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and yet you recommended passing on them
You concluded pass on construction companies in your post
They have too much overhead, margins are thin
Perplexity:
Here’s a practical ranked watchlist by AI exposure, focused on where the article suggests the durable money may flow.
Highest-conviction AI infrastructureHighest-conviction AI infrastructure
- TSMC — probably the cleanest “picks-and-shovels” exposure if AI chip demand keeps rising, since the article points directly to manufacturing strain and capacity pressure.https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/80009512/003667cb-5595-46ae-bebb-bf6f6e01deb4/Who-Owns-the-Future-of-AI.pdf
- NVIDIA — still the most direct beneficiary of AI compute spend, though the trade is more crowded and valuation-sensitive than in earlier phases.
- Broadcom — attractive if you want exposure to AI networking, custom silicon, and infrastructure rather than just GPUs.
- Arista Networks — benefits from the data-center networking buildout that follows AI cluster expansion.
- Micron — memory demand can become a second-order winner when AI deployments scale.
Cloud and platform layerCloud and platform layer
- Amazon / AWS — the article suggests AWS is regaining importance in the AI race, so Amazon has become a more credible AI infrastructure owner again.https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/80009512/003667cb-5595-46ae-bebb-bf6f6e01deb4/Who-Owns-the-Future-of-AI.pdf
- Microsoft — still strategically strong because of its AI distribution and enterprise reach, though the article’s tone suggests the “winner-take-most” thesis is less clear than it was a year ago.
- Alphabet — worth watching because of AI research strength plus cloud and advertising integration, but execution risk remains.
Secondary beneficiariesSecondary beneficiaries
- Vertiv — data-center power, cooling, and thermal management can compound as AI clusters grow.
- Eaton — electrical infrastructure and power distribution are underrated AI beneficiaries.
- GE Vernova — if AI data centers keep driving incremental power demand, utility and grid buildout names can matter more.
- Super Micro Computer — a high-beta play on AI servers, but more volatile and operationally risky.
Higher-risk private-market signalsHigher-risk private-market signals
- Anthropic — the article frames it as the presumptive front-runner in model competition, but it’s private, so most investors can only access it indirectly through partners and infrastructure suppliers.https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/80009512/003667cb-5595-46ae-bebb-bf6f6e01deb4/Who-Owns-the-Future-of-AI.pdf
- OpenAI — still a major force, but the article hints that growth may be normalizing, and the company’s structure adds governance complexity.https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/80009512/003667cb-5595-46ae-bebb-bf6f6e01deb4/Who-Owns-the-Future-of-AI.pdf
- SpaceX-related compute partnerships — interesting strategically, but not a straightforward public equity theme; the article mentions SpaceX renting compute to Anthropic, which is more of a signal than a direct investment path.https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/80009512/003667cb-5595-46ae-bebb-bf6f6e01deb4/Who-Owns-the-Future-of-AI.pdf
How I’d rank the themeHow I’d rank the theme
If I had to simplify it, I’d group the opportunity like this:
| Tier | Theme | Why it matters |
| 1 | Chips and foundries | Every AI winner needs compute, and the article emphasizes supply strain https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/80009512/003667cb-5595-46ae-bebb-bf6f6e01deb4/Who-Owns-the-Future-of-AI.pdf. |
| 2 | Cloud and data centers | AI growth translates into rented compute and infrastructure buildout https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/80009512/003667cb-5595-46ae-bebb-bf6f6e01deb4/Who-Owns-the-Future-of-AI.pdf. |
| 3 | Power and cooling | The physical bottlenecks become more valuable as clusters scale. |
| 4 | Model companies | Big upside, but more valuation and governance risk https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/80009512/003667cb-5595-46ae-bebb-bf6f6e01deb4/Who-Owns-the-Future-of-AI.pdf. |
The key takeaway is that the article supports owning the infrastructure behind AI more strongly than trying to predict which chatbot brand wins outright.https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/attachments/80009512/003667cb-5595-46ae-bebb-bf6f6e01deb4/Who-Owns-the-Future-of-AI.pdf
Would you like a version narrowed to only large-cap stocks, or a more aggressive list including mid-cap names?
For a more aggressive AI basket, I’d tilt toward higher-beta names that can move sharply if AI spending stays hot.
Aggressive AI namesAggressive AI names
- Super Micro Computer — very direct AI server exposure, but execution and margin risk are real.
- AMD — strong upside if it keeps taking share in AI accelerators and inference.
- Arista Networks — benefits from AI data-center networking growth, with better quality than many high-beta peers.
- Micron — a cyclical memory play that can outperform if AI demand tightens supply.
- C3.ai — much riskier, but can pop hard on sentiment shifts around enterprise AI adoption.
- BigBear.ai — pure speculation more than fundamentals, but it’s one of the more aggressive public AI trades.
- Serve Robotics — a small-cap AI/automation story with much higher volatility.
More speculative angleMore speculative angle
If you want the most aggressive approach, I’d focus on:
- Semis with AI leverage: AMD, Super Micro, Micron.
- Network bottlenecks: Arista.
- Small-cap sentiment names: C3.ai, BigBear.ai, Serve Robotics.
How to size itHow to size it
A more aggressive AI basket usually works better as a small sleeve rather than a core holding. The risk is that these names can fall hard if AI capex slows, margins compress, or the market rotates away from the theme.
A simple aggressive split could be:
- 40% semis.
- 30% AI infrastructure.
- 30% speculative small caps.
I’d keep the speculative names smaller than the infrastructure names, because the volatility is much higher.
I didn't see many kids on the Norwegian Dawn
Have you taken a cruise to Alaska? Sounds like Princess or Holland America are best for Alaska
NCL has lots of activities for kids including arcade, I was tempted to play in the arcade but decided against it lol
I met 2 passengers who were Diamond or Sapphire members, they were very happy with NCL
Yes, I prefer zero days at sea
What is your preference?
NCL has zero day at sea voyages
I have been to one cruise, first one on May 3
Do you have a brand preference?
I finally joined last week!