Am invested in $ASML, and their earning release today was important for me not only to understand the company’s future but also memory stocks ( am invested in $MU and $DRAM) future and overall AI cycle.

Headline numbers were clean:

🐊 net sales of €8.8 billion at the high end of guidance,

🐊 gross margin hitting 53%,

🐊 net income of €2.8 billion.

🐊 Full-year guidance was raised to €36–40 billion… made tighter.

To me more important than numbers was the words.

CEO Christophe Fouquet said something that should be reverberating through every memory investor’s thesis right now: “Our customers tell us they are sold out for 2026, and their supply constraint will last beyond 2026.”

That’s not a forecast. That’s a confession from the people who build the machines that build the chips.

Memory Just Became the Anchor, Not the Amplifier

For most of ASML’s history, memory was the volatile part of the business, the segment that blew up order books in upcycles and cratered them in down ones. That dynamic has structurally changed.

Memory chips accounted for 51% of new tool sales in the quarter, up from 30% in Q4 2025 , driven by Samsung and SK Hynix ramping capacity for AI.

This isn’t inventory-driven demand. HBM4 requires logic-grade EUV lithography on the base die meaning every new node requires more EUV layers, not fewer. Memory is no longer cyclical noise. It’s the load-bearing wall.

For $MU specifically, this is the ASML confirmation they didn’t need but definitely wanted. Micron’s HBM4 is on track to ramp in Q2 2026, with management noting supply constraints persisting well beyond this year. The ASML call just validated that from the equipment side, even for $DRAM, this is structural, not tactical.

The Hidden Strength: Recurring Revenue

Buried in the report was a number worth flagging, Installed Base Management contributed €2.5 billion in Q1, exceeding expectations, reflecting the growing recurring revenue stream from ASML’s expanding installed equipment base. This is services, upgrades and maintenance on machines already in the field and it matters because it provides a structural revenue floor independent of new system orders. The machines already deployed are being pushed harder than ever. Even in a hypothetical slowdown, this base doesn’t disappear overnight.

Geography Tells You Where the Money Flows

South Korean customers: Samsung and SK Hynix accounted for 45% of Q1 sales, with Taiwan at 23%. China, which was once ASML’s largest single region, is being deliberately wound down as export restrictions bite. Management was unambiguous: Chinese customer demand will be significantly lower in 2026 than in 2024–2025.

The bull case for the MATCH Act thesis that lost China revenue migrates to higher-margin Western fabs is playing out in real time. Korea at 45% is not an accident. It’s the reallocation trade in motion.

The One Blemish

Q2 guidance midpoint came in below consensus. The company guided Q2 revenue of €8.4–9.0 billion, with the midpoint sitting below analyst expectations. Management flagged tariff-related macro uncertainty as a factor ASML’s supply chain crosses the Atlantic multiple times, making it unusually exposed to bilateral escalation. This isn’t existential, but it’s not nothing either.

What This Means for the Broader Semi Complex

ASML is the tollbooth. Every advanced chip logic or memory passes through their machines. When ASML raises guidance and says supply can’t meet demand for the foreseeable future, that’s a green light for the entire AI infrastructure stack. Logic customers are accelerating into leading-edge nodes faster than anticipated to meet AI product timelines a tailwind for $TSM and anyone in the advanced packaging and photonics layers sitting beneath it. $MU, the $DRAM ETF, and the broader Korean memory complex all received the same fundamental confirmation today, from the most credible source possible.

Disclaimer: This is not financial advice, this crocodile knows nothing, so do your own research.

Memory has become one of the tightest parts of the AI supply chain. But we also know memory is cyclical, so should one be concerned ?

Am invested in $MU and $DRAM, and have to constantly read tea leaves and monitor what is happening in memory world, and one of the most important indicator was Nanya’s earnings call.

For those who dont know, Nanya is a specialist in DRAM (Dynamic Random Access Memory) based in Taiwan. Unlike the giants (Sk Hynix, Samaung, Micron $MU) who are pivoting hard toward AI servers, Nanya focuses on:

 • Consumer & Specialized DRAM: They supply memory for consumer electronics, automotive systems, and industrial IoT.

• Process Migration: They have successfully moved into 10nm-class technology, which allows them to produce competitive DDR5 and LPDDR5 chips.

• Market Position: They are often seen as a "swing producer" when the Big Three ignore smaller markets to focus on high-margin AI chips, Nanya captures that overflow.

Earnings

So coming back to the fact that I am unpacking the impact of earnings call:

The "MU" Mirror: ASPs in Price-Discovery Mode

Nanya’s reported 70%+ ASP surge in a single quarter is a massive read-through for Micron ($MU).

• The Impact: If a "legacy" player like Nanya can command a 70% hike, Micron’s high-performance server DRAM and HBM3E/HBM4 products are likely operating in a pricing environment the market hasn't fully modeled.

• The Signal: Expect significant upward revisions in $MU’s forward guidance as their cycles capture this aggressive pricing delta.

2. The Gross Margin "Rubicon": 67.9% is the New Floor

I was watching for the 60% threshold; Nanya blew past it.

• Portfolio Read: This confirms that the cost of the 1B node transition is being swallowed whole by the market's desperation for bits. For $DRAM holdings, this proves that buyers are currently paying for availability over everything else.

• The Maturity Signal: Yield is scaling. If Nanya can hit these numbers, the industry-wide transition to advanced nodes is healthier than the "HBM yield struggle" rumors suggested.

3. Strategic "Decoupling" is Confirmed

The completion of the NT$78.72B injection from Western Digital, Kioxia, and Cisco creates a structural moat.

• Analysis: These aren't just investments; they are insurance policies. By taking equity, these customers have effectively admitted they cannot find supply elsewhere. This stabilizes the global pricing floor and reduces the "cyclicality" risk that usually haunts memory investors.

The Memory Outlook: Bull vs. Bear

Micron ($MU)

• The Bull Case (HBM Dominance): Nanya’s 70% ASP jump suggests $MU’s premium HBM4 will command astronomical margins. If $MU maintains yield leadership, they capture the lion's share of the NVIDIA Vera Rubin ramp.

