Latest news with #BethKindig
Bloomberg
30-07-2025
- Business
- Bloomberg
Not Interested in Apple or Amazon: I/O Fund's Kindig
Lead Tech Analyst at I/O Fund Beth Kindig says she isn't interested in Apple or Amazon as an AI investor. She explains where she does see potential and why she believes stocks like Arm and Meta are overvalued on 'Bloomberg Tech.' (Source: Bloomberg)
Yahoo
10-07-2025
- Business
- Yahoo
1 Artificial Intelligence (AI) Stock to Buy Before It Soars to $10 Trillion, According to a Wall Street Analyst (Hint: Not Apple)
Beth Kindig at the I/O Fund thinks Nvidia could be a $10 trillion company by 2030; that implies 156% upside from its current market value of $3.9 trillion. Nvidia dominates the market for data center graphics processing units, but the company has also carved out a leadership position in generative AI networking platforms. Nvidia stock currently trades at 50 times adjusted earnings, a reasonable valuation for a company whose earnings are forecast to increase at 41% annually through fiscal 2027. 10 stocks we like better than Nvidia › Beth Kindig, lead technology analyst at the I/O Fund, has an impressive track record where chipmaker Nvidia (NASDAQ: NVDA) is concerned. In 2021, she correctly predicted the company would surpass Apple's market value within five years. Nvidia checked that box in three years. Earlier this year, Kindig correctly called it a buying opportunity when Nvidia stock crashed after Chinese startup DeepSeek introduced low-cost large language models. The stock price has increased 28% since she made that recommendation, and it currently trades at a record high. However, Kindig's boldest prediction is that Nvidia will be a $10 trillion company by 2030. That implies 156% upside from its present market value of $3.9 trillion, which equates to annual returns of nearly 19% through the end of the decade for shareholders. Nvidia is best known for developing graphics processing units (GPUs), chips commonly used to accelerate time-consuming data center workloads like training machine learning models and running artificial intelligence (AI) applications. Nvidia dominates the space with more than 90% market share, according to Beth Kindig. Mike Gualtieri at Forrester Research in a recent report commented, "Nvidia sets the pace for AI infrastructure worldwide. Without Nvidia's GPUs, modern AI wouldn't be possible." Importantly, the company also complements its GPUs with CPUs and interconnects, as well as Ethernet and InfiniBand networking platforms. In fact, Nvidia is the market leader in generative AI networking and it recently added Alphabet's Google and Meta Platforms to its growing list of customers. Going forward, Grand View Research estimates the data center GPU market will expand at 36% annually through 2033. And Morningstar expects generative AI networking market will grow at 34% annually through 2028. That gives Nvidia good shot at annual revenue growth exceeding 30% for many years to come. ChatGPT popularized generative AI, which uses large language models to turn prompts into novel media like text, images, and video. That technology created tremendous demand for Nvidia AI infrastructure, and the company is well positioned to maintain its leadership as the physical AI boom unfolds. Physical AI lets autonomous machines understand and navigate the real world, and Nvidia addresses the technology at three layers of the computing stack: Its data center GPUs and networking platforms train AI models, its Omniverse simulation engine generates synthetic training data and tests AI models, and its embedded processors offer on-board computing power to autonomous robots and self-driving cars. Beyond that, Nvidia's CUDA platform includes code libraries, application frameworks, and pretrained models that accelerate the development of robotics and automotive software. That vertical integration makes Nvidia the go-to option for engineers and developers as it eliminates the complexity of integrating products from multiple vendors, which ultimately lowers the total cost of ownership. Indeed, Beth Kindig says Nvidia has a "near-monopoly in building supercomputers" because of the "impenetrable moat" created by its CUDA software platform. She also cites vertical integration -- the fact that the company provides data center components well beyond GPUs -- as a major reason Nvidia can achieve a market value of $10 trillion no later than 2030. Nvidia reported strong first-quarter financial results that exceeded expectations on the top and bottom lines. Revenue rose 69% to $44 billion because of robust demand for AI infrastructure, and non-GAAP net income rose 33% to $0.81 per diluted share. Earnings would have increased more quickly had it not been for new chip export restrictions related to China. Wall Street estimates Nvidia's adjusted earnings will increase at 41% annually through the fiscal year ending in January 2027. That makes the current valuation of 50 times adjusted earnings look reasonable, especially because the company topped the consensus earnings estimate by an average of 5% in the last six quarters. Long-term investors should feel comfortable owning the stock at its current price. Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $687,764!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $980,723!* Now, it's worth noting Stock Advisor's total average return is 1,048% — a market-crushing outperformance compared to 179% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of July 7, 2025 Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool's board of directors. Trevor Jennewine has positions in Nvidia. The Motley Fool has positions in and recommends Alphabet, Apple, Meta Platforms, and Nvidia. The Motley Fool has a disclosure policy. 1 Artificial Intelligence (AI) Stock to Buy Before It Soars to $10 Trillion, According to a Wall Street Analyst (Hint: Not Apple) was originally published by The Motley Fool
