Life after work

Warning: The entire AI industry will likely be bottlenecked by two companies: 1. $AXTI ($700M) 2. $SMTOY ($31.7B) Which both control 60–70%+ of the world's InP substrates. Future $NVDA, $GOOGL TPU v7 pods, $META, $MSFT, $AMZN hyperscaler clusters require InP-based lasers and receivers. $AVGO, $LITE, $COHR use for EMLs for 800G/1.6T transceivers, DFB lasers, and other optical infra. Without InP substrates, the supply chain falters. After looking at TPU BOM to Maia BOM, it looks like future ASICs + GPUs + hyperscaler deployments are heavily reliant on photonics. And two vendors could freeze the global InP substrate market covering nearly all of: - Hyperscaler optics (TPU pods, etc) - Optical transceivers (5g, data) - LiDAR (robotaxis, drones, military) -Optical Modules (interconnect clusters) - Silicon photonics laser dies (Nvidia’s future co-packaged optics and Intel/Broadcom SiPh engines use InP CW laser arrays.) Since these companies make up majority of the market supply: -AXTI (est. ~30–35%) -Sumitomo (est.~30%) - JX Nippon (est. 10-15%) That’s it. (eg. 2021 industry note from Yole states that "Sumitomo Electric + AXT together had “more than 75%” of the InP substrate market") Hyperscalers/AI are moving toward photonics but the entire AI industry is fragile. If either $AXTI or $SMTOY stop supplying materials, the entire future AI buidlout gets crippled. It's even crazier that a $700m company could become the the center of it all. InP substrate will likely one of the biggest bottlenecks alongside HMB as the AI industry shifts to photonics.

Changed my mind about Soitec ( $SLOIF ) and took a sizable position ~43 for CPO exposure. $NVDA GTC next week biggest catalyst pushing photonics and this architecture. ~1.5B euros MC. Trading at 1x book value and ~2x P/S (very depressed valuations) Genuine monopoly over substrates side for CPO (typically very premium valuations for photonics + even extra premium for monopoly status) Algos and analysts might get confused over market share but it’s an actual monopoly over SOI substrates since they give licenses to other players like Shin Etsu for diversification sake eg. $TSM doesn’t like just 1. I don’t think institutions will wait until next year to frontrun these names like Soitec or $TSEM (and most probably haven’t even heard of these names like $AXTI yet) This timing would be buying the likely bottom of the depressed smartphone cycle, while getting full upside of CPO mid-late 2027 + $NVDA GTC catalyst next week. I personally think it’s a 3x from here so I went long.

Wow One of the best days of the year for new highs - $RSP near highs and growth stocks destructed My screens are again full of stuff; just not the stuff I usually am in. ROTATION baby. Rarely see this.

$HIMS weekly Not sure if this is why shorts are doubling down but 200 weekly moving average is a good target for algos, this is also where the previous all-time high is

$PLTR valuation makes ZERO sense But then why do institutions keep buying it? What do they know that you don't? I work in BIG DATA analytics and let me share the secrets of Palantir in the most basic way Palantir has monopoly on Automated Governance, serving as the ultimate Operating System for Data and Global Decision-Making. The world is starting to see the massive benefits of AI agents developed on the Palantir platform, which boost efficiency, drive higher earnings, and outpace the competition. Over time, Palantir will reign supreme among AI agents, with all other AI entities eventually integrating into the powerful Palantir Ecosystem. This is just the beginning. Think of $MSFT Windows. Before Windows, people relied of MS-DOS (which is another OS) and before that it was CP/M which were really bad Operating Systems. The Tools didn't talk to each other. You couldn't multitask. You couldn't perform Technical Analysis while at the same time executing the trades. You couldn't stream your games on Youtube while playing it. It was limited and fragmented into separate sessions and executable files (.exe). You were LIMITED, much less efficient. It is exactly the same for all Governments and Corporations and right now. They've grown so big, beyond scalability. Tons of data are being generated by too many programs, locations and departments. Each source of data have different expertise of people with totally separated ownerships and power over the data (e.g. Business Dept. vs Manufacturing Dept). Just like it was inefficient or impossible for MS-DOS to transfer data from one application to another in real time. It is inefficient to transfer the data from one department to another for a simple decision-making. It takes so much time, resources and too many meetings. It could take days if not weeks to get it done. Why? Because of ownership and qualifications over the data. If you don't work in the Business department then you don't qualify to play with that data. If you don't work in manufacturing department, you can't own the data. So in order to unify the two data sources. You are reliant to different groups. That's only one small example. Think of your responsibilities in your own household. One partner is probably more accurate on handling the grocery list and school events while the other is more reliable in fixing cars and backyards. As a 3rd person (perhaps an accountant), you would be reliant on each of them to provide the receipts for their own spendings. This is where Palantir's Ontology kicks in. Voila, it unifies every single data source and specialties within the company. Think of Palantir's Ontology as a digital map for a company's data. It organizes all the information in a way that makes sense, connecting different pieces of data to each other and to real-world things, like products, equipment, or customer orders. Imagine you have a messy room with all your stuff scattered around. The Ontology is like a system that helps you organize everything neatly, so you can find what you need quickly and easily. It's a way to make sense of a lot of data and use it effectively. Palantir solves scalability and reduces big corporations and governments down to its core principles, to make a good decision. With Palantir, it is much easier to grow, digitally. “There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every two days.” — Eric Schmidt “Information is the oil of the 21st century, and analytics is the combustion engine.” — Peter Sondergaard “Without big data, you are blind and deaf and in the middle of a freeway.” — Geoffrey Moore Companies don't like to be blind and deaf in the middle of a freeway nor to be underperforming to be punished by the stock market. Eventually, all the data we generate will be more complex and too much for humans to digest them all. We will eventually need a AI to do that job for us but more importantly we need a stable platform for AI agents to stand on, you can't throw an AI agent in the water and expect to swim. AIs need.. ONTOLOGY. Think of AI agents as Culinary Chefs. The Palantir AI chefs will have all the ingredients and tools in ONE COMMON PLACE to make magic happen, enabling on-the-fly decision-making without the hindrances of bureaucracy or data ownership issues. This unity is the game-changer. Palantir is... A Super Integration Company And that is vastly more superior and transformative than the hype of 'AI' You can hire the best Chef in the world but without fresh ingredients and tools, he will never be effective. So that's why it's not just about AI agents, it's more about what's available to them, a unified kitchen full of many ingredients, recipes, assistants and tools. PALANTIR ONTOLOGY is precisely that Kitchen, an Operating System of Data and Global Decision-Making Just like how $MSFT has become essential to our every day lives, $PLTR will become essential to every single businesses and governments in the world. It's just matter time. The monopoly is here to stay. Is $PLTR valuation through the roofs? Hell Yeah, but what's the alternative? NONE

$QQQ Nasdaq. Are we about to break the structure and challenge ATH $637? All up to $MSFT $TSLA $META $NOW $IBM $LRCX $CLS earnings tomorrow. Also Fed Interest decision.

$IREN Update Seasonal strength very strong over the next 2 weeks: Average return: 49% Worst return: 18% Earnings on Thursday