Nvidia beats on Q1 revenue and earnings, stock climbs on results
CNBC's Kristina Partsinevelos and Patrick Moorhead, Moor Insights CEO & chief analyst, join 'Closing Bell Overtime' with Nvidia results.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
CNBC
27 minutes ago
- CNBC
Palantir CEO Karp says AI is dangerous and 'either we win or China will win'
Palantir CEO Alex Karp said the artificial intelligence arms race between the U.S. and China will culminate in one country coming out on top. "My general bias on AI is it is dangerous," Karp told CNBC's "Squawk on the Street" on Thursday. "There are positive and negative consequences, and either we win or China will win." Karp has been a vocal advocate for U.S AI dominance. He told CNBC in January that the country needs to "run harder, run faster" in an "all-country effort" to develop more advanced AI models. In a recent letter to shareholders, he also touted Palantir's commitment to equipping and enhancing U.S. defense interests. The billionaire tech CEO said Thursday that the U.S. currently has a leg up in the AI race and Palantir is leading the way in making companies more secure and efficient with its tools. "There is no economy in the world with this kind of corporate leadership which is willing to pivot, which understands technologies, which is willing to look at new things, but also has deep domain expertise," he said. "Our allies in the West, in Europe, are going to have to learn from us." Shares of the Denver-based data analytics and AI software firm outperformed in 2024 and have continued their ascent in 2025 as investors bet on their software and work with key government contractors and agencies. The stock is up 74% this year, but investors have to shell out on a higher earnings multiple than its tech peers. "You don't like the price, exit," Karp said on Thursday in response. Karp also asserted that the company is "not surveilling Americans" in response to recent New York Times report that Palantir is helping the Trump administration gather data on Americans.
Yahoo
35 minutes ago
- Yahoo
How GM + Nvidia are changing the face of the automotive industry
General Motors is making significant strides in revolutionizing its manufacturing processes through a new partnership with chipmaker Nvidia. Announced in March, the collaboration aims to harness the power of artificial intelligence to enhance automation, cut costs and improve efficiency across GM's factories. At the heart of this partnership is Nvidia's advanced computing technology, which GM is leveraging to build custom AI systems for its manufacturing operations. The automaker is using Nvidia Omniverse with Cosmos to create digital twins of its assembly lines, allowing for virtual testing and simulation of production processes before physical implementation. This is JP Hampstead, co-host with Craig Fuller of the Bring It Home podcast. Welcome to the 25th edition of our newsletter, where we go deep into one of the largest-scale tech-industrial partnerships in the automotive industry. 'Using digital twins, we simulate a running production line before it's constructed, optimizing our planning process and allowing us to scale faster while saving time and money,' explained JP Clausen, GM's executive VP of global manufacturing and sustainability. 'It also helps our team members identify and solve problems more effectively.'These digital simulations enable GM to test and refine new production processes without disrupting existing vehicle manufacturing, a critical advantage as the company balances production of both traditional combustion engines and electric vehicles. The partnership extends to training robotics platforms for operations such as material handling, transport and precision welding. Through a combination of AI and machine learning, GM has developed systems that can identify potential issues in manufacturing, such as leaks in battery packs, allowing for quick repairs and supporting quality control. The automotive industry, led by companies like GM, remains the largest user of industrial robots in America. According to Brookings Institute data, nearly half of the 233,305 industrial robots in the United States are employed in auto manufacturing. Michigan, home to GM's headquarters, accounts for nearly 28,000 robots — approximately 12% of the nation's total. Detroit, in particular, stands out as the robot capital of America, with more than three times the number of industrial robots compared to other metropolitan areas. By 2015, the Detroit-Warren-Dearborn area had 15,115 industrial robots in place, or 8.5 per 1,000 workers, a significant increase from 5,753 robots in high concentration of automation has contributed to a dramatic shift in GM's workforce composition over decades. In 1979, GM employed 468,000 American hourly workers, representing 76% of its U.S. workforce. By 2021, that number had dropped to just 45,000 American hourly workers, or 46% of the company's domestic workforce. GM's innovation hub, the Global Technical Center in Warren, Michigan, employs approximately 24,000 people with an average annual salary of $120,000. This facility has become central to developing the company's AI-driven manufacturing technologies. Using both robotics and proprietary AI tools, GM has implemented systems to inspect welds and paint coats, identifying irregularities and anomalies that might affect vehicle quality. This technology not only improves product quality but also enhances workplace safety by automating potentially hazardous tasks. 