Crypto broadly sold off during the Asian session, wiping out about $60 billion in total market value. $BTC fell back below $84,000, and the key source gave no crypto-specific reason. Without any crypto-native negative catalyst, it’s difficult to attribute the drop in trading to a particular crypto narrative; the source also gave no trigger, so we shouldn’t infer a specific cause.
Meanwhile, debt financing for AI infrastructure continues to ramp up. According to reports, $SPCX is seeking to raise $40 billion with Apollo leading the deal, specifically to buy $NVDA chips. The structure is roughly $10 billion in bank loans and $30 billion in investment-grade bonds.
This money isn’t going toward models or applications—it’s going directly to computing hardware. The procurement is ultimately for $NVDA , putting the company in a direct pick-and-shovel position in the deal structure.
The risk lies in that same position. Debt financing ties AI capital expenditure more closely to interest rates and credit spreads. If the financing window narrows, the pace of orders will be more sensitive than under a model funded with internal capital; strong orders don’t mean financing will always remain smooth.
Viewed side by side, the two stories point to different short-term risk appetites: crypto is being sold off in the absence of an internal catalyst, while real financing and procurement are still moving ahead in the AI supply chain. The point of divergence isn’t the story, but the cost of capital.
Meanwhile, debt financing for AI infrastructure continues to ramp up. According to reports, $SPCX is seeking to raise $40 billion with Apollo leading the deal, specifically to buy $NVDA chips. The structure is roughly $10 billion in bank loans and $30 billion in investment-grade bonds.
This money isn’t going toward models or applications—it’s going directly to computing hardware. The procurement is ultimately for $NVDA , putting the company in a direct pick-and-shovel position in the deal structure.
The risk lies in that same position. Debt financing ties AI capital expenditure more closely to interest rates and credit spreads. If the financing window narrows, the pace of orders will be more sensitive than under a model funded with internal capital; strong orders don’t mean financing will always remain smooth.
Viewed side by side, the two stories point to different short-term risk appetites: crypto is being sold off in the absence of an internal catalyst, while real financing and procurement are still moving ahead in the AI supply chain. The point of divergence isn’t the story, but the cost of capital.