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 54 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 6 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
Patel: Intel faces bankruptcy without massive cash infusion or 50% layoffs
“Intel is literally gonna go bankrupt if they don't have a big cash infusion, or they lay off, like, half the company, right?”
Patel: China Will Pause NVIDIA Bans During AI Chip Capacity Gap
“I think they'll be able to ramp. I think it'll take a little bit longer and there will be, like, a sort of a gap in between where China probably backtracks and says it's fine.”
Patel: OpenAI signed up to pay Oracle $80+ billion annually
“With OpenAI, it's not, and so there's gotta be some, like, error bars as you go further out in terms of, like, Will OpenAI exist in 28, 29 30, and will they be able to pay the 80 plus billion dollars a year that they've signed up to Oracle with, right?”
Patel: Claude Code and Cursor have surpassed GitHub Copilot in ARR
“If you look at the revenue ARR chart, it's like, Cloud code in, like, three months has surpassed them, and, like, cursor, you know, easily surpassed them, and then, like, even, like, companies like Replin or, like, and Windsurf slash Cognition are, like, gonna…”
Patel: Huawei Sourced 2.9 Million TSMC Chips via Shell Entities
“They were able to acquire three million chips, 2.9 million chips from TSMC through these other entities, right? Roughly five hundred million dollars worth of orders”
Patel: China Will Mass Produce 7nm AI Chips Despite Sanctions
“Even though the government says they're for 14 nanometer, the actual equipment that's banned is only for below seven nanometer, and so they'll be able to make a lot of seven nanometer AI chips and maybe even get to five with, you know, using existing equipment…”
Patel: Hyperscaler CapEx will reach $450B-$500B next year
“And my number is closer to, like, it's like four 5500 and that's based on, like, you know, all the research we do on, like, data centers and, like, tracking each individual data center in the supply chains, right?”
Patel: OpenAI will not achieve profitability until 2029
“They're not turning a cash flow, they're not gonna be profitable until 2029.”
Patel: AWS year-over-year revenue growth will re-accelerate above 20%
“This is the lowest AWS revenue growth will be on a year-to-year basis. For at least the next year, right? And it's re-accelerating to north of 20% again because of all these massive data centers they have online with Tranium and GPUs, right?”
Patel: Amazon will lose its position as largest data center operator within two years
“The company with the most data center capacity in the world, that, and still today, although they may get passed up in the next two years is Amazon. Actually, they will get passed up based on what we see is Amazon, but incrementally, Amazon still has the most …”
Patel: Musk bought a Mississippi power plant to bypass energy constraints
“His facility's like a mile away from Mississippi, and he bought a power plant in Mississippi and he's putting turbines there. Yeah. The regulation is completely different, right?”
Patel: OpenAI will soon monetize free users via shopping affiliate fees
“And OpenAI makes nothing off of that. But they very, they really, really will soon, right? And partially that's because Amazon blocks chat, but like, you know, there's a way to make money from shopping decisions, whether it's Booking flights or looking for ite…”
Patel: OpenAI and Anthropic consume 30% of top-tier AI chips
“Just OpenAI and Anthropic and the compute that they have and are getting this year from Google and Amazon for Anthropic and from Microsoft, CoreWeave, Oracle for OpenAI, 30% of the chips are going to them, just those two companies.”
Patel: Google is internally discussing selling physical TPU hardware to buyers
“I think Google's even discussing it. Internally, I think it would require a big reorg of culture and a big reorg of like how Google Cloud works and how the TPU team works and how the JAX software team and XLA software teams work.”
Patel: Open-source AI dispersion will keep NVIDIA the most valuable company
“If it gets dispersed more and more which arguably we're starting to see with a lot of these open source models getting better and better and better and with ease of deploying them getting better, then you would see, I think you could argue NVIDIA will remain t…”
Patel: AI data centers will consume 10% of US electricity by 2030
“Even by the end of the decade you know, the US will be like, 10% of our power will be AI data centers”
Patel: Top Google TPU hardware engineers have left to join OpenAI
“The TPU team's next-gen designs are pretty non-aggressive, partially because a lot of the TPU team has left to go to OpenAI, the best people that I knew.”
Patel: Microsoft Azure is losing cloud market share to Oracle and CoreWeave
“Azure is like losing a lot of share to Oracle and CoreWeave and Google and so on and so forth, right?”
Patel: NVIDIA Lost $20B+ China Revenue from H20 Ban
“Our revenue estimate for Nvidia in China for just H-twenty was north of twenty billion because that's what they were booking in capacity slash had to write off.”
Patel: HBM production capacity remains a bottleneck for Huawei
“I think production capacity wise, it is still absolutely a bottleneck. They certain types of equipment required for making HBM need to be imported. They're working on domestic solutions, but as far as we know, they have not imported enough equipment for this.”
Patel: China stockpiled lithography at 30-40% of equipment imports
“China, because they wanted, they sort of, like, wanted to stockpile lithography, and they were worried about the coming ban, they were importing lithography at a much higher rate than that, right? Like, 30, 40% of their equipment imports were lithography, and …”
Patel: China has only sampled HBM2 and not started HBM3 production
“Yield, they haven't even started production of high speed, of HBM-III, right? They've only done some sampling of HBM-II.”
