$Alphabet-A (GOOGL.US)$ Former CEO Eric Schmidt shared his views on the stock market to students during a lecture at Stanford University. Although he's not the one to provide investment advice, Schmidt points out that big tech companies are planning to$NVIDIA (NVDA.US)$Large-scale investments, particularly in the construction of artificial intelligence data centers, are estimated to cost as much as 300 billion dollars.

In a video that was later removed, Schmidt said, “I'm talking to big companies, and they told me they urgently need 20 billion dollars, 50 billion dollars, or even 100 billion dollars.” He also revealed that he is a close friend of OpenAI CEO Sam Altman.

Schmidt emphasized that a large portion of these huge investments will go to Nvidia, which produces data center AI chips that dominate the market and has achieved revenue growth of more than 200% for three consecutive quarters. Meanwhile, although the tensor processing unit (TPU) chip developed by Google has the potential to compete with Nvidia, it is still in its early stages.

Schmidt hinted that if all of the $300 billion went to Nvidia, investors should know how to react in the stock market. But at the same time, he made it clear: “This is not a stock recommendation.” Schmidt did not disclose whether he owns Nvidia shares.

According to information, Schmidt served as Google's CEO from 2001 to 2011 and was a board member until 2019. He requested that the video be removed because he mistakenly mentioned Google's work culture during the lecture. However, his candid remarks revealed Nvidia's rise in the field of artificial intelligence and its central position in the generative AI boom.

While Nvidia's demand is soaring, Wall Street is questioning whether the chipmaker's top customers are overinvesting in AI infrastructure. Nvidia will report quarterly results on August 28, at which time it will provide the latest market updates.

Schmidt believes that while Nvidia won't be the only winner in the field of artificial intelligence, there aren't many other options. He pointed out that large companies that can invest more in Nvidia chips and data centers will gain a technological lead. Schmidt also mentioned that six months ago he was convinced that the gap was closing, so he invested a lot of money in small companies, but now he's not that sure.

$Meta Platforms (META.US)$CEO Mark Zuckerberg's company has purchased around 0.6 million Nvidia GPUs, and Meta's next model will require about 10 times more computing power. Additionally, Altman is working with$Microsoft (MSFT.US)$The partnership plans to invest 100 billion dollars to build an artificial intelligence data center called “Stargate”.

Schmidt also mentioned that it is difficult for competitors to catch up with Nvidia because many of the most important open source tools AI developers use are based on the company's CUDA programming language. AMD's software that translates Nvidia's CUDA code into its own chip “doesn't work yet.”

Schmidt founded the venture capital firm Innovation Endeavors in 2010 and currently holds about 0.147 billion Google shares worth about 24 billion dollars. In addition to investing in startups, he is a philanthropist and advises several government technical committees.

After an in-depth analysis of Nvidia and its role in artificial intelligence, let's turn to a Wall Street perspective to gain broader industry insights. Goldman Sachs, as one of the world's leading investment banks, provides an authoritative view of current market trends. After analyzing the second-quarter results report, Goldman Sachs pointed out that artificial intelligence (AI) is not only the focus of attention of tech giants, but has also become a core part of the strategic planning of enterprises in various industries.

Here's Goldman Sachs's summary of AI applications and prospects in some of Wall Street's most prominent companies in their latest earnings reports:

$Amazon (AMZN.US)$The continued growth of generative and non-generative AI workloads was highlighted, showing the critical role of AI in driving innovation in their businesses.

$Blackrock (BLK.US)$ Seeing strong demand in the field of artificial intelligence data centers and energy transformation, it highlights the importance of the infrastructure investment required to implement AI technology.

$Visa (V.US)$They expressed their full commitment to the next generation of artificial intelligence, which echoes their commitment over the past decade in the field of predictive artificial intelligence.

$Bank of America (BAC.US)$ By providing financial advisors with more than 6 million AI-driven insights, it has demonstrated the enormous potential of AI to improve the quality of customer service.

$RTX Corp (RTX.US)$ Plans to add more than 30 AI and deep learning use cases to increase productivity and save costs reflect a strong commitment to digital transformation.

$T-Mobile US (TMUS.US)$Recognize that artificial intelligence is a common customer concern, and have observed ambitious advances in this field by large enterprises.

These views not only reflect the penetration and application of AI technology in different industries, but also reveal the common understanding of enterprises using AI to drive growth and innovation. As AI technology continues to advance, it will continue to be a key driving force for enterprise transformation and market development.

For investors looking to include the AI sector in their portfolios, consider some exchange-traded funds that aim to provide investment opportunities in this field, such as artificial intelligence funds$Alternative Investment Trust (AIQ.AU)$,$Global X Robotics & Artificial Intelligence Thematic ETF (BOTZ.US)$,$Alps Etf Trust Alps Disruptive Technologies Etf (DTEC.US)$,$First Trust Nasdaq Artificial Intelligence And Robotics Etf (ROBT.US)$ 。

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