Nvidia CEO Jensen Huang said he would like the Trump administration to change the regulations related to exporting AI technology from the U.S. for businesses to better capitalize on future opportunities, Bloomberg News reported on Wednesday.
On April 25, Joseph Moore, an equity researcher from banking giant Morgan Stanley, revised his price target on Nvidia stock (NASDAQ: NVDA).
Just a few years ago, Nvidia (NVDA 0.12%) generated more of its revenue in China than it did in the United States. But as the artificial intelligence (AI) boom took off, the U.S. started to become a bigger and bigger source of growth for the chip designer.
Nvidia's $5.5 billion charge due to U.S. export guidelines has caused an overreaction; U.S. demand for GPUs remains strong, supporting long-term growth. Nvidia's sales and operating profits have surged, driven by robust data center demand and AI advancements, with operating margins above 60%. China represents a decreasing portion of Nvidia's sales; the U.S. market is more critical, ensuring continued profit upscaling despite export restrictions.
Super Micro Computer Inc. saw its stock tumble nearly 17% in after-hours trading Tuesday, after pre-announcing a big March-quarter shortfall — and the transition to new Nvidia Corp. chips could be the reason why.
Shares of NVIDIA Corp. (NASDAQ: NVDA) were flat in a.m.
Nvidia faces significant macroeconomic and geopolitical risks, including tariffs and export restrictions, impacting its ability to sell AI accelerators in China. Despite these challenges, the global demand for AI accelerators remains significant. My updated DCF model, which accounts for a 10% revenue decrease due to China-related disruptions, still shows NVDA's fair value at $162.34 per share, indicating it remains undervalued.
Zacks.com users have recently been watching Nvidia (NVDA) quite a bit. Thus, it is worth knowing the facts that could determine the stock's prospects.
Cathie Wood's Ark funds have been feeling extra pain at the hands of the recent Trump correction (or crash for portfolios that are heavily invested in high-multiple tech stocks), but that hasn't stopped her from buying the dip.
The bearish note around Nvidia still prevails as the stock performance is prominently lagging behind the earnings growth vector. There is no indication from Nvidia's major partners that investments in the AI market could slow down any time soon. The company is closing the inference gap with Blackwell architecture ahead of the next wave of high-performance computing.
“AI-diffusion” rules could limit the U.S. chip company's sales even to friendly countries—and give more opportunity to foreign rivals.
Nvidia stock is likely to be driven by whether U.S. technology companies are continuing to spend on artificial-intelligence data centers.