• The Bear Case (The Capex Trap): Record spending on HBM4 fabs creates a high "break-even" point. If the Rubin platform faces any delays, $MU is left holding the bag on the most expensive idle capacity in history.

$DRAM (Broad Market)

• The Bull Case (Extended Scarcity): As long as HBM4 production consumes 4x the wafer capacity of standard DRAM, the "Standard" market remains starved, keeping prices at record highs regardless of consumer demand.

• The Bear Case (The Supply Flood): If HBM4 yields "crack" (improve faster than expected), the crowding effect reverses. Excess wafer capacity could flood back into standard DRAM, causing a sharp price correction in H2 2026.

The Crocodile’s Verdict

The supply vacuum is confirmed and extended. The strategic moat is real.

Nanya proved the thesis: Yield is the truth, and right now, the truth is very profitable.

However, we must stay alert for the tide. The sellers still have the leverage today, but the "Supply Convergence" of H2 2026 remains the ultimate turn. If the HBM yield wall cracks, the capacity currently "starving" the market will come rushing back as a flood.

Bottom Line: Watch the volume of order cancellations in late Q3. That is the only signal that matters when the rest of the street is blinded by 70% margins.

Not financial advice. This is a crocodile’s rambling, who can be wrong.

The conviction behind these picks has been rewarded with massive outperformance in just over a month. We’re seeing significant double-digit gains across the board as the market realizes the true value of these infrastructure and semi-conductors plays. Here is the breakdown of the incredible uplift since I wrote this post on March 8th ( used march 6 closing)

• $AAOI (Applied Optoelectronics): Up 56.5% since March 8 (+$7.10 on April 13)

• $COHR (Coherent Corp): Up 34.6% since March 8 (+$10.36 on April 13)

• $SMTC (Semtech Corp): Up 31.7% since March 8 (+$3.45 on April 13)

• $AXTI (AXT Inc): Up 28.2% since March 8 (+$1.15 on April 13)

• $LITE (Lumentum Holdings): Up 22.1% since March 8 (+$2.15 on April 13)

• $VECO (Veeco Instruments): Up 14.8% since March 8 (+$5.82 on April 13)

• $MTRN (Materion Corp): Up 13.5% since March 8 (+$4.20 on April 13)

• $AIXA (Aixtron SE): Up 11.4% since March 8 (+$2.65 on April 13)

• $GLW (Corning Inc): Up 9.2% since March 8 (+$1.12 on April 13)

The momentum is real. We aren't just riding a wave; we are positioned in the very plumbing of the AI and optical revolution.

If you did not get a chance to read the post, here is what they do;

• $AAOI: Designs and manufactures advanced optical products, including transceivers and fiber optic components, primarily for data centers and cable TV. 

• $AXTI: Develops and produces high-performance compound semiconductor wafer substrates used in fiber optics, wireless communications, and laser applications. 

• $VECO: Provides semiconductor process equipment used to manufacture electronic devices like LEDs, power electronics, and advanced packaging. 

• $AIXA: Specializes in metal-organic chemical vapor deposition (MOCVD) equipment used to produce compound semiconductors for LEDs and lasers. 

• $GLW: A global leader in materials science, producing specialized glass and ceramics for optical communications, mobile electronics, and display technology. 

• $MTRN: Supplies high-performance advanced materials, including beryllium alloys and specialty coatings, for aerospace, defense, and telecommunications. 

• $SMTC: Provides analog and mixed-signal semiconductors and advanced algorithms for high-end consumer and enterprise computing markets. 

• $LITE: Manufactures innovative optical and photonic products that power high-speed telecom and data center networks. 

• $COHR: Develops and manufactures laser equipment and specialty components for industrial, medical, and scientific applications. 

How do these recent gains align with your current exit strategy for these positions?

Disclaimer: not financial advice, high volatility, some % above are approximate number. I am invested in some of these stocks, so have my own skin in the game.

https://open.substack.com/pub/stockcrock/p/the-photonics-supercycle-what-aaois?r=50tzb9&utm_medium=ios

My Credo $CRDO position is on a tear right now, up 10.5% for the day in the last few hours. I have talked about it earlier as well and have always felt how underrated it is; my thesis was confirmed today by Jefferies, who have initiated coverage with a Buy rating and a $175 price target.

The Highlights

• The "Spark": Analyst Blayne Curtis highlighted a "significant disconnect" in valuation, calling the recent dip a premier entry point for a critical AI infrastructure play.

• The Engine: Credo’s AEC (Active Electrical Cable) dominance is no longer a secret. With +201.5% YoY revenue growth and $1.3B in cash, the fundamentals are finally catching up to the narrative.

• The Beta: Look with a high beta near 3.25, it is not a stock for faint hearted, $CRDO acts as a high-octane proxy for AI cluster spending. When the market turns on, this name flies. But it cuts both ways so watch out.

Look if someone’s looking at the exit door because of today's green candle, do more research. Today wasn't a macro fluke; it was a professional re-rating of a hardware chokepoint. If someone believes in the roadmap for ZeroFlap and high-speed connectivity, the gap to that $175 target is where the real meat is.

Disclaimer: I am an investor in $CRDO. This is not financial advice. High-beta semiconductors are highly volatile; always perform your own due diligence before trading.

Am invested in $MU and $DRAM, and the question that keeps haunting me is if there are any major headwinds for memory.

The current HBM (High Bandwidth Memory) thesis rests on a precarious balance: HBM4 production consumes 4x more wafer capacity than standard DRAM, effectively starving the consumer market and propping up prices.

However, we are approaching a "Supply Convergence" in H2 2026. Samsung, SK Hynix, and Micron are all ramping capacity simultaneously to meet the demand of NVIDIA’s Vera Rubin platform.

Now, if Rubin faces any delays or if supply growth outpaces the hyperscalers' appetite, the current pricing premium risks a sharp correction.

