This might be the hardest video I’ve made to date, despite the fact that I didn’t have to draw anything more complicated than a few boxes. In order to keep this under 3 minutes, I had to oversimplify A TON. I can’t caveat everything. But the bottom line is, if you want to put the key man risk of Jensen Huang — and the key company risk of NVIDIA — in context, you need to understand just how deeply they are invested across EVERYONE in the AI ecosystem. And while you’ll notice that there’s no real direct investment in the hyperscalers shown here, don’t be fooled. The frontier labs in whom NVIDIA has a massive investment are the ones renting compute and cloud space from the MSFTs, AMZNs, and GOOGs, of the world…not to mention the fact that investments like Marvell indirectly constitute an investment in their competitors’ custom chips. And despite their massive investment in OpenAI and other closed weight frontier model companies, they are deeply invested in the open weight models as well. Case in point? NOT PICTURED: their outright purchase of HuggingFace, which will show up in Q3. They bought the whole company at the nexus of the open weight world. These guys aren’t out there picking winners like the rest of us dummies. They’re invested in anything and everything that touches AI.
@thewallstreetskinnyTranscript
Nvidia is in bed with all its customers, not just the ones who are alleged Chinese spies. I set out to trace $1 of Nvidia's sales through their investments in the entire AI ecosystem, from NeoClouds to Frontier Models and Beyond, and you'll never believe what I figured out. Nvidia CEO Jensen Huang describes the AI ecosystem as a five-layer cake, Nvidia sales chips, so it lives in layer two, right? Well, let's take $1 from Nvidia's chip sales in the first six months of 2026. Hyperscalers like Google and Meta and the Frontier labs who run from them account for more than half. Customers and video calls ACIE, basically everyone who isn't a hyperscaler, like the NeoClouds, make up the rest. It's original gaming and PC business only bring in a sad eight cents. Now click financial model. From a dollar, take out 34 cents of costs, add back 13 cents of paper gains on its investments, minus 13 cents in taxes, and Nvidia reports 66 cents of profit. Strip out those paper gains and make working capital adjustments and 42 cents is their cash from operations. Nvidia borrowed 14 cents, sold seven cents of securities, and now has 63 cents of new cash to play with. From the original dollar, Nvidia keeps her spends 13 cents on itself. 26 goes to shareholders, and 24 cents gets invested into the AI ecosystem. Coming into 2026, Nvidia already had 22 cents invested on our scale. Mostly Frontier labs like Anthropic and XAI. Then companies on its supply chain like Intel, which makes the CPUs its GPUs they're paired with. Honorable mention to the NeoClouds, Apps, and Robotics. Now let's add our new 24 cents. The vast majority of which went to $130 billion investment into open AI. The rest went to the Optics suppliers that connect GPUs, Marvel, who makes A6 for some of its competitors, and the remainder to NeoClouds like CoreWeave and Nebius. By July, adding intense sense of appreciation, Nvidia had 56 cents invested. More than half is Frontier Labs, and over half of that is OpenAI. But they own a piece of all models, Open Weight, or Closed. Then our parts and tools, where 70% of their investment is in Intel, and the NeoClouds, where CoreWeave is half their exposure. The rest is a rounding error. But that's not all. Nvidia has also promised credit and equity support worth $1.23 on our scale. More than twice what it's already invested. 66 cents is in Frontier Labs, 89% of which is $105 billion credit guarantee backing OpenAI's 9.2 gigawatt half a trillion dollar Ohio data center. The rest is mostly the NeoClouds, capacity backstops, credit support, and equity checks into the vehicles that lend to them. But wait, in August, Blackstone, Goldman, BlackRock, Apollo, KKR, and Brookfield, along with Nvidia, agreed to finance more than $500 billion of future AI buildout, with Nvidia offering up to 25% residual support on the chips inside the deals. That's another 70 cents of potential investment on our scale. So for every $1 sales in the door, $1.79 is invested or promised, and up to $2.49 is on the hook. Compared to Lehman at 32-to-1 gross leverage, I think we're okay. What's more interesting is this chipmaker actually looks more like a venture capital or hedge fund invested across the whole stack, models, infrastructure, and apps. The only layer it's missing is energy, and I guarantee we'll see that in Q3 filings.
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Your ULTIMATE guide to AI’s least understood business: the “Neoclouds”. Here are additional points: 1. The advance rate, meaning how much neoclouds can borrow relative to the amount of money they need to spend on Capex (to buy chips and equipment) can get QUITE high, in some cases 90-95%+ depending on the credit of the “off-taker”, so from Meta for example. 2. Asset backed financing and project financing (one of the groups I worked in at Morgan Stanley) isn’t new. What is unique about these GPU backed financings are the much shorter contract length; in the power world you often see power purchase agreements of 15-20 years and assets that have a much longer useful life (think a gas turbine). In a power deal, the debt is shorter than the PPA, and the PPA is shorter than the asset’s life, which leaves a long tail. Here the loan, the contract, and the asset useful life are much closer in length, so there is a shorter tail behind the debt. While Coreweave does have other types of debt, this structure accounts for over half and funded much of its massive growth over the past few years. They also have a decent amount of convertible debt, which is utilized by higher risk companies; I also worked in convertible debt origination at Morgan Stanley as well so let us know if you want a video on how that works. :) 3. And finally what suprised me was the fact that on the other side, so if you look at an Anthropic’s balance sheet, “take or pay” agreements to buy the compute do not show up as a liability on the balance sheet, rather just shown as a footnote!! While this is consistent with accounting rules, it’s surprising. With that said, there is a huge need for compute and these companies are major players in providing the needed capacity. Many are starting to own more of the infrastructure (Coreweave even tried to buy Core Scientific). #ai #Tech #aiinfrastructure #TikTokTechContest

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