'We're using AI and advanced software to help our team minimize ergonomic stressors, enable workplace safety and enhance quality in our manufacturing plants,' notes Clausen. 'Investing in our current and future workforce with better technology helps ensure that our teams have the skills and tools needed as we continue to evolve our manufacturing footprint to meet customer demand.' GM's automation advancements come at a critical time as the company navigates challenges in electric vehicle production. In October 2023, GM announced delays in the production of electric trucks, including the Chevy Silverado EV and GMC Sierra EV, pushing the start date at its Orion Assembly plant from 2024 to late 2025. The company cited the need to 'align its capital investments with electric vehicle demand and implement vehicle engineering improvements to boost profitability' as reasons for the delay. GM's partnership with Nvidia aims to address these challenges by improving engineering efficiency and manufacturing processes. Engineers collaborate in real time on digital twins of manufacturing robotics using Nvidia's Omniverse. (Photo: Nvidia) Despite production delays, GM maintains ambitious plans, projecting to have more than 1 million units of EV capacity in North America by the end of 2025 and to convert 50% of its North American assembly capacity to EV production by automation raises concerns about job displacement, GM emphasizes that AI is being implemented to enhance, not replace, its workforce. The company describes its approach as 'people-centric,' using AI to help employees avoid ergonomic stressors and improve workplace safety. 'It's not about automating everything or building more vehicles faster — our winning formula is driven by a combination of flexible manufacturing, advanced technology, and a talented workforce,' states Clausen. Nevertheless, GM's transformation from 'automaker to platform innovator' suggests a continuing shift toward higher-skilled, technology-focused employment. In its presentation to investors titled 'From Automaker to Platform Innovator,' GM projected that software and new business ventures would grow from $2 billion to $80 billion by 2030, indicating a future in which salaried professionals may increasingly outnumber traditional manufacturing workers. The Nvidia partnership positions GM to remain competitive in an increasingly technology-driven automotive landscape. Jensen Huang, Nvidia's founder and CEO, emphasized the significance of the collaboration: 'The era of physical AI is here, and together with GM, we're transforming transportation, from vehicles to the factories where they're made.' GM plans to build next-generation vehicles on Nvidia DRIVE AGX, based on the Nvidia Blackwell architecture, delivering up to 1,000 trillion operations per second of high-performance compute. This technology will not only power manufacturing but also enhance future advanced driver-assistance systems and in-cabin safety features. As automotive manufacturing continues to advance, GM's strategic investments in AI and robotics may provide a competitive edge. The company has maintained its position as the U.S. sales leader for three consecutive years through 2024, offering what it describes as 'the broadest portfolio of electric vehicles in the industry,' with plans to expand to a dozen EV models by the end of 2025. 'The era of physical AI is here.' – Jensen Huang, Nvidia CEO (Image: Fortune Business Insights) GlobalFoundries Announces $16B U.S. Investment to Reshore Essential Chip Manufacturing and Accelerate AI Growth GlobalFoundries (NASDAQ: GFS) (GF), working with the Trump administration and with support from leading technology companies aiming to onshore critical components of their supply chain, has announced plans to invest $16 billion to expand its semiconductor manufacturing and advanced packaging capabilities across its facilities in New York and Vermont. GF's investment is a strategic response to the explosive growth in artificial intelligence, which is accelerating demand for next-generation semiconductors designed for power efficiency and high-bandwidth performance across data centers, communications infrastructure and AI-enabled devices. Kraft Heinz confirms $3B investment in US manufacturing Kraft Heinz will spend $3 billion on its U.S. manufacturing facilities, the company confirmed to Food Dive. It's the largest investment in its plants in decades. Pedro Navio, president of Kraft Heinz's North America operations, told Reuters earlier this month that planned investments could add 3,500 employees to the Lunchables producer's workforce. Rolls-Royce to invest $24 million in US manufacturing Rolls-Royce has announced a $24 million U.S. investment that will more than double production of backup power generation systems for data centers and create more than 100 new jobs in the U.S. The investment includes a new 250,000ft2 Logistics Operations Centre adjacent to the existing manufacturing facility in Mankato, Minnesota. It will enable Rolls-Royce to increase production capacity for its mtu Series 4000 generator sets, which are in high demand from the rapidly growing data center industry. The post How GM + Nvidia are changing the face of the automotive industry appeared first on FreightWaves. Fehler beim Abrufen der Daten Melden Sie sich an, um Ihr Portfolio aufzurufen. Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten
Yahoo
42 minutes ago
- Yahoo
Micron Technology: Smart Investment or Risky Bet in 2025?