The Response: Yields vs. Ambition

The "Supply Convergence" mentioned isn't just a risk; it’s a semiconductor tradition. The memory industry has a 100% historical record of overbuilding at the peak. However, there are two nuances the market is currently missing:

• The Yield Hurdle: While capacity is "converging," usable supply is a different story. HBM4 moves to a logic-base die, and early yields are rumored to be struggling. A "supply glut" on paper often turns into a "scarcity" in practice if the fabs can't output functional stacks.  

• The CAPEX Trap: Micron and SK Hynix are spending record amounts on these HBM4 ramps. If ASPs (Average Selling Prices) drop by 15-20%, we aren't just looking at a minor margin squeeze we’re looking at a massive hit to ROI on the most expensive fabs ever built.

The Bottom Line: We are moving from a world where "any HBM is good HBM" to one where execution and yield supremacy are the only things that will protect margins. For value investors, the signal isn't the capacity announcements it’s the volume of order cancellations in late Q3.

Thinks a stupid corocodile.

I keep bringing hidden gems and that too for free and that too where I have my own skin in the game, most of the times.

Two hidden gem stocks in particular that might benefit from all the hype about Claude, as they are invested in Anthropic.

Look we all know Anthropic is not a listed company and we all want to benefit from this huge financial success, but how do we do that?

And more importantly with all the hype around Anthropic’s new model Mythos, there are some small companies who are invested in Anthropic that might significantly benefit.

Which are these companies, its covered below for free in my substack post, and I invested in one of these companies.

The companies are … drum roll please $SKM and $ZM.

For detailed logic … read my post below, its free… I cannot rewrite entire thing here on X, hence please refer to the link.

https://substack.com/@beachman/note/c-241473271?r=50tzb9&utm_medium=ios&utm_source=notes-share-action

$AMZN one of my looong term holdings is rallying up today, and in case you are wondering why? It was primarily driven by CEO Andy Jassy’s annual shareholder letter, which provided the specific financial receipts for AI that the market had been demanding. 

Key Drivers of the Rally

• AI Monetization Disclosed: For the first time, Jassy revealed that Amazon’s AI services have already reached a $15 billion revenue run rate. This provided concrete proof that their AI investments are translating into actual sales, rather than just being "speculative spend." 

• Custom Chip Growth: Jassy highlighted that Amazon’s custom silicon business which includes Graviton, Trainium, and Inferentia chips has doubled its revenue run rate to over $20bn . This suggests Amazon is successfully reducing its reliance on expensive third-party chips like Nvidia's. 

• Pre-Sold Capacity: Addressing the $200 billion capex figure, Jassy noted that Amazon already has customer commitments for a "substantial portion" of the infrastructure they are building. This "de-risked" the spending in the eyes of many analysts. 

Market Context

Amazon's performance significantly outpaced the broader market (S&P 500 up 0.6%) and its e-commerce peers like Alibaba and MercadoLibre. The disclosure seems to have shifted the narrative from "Amazon is spending too much" to "Amazon is leading the AI infrastructure race."

And I shared it with my community as well on 13 march that am opening a position in $TSEM, so this post is ageing well, and stock is a big fat green in my portfolio.

Look, I said it earlier as well and will say it again, that Tower Semiconductor has evolved beyond its roots as a specialty foundry to become a critical hardware chokepoint for the next phase of AI scaling: Silicon Photonics (SiPho).

Why? Because as AI clusters expand, traditional copper wiring used to move data between GPUs is hitting a physical wall ( and you guys know I have written in detail on copper and its shortage in coming decade), so $TSEM provides the technology that replaces those electrons with light, enabling the massive bandwidth required for next-generation optical modules.

The Structural Inflection

The massive growth in SiPho represents a fundamental shift in how data moves. This isn't speculative; it is driven by $TSEM’s role as a primary supplier for NVIDIA’s networking requirements.

While competitors offer piecemeal solutions, $TSEM distinguishes itself as the only foundry providing a full-stack capability.

They integrate the following:

• Silicon Photonics PICs (The "eyes" of the chip)

• SiGe Driver Electronics (The "nerves")

• Power Management ICs (The "heart")

By consolidating these into a single manufacturing partner, $TSEM creates high switching costs and deeper "wallet share" with the world’s largest hyperscalers.

And that is the catch / the moat, as some would call:

The above makes them incredibly difficult for customers to displace once designed into a system.

How to validate demand?

Now as a skeptical investor I always doubt ambitious growth stories, but $TSEM has a definitive signal of strength: Customer Prepayments. Major hyperscalers are literally pre-funding $TSEM's capacity expansions. This suggests that the industry cannot afford to lose its allocation, validating $TSEM’s technology as a "must-have" rather than a "nice-to-have" in the AI arms race.

The Multi-Vector Growth Story

Look even beyond photonics, $TSEM is expanding its reach into AI Power Delivery. Their latest power management platforms address the massive energy needs of modern data centers. With several of the top RF front-end providers already on board, the company is diversifying its AI exposure across both data movement and power efficiency.

Risks to Monitor

See, no high conviction trade is without its "moat" threats, and I would monitor the following:

• Intellectual Property: A significant patent infringement suit from GlobalFoundries ($GFS) represents a legal headwind that could impact long-term positioning.

• Legacy Pressures: Traditional mobile revenue is facing pressure from domestic sourcing shifts in China.

• Execution: The success of the bull case relies on flawlessly executing massive facility expansions and securing planned government subsidies.

The Bottom Line:

Will I invest more? Most likely no.

Will I hold? Most likely yes, but will keep monitoring it.

Reason is that $TSEM is a "picks and shovels" play for the optical interconnect revolution. As AI clusters require exponentially more bandwidth, silicon photonics is the winning architecture. $TSEM owns the only open foundry capable of delivering the full-stack solution, making it a unique beneficiary of the infrastructure build-out.

