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Thursday, November 12, 2026

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@convequity

Convequity on X

Neoclouds Now Trade as a Hedge Against AI Demand Growth Convequity’s latest ABBX review shows $CRWV, $NBIS and $IREN are inversely correlated with AI demand growth. Stronger demand widens the working-capital hole and keeps investors risk-off, even as order books expand. Insatiable demand is usually the reason to own the supplier. Here it does the opposite. Jensen Huang told CNBC at GTC Berlin that neocloud demand is “off the charts” and that working capital is the missing piece. Working capital is current assets minus current liabilities. A cash-conversion mismatch squeezes it even when demand is huge. Liabilities hit first. A neocloud pays $NVDA and networking suppliers in roughly 30–60 days. Asset-backed hardware loans add heavy near-term debt service. Assets lag. A signed customer contract sits off the balance sheet as backlog. It only becomes receivables or cash once the cluster is deployed, energized and billed — months later. Cash leaves before revenue arrives. A faster pipeline simply widens the short-term deficit. Latest ABBX figures NBIS: $8.5B gross debt vs $8.0B cash; guidance for >$9B customer prepayments this year. IREN: $7.6B debt vs $5.9B cash; $13.8B hardware and site commitments; 20% prepay on the Microsoft contract. CRWV: $35.6B debt vs $5.5B cash, plus $16.3B operating leases and $35.5B rent not yet commenced. Build-out relies far more on debt than customer prepayments. Even with those prepayments, NBIS and IREN keep raising large extra funding. CRWV faces the same hole with a far larger debt stock. Handing contracts back to resell at higher spot prices would ease CRWV’s cash hole only if customers and lenders agreed. Customers pay even if they do not use the capacity, CRWV must deliver it, and we found no public right to change the price or exit early. Break a customer contract and the hardware lenders can lock up CRWV’s cash. If that lockup holds, they take the cash to repay the loan. Borrowing later would cost more, and the switch only pays while spot stays high. If spot fell, CRWV would lose both the committed revenue and the contract value backing those loans. For investors to turn risk-on again, AI demand growth needs to slow enough for infrastructure supply to catch up.
@BrokenMoats 1 click

Broken Moats on X

Gaslighting how $RNG talks about cash flow but ignore the 240m in SBC (roughly 40% of that number). Talking 22-23x cash flow at the implied open. 85x roughly gap eps numbers....for a business that has inflected from 5.5 to 6% growth this year.....They can talk AI and % of ARR abut at the end of it the total impact is having a marginal move on the business. They did some nice work to clean up some costs and get profitability to true gap levels. But that was from bloated application days and low hanging fruit. Thats the move from 14-40. Very difficult for this math of fundamentally make sense from hereat these levels.
@convequity

Convequity on X

$NVDA is in a bind. In our view it needs enterprise AI adoption to grow quickly, but a typical enterprise cannot afford Nvidia's GPUs and does not have the resources to build and run an Nvidia stack directly. So enterprises take the cheaper and more manageable option and access AI through the hyperscalers. They skip the large upfront cost, and they can run inference on the hyperscalers' custom ASICs, or at least have that option versus Nvidia's GPGPUs. In our view, those ASICs are the more efficient inference choice where a hyperscaler offers them. To curtail that, we think Nvidia would have to cut GPGPU prices sharply enough to make direct enterprise adoption realistic. That means lower margins. Dell ($DELL) was supposed to be the way around the bind, a channel that puts Nvidia compute in front of enterprises that will not build the stack themselves. We think Dell has mostly used the relationship to secure GPU supply and grow its own revenue and margins, not to open the smaller enterprise market Nvidia needs. Palantir ($PLTR) is still the exception on enterprise AI adoption, not on buying Nvidia compute directly. Its US commercial revenue grew 149% year on year last quarter, accelerating from 133% the quarter before. Outside Palantir and coding agents, we see little enterprise success. The bind stands. Direct enterprise adoption of Nvidia compute is still progressing very slowly, and we do not see a way out that leaves margins where they are.

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