Yahoo
10-07-2025
- Business
- Yahoo
1 Artificial Intelligence (AI) Stock to Buy Before It Soars to $10 Trillion, According to a Wall Street Analyst (Hint: Not Apple)
Beth Kindig at the I/O Fund thinks Nvidia could be a $10 trillion company by 2030; that implies 156% upside from its current market value of $3.9 trillion. Nvidia dominates the market for data center graphics processing units, but the company has also carved out a leadership position in generative AI networking platforms. Nvidia stock currently trades at 50 times adjusted earnings, a reasonable valuation for a company whose earnings are forecast to increase at 41% annually through fiscal 2027. 10 stocks we like better than Nvidia › Beth Kindig, lead technology analyst at the I/O Fund, has an impressive track record where chipmaker Nvidia (NASDAQ: NVDA) is concerned. In 2021, she correctly predicted the company would surpass Apple's market value within five years. Nvidia checked that box in three years. Earlier this year, Kindig correctly called it a buying opportunity when Nvidia stock crashed after Chinese startup DeepSeek introduced low-cost large language models. The stock price has increased 28% since she made that recommendation, and it currently trades at a record high. However, Kindig's boldest prediction is that Nvidia will be a $10 trillion company by 2030. That implies 156% upside from its present market value of $3.9 trillion, which equates to annual returns of nearly 19% through the end of the decade for shareholders. Nvidia is best known for developing graphics processing units (GPUs), chips commonly used to accelerate time-consuming data center workloads like training machine learning models and running artificial intelligence (AI) applications. Nvidia dominates the space with more than 90% market share, according to Beth Kindig. Mike Gualtieri at Forrester Research in a recent report commented, "Nvidia sets the pace for AI infrastructure worldwide. Without Nvidia's GPUs, modern AI wouldn't be possible." Importantly, the company also complements its GPUs with CPUs and interconnects, as well as Ethernet and InfiniBand networking platforms. In fact, Nvidia is the market leader in generative AI networking and it recently added Alphabet's Google and Meta Platforms to its growing list of customers. Going forward, Grand View Research estimates the data center GPU market will expand at 36% annually through 2033. And Morningstar expects generative AI networking market will grow at 34% annually through 2028. That gives Nvidia good shot at annual revenue growth exceeding 30% for many years to come. ChatGPT popularized generative AI, which uses large language models to turn prompts into novel media like text, images, and video. That technology created tremendous demand for Nvidia AI infrastructure, and the company is well positioned to maintain its leadership as the physical AI boom unfolds. Physical AI lets autonomous machines understand and navigate the real world, and Nvidia addresses the technology at three layers of the computing stack: Its data center GPUs and networking platforms train AI models, its Omniverse simulation engine generates synthetic training data and tests AI models, and its embedded processors offer on-board computing power to autonomous robots and self-driving cars. Beyond that, Nvidia's CUDA platform includes code libraries, application frameworks, and pretrained models that accelerate the development of robotics and automotive software. That vertical integration makes Nvidia the go-to option for engineers and developers as it eliminates the complexity of integrating products from multiple vendors, which ultimately lowers the total cost of ownership. Indeed, Beth Kindig says Nvidia has a "near-monopoly in building supercomputers" because of the "impenetrable moat" created by its CUDA software platform. She also cites vertical integration -- the fact that the company provides data center components well beyond GPUs -- as a major reason Nvidia can achieve a market value of $10 trillion no later than 2030. Nvidia reported strong first-quarter financial results that exceeded expectations on the top and bottom lines. Revenue rose 69% to $44 billion because of robust demand for AI infrastructure, and non-GAAP net income rose 33% to $0.81 per diluted share. Earnings would have increased more quickly had it not been for new chip export restrictions related to China. Wall Street estimates Nvidia's adjusted earnings will increase at 41% annually through the fiscal year ending in January 2027. That makes the current valuation of 50 times adjusted earnings look reasonable, especially because the company topped the consensus earnings estimate by an average of 5% in the last six quarters. Long-term investors should feel comfortable owning the stock at its current price. Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $687,764!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $980,723!* Now, it's worth noting Stock Advisor's total average return is 1,048% — a market-crushing outperformance compared to 179% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of July 7, 2025 Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool's board of directors. Trevor Jennewine has positions in Nvidia. The Motley Fool has positions in and recommends Alphabet, Apple, Meta Platforms, and Nvidia. The Motley Fool has a disclosure policy. 1 Artificial Intelligence (AI) Stock to Buy Before It Soars to $10 Trillion, According to a Wall Street Analyst (Hint: Not Apple) was originally published by The Motley Fool Sign in to access your portfolio
Globe and Mail
10-07-2025
- Business
- Globe and Mail
1 Artificial Intelligence (AI) Stock to Buy Before It Soars to $10 Trillion, According to a Wall Street Analyst (Hint: Not Apple)
