We recently published a list of The 35 actions of the most important AI of the COATUE. In this article, we are going to examine where Nvidia Corporation (Nasdaq: NVDA) stands against the other actions of the most important AI of Cotoue.
Artificial intelligence (AI) has fueled a major rally in the technology sector, which increases the key clues to the market. In the past year, the S&P 500, strongly influenced by technology giants, increased by almost 22%, while the NASDAQ composite in charge of technology increased by more than 26%. Initially, market analysts had predicted an increase in interest concerning growth options for 2024 due to the relaxation of inflation and potential rate decreases. However, AI has taken this expected interest and amplified it in a wave of optimism on the scale of the economy. Although technological actions have been the main beneficiaries, the influence of AI is developing in all sectors such as manufacturing, supply chain, transport, entertainment and retail.
Investment in AI is developing rapidly in various sectors. A recent Goldman Sachs report estimates that global companies will invest nearly $ 1 Billion in AI infrastructure in the coming years. Visque capital investments (VC) in AI startups are also increasing. During the first half of 2024 only, venture capital companies concluded around 200 AI transactions, injecting nearly $ 22 billion into the sector. The AI Middle Startup financing cycle now exceeds $ 100 million, the company’s assessments, reaching an average of more than $ 1 billion. On the other hand, non -AI startups generally receive approximately $ 20 million in funding and have evaluations close to $ 200 million, which indicates the disproportionate appeal of AI to investors.
Companies that have been adopted early in AI have experienced significant gains, in particular those specialized in graphic processing units (GPU), AI fleas and AI generating technologies. The median yields of companies related to AI in the S&P 500 are 20%, against only 2% for non -AI shares. AI companies are also responsible for 90% of the total NASDAQ composite index. These gains should stimulate profits and contribute to broader economic expansion. According to Joseph Briggs, a senior world economist at Goldman Sachs, AI should automate 25% of all work tasks over the next decade, increasing American productivity by 9% and increasing GDP growth by more than 6%.
Philippe Laffont of Sleeve management Maintains that AI could be the start of a new “super cycle” in the technology industry. Previous cycles included the rise of personal computers in the 1980s, networking in the 1990s, wired Internet in the 2000s and mobile Internet in the 2010s, leading to the cloud era. However, experts in software and Internet Kash Rangan and Eric Sheridan highlight a key difference: this time, companies directly link AI investments directly to the generation of income, offering a financial security net that was absent in previous cycles.
Since the launch of Chatgpt by Openai at the beginning of 2023, the attention of the industry has gone from the software to the hardware and the infrastructure of the AI. IA infrastructure companies have collectively added nearly $ 6 billions to their market capitalization since the first quarter of 2023., Internet and industrialists. Interestingly, the companies in these sectors that support the development of AI have posted yields rivaled with traditional AI companies.
The growing demand for AI -focused data centers also stimulates investments in the energy and public services sectors. Goldman Sachs analysts, Carly Davenport and Alberto Gandolf, expect the adoption of AI to increase the demand for electricity not observed for decades. However, the question of whether AI growth will be aligned with investment in energy infrastructure remains uncertain due to the regulatory constraints and limitations of the supply chain in the public services sector. Even if the necessary investments materialize, their complete advantages can take years to reach AI companies.
Some investors remain cautious, fearing a bubble of AI similar to the dot-com crash in the early 2000s. However, current data suggest that AI assessments are much more anchored than those of the Dot-Com era. At the height of the Dot-Com bubble, software companies have negotiated with price / profits ratios (P / E) of 132x, compared to a five-year average of 37x in 1999. On the other hand, in 2023, even The largest IA stocks had P/ E ratios around 39x, with an average over five years of 40x. These figures suggest that AI assessments are not overinfused, strengthening the confidence of investors in the long -term AI potential.
AI companies are increasingly targeting the evaluations of several billion dollars, comparable to the largest software and Internet companies today. Over the past decade, technology giants have evolved their businesses at unprecedented levels, combining billions of users, hundreds of billions of revenues and tens of billions of net income. Today, a handful of companies represent 80% of the assessment of fortune 500. These companies dominate industries such as smartphones, electronic commerce, cloud computing and software as a service (SaaS), that ‘The is all ready to disrupt. Consequently, these companies aggressively integrate AI into their commercial strategies to maintain market leadership.
Some investors fear that IA companies can overshadow software companies, which has an impact on long -term assessments. The price / sales ratio (P / S) for software actions, which culminated in 2021, is now in a historic hollow. The slower profit growth has also contributed to the negative feeling of the sector. Cotue’s research shows that over the next twelve months, only 1% of Saa companies expect profits of 30%, against 30% during the Saa Boom. However, as human-machine interaction moves to the treatment of natural language and generative AI, software societies that successfully integrate AI into their platforms are likely to prosper.
As inflation is cooling, rate increases facilitate the ease and the prospects of a gentle economic landing improves, the macroeconomic perspectives of the AI remain strong. The AI is now the main engine of future profits in the S&P 500. According to COATUE projections, AI AIX actions should grow at an annual rate made up of almost 20% in the next three years , outclasing the shares not approximately 14%. In addition, 40% of income from the future technological sector should be fueled by AI progress. All available data indicate a brilliant future for AI investments, its influence extending far beyond traditional technological companies. While companies continue to integrate AI into their operations, productivity and economic growth should accelerate, making AI one of the most transformative forces in modern history.
For this article, we have selected AI actions by painting a note on the AI industry by COATUE Management. These actions are also popular among other hedge funds. Why are we interested in the stocks in which the hedge funds stacked? The reason is simple: our research has shown that we can surpass the market by imitating the main choices of stock of the best hedge funds. The strategy of our quarterly newsletter selects 14 shares with small capitalization and high capitalization each quarter and has rendered 275% since May 2014, beating its reference with 150 percentage points (See more details here).
NVIDIA Corporation (NVDA): AI revenues soar with growth in the data center
Number of hedge holders: 193
NVIDIA Corporation (NASDAQ: NVDA) provides graphic, computer and networking solutions. In the fourth quarter report of 2024, the benefit of CEOs per diluted share was $ 4.93, which showed an increase of 33% compared to the previous quarter and up 765% compared to there is a year. The non-gap per share per share diluted was $ 5.16, showing an increase of 28% compared to the previous quarter and up 486% compared to a year ago. These parameters indicate solid financial performance motivated by higher income and improved margins, positioning the company for continuous success. In addition, record revenues of the quarterly data center were $ 18.4 billion, which indicates an increase of 27% compared to the third quarter, indicating an increased demand for products or services from the data center, possibly caused by trends such as the expansion of cloud computing. NVIDIA Corporation (NASDAQ: NVDA) has also launched AI foundation models for RTX AI PCS. These models offered in the form of NVIDIA NIM microservices, are accelerated by new GPUs in the GeForce RTX 50 series, which have up to 3,352 Billions of operations per second of AI performance and 32 GB of VRAM.
Overall, NVDA rank 4th On our list of the most important AI actions in Cleue. While we recognize the potential of NVDA as an investment, our conviction lies in the conviction that certain actions are more promising to provide higher yields and do it within a shorter period. If you are looking for a more promising stock than NVDA but which is negotiated within 5 times its income, consult our report on the Stock ai the cheapest.
Marvin Evans is a finance and fintech professional with 20 years of industry experience, including more than a decade working across the fintech sector. He is the founder of Fintech Bits and Finjobsly, and writes about fintech markets, financial technology, industry trends, innovation and the evolving fintech workforce. His analysis combines hands-on industry experience with data-led research to provide practical insight into the companies, technologies and trends shaping financial services.
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