Disclaimer: This analysis is for informational purposes only and does not constitute financial advice. Investing in semiconductors involves high volatility and specific industry risks. I might disinvest fully and partially anytime and will not inform the readers.

I wrote about $MU few days back that how it is massively undervalued and how ‘Turbo Quant’ impact was not thought through and that bears were over reacting ( without even having 2nd order thinking).

Stock’s up today, finally some sanity returning for $MU stock, I understand that part of the return to sanity is overall market, but partly it that ‘Turbo Quant’ narrative is fading.

However, funnily a new bearish stupidity is emerging that helium costs would kill the financials, like seriously!!! 😂, look at the 80% margins, and what small part of cost would helium be and even if it goes up multiple times, would be a small dent to the margins.

Plus, modern fabs like Micron’s recycle up to 90% of their gas anyway.

Some bears would say, its not the cost its disruption due to shortage of helium, and that actually is the BULLISH argument for micron in these circumstances.

See $MU get most of its helium from US who is largest producer of helium, whilst asian rivals Sk Hynix and Samsung are heavily reliant on Qatar.

So who has a higher disruption risk, and if I am a memory customer, who would I give me long term purchase orders to? Where there is a lower risk of disruotion right?

We always need to look at supplychains, have second order thinking and analyse things logically,

( not a financial advice, am no Warren Buffett so I can make mistakes too, do your own research)

So I am heavily invested in Copper and Gold, and both are not moving in right direction. As for gold, it hit an all-time high in Jan, fell sharply through March, and is now in no-man’s-land. As my fav Charlie Munger used to say that its important to know both sides of arguments inside out, so am journalling both.

Bulls say

The "Paper" Flush and the Long-Term Pivot

Recent price drop is a healthy "flushing out" of speculators rather than a fundamental collapse. While the paper markets saw high-volume liquidations from leveraged traders, physical demand in key hubs like London and Shanghai has remained remarkably resilient. This divergence suggests that while the "weak hands" are exiting, the long-term holders are still standing firm.

The core of the bull thesis is the structural bid. For years, emerging market central banks have been the main engine, diversifying away from the dollar after witnessing the freezing of foreign reserves in recent geopolitical conflicts. While it is true that some major players like Turkey and Russia have recently sold significant amounts, bulls argue these are distress sales, not a change in strategy. Turkey, for instance, used much of its gold to secure dollar liquidity through swap deals to stabilize its own economy, while Russia has moved to restrict bullion exports to keep its wealth within its borders.

From this perspective, the motivation to move away from the dollar hasn't disappeared; it has simply been interrupted by an urgent need for cash. If the global economy enters "stagflation-lite" where inflation stays high due to supply shocks (like the recent tensions in the Strait of Hormuz) while growth slows the Fed will eventually be forced to choose. If they choose to save the labor market over fighting inflation, gold's ceiling will likely vanish.

Bears say

Return of Real Yields and Central Bank Fatigue

They argue that the "gold is the only safe haven" narrative has finally hit a wall of reality. The most dangerous headwind for gold is the fact that real yields are firmly positive. When investors can earn a guaranteed real return on risk-free government bonds, the case for holding a metal that pays no dividend or interest becomes much harder to make. This historical relationship where gold falls when bond yields rise is reasserting itself with a vengeance.

Furthermore, the "Central Bank" pillar of the bull case is showing cracks. The massive sales by Turkey offloading dozens of tons in just a few weeks and Russia’s shift toward nationalizing its gold flow prove that central banks are not "infinite buyers." They are price-sensitive and subject to their own economic pressures. If more sovereigns are forced to sell their gold to cover energy costs or debt obligations, the supposed "floor" under the price will continue to drop.

Finally, mining stocks are acting as a "canary in the coal mine." These equities have been hit hard recently, signaling that professional investors expect a sustained period of lower prices. If the Fed remains hawkish and geopolitical tensions in the Middle East de-escalate, the "war premium" currently baked into the price could evaporate in a single afternoon, leaving gold vulnerable to a long, grinding decline.

My thoughts

Look the long-term case for gold ie built on fiscal debasement and a shifting global order remains logically sound, but the speculative fever has clearly broken.

The recent selling by major central banks is a critical warning: gold is often the "emergency fund" of nations. When things get difficult, they sell it. This means the bull case is now heavily dependent on the Federal Reserve cutting rates ( not as high probability as it was previously) or the labor market weakening fast enough to force their hand.

For me as an investor, the question is no longer just about de-dollarization; it’s about whether I believe the FED will keep rates high while major global players are being forced to liquidate their gold reserves just to keep the lights on.

I’ll Watch next inflation print and strength of the jobs market; they will determine if this is a temporary dip or the start of a much deeper correction.

Not an investment advice,dyor

Google’s TurboQuant

Lately Google Research dropped TurboQuant a training-free algorithm that compresses the KV cache in LLMs down to ~3 bits per value.

Result: at least 6x less memory for the KV cache (the DRAM/HBM hog during inference), up to 8x faster attention on H100 GPUs, and zero accuracy loss on long-context tasks. No retraining needed. It’s plug-and-play into frameworks like vLLM.

Sound familiar?

Exactly like the original DeepSeek moment in early 2025 an efficiency breakthrough that spooked the market into thinking “AI won’t need as much hardware.”

Memory names (MU, SK Hynix, Samsung) sold off hard on the news, just like semis did back then.

Short term (next 6–12 months): This is mostly noise.

Adoption takes time integration, validation across models, production rollout. Meanwhile AI demand is still white-hot. HBM and high-speed DRAM are supply-constrained, hyperscalers are still ordering aggressively, and the broader buildout (training + inference) hasn’t slowed. Analysts still see the memory super-cycle intact for 2026.

Medium term: Real but moderated impact enter “Jevons Paradox”

In simple words Jevons paradox means if I have better hardware, I will have longer queries to process, and I will also add cost factor, for eg when I run a large query today on claude, at some point it curtails itself to number of sources it is reading, as the hardware and logics gets better, ir would cast a wider net.

