于那些密切关注这些公司的朋友：

每家公司最强烈的看空理由是什么？

哪一家公司目前最被高估？

哪一家在未来三年内最有可能令人失望？

如果人工智能资本开支下降30%到40%，这些公司中谁会受到冲击最大？

哪一家最被市场误解？

我并不寻求价格目标或短期交易建议。我真正关心的是理解这个逻辑可能出错的地方。

讨论 · 高赞评论10 条精选

u/OutMotoring 9· 4 天前

Did u just wake up from a long slumber?

u/TheConstellationGuy 8· 4 天前

You’re way late to this party already OP. These names you listed were noticed by Q1-2 2025 and all already found out and priced by Q4. At this point, you have to look for much smaller risky bets that may have some ties to data centers - I’m talking very niche names like $PPIH. The multibagger run up on your list is long gone. I found $FIX late 2024 and purchased April 2025 at about 15x earnings at $350 per share. Now it’s 55-60x earnings at $2000 per share. Basically, the same thing has already happened for all the other names you posted.

u/Sllyce 1· 4 天前

Where was TheFixGuy in late 2024 ? 😩

u/TheConstellationGuy 3· 4 天前

I made multiple posts about it on my other account u/Aevykin which has since for whatever reason been shadowbanned. My first post was over 1 year ago. It got a whopping 8 upvotes. I’ll show a DM of the post.

u/No_Effective6401 1· 4 天前

Thanks for the context!

u/TheConstellationGuy 1· 4 天前

Sure, to answer your other question, everything would be hit very hard if 30-40% cap ex slow down was announced. My guess at least 30-40%.

u/notreallydeep 4· 4 天前

The next bottlenecks may be power infrastructure, networking and memory.

What's your LLM's knowledge cutoff, 2024?

u/Ehh_littlecomment 3· 4 天前

Apeing into the AI isn’t value investing by any measure. The actual bottleneck for AI buildout is revenue. And I haven’t seen any credible answer to where the trillions in revenue actually comes from.

Even the premier AI labs are making maybe 100-150 bn in run rate revenue combined whereas the actual required revenue is more than a trillion to make a respectable return on the capex.

u/coopermug 2· 4 天前

Honestly if capex slow by 30-40%, the whole AI buildout narrative will get destroyed. It doesn't matter if it's mega stocks like NVDA, power stocks like bloom energy, AI infrastructure like Vertiv. All will get destroyed.

u/AlGAdams 1· 4 天前

AI has the most over studied supply chain on earth.

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