50% jump in a key US index for semiconductor manufacturers
AI demand driving growth of the industry
Generative AI becoming focal point of every tech company and investor
Semiconductor companies central to facilitating generative AI across industries
Three-fold surge in Nvidia Corp.
The global euphoria about AI has propelled a three-fold surge in Nvidia Corp. and a 50% jump in a key US index for semiconductor manufacturers in less than a year, investors are pointing toward emerging markets for better value and a bigger pool of options.
At the Morgan Stanley Technology, Media & Telecom Conference, the industry's biggest companies and investors discuss opportunities in chips, software and data from the mass uptake of accelerated computing and generative AI. More than a year since generative artificial intelligence became the focal point of every tech company and investor, the pulse of conversation has moved from platform shift to meeting mass demand from companies and consumers looking to harness deep learning to be more efficient, productive and profitable.
A tipping point in AI demand was the overarching theme of Morgan Stanley's Technology, Media & Telecom Conference in San Francisco. Wall Street is searching for the next wave of artificial intelligence winners across emerging markets. Investors are looking specifically for stakes in the manufacturers of AI supply-chain components, such as cooling systems and power supplies.
Generative AI has become the focal point of every tech company and investor, with semiconductor companies being central to facilitating generative AI across industries.
Wall Street is searching for AI winners across emerging markets
Most Read from Bloomberg: RBC Fires CFO Ahn After Probe Into Personal Relationship, Saudis Scale Back Ambition for $1.5 Trillion Desert Project Neom, Trumpism Is Emptying Churches, Turkey Joins NATO Allies in Suspending Europe Arms Treaty
Mark Zuckerberg's Wealth Exceeds Elon Musk's for the First Time Since 2020
AI stocks are already leading a $1.9 trillion rebound in emerging markets this year, with Taiwanese and South Korean chip companies such as Taiwan Semiconductor Manufacturing Co. and SK Hynix Inc. accounting for 90% of the gains
Developing markets also offer faster growth
The tech companies that have historically been the suppliers to the big names may well emerge as the big players themselves
Accuracy
No Contradictions at Time
Of
Publication
Deception
(50%)
The article is deceptive in several ways. Firstly, it states that investors are looking for better value and a bigger pool of options by investing in emerging markets AI stocks. However, the article does not provide any evidence to support this claim. Secondly, the article mentions that most emerging market AI stocks still offer far better value than their US peers but fails to provide any data or statistics to back up this statement. Thirdly, the article quotes an analyst who states that a 61% increase in earnings for emerging-market technology companies as a whole is expected compared to the 20% rise that they were penciling in for US peers. However, it does not provide any data or statistics to support this claim either.
The article states that investors are looking for better value and a bigger pool of options by investing in emerging markets AI stocks but fails to provide any evidence to support this claim.
Fallacies
(85%)
The article contains several examples of informal fallacies. The author uses an appeal to authority by citing the opinions of experts in the field without providing any evidence or reasoning for their claims. Additionally, there are multiple instances where the author presents a dichotomous depiction of AI stocks in emerging markets versus those in developed markets, which is not supported by data presented later on. The article also contains inflammatory rhetoric when discussing the potential risks associated with investing in emerging market AI stocks.
The asset management arm of Goldman Sachs Group Inc. said it's looking specifically for stakes in the manufacturers of AI supply-chain components, such as cooling systems and power supplies.
Bias
(85%)
The article discusses the search for AI winners in emerging markets by investors. The author mentions that while Nvidia and US peers have surged in value, Asian AI giants are typically valued between 12 and 19 times. This suggests a potential bias towards undervaluing Asian companies compared to their US counterparts.
The asset management arm of Goldman Sachs Group Inc. said it's looking specifically for stakes in the manufacturers of AI supply-chain components, such as cooling systems and power supplies.
Site
Conflicts
Of
Interest (50%)
The author has multiple conflicts of interest on the topics provided. The article discusses Nvidia Corp., a semiconductor manufacturer that is valued at $35 times its projected earnings and Asian AI giants are typically valued between 12 and 19 times. This suggests that there may be financial ties between the author, Srinivasan Sivabalan, and these companies. Additionally, the article mentions Goldman Sachs Group Inc., JPMorgan Asset Management, which could indicate personal or professional affiliations with these organizations.