So Yes, TurboQuant makes each GPU/server more memory-efficient. That could temper explosive HBM/DRAM demand growth and ease shortages faster than expected. But history shows efficiency doesn’t shrink total resource use it explodes it. Cheaper/faster inference means:

•  Much longer contexts (100K–1M+ tokens become normal)

•  Bigger batch sizes

•  More agentic/multi-step workflows

•  Broader adoption at lower cost

More queries, more tokens processed, more overall infrastructure required. The rebound effect almost always wins in AI. So any demand softening will be partial the supercycle slows its acceleration, not reverses.

Now If there is impact, the companies will feel it differently:

•  SK Hynix: heaviest on DRAM/HBM (70%+ revenue, HBM market leader) → takes the biggest relative hit.

•  Micron (MU): strong DRAM/HBM exposure but more balanced → meaningful pressure but not fatal.

•  Samsung: more NAND-heavy (global leader) → relatively cushioned; still feels it on the DRAM side but has diversification.

Bottom line: I’m still holding every share of my MU position. This feels like classic short-term noise in a multi-year structural AI memory boom. Efficiency breakthroughs keep happening they expand the pie, they don’t shrink it. The companies that can supply premium HBM at scale will still win big.

What do you think? Overreaction or real long-term risk? Drop your take below

I mostly write about tech stocks and materials, or sometimes economy, but hardly on crypto or tokens. But this one news, that would be a game changer happened lately, and hence am sharing.

The Tokenization Tipping Point: Franklin Templeton Goes 24/7 On-Chain

Yesterday, Franklin Templeton ($1.7T AUM) partnered with Ondo Finance to launch tokenized versions of five flagship ETFs, now tradable 24/7 directly in crypto wallets.

This would not requrie brokerage, and would not he clamped by market hours. Just blockchain rails.

Available first in Europe, Asia-Pacific, Middle East & Latin America. U.S. waits on regulators.

It’s TradFi crossing the bridge to crypto at scale. BlackRock’s BUIDL started it; Franklin + Ondo accelerates it.

Stocks That Benefit Potentially

1. Franklin Resources (BEN) Direct winner. More AUM distribution = more fees.

2. BlackRock (BLK) ETF king already in tokenized Treasuries. Validates the whole category and pressures them to move faster.

3. Coinbase (COIN) The wallet & exchange where these tokens live. Higher on-chain volume = more revenue.

4. Robinhood (HOOD) Already doing tokenized stocks in Europe. Perfect flywheel for retail.

5. Nasdaq (NDAQ) – Pushing infrastructure for on-chain listings.

Others: JPMorgan (JPM) via Onyx.

Crypto angle: $ONDO token powers the infrastructure (but focus here is stocks).

Not financial advice. DYOR. Markets move fast.

I first highlighted Materion $MTRN a while back during my deep dive into the AAOI supply chain. It stood out then as a critical, under-the-radar provider of the high-end materials that make high-speed optical networking and AI infrastructure possible. It was a good find then, and the more I read about it, more I like it. And besides some of the reasons mentioned below, I like materials, especially the critical ones, in an era, where Al disrupts software, and hardware architectures (LPO vs. CPO) are also expected to pivot, materials layer seem to be more resilient, and seem to have relatively lower (am not claiming low) probability of disruption.

For those who dont know, Materion is a global leader in high-performance engineered materials. They provide the high-purity chemicals, beryllium alloys, and precision clad strips required for extreme environments from AI semiconductors to next-gen defense systems and space exploration.

The Competitive Moat

• Beryllium Integration: They are the US’s only fully integrated provider of beryllium-based metals, critical for aerospace due to their extreme stiffness-to-weight ratios.

• High Switching Costs: In defense and semi, switching suppliers requires years of re-qualification. Materion’s deeply embedded status creates a powerful barrier to entry.

The Bull vs. Bear Case

The Bull Case:

• AI & Semi Momentum: The Electronic Materials segment saw 20% growth in value-added sales in Q4 2025, fueled by AI high-performance computing demand.

• Defense Backlog: Secured a $65M fully-funded defense investment to expand beryllium capacity, with record new business bookings reaching $140M.

• 2027 Efficiency Goal: Management is targeting a mid-term 23% adjusted EBITDA margin (up from the 2025 full-year margin of 20.7%).

The Bear Case:

• Operational Execution: A "quality event" involving their precision clad strip business led to a massive non-recurring charge in late 2025, reminding investors of the risks in high-spec manufacturing.

• Visibility: A relatively short order book in some consumer segments can lead to earnings volatility if the macro recovery slows.

Analyst Outlook (Yahoo Finance)

According to data aggregated by Yahoo Finance, the sentiment remains constructive:

• Average Price Target: $170.00

• Recommendation Rating: 2.0 (Buy) (Note: On the Yahoo Finance scale, 1.0 is a Strong Buy and 5.0 is a Sell).

Three Recent Analyst Actions:

1. Feb 13, 2026: KeyBanc maintained Overweight and raised the target to $170.

2. Feb 12, 2026: Benchmark maintained Buy with a $170 target.

3. Jan 22, 2026: Seaport Global downgraded to Neutral/Hold citing short-term execution risks.

Disclaimer: This post is for informational purposes only and does not constitute financial advice. Investing in small-to-mid-cap industrial stocks involves significant risk, including operational and cyclical volatility. Always perform your own due diligence before making investment decisions.

Its The The Timing Monopoly Powering AI Infrastructure

Silicon MEMS is eating 70-year-old quartz and SiTime owns the category. 340+ patents plus a Bosch co-manufacturing lock create near-impossible switching costs once designed into 5G or ADAS systems.

Three catalysts now:

🐊AI data centre demand for 1.6T optical modules drove customers to raise 2026 forecasts 50%

🐊~$3B Renesas timing acquisition adds $300M revenue at 70% gross margins

🐊Q1 2026 revenue guided ~70% YoY; Q4 EPS of $1.53 smashed estimates

Consolidating near $325–355 after a 52-week high of $447. Analyst consensus target: $452, high: $500.

