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Nvidia close to being first trillion-dollar chip firm on AI use

Al Jazeera

Nvidia Corp stock has soared about 26 percent, taking it closer to a market value of $1 trillion after the chip designer's stellar revenue forecast showed that Wall Street has yet to price in the game-changing potential of artificial intelligence. Thursday's surge added to a more than two-fold rise in the stock this year and was set to increase Nvidia's value by about $196bn to nearly $951bn, putting it on course for the largest single-day value gain for a US firm. That market capitalization makes Nvidia twice the size of the second-largest chip firm, Taiwan's TSMC. In the United States, it trails only the trillion-dollar value companies Apple Inc, Alphabet Inc, Microsoft Corp and Amazon.com The rosy earnings also sparked a rally in the chip sector and for AI-focused firms, lifting stock markets from Japan to Europe.


Chip Maker Nvidia Shares Soar 14% As Imaginations For AI Future Run Wild

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Nvidia stock skyrocketed Thursday after the Silicon Valley chipmaker smashed on earnings and boasted about its ability to cash in on the artificial intelligence craze, but one analyst says Nvidia's $70 billion single-day gain is unwarranted. Nvidia CEO Jen-Hsun Huang got $3 billion richer Thursday. Nvidia posted $6.1 billion in sales and $0.88 in profit per share over the last three months of 2022, each beating analyst expectations, and projecting it will beat sales estimates for the current quarter. But perhaps more important for investors was Nvidia leadership's focus on its AI business, with CEO Jensen Huang declaring in the Wednesday earnings call his company will be "the best AI salespeople [in] Nvidia shares surged 14% to just under $237, its highest level since April 2022. Investors can now "dream the dream" about Nvidia's long-term growth potential, Bernstein strategists led by Stacy Rasgon wrote in a Thursday note, upgrading its price target for Nvidia from $200 to $265, implying more than 10% further upside.


AI will help Google parent Alphabet navigate a challenging macro environment, say analysts - MarketWatch

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In a note released Friday JPMorgan analyst Doug Anmuth wrote that AI is reaching "an inflection point" at Alphabet. "Amidst a challenging operating environment, we're encouraged by upcoming AI products & what feels like deeper commitment to rationalize the cost structure, though there is still some uncertainty around magnitude and timing," he wrote. See Now: Google suffered'pullback' in ad spending over holidays, Alphabet stock falls after earnings The analyst explained that AI has been integral to Alphabet's business for many years, driving search and broader ads performance, while also supporting its cloud business. "After years of heavy investments along with recent competitive pressures, Google will roll out several new AI tools over the next few months," he added, highlighting the company's efforts to layer its LaMDA chatbot conversation technology across the company's suite of products, specifically in search and in a possible standalone product. In addition to the company's efforts to deliver AI tools to app developers, Anmuth also pointed to its plans to introduce AI-powered features to Workspace and "large language models" to Gmail and Docs.


Number 1 Ai Stock for 2023

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This article introduces one of my value investments starting about a month ago. C3.Ai appears to be incredibly undervalued, the earnings report is bullish along with the recent Ai momentum. Ai stocks have taken a massive hit during this bear market presenting a possibly massive discount on the sector. Artificial Intelligence is growing and advancing whether we like it or not. Those who do not embrace, or least educate themselves on the topic may fall behind in the next few years.


Google: LaMDA Vs. ChatGPT - AI-Driven Language Models At War (GOOG) (GOOGL)

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Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) moat was recently questioned by many market analysts and SA contributors alike, due to the exciting arrival of ChatGPT. However, we beg to differ, since the AI chatbot game was not new, with Microsoft (MSFT) previously launching its own version, Tay AI in 2016 and Meta (META), similarly introducing BlenderBot 3 AI in August 2022. We must also highlight that GOOG has had a similar offering since 2020, LaMDA [Language Model for Dialogue Applications], in various beta forms and iterations. Most importantly, the ChatGPT platform was originally developed by researchers at GOOG in 2017. One of the platform's engineer, Blake Lemoine, had interestingly believed that the LaMDA AI platform was sentient then. The following is ChatGPT's response when asked, "tell me more about you": According to market speculation, LaMDA was previously not launched, as the AI chatbot's conversational platform did not fit with GOOG's existing advertising model, which accounted for 81% of its revenue in FY2021.


The Future of Artificial Intelligence: 10 Companies, 10 Predictions

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In this article, we discuss the future of artificial intelligence, including 10 predictions about 10 companies. The future of artificial intelligence (AI) is a topic of much speculation and debate. Some experts believe that AI has the potential to revolutionize many aspects of society and industry, while others are more cautious about its potential impact. The artificial intelligence sector is thriving across the globe. AI-enabled tools, like smarter chat-bots for customer service and robots for self-service at banks, are gaining traction in the mainstream.


The Top 10 Leaders in AI Companies - IEMLabs Blog

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Best AI Technology leaders are Google, Amazon, IBM, Microsoft, Salesforce, Oracle, NVIDIA, Intel, SAP, and Adobe. The global artificial intelligence market is expected to grow from $2.9 billion in 2019 to $19.6 billion by 2024, at a CAGR of 42.6% during the forecast period. The growth of the artificial intelligence market is driven by the increasing demand for intelligent virtual assistants, such as Amazon Alexa and Google Home, and the increasing adoption of AI-based technologies by enterprises. According to Zion Market Research, The global artificial intelligence market is anticipated to increase from $59.7 billion in 2021 to $422.4 billion by 2028. Robotics, automation, and AI are causing disruption in almost every business.


Artificial Intelligence Stocks: The 10 Best AI Companies - WTOP News

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AI stocks may be excellent long-term investments. The global artificial intelligence industry is expected to grow from $59.7 billion in 2021 to $422.4 billion by 2028, according to Zion Market Research. Virtually every industry is being disrupted by AI, automation and robotics. Whether it be machine learning, smart applications and appliances, digital assistants or autonomous vehicles, companies that aren't investing in AI products and services risk becoming obsolete. Countless companies stand to benefit from AI, but a handful of stocks have AI and automation as a central part of their businesses.


11 Best Metaverse Stocks to Buy

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In this article, we will be taking a look at the 11 best metaverse stocks to buy. To skip our detailed analysis of these stocks and the rise of the metaverse, you can go directly to see the 5 Best Metaverse Stocks to Buy. With the rise of the Internet, many other new developments have come to the forefront. This includes the rise of the metaverse, which is a hypothetical iteration of the Internet as a single, universal, and immersive virtual world. Such a world includes the use of virtual reality and augmented reality technology, to facilitate its growth and development.


10 Best Machine Learning Stocks To Invest In

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In this article, we will discuss the 10 best machine learning stocks to invest in. If you want to explore similar stocks, you can also take a look at 5 Best Machine Learning Stocks To Invest In. According to an industry analysis report by Fortune Business Insights, the global machine learning industry was valued at $15.4 billion in 2021 and is expected to reach a value of over $21 billion in 2022. The machine learning industry is expected to grow at a compound annual growth rate of 38.8% from 2022 through 2029 and reach a value of $210 billion by the end of 2029. One of the major drivers of this growth is the increasing adoption of machine learning in a variety of industries including technology, healthcare, manufacturing, automotive, retail, advertising, automation, defense, and financial services among others.