The article discusses Nvidia Corp., a semiconductor manufacturer that is valued at $35 times its projected earnings and Asian AI giants are typically valued between 12 and 19 times.
Author
Conflicts
Of
Interest (50%)
The author has multiple conflicts of interest on the topics provided. The article discusses Nvidia Corp., a semiconductor manufacturer that is valued at $35 times its projected earnings and Asian AI giants are typically valued between 12 and 19 times. This suggests that there may be financial ties to these companies, which could compromise their ability to act objectively on the topic of emerging markets in general.
The article discusses Nvidia Corp., a semiconductor manufacturer that is valued at $35 times its projected earnings and Asian AI giants are typically valued between 12 and 19 times.
Wall Street is searching for AI winners across emerging markets
Investors are looking specifically for stakes in the manufacturers of AI supply-chain components, such as cooling systems and power supplies.
Generative AI has become the focal point of every tech company and investor
Semiconductor companies are central to facilitating generative AI across industries
Accuracy
No Contradictions at Time
Of
Publication
Deception
(100%)
None Found At Time Of
Publication
Fallacies
(85%)
None Found At Time Of
Publication
Bias
(75%)
The author is Srinivasan Sivabalan and the article is published on https://www.bloomberg.com/news/articles/2024-04-07/wall-street-hunts-ai-winners-beyond_1_.html
investors are pointing toward emerging markets for better value and a bigger pool of options.
Some of the world's biggest money managers are searching for the next wave of artificial intelligence winners beyond the US.
Site
Conflicts
Of
Interest (50%)
None Found At Time Of
Publication
Author
Conflicts
Of
Interest (50%)
The author has a conflict of interest on the topic of AI in emerging markets as they are an investor and have financial ties to Nvidia Corp., which is mentioned in the article. The author also mentions their personal relationship with investors and Wall Street, indicating that they may be biased towards these topics.
The author has a conflict of interest on the topic of AI in emerging markets as they are an investor and have financial ties to Nvidia Corp., which is mentioned in the article. The author also mentions their personal relationship with investors and Wall Street, indicating that they may be biased towards these topics.
Investors are looking specifically for stakes in the manufacturers of AI supply-chain components
Developing markets also offer faster growth
Generative AI has become the focal point of every tech company and investor
Semiconductor companies are central to facilitating generative AI across industries
Accuracy
The global euphoria about AI has propelled a three-fold surge in Nvidia Corp and a 50% jump in a key US index for semiconductor manufacturers in less than a year.
Investors are looking specifically for stakes in the manufacturers of AI supply-chain components, such as cooling systems and power supplies.
Deception
(100%)
None Found At Time Of
Publication
Fallacies
(85%)
The article contains several examples of informal fallacies. The author uses an appeal to authority by citing the opinions and actions of various companies and individuals without providing any evidence or reasoning for their claims. Additionally, the author makes a false dilemma by suggesting that investors must choose between emerging markets or US tech stocks when in fact there are many other options available.
The asset management arm of Goldman Sachs said it is looking specifically for stakes in the manufacturers of AI supply-chain components, such as cooling systems and power supplies.
Generative AI has become the focal point of every tech company and investor
AI spending is estimated to be $3 trillion between 2023 and 2027, with generative AI composing 36% of that by 2027
Semiconductor companies are central to facilitating generative AI across industries
Accuracy
No Contradictions at Time
Of
Publication
Deception
(100%)
None Found At Time Of
Publication
Fallacies
(85%)
None Found At Time Of
Publication
Bias
(85%)
The article is biased towards the topic of generative AI and its potential impact on various industries. The author uses language that portrays generative AI as a game-changer in accelerated computing and productivity. They also use quotes from industry experts to support their claims about the immense appetite for well-positioned companies and investors, which may lead to bias towards those who are already invested or have a vested interest in the topic.
The pulse of conversation has moved from “platform shift” to meeting mass demand from companies and consumers looking to harness deep learning to be more efficient, productive and profitable.
Site
Conflicts
Of
Interest (50%)
There are multiple examples of conflicts of interest found in the article. The author is an employee of Morgan Stanley and reports on topics related to their business interests such as semiconductor companies, chip designers and makers, national governments, cloud service providers and big data companies.
The article discusses how generative AI can improve accuracy for semiconductor design. This is a topic that Morgan Stanley has an interest in because they are involved in the development of software products for the semiconductor industry.