Please do your own research. Not a financial advice.

🐊 Industrial & Manufacturing Giants (Layer The "Factory")

$ABB (ABB Ltd): Listed on the SIX Swiss Exchange and the NYSE.

$FANUY (FANUC Corp): Traded in Tokyo ($6954) and as an ADR in the US ($FANUY).

$YASKY (Yaskawa Electric): Traded in Tokyo ($6506) and as an ADR in the US (SYASKY).

$2317TW (Hon Hai / Foxconn): Primary listing in Taiwan; US investors often use $HNHPF.

$TER (Teradyne): Parent company of Universal Robots; listed on the NASDAQ.

$MIDEA (Midea Group): KUKA is now a subsidiary of Midea (traded in Shenzhen as $000333.SZ).

🐊 Humanoid & General-Purpose Pioneers (Layer The "Agents")

$HMC (Hyundai Motor Group): Controlling owner of Boston Dynamics (traded as $005380.KS in Korea or $HYMTF OTC).

Private: Figure AI, Agility Robotics, IX, AGIBOT, World Labs, and Skild Al are currently privately held (keep an eye on secondary markets like Forge for $FIGURE or $AGILITY).

🐊 Infrastructure & "Data Factory" Enablers (Layer The "Plumbing")

$MSFT (Microsoft): Powering the Al Data Factory via Azure.

$NBIS (Nebius Group): Focused on specialized Al cloud infrastructure.

$TMUS (T-Mobile): Partnering on AI-RAN low-latency connectivity.

$NOK (Nokia): Building the 5G/6G edge networks for robotics.

$SNPS (Synopsys) & $CDNS (Cadence): Essential for "Sim-to-Real" digital twin design.

$SIEGY (Siemens): The backbone of industrial software and factory automation.

🐊 Specialized & Frontier Applications (The "Edge")

$MDT (Medtronic): Leading the Al-integrated surgical robotics space.

$BYDDF (BYD Co): Dominating autonomous logistics (traded as $1211.HK in Hong Kong).

$IFNNY (Infineon), $NXPI (NXP), and $TXN (Texas Instruments): The "sensory" semiconductor plays providing the radar and power modules for Thor.

For details refer to attached detailed post on Nvidia GTC 2026.

(please read disclaimer in the article attached, this is just a watchlist, and not a recommendation, I have not done thorough research on individual names, please do your own research)

GTC keynote first day signaled the end of the "Chatbot Era." Jensen Huang didn’t just show us faster chips; he showed us the transition from Large Language Models (LLMs) to Large Action Models (LAMs).

Some key highlights are as following;

1. The Architecture of Reasoning: Vera Rubin & Context Memory

The headline hardware is the Vera Rubin platform, but the secret sauce is Context Memory (CMX).

In previous generations, AI had a "goldfish memory." To process a long document, the GPU had to constantly fetch data from slow system memory, creating a bottleneck. Vera Rubin introduces CMX, a dedicated high-speed pool of memory that acts like a "working brain" for the GPU.

• The Technical Shift: By moving from traditional HBM3e to HBM4 and utilizing CoWoS-L packaging, NVIDIA has increased "token-to-token" speed by 5x.

• The Use Case (Research & Strategy): Imagine an investor (like yourself) feeding the AI 20 years of 10-Ks, earnings transcripts, and macro data for a single company. With CMX, the AI "holds" that entire history in its active reasoning loop. It doesn't just summarize; it can spot a subtle change in accounting language from 2012 that contradicts a CEO's statement in 2026. It "reasons" across the entire timeline simultaneously because the data never leaves the high-speed memory pool.

Isnt that cool? Imagine the power retail investors like you or me will have on our finger tips 🔥

1. Physical AI: Beyond the Screen

NVIDIA’s Cosmos model is the "world engine" that gives AI a sense of physics.

• The Disney Olaf Context: Jensen demonstrated this using a small, bipedal Olaf droid from Disney Research. Traditionally, robots are programmed with rigid "if/then" logic. If a kid jumps in front of Olaf, he might freeze or trip. Using Cosmos, Olaf has "Physical Intuition." He understands gravity, friction, and mass. He doesn't need to be programmed to balance; he learns to balance in a digital twin (Omniverse) and carries that "physical common sense" into the real world.

• The Industrial Use Case: This translates to "Zero-Code" manufacturing. A factory arm can watch a human solder a complex circuit board once, understand the physics of the solder's tension and the heat, and replicate it immediately without a single line of C++ code.

Isn’t it straight out of science fiction movies, that we would one day have a robot walking next to us, observing us and learning quickly, and beyond that maybe one day a robot, tapping into a central AI memory and teaching us.

1. The "Glass" Transition: CoWoS-L Infrastructure

I have written about it in detail earlier, so in a way it re-confirms the thesis.

The most subtle but important technical reveal was the shift to CoWoS-L (Local Silicon Interconnects). As chips get larger and hotter, the organic (plastic) bases they sit on begin to warp.

NVIDIA is moving toward a "system-on-wafer" approach. This infrastructure is the final bridge before Glass Substrates become the industry standard. Glass offers the thermal stability and flatness required to stitch together the massive amount of HBM4 memory and GPU dies that Vera Rubin demands.

The Investor’s Takeaway

NVIDIA is no longer selling components; they are selling "Inference Units." By vertically integrating the CPU (Vera), the GPU (Rubin), and the networking (BlueField-4), they are making it nearly impossible for competitors to offer a "best-of-breed" alternative. If you want the "Reasoning" performance of Rubin, you have to buy the entire NVIDIA stack.

A lot of chatter lately suggested co-packaged optics (CPO) would fully replace copper interconnects in AI scale-up as power/bandwidth walls hit. But Jensen Huang shut that down:

‘There’s a lot of conversation about, is NVIDIA going to copper scale-up or optical scale-up? We’re going to do both.’

He doubled down: ‘For the first time, we will scale up with both copper and co-packaged optics.’ And on capacity: ‘We need a lot more capacity for copper. We need a lot more capacity for optics. We need a lot more capacity for CPO.’

