$Alphabet-A (GOOGL.US)$ Former CEO Eric Schmidt shared his insights on the stock market with students at Stanford University. While he is not a provider of investment advice, Schmidt pointed out that major technology companies are planning a large-scale investment.$NVIDIA (NVDA.US)$especially in the construction of artificial intelligence data centers, which could cost as much as $300 billion.

In a later-deleted video, Schmidt said, "I am talking to large companies. They tell me they urgently need $20 billion, $50 billion, even $100 billion." He also revealed that he is a close friend of OpenAI CEO Sam Altman.

Schmidt emphasized that a large portion of these massive investments will flow to Nvidia, whose AI data center chips dominate the market and have seen revenue growth of over 200% for three consecutive quarters. Meanwhile, Google's Tensor Processing Unit (TPU) chips, while potential competitors to Nvidia, are still in their early stages.

Schmidt suggested that if the entire $300 billion goes to Nvidia, investors should know how to react in the stock market. But he made it clear that this is not a stock recommendation. Schmidt did not reveal whether he holds Nvidia stock.

Schmidt served as CEO of Google from 2001 to 2011 and remained a board member until 2019. He requested the video be removed because he incorrectly referenced Google's work culture during the lecture. However, his frank comments reveal Nvidia's rise in the AI field and its core position in the generative AI trend.

Although Nvidia's demand is skyrocketing, Wall Street is questioning whether the chip maker's top customers are overinvesting in AI infrastructure. Nvidia will report quarterly results on August 28, providing the latest update to the market.

Schmidt believes that while Nvidia will not be the only winner in the AI field, there are not many other choices. He points out that large companies that can invest more money in Nvidia's chips and data centers will gain a technological advantage. Schmidt also mentioned that six months ago he was sure the gap was narrowing, so he invested heavily in small companies, but now he is less certain.

$Meta Platforms (META.US)$CEO Mark Zuckerberg's company has purchased about 600,000 Nvidia GPUs, and Meta's next-generation models will require about ten times the computing power. Additionally, Ultraman is collaborating to invest $100 billion to create an artificial intelligence data center called 'Stargate'.$Microsoft (MSFT.US)$Investment in artificial intelligence data centers is expected to be strong, highlighting the importance of infrastructure investment in AI technology implementation.

Schmidt also mentioned that competitors find it difficult to catch up with Nvidia because many of the most important open source tools used by AI developers are based on the company's CUDA programming language. AMD's translation of Nvidia's CUDA code to its own chips "doesn't work yet."

In 2010, Schmidt founded venture capital firm Innovation Endeavors and currently holds about 0.147 billion shares of Google stock worth about $24 billion. In addition to investing in startups, he is also a philanthropist and provides advice to multiple government technology committees.

After an in-depth analysis of Nvidia and its role in the AI field, let's turn to Wall Street's perspective for broader industry insights. As one of the world's leading investment banks, Goldman Sachs offers authoritative views on current market trends. After analyzing second-quarter earnings reports, Goldman Sachs notes that artificial intelligence (AI) is not only a focus of tech giants but has also become a core part of strategic planning for businesses across all industries.

Here are Goldman Sachs' summaries of the latest earnings reports from some well-known companies on Wall Street regarding AI applications and prospects:

$Amazon (AMZN.US)$Emphasizing the continued growth of generative and non-generative AI workloads, highlighting the critical role of AI in driving business innovation.

$Blackrock (BLK.US)$ Recognizing the strong demand for artificial intelligence data centers and energy transformation, highlighting the importance of infrastructure investment required for AI technology implementation.

$Visa (V.US)$Expressing full commitment to the new generation of artificial intelligence, which corresponds to their commitment to predicting the field of artificial intelligence in the past decade.

$Bank of America (BAC.US)$ By providing financial advisors with over 6 million AI-driven insights, it demonstrates the enormous potential of AI in improving customer service quality.

$RTX Corp (RTX.US)$ Plans to add more than 30 AI and deep learning use cases to improve productivity and save costs, demonstrating a firm commitment to digital transformation.

$T-Mobile US (TMUS.US)$Recognizing that artificial intelligence is a concern for customers in general and observing the ambitious promotion of large enterprises in this field.

These viewpoints not only reflect the penetration and application of AI technology in different industries, but also reveal the common understanding of enterprises in utilizing AI to drive growth and innovation. With the continuous advancement of AI technology, it will continue to be a key driver for corporate transformation and market development.

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

Editor/ping