{"id":199532,"date":"2025-10-09T06:51:08","date_gmt":"2025-10-09T06:51:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/ca\/199532\/"},"modified":"2025-10-09T06:51:08","modified_gmt":"2025-10-09T06:51:08","slug":"nvda-amd-smci-stocks-soar-after-nvidia-ceo-jensen-huang-says-ai-demand-is-up-substantially","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ca\/199532\/","title":{"rendered":"NVDA, AMD, SMCI \u2013 Stocks Soar after Nvidia CEO Jensen Huang Says AI Demand Is Up \u201cSubstantially\u201d"},"content":{"rendered":"

Nvidia (NVDA)<\/a> stock surged 2.2% on Wednesday after CEO Jensen Huang<\/a> declared that the demand for AI<\/a> computing has grown \u201csubstantially\u201d in the last six months. His comments helped offset concerns about the AI bubble<\/a>, pushing AI stocks such as Super Micro Computer (SMCI)<\/a> and AMD (AMD)<\/a> up 6.6% and 11.4%, respectively.<\/p>\n

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Speaking on CNBC\u2018s Squawk Box, Huang attributed the intense appetite for AI chips to the rapid advancements in model capabilities. He said that the computing demand is not only due to the high-power needs of AI reasoning models but also because of rapid growth in model capabilities.<\/p>\n

He noted, \u201cThe AIs are smart enough that everybody wants to use it. We now have two exponentials happening at the same time.\u201d<\/p>\n

Also, Huang noted that demand for Blackwell, Nvidia\u2019s most advanced GPU, is \u201creally, really high,\u201d adding, \u201cI think we\u2019re at the beginning of a new buildout, beginning of a new industrial revolution.\u201d<\/p>\n

Huang Warns of a Key Bottleneck<\/p>\n

Despite rising demand, Huang acknowledged a key bottleneck: energy supply. The massive scale of the AI infrastructure being planned has raised concerns about power consumption.<\/p>\n

To meet this escalating demand and protect consumers from high electricity bills, Huang stated\u00a0that the AI industry must build new power generation facilities \u201coff the electric grid.\u201d<\/p>\n

Looking to the future, he suggested that data centers should be equipped to run on natural gas and, eventually, nuclear power to ensure a stable and sufficient energy supply.<\/p>\n

Further, Huang warned that the U.S. is \u201cnot far ahead\u201d of China in the AI race, citing China\u2019s rapid advancements in energy infrastructure, domestic chip development, and quick adoption of AI applications. He noted China is \u201cwell ahead\u201d in building power infrastructure for large-scale AI and has advanced domestic AI chip startups.<\/p>\n

Which AI Stock Is the Better Buy?<\/p>\n

Out of the stocks mentioned above<\/a>,\u00a0analysts think that NVDA stock<\/a> has the most room to run. In fact,\u00a0Nvidia\u2019s average price target<\/a>\u00a0of $217.75 per share implies more than 15% upside potential. On the other hand, analysts expect a downside risk of 22.7% from\u00a0SMCI stock<\/a>. <\/p>\n

\"\"<\/a><\/p>\n

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