Micron's stock is still 33% below last summer's all-time highs despite playing an active role in the artificial intelligence (AI) boom. The company's new memory chips will power Nvidia's next-gen AI accelerators in 2026. Long-term investors may find this dip a good entry point, even if the ride stays bumpy. 10 stocks we like better than Micron Technology › Memory chip giant Micron Technology (NASDAQ: MU) is back to its cyclical habits. One might think that the artificial intelligence (AI) boom would send Micron's business results and stock returns skyward these days, but the real AI effect isn't quite that simple. As of June 3, Micron's total return stands 33% below last summer's all-time highs. Is this a wide-open buying window or the start of a multiyear downswing? Here's what I think about Micron in June 2025. Micron isn't the only AI-oriented tech stock to take a drastic haircut over the last year. It's almost scary how tightly Micron's stock performance has matched the total returns of Dell Technologies, ASML Holding, and Applied Materials recently: For the record, AI-centric market darling Nvidia gained 25% over the same period, while the S&P 500 (SNPINDEX: ^GSPC) market index rose by 14%. So the sinking tide didn't capsize every boat, but it did weigh on most AI-focused computing hardware experts not named Nvidia. Micron did play a part in its own downfall, of course. Sales soared in the first half of 2024, but slowed down more recently. Mind you, many businesses would celebrate a 38% year-over-year revenue jump, like the one Micron reported in March, but that's a significant slowdown from 93% two quarters earlier. Micron's profits followed similar trend lines, which explains why investors lost patience with the stock. And of course, the proposed tariffs may undermine Micron's sales and profits. Nobody knows how the bubbling trade tensions will play out yet. But here's the thing: Micron is well equipped to handle a bit of a slowdown. If anything, the company's in-house chip factories should be able to stockpile memory chips until its largest customers are ready to place large orders again. On top of that, Micron offers market-leading technology. Its next generation of power-efficient data center memory will hit the market in 2026, offering a 60% memory bandwidth increase and even lower power consumption than the current top-of-the-line products. These high-bandwidth chips are a part of Nvidia's latest and greatest AI accelerator cards, so Micron benefits in a very direct way from Nvidia's success. So Micron remains a top-notch provider of crucial hardware in the generative AI revolution. A short-term slowdown in the order book is not the end of the line. Meanwhile, Micron's stock is trading at just 9.4 times forward earnings estimates. Analysts expect the company's profits to surge in 2025, and for good reason. Yet the market makers out there have not yet accounted for this upcoming bottom-line explosion in their share price calculations. The AI boom makes a real difference to Micron's business prospects, and sales of those low-power but high-performance data center chips should rise from $1 billion last year to "multibillion dollars" in 2025. This surge should also be good for Micron's profit margins, since I'm talking about high-end chips with lucrative unit prices. The speed bump simply gives long-term investors another chance to buy Micron shares on the cheap. The long-term returns won't be smooth, but Micron tends to build wealth over its sweeping business cycles. I highly recommend holding a few Micron shares for the long haul. Before you buy stock in Micron Technology, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Micron Technology 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 $668,538!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $869,841!* Now, it's worth noting Stock Advisor's total average return is 789% — a market-crushing outperformance compared to 172% 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 June 2, 2025 Anders Bylund has positions in Micron Technology and Nvidia. The Motley Fool has positions in and recommends ASML, Applied Materials, and Nvidia. The Motley Fool has a disclosure policy. Micron Technology: Smart Investment or Risky Bet in 2025? was originally published by The Motley Fool
