Nvidia ended the September 21–25 trading week at $225.07, up 1.26% from the previous Friday’s close, after moving through a volatile five-session period. The week’s performance illustrates a changing market dynamic in which the world’s leading AI chipmaker is increasingly sensitive not only to semiconductor demand but also to energy prices, bond yields and the cost of financing the global AI infrastructure buildout.

Nvidia’s Weekly Gain Masks a Volatile Trading Pattern

Nvidia started the week strongly, rising 2.30% on September 21 to $227.38, followed by another 0.66% gain on September 22. The momentum then reversed, with the stock falling 1.47% on September 23 and another 0.41% on September 24 before recovering modestly on Friday. The result was a relatively contained weekly gain despite substantial daily fluctuations.

The pattern is significant because Nvidia increasingly functions as a market proxy for expectations surrounding AI capital expenditure. The company’s fiscal second-quarter revenue reached $46.2 billion? [Correction: the latest reported figure was $96.2 billion], with data-center revenue of $89.0 billion, according to recent reporting. The strength of that demand has kept the AI investment cycle intact, but investors are increasingly examining the cost of supporting that growth.

Why Oil Prices Matter to the AI Trade

The comparison with an oil stock reflects a broader change in the economics of artificial intelligence. Data centers require substantial electricity, while construction and expansion depend on power infrastructure, equipment and financing. When crude prices rise and inflation expectations increase, Treasury yields can also move higher, raising the discount rate applied to high-growth companies.

That relationship became particularly visible during September, when Brent crude moved above $100 per barrel and the U.S. 10-year Treasury yield approached or exceeded 5.2%. Reuters reported that the September 25 market rebound occurred as oil prices eased and Treasury yields declined, helping technology shares regain momentum.

AI Demand Remains Strong, but the Cost Equation Matters

Nvidia’s fundamental position remains closely tied to the pace of AI infrastructure investment. At the same time, the market is beginning to scrutinize whether hyperscalers and other AI developers can sustain exceptionally high capital expenditure while facing elevated borrowing costs. Reuters has noted that major technology companies have been issuing substantial amounts of debt to finance AI infrastructure, increasing the importance of financing conditions for the sector.

For Israeli investors with exposure to U.S. technology stocks, this creates a more complex transmission channel. Shekel-dollar volatility, global bond yields, energy prices and geopolitical risk can affect the effective return and valuation of overseas technology holdings even when company-specific earnings remain strong.

Looking ahead, Nvidia’s ability to maintain its earnings trajectory while navigating higher energy and financing costs will be central to the AI trade. The company’s newly expanded $150 billion share-repurchase authorization, bringing total authorization to $235 billion through fiscal 2028, adds another element to the valuation debate, but it does not remove the broader risks surrounding AI capital intensity, competition, China-related restrictions, interest rates and geopolitical premiums.