Prediction: 2 Artificial Intelligence (AI) Stocks That Could Be Worth More Than Nvidia by 2030
Despite the fanfare, the artificial intelligence (AI) revolution has just begun. With the AI market valued at $189 billion in 2023, the United Nations believes it will become a $4.8 trillion market by 2033.
Companies like Nvidia have already taken advantage of this growth, soaring to multitrillion-dollar market caps. But the two AI businesses below trade at just fractions of that value. Over time, however, we could see one of these stocks surpass Nvidia's market cap, leading to huge gains for patient shareholders.
Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now. Continue »
Right now, most estimates believe that Nvidia commands somewhere between 70% and 95% of the AI graphics processing unit (GPU) market. GPUs, or graphics processing units, are critical components necessary for training and executing AI models, as well as facilitating many other machine learning tasks. Without GPUs, the AI revolution would not be taking off at nearly the same size or scale. And right now, Nvidia dominates AI-specific GPU sales.
What makes Nvidia's GPUs so special? Two things: early investment and vendor lock-in through its developer suite called CUDA.
Way back in 2006, Nvidia's leadership recognized the importance of programmable infrastructure. That is, they understood that developers would want to customize their chips to optimize for certain parameters, allowing them to process data or run calculations faster and more efficiently than a stock GPU. To address this, Nvidia released Compute Unified Device Architecture (CUDA). This unlocked the power of parallel computing, making its chips more attractive than the competition when it came to performance optimization potential.
Today, many Nvidia customers are using Nvidia products due to CUDA. They've customized their setups from a software perspective around Nvidia's hardware offerings, creating what analysts call "vendor lock-in." This lock-in has granted Nvidia an 80% to 95% market share for AI-related GPUs. It'll be hard to compete with this competitive advantage. But eventually, another chipmaker will break through. And the companies below are my top bets when it comes to both risk and potential upside potential.
The road to toppling Nvidia will be a long one. But over the coming years, I suspect either Intel (NASDAQ: INTC) or Advanced Micro Devices (NASDAQ: AMD) could break through.
AMD is arguably in the best position to potentially match Nvidia's AI dominance over the next five years. The company's latest GPUs have performed well against Nvidia's Blackwell chips on benchmark tests. Plus, Nvidia is having difficulty manufacturing enough chips to meet demand, leading to multi-month delays on shipments, giving AMD an ability to more rapidly meet rising demand despite arguably inferior products with less vendor lock-in.
NVDA PS Ratio data by YCharts
Right now, Intel is far behind AMD in terms of catching up with Nvidia. But its market cap and valuation more than reflect that reality. Intel is valued at just $80 billion versus a $140 billion valuation for AMD. Meanwhile, Intel shares trade at just 1.5 times sales versus a 5.6 times sales valuation for AMD. Betting on Intel reaching Nvidia's valuation by 2030 is clearly a long shot. But the company is investing heavily to improve its chips' competitiveness, as well as its overall manufacturing capacity. And late last year it received a multibillion-dollar contract from Amazon for AI chips and another multibillion-dollar contract from the U.S. military.
Which company am I betting on today to catch up with Nvidia? I'm going with AMD. Its chip performance and manufacturing capabilities heftily outpace Intel's for AI GPUs. And with 52% of revenue coming from data centers versus just 25% for Intel, AMD is clearly much more leveraged to the AI economy than Intel. Nvidia's CUDA architecture will remain a strong barrier to competition for years to come. But both AMD and Intel have such cheap relative valuations that both are worth a small, speculative investment, even if the odds of overtaking Nvidia by 2030 remain slim.
Before you buy stock in Advanced Micro Devices, consider this:
The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Advanced Micro Devices 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 $561,046!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $606,106!*
Now, it's worth noting Stock Advisor's total average return is 811% — a market-crushing outperformance compared to 153% 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 April 21, 2025
Ryan Vanzo has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Intel, and Nvidia. The Motley Fool recommends the following options: short May 2025 $30 calls on Intel. The Motley Fool has a disclosure policy.
