The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 180 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 25 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
O'Driscoll: Tech giants won't cut AI spending in 2026, keeping Nvidia sold out
“No one's going to blink on their investments for twenty-twenty-six. You actually know the next four quarters of NVIDIA announcement. You know the next four quarters of every one of the infrastructure, which is every single thing we can make. If you can count t…”
O'Driscoll: 30% chance tech CapEx growth slows within five years
“There is at least some probability, pick a number, 30%, that it doesn't happen this way.”
Lemkin: NVIDIA would be forced to bail out OpenAI if needed
“If open AI needs a bailout, it has to bail them out. It has no choice”
O'Driscoll: NVIDIA issued a document committing up to $100B to OpenAI
“There's a piece of paper. With the NVIDIA logo on it that said we'll do up to a hundred billion, and they put it out there, and now they're like, where's my hundred billion?”
O'Driscoll: Nvidia puts will eventually be a great buy due to cycles
“At some point, NVIDIA ports will be a great buy, because every semiconductor cycle for the last 40 years has ended up in a massive downswing. I ain't buying them today.”
Lemkin: Nvidia will likely deprecate Groq's product line post-acquisition
“One, they could do, they could just deprecate the entire product line and do something brand new. They probably will.”
O'Driscoll: Nvidia bought Groq to eliminate one of six margin threats
“There's only five or six people that can exert margin pressure at all on Nvidia. This was potentially one of them, and let's get it off the table.”
O'Driscoll: Nvidia-Groq Deal Is Marginally Net Positive for Cerebras
“My guess is marginally net positive, but kind of, it's like the real, it's one of those weird things where you ask, is it a positive or negative? The truth is there's a big embedded positive, the comp, and there's a big embedded negative, the musical chair pro…”
Lemkin: Custom chip competition will not threaten Nvidia's dominance in 2026
“You're a fool to invest against Nvidia for 2026. And I think you are arguably a fool to invest into Amazon in 20, 26 for a simple reason. Just a simple, I didn't say 20, 27 or 20, 28. It is not enough time for all this competition to come online. It is not eno…”
Jason Lemkin: Investors ignore systemic AI risks due to Nvidia's strong numbers
“I actually think going to the opening of the show, I actually think we're just ignoring the risk because the NVIDIA's numbers are just too good. No, that's what we're all doing. We're ignoring it. This is systemic risk.”
Rory O'Driscoll: Microsoft-Anthropic-Nvidia compute deal has better fundamentals than peers
“Of all the round tripping deals, I would argue a Microsoft, Entropic, Nvidia deal probably has better principles and upside than most. I mean, some of the other round tripping deals look like they're already, you know, a bit shaky.”
Rory O'Driscoll: Nvidia backs neoclouds because they cannot build custom silicon
“First of all, there's a reason why they sponsor the Core Weaves and the next generation of NeoClouds, because they're like, those guys ain't going to build their own chip.”
Andrew Ng: AI application capital recycles through model providers to Nvidia
“In fact, if you look a lot of the application layer investments. Sometimes it feels like, you know, firms are putting in a hundred million dollars so that they can pay Open Ananthropic. So the Open Ananthropic can pay NVIDIA, which is where all the money is, i…”
Cahn: AI infrastructure investment requires $840B in end-user revenue
“If you invest one hundred fifty billion in NVIDIA chips, that's about three hundred billion of data center investments. And to pay that back, the person using the compute needs to earn a 50% gross margin. So there's about six hundred billion of revenue that ne…”
Lemkin: Nvidia is the only company making money in AI
“The only person making any money in AI is NVIDIA. Even Oracle isn't making any money. OpenAI certainly isn't making any money.”
O'Driscoll: OpenAI and Nvidia are repeating Microsoft and Intel's 90s playbook
“Fast forward to today, the company that's dominating everything is OpenAI. They're the Microsoft of today. They have the consumers. They have the eyeballs, right? They're building this new monopoly, and the equivalent of Intel is now Nvidia.”
O'Driscoll: Nvidia built a monopoly because competitors ignored them for 30 years
“Everyone left them alone for 30 years, and they built a monopoly, and now he's, you know, picking up the checks on it.”
Nvidia Is the 21st Century's Greatest Company; Valuation May Be Too Low
“I think they've proven themselves to be the greatest company of the first quarter of the 21st century, right? 21st century. They've proven themselves to be the extraordinary company in the first quarter of the century, and I don't know if four trillion's right…”
Nvidia Invested in OpenAI Primarily to Lock Up Chip Demand
“Beyond the fact that, that Nvidia has chosen to try and lock up a portion of OpenAI's demand. By investing in them. That, that, that's about as much as you can say.”
Nvidia Charges Gross Margins Between 78% and 85% on High-End Chips
“Well, because they want to get rid of the 78% gross margin that NVIDIA is charging. That's why it makes sense. Just like that. It might be, on the high-end chips, 85%.”
Ross: NVIDIA effectively holds a monopsony on High Bandwidth Memory
“The thing is, Nvidia effectively has a monopsony on HBM.”
Ross: NVIDIA Will Sell Every Single GPU It Builds
“NVIDIA's gonna sell every single GPU that they build.”
Ross: NVIDIA will keep selling chips despite AI labs building custom silicon
“NVIDIA still keeps selling chips.”
Ross: Building custom AI chips to rival NVIDIA is like replicating Google
“Going off and saying, I'm gonna build my own AI chip to compete with NVIDIA, It's a little bit like saying, you know, that Google search is pretty nice. Let's go replicate it. It's insane. Like the level of optimization, the level of design and engineering tha…”
Ross: NVIDIA will retain 50%+ revenue share with 10% chip volume
“My prediction is that in five years, NVIDIA will still have over 50% of the revenue. However, they will have a minority of the chips sold. They might have, you know, minority share. They might have 51% of the revenue, and they might have 10% of the chips sold.”