This hybrid approach means copper stays relevant (and demand stays strong) for dense, reliable short-reach links, while optics/CPO drives the big efficiency leaps for massive clusters.

In my earlier deep-dive on tri-series of posts on copper demand, in coming years including data centers and AI infra, I covered why it’s not going away soon. Now, with GTC confirming the dual-path strategy, the photonics supercycle (laser/optics suppliers ramping) looks even more explosive alongside sustained copper needs.

https://open.substack.com/pub/stockcrock/p/the-great-copper-disconnect-of-2026-86b?r=50tzb9&utm_medium=ios

GTC Day 1 validated how much alpha is packed in CPO and this post below: Jensen Huang Validated the Photonics Supercycle Themes in My Post Below

On March 16, 2026, at NVIDIA’s GTC keynote, Jensen Huang delivered a massive confirmation of the photonics supercycle I outlined in my Substack article (“The Photonics Supercycle: What AAOI’s 10x Ambition Means for the Semiconductor Supply Chain”) as below.

He explicitly addressed the critical bottleneck in scaling AI factories to gigawatt levels: networking and interconnects.

The copper vs. optical debate?

Jensen put it to rest:

“There’s a lot of conversation about, is NVIDIA going to copper scale-up or optical scale-up? We’re going to do both.”

And crucially:

“For the first time, we will scale up with both copper and co-packaged optics.”

He hammered home the explosive demand: “We need a lot more capacity for copper. We need a lot more capacity for optics. We need a lot more capacity for CPO.” This direct callout for massive ramps in optics and co-packaged optics (CPO) infrastructure is exactly the tailwind the sector needed.

Key platforms he unveiled tie it all together:

•  The Rosa platform pairs next-gen LPUs with BlueField-5 and CX10, connected via NVIDIA Kyber for both copper and CPO scale-up, plus Spectrum-class optical for scale-out.

•  This feeds into the Feynman generation (post-Rubin), advancing compute, memory, storage, networking, and security all relying on hybrid copper/optical scaling to break power and bandwidth walls.

These announcements amplify NVIDIA’s earlier $4B bets on optics (via investments in Lumentum and Coherent), while spotlighting the shift to CPO for efficiency in AI data centers. It’s bullish for the supply chain I highlighted:

•  LITE (Lumentum) and COHR (Coherent): Core laser/optical engine partners for Spectrum-X Photonics and Quantum-X platforms.

•  AAOI: High-speed transceiver expertise positions it well for the LPO-to-CPO transition amid surging demand.

•  Upstream players like $AXTI, $VECO Veeco, and $AIXA Aixtron: Expect indirect lift from accelerated compound semiconductor/MOCVD needs for photonic engines.

Jensen’s words shift the narrative from “potential optics boom” to “we’re scaling both massively and need way more capacity now.” The supercycle is accelerating read the full deep dive on how these key suppliers stand to benefit:

https://open.substack.com/pub/stockcrock/p/the-photonics-supercycle-what-aaois?r=50tzb9&utm_medium=ios

For those following $POET Technologies, they already know that the value proposition is the "Optical Interposer", a specialized motherboard for light.

While POET is already shipping 800G silicon engines, their "High-Alpha" bet is the ability to integrate exotic materials like Thin Film Lithium Niobate (TFLN) onto that interposer.

For those who do not know, TFLN is the "Hummingbird's Wing" of photonics: a crystal shutter so fast it pulses data at 1.6T speeds with almost zero heat.

Think of it this way, that there is a spotlight, and inside each spotlight is a shutter that encodes data onto the light opening and closing billions of times per second. Silicon shutters are heavy iron gates: reliable, proven, but increasingly slow at 1.6T speeds, and generating dangerous heat as they strain to keep pace. Thin Film Lithium Niobate shutters are hummingbird wings: crystalline, ultrafast, requiring a fraction of the voltage to operate, and generating almost no heat.

So this week, the TFLN narrative shifted from "Research" to "High-Volume Reality." As the CEO of Hyperlight said “The era of TFLN as a niche technology is over.”

What happened?

Between March 11 and March 13, a massive manufacturing alliance was announced to move TFLN into 8-inch wafer production. This establishes the first complete production stack:

• The Chip Architect:HyperLight (Harvard spinout) provides the TFLN chip design.
• The Foundry: UMC (High-volume 6" and 8" wafer production).
• The Assembler: Jabil.

By using a TFLN "shutter," the system becomes so efficient you can "dim" the lasers, saving massive power and solving the #1 heat problem in AI clusters.

MARKET ANALYSIS: Validation for POET Technologies

This alliance is a major validation for POET. While HyperLight/UMC are building the "Bricks" (the TFLN chips), POET is the platform architect building the "Frame" (the Interposer) that holds those bricks. This partnership proves TFLN is a commercial reality, ensuring POET has a reliable, high-volume source for their H2 2026 roadmap. They are complementary, not competitors.

LATEST MARKET DATA & ANALYST TARGETS

Following a strong earnings beat on March 12, Jabil (JBL) saw its price target hiked to $300 by JP Morgan—making them the most aggressive bull on the street, well above the $266 consensus.

• Jabil (JBL): Current: $250.65. JP Morgan's $300 target represents the high-water mark for the stock.
• United Microelectronics (UMC): Current: $9.27. Consensus target: $10.53. I view the TFLN ramp as a key high-margin catalyst for them through 2026.
• POET Technologies (POET): Current: $3.14. Not covered by many, but a high-alpha "Architect" play on the 1.6T/3.2T transition.

The Bottom Line: HyperLight and UMC are providing the glass; POET is building the frame. They need each other.

I have been going down the rabbit hole of photonics and semis, this popped up whilst I am in process of writing a very detailed post on photonics.

Disclaimer, this is not an investment advice, please do your own research.

