Just came across one of the best market breakdowns I’ve seen in a while. If you’re trying to understand where capital is actually flowing right now — and which sectors are leading vs lagging — this is worth 2 minutes of your time. Most investors focus on stocks. The smart ones focus on sectors first. substack.com/@alphametrics1/…

I’ve been following @AlphaMetrics in Substack for a while and this is exactly why. When $DUOT was down and sentiment was negative, he wasn’t talking about price action. He was talking about fundamentals and conviction. 71% just 10 days later. Most people react to volatility. The best investors focus on the thesis. Definitely worth reading his work if you’re serious about finding opportunities before the crowd 👇 substack.com/@alphametrics1/…

The Next AI Battleground Might Be Your Laptop For the last two years, investors have been focused on one thing: AI data centers. GPUs. Networking. Power infrastructure. Cooling. But what happens when AI moves from the cloud… directly onto every device people use every day? That may be exactly what NVIDIA is hinting at. The company recently posted nothing more than coordinates pointing to Taipei ahead of Computex and three simple words: “A New Era of PC.” If the rumors are correct, NVIDIA could be preparing to enter the PC processor market with an ARM-based AI-native chip, reportedly developed alongside MediaTek. The important part isn’t the product itself. The important part is what it represents. AI is no longer just a data center story. It is becoming a consumer hardware story. A device story. A software ecosystem story. And eventually a trillion-dollar platform story. For years, Intel, AMD and Qualcomm dominated this category. Now the company that became the backbone of the AI revolution appears ready to attack another massive market. As investors, this is exactly what we should be paying attention to: Not where capital has already flowed. But where the next wave of capital could flow next. The biggest returns often come from identifying the next layer of an emerging ecosystem before the crowd realizes it exists. And right now, AI PCs may be one of the most important themes to watch heading into the second half of 2026. 🚀

Just finished reading this. One of the best deep dives I’ve seen recently on the robotics opportunity — especially the small-cap names most of Wall Street still seems to be ignoring. The infrastructure layer behind physical AI could become much bigger than people expect. open.substack.com/pub/alpham…

This photonics/optical infrastructure post is honestly one of the best AI infrastructure breakdowns I’ve read in a while. The market is still massively underestimating how important the optical layer could become for scaling AI. Definitely worth reading if you want to understand where the next phase of AI may be heading. substack.com/@alphametrics1/…

Just read one of the most interesting breakdowns I’ve seen on the potential SpaceX IPO. The part that really stands out: ~$1.75T valuation ~93x revenue Possibly the biggest IPO Wall Street has ever seen Sounds completely insane… until you realize the market may be valuing future infrastructure dominance rather than current fundamentals. Whether you’re bullish or bearish, this debate is going to dominate financial markets if the IPO happens. Worth the read: substack.com/@alphametrics1/…

The market still treats $LUNR like a speculative lunar startup. After digging into the company, I think it’s becoming something much bigger: a vertically integrated space infrastructure company. • $943M backlog • Defense NASA exposure • Satellite manufacturing • Lunar communications infrastructure The real opportunity may not be the Moon. It may be building the infrastructure layer of the space economy. Full thesis: open.substack.com/pub/alpham…

Just finished reading this breakdown on the potential SpaceX IPO proxy trade — and honestly, it’s one of the clearest explanations I’ve seen of why a lot of these “SpaceX exposure” plays may already be getting aggressively overpriced. Especially the point about second-order effects across the entire space sector once SpaceX gets a public valuation benchmark. Definitely worth the read if you’re following space, AI infrastructure, or speculative momentum trades. substack.com/@alphametrics1/…

One of the biggest mistakes investors make is assuming the best opportunities appear when sentiment already looks good. Usually it’s the opposite. The market often starts pricing the future only after the narrative becomes obvious to everyone. That’s why some of the most asymmetric setups appear in sectors that currently feel “uninvestable”. Healthcare last year. Energy before the nuclear rebound. Even semis before the AI explosion fully accelerated. Now fintech is entering that conversation. Not saying every beaten-down fintech stock will recover. Most won’t. But when an entire sector gets heavily discounted while fundamentals in certain names continue improving, that’s usually when it becomes worth digging deeper instead of following consensus blindly. Sometimes the market hates a sector right before it realizes it still needs it.

I largely agree with this thesis. I bought $UUUU under $8 for the mill. Lots of uranium options in the world, but almost no domestic REE. That said, still feels pretty fully valued until they stop spending on aquisitions, and start making money off of them. Thanks for sharing.

Just finished reading this deep dive on $UUUU / Energy Fuels and honestly it’s one of the most interesting strategic materials theses I’ve seen recently. Great framing around AI infrastructure, nuclear power, rare earths and U.S. supply-chain independence. Definitely worth reading if you follow uranium, critical minerals or second-order AI beneficiaries. open.substack.com/pub/alpham…

The market is starting to realize that the $CBRS IPO may become much bigger than just another AI listing. What’s interesting is not only Cerebras itself, but the entire second-order ecosystem around AI compute infrastructure, power demand and capacity expansion. Names like $DGXX are increasingly being viewed as indirect ways to gain exposure to the AI infrastructure buildout without chasing the headline trade directly. Tomorrow could say a lot about how aggressive risk appetite still is around the AI supercycle.

Tomorrow is going to be a big day. $CBRS IPOs tomorrow and $DGXX is my favorite proxy. Most people are going to try to chase Cerebras on day one. The IPO was oversubscribed, raised from $115-$125 to $150-$160, upsized to 30 million shares, and Polymarket has it closing above $50 billion on day one. Getting in at a good price on the IPO itself is nearly impossible for retail. So instead of chasing it I am watching $DGXX. Digi Power X signed a 10 year $1.1 billion colocation agreement directly with Cerebras to build and operate their AI data center campus in Columbiana Alabama. Up to $2.5 billion in total expansion options. Phase 1 operational by December 15 2026. A $50 billion AI chip company going public tomorrow. The company building their infrastructure has a $550 million market cap. When $CBRS starts trading tomorrow morning and every financial headline is about the hottest AI IPO of 2026 the market is going to start mapping who actually builds what Cerebras runs on. That connection gets made fast. The re-rate for $DGXX does not happen gradually. It happens in real time. Tomorrow is going to be interesting. $DGXX $CBRS

BREAKING: NVIDIA is now worth more than the GDP of every country in the world except the USA and China.

Just finished reading this deep dive on Cerebras ( $CBRS ) and honestly one of the most interesting AI infrastructure theses I’ve seen in a while. The piece breaks down why the market is suddenly paying so much attention to wafer-scale compute, inference economics, and the potential challenge to NVIDIA’s dominance. Definitely worth the read if you’re following AI infrastructure, semis, or asymmetric opportunities. open.substack.com/pub/alpham…

Just finished reading one of the most interesting AI infrastructure theses I’ve seen recently on Vertiv ( $VRT ). Most investors focus on GPUs and models. Very few are paying attention to the physical bottlenecks actually enabling AI at scale: Power. Cooling. Data center infrastructure. And that may become one of the most important layers of the entire AI economy over the next decade. Very worth reading if you’re researching long-term AI infrastructure opportunities. open.substack.com/pub/alpham…

The most dangerous part of a bull market isn’t the crash. It’s the moment when everything starts feeling “too easy.” Extreme bullishness usually shows up when liquidity and euphoria are already elevated. Doesn’t mean the rally ends tomorrow — but risk/reward definitely starts changing. The AI/infrastructure trend still looks very real structurally. But from here, what you own, your entry, and your time horizon matter more than ever.