O'Driscoll: AI capital loop will continue unchecked for 1-2 years
“No one's going to call time out along the way, at least for another year or two based on this, because everyone's getting, you know, the capital is being made available and everyone involved is getting kind of mentally marked up.”
Mercor's customer concentration breakdown is similar to Nvidia's
“Our largest customer, I can't share the exact percentage, but the breakdown is relatively similar to Nvidia.”
O'Driscoll: Nvidia chip depreciation will trigger an AI CapEx slowdown
“Someone, at some point someone's going to depreciate all these Nvidia chips and someone's going to have to pay for them. Right? So I do. And I'm sorry to get, I do think there might be a slowdown at some point in time, but right now there's no evidence of it w…”
Boland: NVIDIA maintained a management buffer layer to deal with Jensen Huang
“It's just, you know, so, so within NVIDIA, we used to have a, Jensen at the top, we had a layer of people whose job was to buffer everybody else in the company, actually. And so this buffer layer would deal with Jensen, which is great.”
Feldman: Nvidia customer delivery delays create major opening for competitors
“And so I think there is a real opportunity in the potential for NVIDIA Customer Unhappiness, for sure. For those of us who are competing with them. I mean, if you can't get your gear, you may as well test somebody else's. And that, that's a huge opening.”
Feldman: Cerebras inference has been the fastest platform since August 2024 launch
“And every day since August 26th when we launched Inference, our way has been the fastest way across a whole set of models tested by artificial analysis and others.”
Feldman: Nvidia's AI chip market share will fall to 50-60% in 5 years
“I think you know, in five years from now, NVIDIA is going to have 60. Somewhere between 50 and 60% of the market, right? I think right now they have approximately all of it. I think they will come down over time.”
Feldman: Cerebras deployed more exaflops than anyone except Nvidia and AMD
“We, we've deployed tens of exaflops of compute vastly more than anybody else that, that, that isn't AMD or NVIDIA, right?”
Morin: AI agents and reasoning will disrupt Nvidia's chip dominance
“Ultimately, the two things that could really, very much shake the industry, the chip industry, in my opinion, is our agents and reasoning.”
Morin: AMD GPUs achieve 4x inference throughput over Nvidia setups
“If you run on AMD, well, there's enough memory inside the GPU to run one model per card. So you get, you know, eight GPUs, eight times the throughput, while on the other hand, you get eight GPUs, two, you know, two, maybe two and a half times the throughput. S…”
Morin details profit margins across TSMC, Nvidia, and cloud providers
“Nvidia, like a TSMC sells you at 60% margin. Nvidia sells you at, you know, 90% margin. And on top of that, there's Amazon that takes, let's say a 30% margin.”
Morin: Nvidia will remain dominant in AI inference due to availability
“The thing is these chips are on the market. They're here. I can, you know, out tab on Chrome and get one. That is something that, you know, I don't take lightly. Availability that is right. So I think Nvidia is used to stay at least if not for the H-one hundre…”
Morin: Nvidia won AI training via Mellanox interconnects, not raw compute
“The reason probably Nvidia won, at least in the training space, is because of Mellanox, right? Not because of the raw compute.”
Morin: Switching from Nvidia to AMD offers 4x spend efficiency
“A simple example is if you know, switch from Nvidia to AMD on a seven TB model, you can get four times better efficiency, right? In terms of spend.”
Morin: Nvidia gives zero discounts even on tens of thousands of GPUs
“I talked to a lot of people that build data centers and I tell them, you know, they're, mind you, these people like buy tens of thousands of GPUs. And I asked them, Hey, do you get at least a discount or something? And they're like, no. The only thing we get i…”
Morin: Nvidia Blackwell chips suffered surface bending causing cooling issues
“For Blackwell, they assembled two chips. But the surface was so big that the chip started to, you know , wave, like, I don't know the English word, but like, you know, started to bend a bit, which further perpetuated the problem because it then didn't make con…”
Ross: NVIDIA holds a cornered resource as HBM monopsony buyer
“You don't normally think of tech companies as having a cornered resource, but Nvidia has a cornered resource. They're a monopsony, the opposite of a monopoly, a single buyer for HBM, and the Interposer, the COOS.”
Ross: Drop in NVIDIA stock was a misunderstanding of market fundamentals
“I don't agree that Nvidia stock should have gone down for that. I think that was a misunderstanding on most people's part, but it also shows, I think that shows more like everyone keeps saying Nvidia stock can't possibly go higher.”
Ross: Nvidia is more valuable because of DeepSeek, not less
“It's actually more valuable. Thanks to deep seek, not less valuable.”
Sivulka: AI model layer will commoditize as value accrues to applications and hardware
“I, you know, I think that ultimately the model layer, and I think this is not a hot take anymore. I've been saying it for a few years, but I think it will become commoditized. I think that a lot of value will accrue at the hardware layer especially And we coul…”
Sivulka: AI shift from training to inference will destabilize Nvidia's dominance
“The shift away from training to inference as a fundamental, like, almost macro shift in how people deploy AI. I actually think that will destabilize slightly the dominance of NVIDIA chips.”
Dines: Nvidia will struggle to maintain current chip dominance against hyperscalers
“It's hard to see it at existing levels, and think about, I think half of NVIDIA revenue today is from these five hyperscalers, so, and if they are all in the business of building, it's kind of, I think it's hard, but obviously NVIDIA has such an important, you…”