Patel: AI end market will far exceed total semiconductor market
“The end market of AI is going to be way larger than the end market of semiconductors and equipment.”
Patel: NVIDIA is the only $10B+ semiconductor company founded post-1990
“It's the only semiconductor company that's worth, you know, I think even north of ten billion dollars that was founded as late as it was. Like MediaTek was in the early nineties and then Nvidia and everyone else is like from the seventies mostly.”
Patel: NVIDIA almost always ships first-pass A0 silicon
“So, like, NVIDIA always ships A zero. Almost always. They sometimes ship A one.”
Patel: NVIDIA added Tensor cores to Volta months before fab
“There's a story about how Volta, Which was the first NVIDIA chip with Tensor cores. You know, they saw all the AI stuff on the prior generation P. 100 Pascal. And they decided we should go all in on AI. And they added the Tensor cores to Volta, like only a han…”
Patel: NVIDIA will accumulate hundreds of billions in cash balance
“He's gonna have hundreds of billions of dollars of cash on his balance sheet.”
Patel: Silicon Valley AI startups spend 75% of venture rounds on GPUs
“Most companies in the valley spend, what, 75% of their round on GPUs, right?”
Patel: Approximately ten 100,000-GPU AI clusters exist globally
“There are like 10 hundred K GPU clusters in the world.”
Patel: Elon Musk deployed 100,000 GPUs in Memphis within six months
“A hundred K GPUs in six months. He bought a factory in like February of 24 and had models training within six months, right?”
Patel: NVIDIA GB200 yields 3x-4x performance per dollar on DeepSeek
“If you're running DeepSeq inference, the performance difference per GPU is like north of like six, seven X, and it continues to optimize you know, for DeepSeq inference. And so the, you know, then it's like, well, I'm only paying 60% more for six X, and it's l…”
Patel: Multiple major neoclouds have sold out of NVIDIA Hopper capacity
“It turned out that multiple major neoclouds had sold out of hopper capacity.”
Patel: Reasoning models are driving a surge in AI inference demand
“Inference demand has been skyrocketing this year, right? These reasoning models, the revenue it's been skyrocketing this year”
Patel: NVIDIA Hopper rental prices bottomed and are creeping back up
“And actually prices for hopper bottomed like three or four months ago or like five or six months ago. And actually they've like crept up a little bit now.”
Patel: Majority of OpenAI's revenue comes from consumer subscriptions
“Anthropic is fully focused on B to B, right? API code, et cetera, right? Where, or cloud code, whatever it is, right? OpenAI, yes, they have that business, Kodaks and API business, but really their majority of the revenue is consumer, right?”
Patel: 10% of Etsy's traffic originates from AI chatbots
“It's like Etsy, 10% of their traffic now comes from chat. And OpenAI makes nothing off of that.”
Patel: AI labs are buying RL environments for Amazon and Shopify
“Everyone knows that, like, Anthropic and OpenAI and all the other labs are buying RL environments of Amazon and of, like, Shopify and of Etsy and of all the different ways to shop on the internet. Of airline websites, right?”
Patel: Digital ad platforms consume one-third of top-tier AI chips
“One third of it is like ads, right? Whether it be ByteDance or Meta or many of the other people who are doing ads.”
Patel: Tech hyperscalers can grow AI capex 20% to 30% next year
“The hyperscalers still can grow capex 20, 30% next year, right, from what they're doing this year.”
Patel: NVIDIA maintains 75% gross margins compared to AMD's 50%
“I make a 75% gross margin as NVIDIA AMD sells their GPUs for 50% gross margin”
Patel: China subsidizes its semiconductor industry by up to $200B annually
“They're subsidizing the semiconductor industry to the tune of like, 152 hundred billion dollars a year through SOEs, through CapEx that's not generating revenue, et cetera.”
Patel: Alfalfa farming uses 100x more water than AI data centers
“Farming alfalfa uses like a hundred X the water of AI data centers. Even by the end of the decade, it'll be the same.”
Patel: Intel is ahead of Samsung on 2nm process technology
“They think, I think industry generally agrees that Intel is further along you know, the sort of the two nanometer class process technology than Samsung is but both are way behind TSMC.”
Patel: Intel takes five to six years to launch new chips
“Intel's problem is that, like, It takes them five to six years to go from design to shipping the product in some cases more and when they tape out a chip, right, like, you know, you send the design to the fab brings back the chip, they go through 14 revisions …”
Patel: NVIDIA will hold over $100B in cash by late 2025
“The cash on their balance sheet keeps growing, and they're gonna have north of a hundred billion dollars of cash on their balance sheet by the end of this year, I think.”
Patel: Huawei surpassed Apple in TSMC orders and market share before bans
“Yeah, well, like, I mean, like, every other, like, Huawei's beat Apple, right? They passed Apple up in TSMC orders, they passed Apple up in phone market share not in the US, but, like, in many parts of the world. Before the bans came down, and then even now th…”