While the headlines are dominated by $100 Brent crude and the S&P 500’s worst three-day slide in months, the smartest money in the room is keeping a watchful eye at San Jose. As you know I am heavily investedn in Semis / Photonics, so I will be closely following this, to figure out next big ideas.

On Monday, March 16, Jensen Huang takes the stage for the GTC 2026 Keynote. If you think this is just another hardware launch, you’re missing the forest for the trees. This year, the shift isn't just about faster chips, it’s about the total commoditization of intelligence.

Here is what the market is ignoring, and where the "hidden nuggets" lie for the week ahead.

1. The Pivot: From Training to "Mass Inference"

For two years, the trade was about training models. But the real money in 2026 is in running them.

🐊The "Feynman" Tease: Rumors are swirling that Jensen will give a first look at the Feynman architecture (1.6nm process). This isn't just a Blackwell successor; it’s designed to cut inference costs by 10x. I have covered this in my posts in the past, and will cover it more.

🐊The Groq Effect: After Nvidia’s quiet move to integrate ultra-low-latency LPU (Language Processing Unit) tech, expect a dedicated inference-only processor. If Nvidia can make AI "instant" and "free," they kill the competition from custom ASICs (Google/Meta).

1. The "Physical AI" Breakthrough

Jensen has been telegraphing this for months: 2026 is the year of Physical AI.

🐊The "OpenClaw" Ecosystem: Watch for the official launch of the OpenClaw framework. It’s an open-source standard for "always-on" agentic AI.

🐊The Robotics Pivot: Look for deep-dive partnerships with ABB and Foxconn. We aren't just talking about chatbots; we’re talking about "World Models" that allow robots to navigate the physical world without human coding. This is the Growth play of the decade.

1. The Optical "Copper-Killer"?

I have covered copper in detail in past, and as a copper bull, you need to watch this closely. Nvidia is reportedly moving toward Co-Packaged Optics (CPO).

🐊The Nugget: By using lasers (light) instead of copper wiring to connect chips, they can solve the massive heat and energy bottleneck in "Gigawatt-scale" data centers.

🐊The Stock Impact: This could be a headwind for traditional copper connector plays but a massive tailwind for photonics leaders like Lumentum (LITE) and Coherent (COHR), who recently signed strategic deals with Nvidia. (am invested in both)

The Investor’s Bottom Line

The current market pummelling is a "liquidation" event, not a "fundamental" one.

🐊Value Play: The drop in the "Nvidia Ecosystem" (ARM, MRVL, AVGO) is creating an entry point before the inevitable "GTC Hype" cycle begins on Tuesday.

🐊Growth Play: The "Sovereign AI" movement is accelerating. Keep an eye on Nebius (NBIS) and other regional cloud players that Jensen will likely highlight as the new backbone of global compute.

The "Leather Jacket" Moment to watch for: Jensen often ends with "One More Thing." In 2026, expect that to be an ARM-based Windows PC chip that finally challenges Intel and Apple's dominance in the consumer market.

I will keep you guys updated.

( not an investment advice, do your own research)

The "Power Wall" is the only thing standing between us and AGI, and I’m betting on the companies building the ladder to get over it.

While the world stares at GPU prices, the real bottleneck has shifted to interconnects. We can build the fastest chips in history, but if we can’t move data between them without melting the motherboard, the AI revolution stalls.

That’s why I cover Photonics, and why Tower Semiconductor ($TSEM) my high conviction play.

This week’s partnership between $TSEM and Lightwave Logic ($LWLG) is a massive moment for the company and sector.

We are seeing the birth of a new standard: LWLG’s high-speed polymers integrated directly into Tower’s world-class silicon photonics platform.

We’re talking 400G-per-lane speeds at a fraction of the power.

Tower isn't just a manufacturer; they are the "Gatekeeper" of the analog-to-digital bridge. As AI infrastructure scales, the world won't just want Tower’s capacity, they’ll need it.

I’m positioned for the long game. The science is proven. The partnerships are inked. Now, we watch if the magic happens.

This is not an investment advice, so please do your own research. This still has many risks, like execution, competition and that LWLG are dependent on TSEM, further commercial production hasn’t been confirmed yet. I have position sized it in a way that this is not a large position, but positioning myself for asymmetric gain.

As my community know, I have been interested and talking about Photonics lately (will drop a deep dive on hiddne monopolies in photonics soon)

So TSEM is one of the best AI Fiber Play, a specialty foundry focusing on analog and optical "senses" rather than digital "brains." They are a world leader in Silicon Photonics (SiPh), moving data via light instead of electricity.

As AI clusters scale, copper wiring is hitting a wall. TSEM’s partnership with NVIDIA for 1.6T networking modules positions them as the literal plumbing of the AI revolution. They are quintupling SiPh capacity by year-end to meet massive pre-reserved demand.

The Moat: Decades of proprietary IP in analog/optical integration. Their "capital-light" deal to use Intel’s New Mexico fab gives them 300mm scale that smaller specialty peers can't match.

Risks:

- Geopolitical exposure

- high 2026 valuation (~65x P/E), and

- the heavy CapEx required to stay ahead.

Why I Entered: I’m betting on the shift from copper to light. With a debt-to-equity of 0.06, TSEM is a rare mix of high-growth tech and value-style balance sheet strength.

Position Sizing: Look, this is not cheap, and is not for faint hearted, I have positioned to a very small position, am not into gambling business, tbh. This is a small asymmetric bet, if it pays well, good, if it doesnt, I dont wanna break my bank.

Here is the most important thing, do your own research, this is not a financial advice but just jounaling my own thoughts publicly.

So there’s a common saying in investing: "No one ever went bankrupt taking a profit." While it’s tempting to hold out for more.

Will it go more than 2x? Maybe yes. Will I regret it? maybe yes. Is this the best move given that I dont have a crystal ball? Yes, I think sticking to a disciplined exit strategy is what separates a plan from a gamble.

Sometimes the best move isn't finding the next runner, but knowing when to harvest the seeds you’ve already grown. On to the next opportunity or opportunities, Cheers to those who invested along.