The Fed faces a conundrum where its policy has uneven effects. While high rates are restrictive for the mortgage market, they are perceived as cheap financing for tech giants. These companies see borrowing as a low-cost call option on the massive potential of AI, fueling a CapEx boom that monetary policy struggles to contain.

AI companies with the foresight to sign long-term, multi-year compute contracts gain a significant margin advantage. They lock in prices based on past valuations, while competitors are forced to buy capacity at much higher current market rates driven up by the increasing value of new AI models.

Major hyperscalers with AA ratings are relatively insensitive to higher borrowing costs because their expected returns on AI investments exceed 25%. In contrast, lower-quality developers are constrained by wider spreads, making funding costs a 'natural stabilizer' of new supply from smaller players.

Contrary to Wall Street fears of a high-cost, low-profit business, AI cloud providers like CoreWeave are leveraging intense demand to shorten contracts, raise prices, and boost margins. This proves that accelerating revenue growth and high profitability can coexist in the capital-intensive AI infrastructure sector.

Rising interest rates create a double-whammy for AI firms. They increase borrowing costs for massive infrastructure projects and simultaneously reduce stock valuations as analysts apply higher discount rates to far-future cash flows.

Certain sectors, like AI infrastructure and air travel, exhibit highly inelastic demand. Companies and consumers continue spending despite huge price hikes, suggesting the Fed's interest rate tool may be ineffective at cooling these key inflationary drivers.

The biggest risk to capital-intensive AI ventures isn't a lack of demand but losing access to cheap financing. The current boom is built on borrowing long-dated money at low rates (e.g., 6%). A shift to a higher yield environment (8-10%) would make funding massive, negative cash-flow projects untenable.

Major tech companies are financing their AI build-outs so aggressively that they are undeterred by rising debt costs. This inelastic demand for capital could drive up borrowing costs across the entire corporate bond market, creating a 'crowding out' effect that impacts companies in unrelated sectors.

The market fears rising credit costs will stall the AI buildout. However, existing GPU compute is contracted at prices far below current spot rates. As these contracts expire, repricing will accelerate hyperscaler operating cash flow, allowing them to self-fund expansion without needing as much debt.