Prediction: 2 Artificial Intelligence (AI) Stocks That Could Be Worth More Than Nvidia by 2030 was originally published by The Motley Fool

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Forbes
an hour ago
- Forbes
The Strategy Behind Hugging Face's Acquisition Of Pollen Robotics
Reachy 2 In April 2025, Hugging Face acquired Pollen Robotics, a France-based company that develops humanoid robots, including Reachy 2. This marks a milestone in the convergence of generative AI and robotics, known as physical AI. This article analyzes the strategic reasons behind Hugging Face's acquisition of Pollen Robotics. Hugging Face's acquisition of Pollen Robotics demonstrates a long-term vision for the future of AI technology, as it evolves from digital intelligence to physical form. The strategy is based on three core pillars: 1) Vertical integration of the AI-to-robotics stack 2) Ecosystem leverage through their massive developer community 3) Timing advantage as foundation models become capable of controlling physical systems. The acquisition gives Hugging Face immediate access to Pollen's flagship Reachy 2 humanoid robot, a $70,000 research platform already deployed at prestigious institutions such as Cornell University and Carnegie Mellon. With 7 degrees of freedom, bio-inspired arms capable of handling 3 kg payloads, advanced VR teleoperation and fully open-source hardware designs, the Pollen Robotics Reachy 2 offers a proven platform for Hugging Face to build upon instead of starting from scratch. The timing proves particularly strategic given several converging factors. Nvidia recently chose Hugging Face as the preferred platform for its GR00T N1 humanoid robot foundation models, signalling industry recognition of Hugging Face's platform capabilities. Meanwhile, the remarkable growth of Hugging Face's LeRobot library to over 12,000 GitHub stars in just 12 months demonstrated strong developer demand for open robotics tools. The acquisition also follows Hugging Face's strategic hire of Remi Cadene, a former Tesla Optimus engineer, who now leads their robotics division. While Hugging Face has emerged as the largest collection of open-source and open-weight models, Pollen Robotics focuses on the vision of open hardware for robotics. This acquisition combines the strengths of open-source software with open hardware design in the field of robotics. The embodied AI market has reached an inflection point where theoretical capabilities meet practical applications, driven by breakthroughs in foundation models for robotics and dramatic cost reductions in hardware components. AI models such as Pi0 from Hugging Face, Nvidia's GR00T N1 and Google's Gemini Robotics extend the power of generative AI to robotics. Instead of generating text or media content, these models are trained to send commands directly to the robotic hardware. They leverage multimodal AI by combining video content and policies to generate commands that control robots. The combination of Hugging Face's AI infrastructure and Pollen's robotics expertise creates technical synergies that neither company could achieve independently. Hugging Face brings 1.5 million models and datasets hosted on its platform, proven infrastructure serving 12 petabytes of data, and deep expertise in transformer architectures and diffusion models. This AI foundation provides the intelligence layer essential for next-generation robotics. Hugging Face's acquisition of Pollen Robotics represents more than a product expansion. It marks a fundamental shift in how AI and robotics will evolve together. By combining proven AI infrastructure with capable robotics hardware under an open-source philosophy, Hugging Face creates unique value that neither pure software nor pure hardware companies can replicate. The broader implications extend beyond corporate strategy. If Hugging Face succeeds in democratizing robotics as they've democratized AI, we may see an explosion of innovation similar to what followed the open-sourcing of deep learning frameworks.
Yahoo
2 hours ago
- Yahoo
No more long lines? AI and other new technologies are transforming amusement parks this summer.
Theme park companies are leveraging technology to transform the guest experience. Legoland uses AI to track ride attendance and manage lines. Disney is partnering with Nvidia and Google DeepMind to bring AI-powered robots to its parks. It is a truth universally acknowledged: Lines are the worst part of amusement parks. Sure, too many $8 pretzels can gut your budget, but there's something uniquely taxing about waiting in line for a popular ride on a sticky summer day. There might be a fix, however: artificial intelligence. New technology of all kinds is transforming the theme park experience in the United States, helping drive growth in the industry. Among the theme parks leveraging new technology is Legoland. "We're using a technology called Vision AI," Adrian Thompson, operations transformation director for Legoland's parent company, Merlin Entertainments, told Business Insider. "We have cameras placed over our attractions that analyze the number of people physically riding those attractions at any given time. It doesn't identify you uniquely, but it identifies the number of people riding an attraction." Thompson said incorporating AI into attraction line areas allows ride managers to receive data in real time, mitigating potential issues or delays. "If they see anomalies in that data — the number of dispatches has reduced or the queue times have gone up — they can take action at that moment and make changes," Thompson said. "Before, when it was all paper-based, we didn't have access to all that data in real time. You might not have gotten that information until the end of the day, at which point it's too late to impact the guest experience." About 40 miles north of Legoland is SeaWorld, where Expedition Odyssey opened to the public last month. Expedition Odyssey is an immersive flying theater ride that transports guests to the Arctic using real footage of the icy landscapes and wildlife. "There's no CGI in it," Conner Carr, the vice president of rides and engineering for SeaWorld and Busch Gardens' parent company, United Parks & Resorts, told BI. "The standard on those ride types has always been to generate with animation or CGI effects for a ride film." Instead, SeaWorld sent teams equipped with custom-lensed cameras and drones on expeditions to the Arctic to capture the videos. "For us, it's not just a theme park experience. It's that zoological aspect, too," Carr said. "We don't want to sit in an office and draw a beluga whale. We want to show them a real one." Although the authentic footage helps set Expedition Odyssey apart from its peers, Carr said there's another reason he refers to it as the "most technologically advanced ride" SeaWorld has ever done. A typical flying theater involves guests entering their seats, enjoying the show, and exiting before another group can enter. Expedition Odyssey uses a rotating main tower that allows guests to load the ride while another is already watching the footage. Once the ride is done, the tower will essentially flip, and the groups will switch places. "This lets us keep the line moving and procedures like you would see on a coaster, but on a completely new type of ride that typically doesn't allow that," Carr said. Carr said another way guests interact with new technology at SeaWorld and Busch Gardens theme parks is by including audio and visual aspects in the line. "That's what Penguin Trek does," Carr said, referring to a roller coaster at the Orlando park. "When you dispatch on the ride, you have special effects and lights that make you feel like you're in an ice cave that's falling." That technology is also found at Busch Gardens, where guests can ride the Phoenix Rising roller coaster, which utilizes media screens, lights, and onboard audio. At SeaWorld, Carr said 3D scanning has become a reliable tool for repairs and creating models. "It is not just roller coaster track replacement. We use 3D scanning all over the place," Carr said. "The technology has been amazing for new projects like Penguin Trek and Expedition Odyssey." Augmented reality is another type of technology becoming more prevalent at amusement parks, including Legoland California and Legoland Florida. The Lego Ferrari Build & Race attraction allows guests to build and test cars, then use augmented reality to scan and race them virtually. Hands-on activities are a priority for Legoland theme parks, where the Ninjago ride uses hand-tracking movements that let riders use hand gestures to test their skills. "The beauty for us is we're always going to do hands-on experiences because it's Lego," Thompson said. Carr said SeaWorld and Busch Gardens have a similar approach, given their animal conservation efforts. "The mission is to inspire and educate right alongside rescuing all the animals," he said. Other theme parks in the United States are also flexing their tech acumen, including Disney, which partnered with Nvidia and Google DeepMind to develop Newton. The open-source physics engine will help robots learn to navigate tasks more accurately. Disney intends to use the technology to enhance the robotic characters in its theme parks to be more lifelike. "This collaboration will allow us to create a new generation of robotic characters that are more expressive and engaging than ever before—and connect with our guests in ways that only Disney can," Kyle Laughlin, the senior vice president of Walt Disney Imagineering's Research and Development, said in a press release. Although the attractions industry continues to entice guests from around the globe, the volatility caused by the Trump administration's tariffs has become an unpredictable obstacle. "New tariffs will make securing product — like games, plush, and merchandise made outside the United States — more expensive to import. Ahead of the rate hikes, some operators created additional storage space and took possession of goods earlier in the season than what they have imported in the past to avoid paying the tariffs," the International Association of Amusement Parks and Attractions said this month. The association said the tariffs have also strained the US relationship with Canada, potentially affecting theme park attendance this summer. "Also of concern for several American facilities: a softening in the zest to travel south by Canadians who are accustomed to spending their summers in the United States. The current political climate between the two nations may adversely affect the sentiment to travel in the months ahead," the IAAPA said. However, the uncertainty hasn't stopped companies from steamrolling ahead with ambitious projects. Universal's newest theme park, Epic Universe, opened to fanfare this month in Florida, while Disney announced plans to develop its seventh theme park in Abu Dhabi. Read the original article on Business Insider


Business Upturn
5 hours ago
- Business Upturn
'He Just Greenlit Elon's AI Takeover': Wall Street Icon Says Trump's New Order Quietly Empowers Musk's Rise in the Machine Economy
BALTIMORE, June 01, 2025 (GLOBE NEWSWIRE) — Former hedge fund manager Enrique Abeyta believes the most important AI story in America isn't happening inside a government lab or Silicon Valley headquarters… It's happening inside Tesla. Abeyta explains in his recent briefing, that thanks to a recent executive order from President Trump, Elon Musk now has a green light to deploy it — at national scale. 'Trump just cut the red tape,' says Abeyta. 'And Musk is the one most ready to move.' Trump Signs. Musk Accelerates. Dojo — Tesla's in-house AI training system — is now one of the fastest-developing AI platforms in the world. Built from scratch after Nvidia chip shortages, it's already outperforming commercial processors by a factor of six. Fueled by Tesla's real-time video data — 160 billion frames a day — Dojo doesn't just train AI. It teaches machines how to operate independently in the real world. By June 1st, Tesla will roll out its first robotaxi — with no steering wheel, no pedals, and no driver. The Executive Order That Changed the Game Last month, President Trump signed 'Removing Barriers to American AI Innovation,' a sweeping order to clear federal restrictions on domestic AI development. Within days, companies aligned with Dojo's architecture were reportedly 'expecting to receive billions of dollars from the Trump administration.' Abeyta sees this as the true start of the machine economy — where AI no longer waits for approval, and real-world deployment becomes the new battleground. 'Musk is deploying physical AI faster than anyone,' he says. 'And Trump just gave him the air cover to do it without interference.' Musk Has the Tech. Trump Cleared the Map. What we're witnessing, Abeyta says, isn't a partnership — it's a convergence. Musk built the system. Trump removed the guardrails. And now, for the first time, a private company is building the command layer for how machines see, move, and act in physical space — at scale. About Enrique Abeyta Enrique Abeyta is a former hedge fund manager who spent over two decades tracking capital flows and strategic realignments across markets and government. After managing nearly $4 billion in institutional capital, he now leads Breaking Profits, a research outfit focused on the systems, people, and policies quietly reshaping the future of America's economic landscape. Media Contact:Derek WarrenPublic Relations ManagerParadigm Press Group Email: [email protected]