Categories
AI Semiconductors

The Margin of the Weather

A company that has sold memory chips for forty years โ€” memory, one of the most humiliatingly commoditized products in capitalism, a business that has bankrupted entire Korean and Japanese conglomerates teaching each other lessons about discipline โ€” is about to make more money in twelve months than in the previous four decades combined.

Samsung’s chip chief told a room of his own employees: this year’s profit will exceed everything the division has earned since the 1970s. Forty years of grinding, erased by one fiscal year. You’d think they’d invented something.

They hadn’t. Everyone building an AI data center needs memory. Nobody built enough factories. Samsung was one of three companies on earth able to supply the shortfall, and the price of a chip that costs what it always cost went up fifty percent. Samsung kept the difference. Not innovation. What happens to a farmer when the drought hits every field but his.

We don’t credit the lucky farmer with genius. We say: good year. And we don’t expect the good year to repeat. Rain comes back. The price falls. Scarcity is weather, not a personality trait.

There’s a real achievement in this story too, and it has nothing to do with the weather. A year ago Samsung failed to qualify its most advanced memory for Nvidia’s systems โ€” performance problems, a rival getting the business instead. The engineers went back and fixed it. That’s the actual skill in this company’s year: unglamorous, uncelebrated at the town hall, worth nothing next to the number that got the confetti. The competence arrived quietly, on a different chip, in a different meeting, and nobody’s putting that on a plaque.

The stock market didn’t put it on one either, but it seemed to know the difference. Best quarter in Samsung’s history โ€” profit nineteen times the year before โ€” and the shares fell seven percent. Not despite the earnings. The gain had already been priced in, the shares having run up a hundred and fifty percent on the expectation of exactly this number, so the number’s arrival became a ceiling instead of a floor. A market rewards discovery. It does not reward weather. Had investors believed Samsung built something durable โ€” the Nvidia qualification, the years of engineering behind it โ€” the stock would have ripped, the way See’s Candies or Apple gets rewarded quarter after quarter, because everyone agrees the thing generating the money isn’t going anywhere. Instead the market glanced at the record harvest and asked, politely, whether it would rain again next year.

Analysts insist the shortage holds through next year. Someone always insists that, right before it doesn’t. Fabs get built. Capacity catches the demand that summoned it, the way it always has, and the cycle ends the way memory cycles end โ€” too much supply chasing too little demand, margins reverting toward the number they were always going to revert toward. Nobody knows if this time is different. A company just posted the best year of its life, on a windfall it didn’t earn and a fix it did, and the market โ€” which has seen droughts end before โ€” hasn’t decided yet which one it’s watching.

Categories
AI Business Economics Podcasts

Bubble Bath

The behavior of today’s stock market is yet another sign that many will point to as indicating there’s an “AI bubble”. Today’s market action is largely attributed to Blue Owl Capital deciding not to participate in the debt financing of a new Oracle data center (being built for OpenAI) in Michigan. This news came out overnight last night and soured the market at the opening as it added fuel to the fires already raging from last week about bubbles in AI and, in particular, some of the debt financing being used to build new data centers – especially but not exclusively by Oracle.

Watching the market action today a brought to mind a recent paper on the subject of bubbles authored by Oakmark Capital’s Howard Marks. Marks is widely followed in the investment community for his almost “sage-like” prognositcations of which he’s authored many over the years. His memos are always full of insights and valuable learning opportunities. His recent one drilled into this question of bubbles — and, in particular, the role of debt financing. That’s especially interesting as Marks’ long career at Oakmark has been primarily involved in debt financing and, indeed, sometimes distressed debt.

Marks points out why he thinks the current situation with respect to AI is problematic as it shows many of the common characteristics of bubbles which in the past have resulted in wealth destruction instead of wealth creation.

As I’m writing this, I’ve just begun watching the latest Tim Ferriss interview which is with long-time venture investor Bill Gurley. Right up front in the conversation, Tim asks Bill for his take on the bubble in AI question. It’s a great conversation – well worth a listen.

Speaking of listening (or watching), on Monday I watched the latest episode of the Acquired podcast – this one celebrating the tenth anniversary of Acquired. This was the most fascinating conversation I’ve listened to or watched in recent memory. The two hosts of Acquired were being interviewed by author Michael Lewis – and they were interviewed in depth! Lewis asked lots of probing questions as well as provided some illustrative commentary of his own along the way. An incredible episode – highly recommended!


After publishing this post, I asked Google Gemini 3 Fast: I just published a blog post. Review it critically and help me improve it. Act like a tough but compassionate editor. Hereโ€™s the post: https://sjl.us/2025/12/17/bubble-bath/

Hereโ€™s the critique it gave me – tough but compassionate!

Alright, sit down. Letโ€™s look at “Bubble Bath.”

Youโ€™ve got the ingredients for a great piece of timely analysis here: a specific market event (the Blue Owl/Oracle snag), a heavy-hitting intellectual framework (Howard Marks), and contemporary expert commentary (Bill Gurley and the Acquired team).

But right now, this isn’t an essay or a cohesive blog postโ€”itโ€™s a link log. Youโ€™re telling me what youโ€™re watching and reading, but you arenโ€™t telling me what you think.

Here is my critical review.

The “So What?” Factor
You start strong with the Oracle/OpenAI data center news. Thatโ€™s a “hook.” But then you pivot immediately to: “I read a memo by Howard Marksโ€ฆ I’m watching Tim Ferrissโ€ฆ I watched Acquired.”

As an editor, Iโ€™m asking: Where are you in this post? Youโ€™ve gathered the smartest people in the room, but youโ€™re standing in the corner taking attendance.

The Fix: Donโ€™t just tell us Howard Marks wrote a memo. Tell us which one specific point he made that explains the Oracle news. Connect the dots for us. Is the Oracle situation the “wealth destruction” Marks warned about, or is it just a healthy correction?

The Title vs. The Content
“Bubble Bath” is a clever pun. I like it. But usually, a “bubble bath” implies a cleansing or a soaking. Are we getting soaked (losing money)? Or is the market being “cleansed” of irrational exuberance?

The Fix: Use your conclusion to pay off the title. Right now, the post just ends with a recommendation for a podcast. Close the loop: “If Marks and Gurley are right, this isn’t just a market dip; it’s the start of a very cold bubble bath for AI investors.”

Structural “Pass-Through”
The second half of the post feels like a “What Iโ€™m consuming” list. It dilutes the urgency of the first paragraph.

The Fix: If the Bill Gurley and Acquired links are just “further reading,” put them in a “Resources” or “Deep Dive” section at the bottom. If they are central to your argument, quote them. What did Bill Gurley say about AI debt that makes the Oracle news more frightening?

Tighten the Prose
You have some “wordy” habits that slow down the reader.

โ€œThe behavior of todayโ€™s stock market is yet another sign that many will point to as indicating thereโ€™s an โ€˜AI bubbleโ€™.โ€ * Editorโ€™s Edit: โ€œTodayโ€™s market volatility is the latest fuel for the โ€˜AI Bubbleโ€™ fire.โ€ (Go for the jugular).

Compassionate Closing
Scott, you have a great eye for sourcing. You are curating high-signal content (Marks, Gurley, Lewis). That is valuable. But your readers come to your blog because they want to know how you are synthesizing this information.

My Challenge to You: Rewrite the middle paragraph. Instead of saying the Acquired podcast was “the most fascinating conversation,” tell us one thing Michael Lewis asked that changed how you view the AI bubble.

Give us your brain, not just your bookmarks. Now, go back to the keyboard.