Key Points Beth Kindig at the I/O Fund thinks Nvidia could be a $10 trillion company by 2030; that implies 156% upside from its current market value of $3.9 trillion. Nvidia dominates the market for data center graphics processing units, but the company has also carved out a leadership position in generative AI networking platforms. Nvidia stock currently trades at 50 times adjusted earnings, a reasonable valuation for a company whose earnings are forecast to increase at 41% annually through fiscal 2027. 10 stocks we like better than Nvidia › Beth Kindig, lead technology analyst at the I/O Fund, has an impressive track record where chipmaker Nvidia (NASDAQ: NVDA) is concerned. In 2021, she correctly predicted the company would surpass Apple 's market value within five years. Nvidia checked that box in three years. Earlier this year, Kindig correctly called it a buying opportunity when Nvidia stock crashed after Chinese startup DeepSeek introduced low-cost large language models. The stock price has increased 28% since she made that recommendation, and it currently trades at a record high. However, Kindig's boldest prediction is that Nvidia will be a $10 trillion company by 2030. That implies 156% upside from its present market value of $3.9 trillion, which equates to annual returns of nearly 19% through the end of the decade for shareholders. Nvidia dominates the markets for data center GPUs and AI networking gear Nvidia is best known for developing graphics processing units (GPUs), chips commonly used to accelerate time-consuming data center workloads like training machine learning models and running artificial intelligence (AI) applications. Nvidia dominates the space with more than 90% market share, according to Beth Kindig. Mike Gualtieri at Forrester Research in a recent report commented, "Nvidia sets the pace for AI infrastructure worldwide. Without Nvidia's GPUs, modern AI wouldn't be possible." Importantly, the company also complements its GPUs with CPUs and interconnects, as well as Ethernet and InfiniBand networking platforms. In fact, Nvidia is the market leader in generative AI networking and it recently added Alphabet 's Google and Meta Platforms to its growing list of customers. Going forward, Grand View Research estimates the data center GPU market will expand at 36% annually through 2033. And Morningstar expects generative AI networking market will grow at 34% annually through 2028. That gives Nvidia good shot at annual revenue growth exceeding 30% for many years to come. Nvidia is likely to maintain its leadership as the physical AI revolution unfolds ChatGPT popularized generative AI, which uses large language models to turn prompts into novel media like text, images, and video. That technology created tremendous demand for Nvidia AI infrastructure, and the company is well positioned to maintain its leadership as the physical AI boom unfolds. Physical AI lets autonomous machines understand and navigate the real world, and Nvidia addresses the technology at three layers of the computing stack: Its data center GPUs and networking platforms train AI models, its Omniverse simulation engine generates synthetic training data and tests AI models, and its embedded processors offer on-board computing power to autonomous robots and self-driving cars. Beyond that, Nvidia's CUDA platform includes code libraries, application frameworks, and pretrained models that accelerate the development of robotics and automotive software. That vertical integration makes Nvidia the go-to option for engineers and developers as it eliminates the complexity of integrating products from multiple vendors, which ultimately lowers the total cost of ownership. Indeed, Beth Kindig says Nvidia has a "near-monopoly in building supercomputers" because of the "impenetrable moat" created by its CUDA software platform. She also cites vertical integration -- the fact that the company provides data center components well beyond GPUs -- as a major reason Nvidia can achieve a market value of $10 trillion no later than 2030. Nvidia stock trades at a reasonable valuation compared to forward earnings estimates Nvidia reported strong first-quarter financial results that exceeded expectations on the top and bottom lines. Revenue rose 69% to $44 billion because of robust demand for AI infrastructure, and non-GAAP net income rose 33% to $0.81 per diluted share. Earnings would have increased more quickly had it not been for new chip export restrictions related to China. Wall Street estimates Nvidia's adjusted earnings will increase at 41% annually through the fiscal year ending in January 2027. That makes the current valuation of 50 times adjusted earnings look reasonable, especially because the company topped the consensus earnings estimate by an average of 5% in the last six quarters. Long-term investors should feel comfortable owning the stock at its current price. Should you invest $1,000 in Nvidia right now? Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $687,764!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $980,723!* Now, it's worth noting Stock Advisor 's total average return is1,048% — a market-crushing outperformance compared to179%for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of July 7, 2025 Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool's board of directors. Trevor Jennewine has positions in Nvidia. The Motley Fool has positions in and recommends Alphabet, Apple, Meta Platforms, and Nvidia. The Motley Fool has a disclosure policy.
Bloomberg
07-07-2025
- Business
- Bloomberg
I/O Fund's Kindig Reacts to More China Chip Curbs
Beth Kindig, I/O Fund lead technology analyst, says the potential chip curbs to prevent China from obtaining US semiconductors is a bullish demand signal for Nvidia. She joins Caroline Hyde and Ed Ludlow on "Bloomberg Tech." (Source: Bloomberg)
