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Prediction: 2 Incredible Artificial Intelligence (AI) Stocks That Will Be Worth More Than Nvidia in 3 Years

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The potential for both of these tech giants still looks underappreciated by the market.

Nvidia (NVDA 1.28%) has soared to the top of the list of most valuable companies in the world thanks to its best-in-class graphics processing units (GPUs). Nvidia’s chips are essential for training large language models and using them in applications. As big tech companies race to build better and better AI capabilities, they’ve been buying up Nvidia’s chips as fast as the company can provide them.

As Nvidia approaches a $4 trillion market capitalization, few other companies are even close to that value. Microsoft is the only other company with a value above $3.5 trillion. But I expect that two other companies will surpass Nvidia’s valuation within three years, even though they’re currently worth between 50% and 60% of Nvidia’s market value.

Image source: Nvidia.

Can Nvidia break $4 trillion?

As I write this, Nvidia is within 4% of the $4 trillion milestone. Not only would that make it the first company to surpass that value, it would also come after extremely fast growth. The company was worth less than $1 trillion just a couple of years ago. A company that large growing that fast is an incredible refutation of the law of large numbers.

Two factors have been driving Nvidia’s strong stock performance. First, its revenue growth has continued to impress. Total revenue climbed 69% in the first quarter to $44.1 billion. On top of that, it’s produced an extremely high gross margin each quarter as demand continues to outstrip its supply for new chip designs. Adjusted gross margin in the first quarter was 71.3%. The combination has led to incredible earnings growth for the business.

While Nvidia has managed to stay ahead of competing chipmakers in the GPU space, its biggest competitors are showing signs of catching up in performance. On top of that, a huge chunk of its business is concentrated in just a handful of big customers. And those customers are actively working to move more of their AI workloads onto custom chip designs made by other chipmakers in order to improve cost performance. Those customers are also incentivized to explore alternatives to Nvidia in order to prevent the chipmaker from price gouging them.

While Nvidia should continue to take the bulk of the share in AI chip sales, its stock is priced as if the above threats didn’t exist. That makes it a risky investment right now, and it’s not unreasonable to expect slower growth in the stock over the next three years.

That gives an opportunity for two undervalued tech giants to surpass the chipmaker in market cap. These two look like they could grow well beyond Nvidia over the next three years.

1. Amazon

Amazon (AMZN 1.62%) operates the second-largest retail business in the world and the largest cloud computing platform in the world.

Like Nvidia, Amazon has seen its business benefit from the growing spending on artificial intelligence (AI). Despite its slow start in the generative AI space, Amazon Web Services (AWS) has managed to maintain its leading position and offer compelling AI services to developers. During its first-quarter earnings call, CEO Andy Jassy said its AI business is generating multiple billions of revenue for AWS and growing at triple-digit percentage rate.

That strong growth has helped expand the operating margin for AWS, which climbed to 39.5% in the first quarter. At the same time, management says demand for its servers exceeds its supply, so it’s spending heavily to expand its capacity. Total capital expenditures will total over $100 billion this year, management says. Most of that will go toward building and outfitting new data centers.

Amazon’s massive cash outlay for its growing cloud computing business is supported by the recent strength of its retail operations. In particular the company has pushed its operating margin significantly higher over the last couple of years, thanks, in part, to a reorganization of its U.S. logistics. It’s now able to ship more items to customers with faster speeds, which has also helped keep its shipping expenses low as a percentage of sales. Additionally, Amazon has seen strong growth in its high-margin advertising sales. Overall, its North American retail operating margin has expanded to 6.6% of the last 12 months and its international segment turned positive last year.

There are a couple of reasons Amazon should see its value increase substantially over the next three years. First, the strong results of its cloud and retail operations should continue for the foreseeable future. As the leading cloud provider, it’s still in pole position to attract enterprises looking to utilize AI in their operations.

Second, the company should see strong free-cash-flow growth over the next three years, as it sees growing spending on AWS with smaller steps up in capital expenditures. That could push the company toward $100 billion in free cash flow in short order. If the stock offers a 2.5% free-cash-flow yield, which is below its historical average, that would make it a $4 trillion company.

2. Meta Platforms

Meta Platforms (META 0.73%) is the largest social media company in the world with over 3.4 billion unique users across its family of apps. It’s also a leading developer of virtual and augmented reality technology.

Meta has been spending heavily on developing artificial intelligence for years, recently stepping up its investments as generative AI shows the promise to completely transform its business. Not only is Meta planning about $70 billion of capital expenditures this year to build out data centers, it’s also been on a hiring spree recently. That includes a $14.3 billion investment in Scale AI, which led the company’s CEO to migrate to Meta and head up its new AI super intelligence lab.

The company is working to catch up with leading models after its Llama 4 model disappointed developers. But with the speed of change in the industry, Meta has the capability of doing just that.

The impact of AI on Meta’s operations over the last couple of years is already notable. The company’s ad revenue climbed 16% in the first quarter on the back of both higher engagement and higher ad prices. But both could get a boost from further advances in AI.

Meta is now working on an AI agent that can develop, test, and optimize ad campaigns for marketers. This could increase existing marketers’ willingness to spend on ads while bringing in new advertisers to the Meta ads ecosystem. And if AI is better at tailoring ads to individuals than humans, it could result in higher conversions, further supporting higher ad spending on Meta’s platform.

That capability also speaks to Meta’s ability to develop AI-generated content unique for each of its users to boost overall engagement on its platform and increase advertising opportunities. Meta’s already experimenting with limited AI-generated content in its feeds.

This should support strong revenue growth for Meta over the next few years, even as it spends heavily on both generative AI and its Reality Labs segment. And if AI can push more consumers to buy wearables like Meta’s AI glasses or Oculus headsets, that could further support strong margin expansion for the business.

The stock currently trades for 29 times forward earnings expectations. But I predict Meta will outperform existing expectations over the next three years and the stock will climb rapidly as a result. Even if it maintains its current earnings multiple, average earnings growth of just 14.5% over the next three years — in line with analysts expectations — should push the stock more than 50% higher from here, approaching $3 trillion. And there’s a lot of upside from here.

John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, 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. Adam Levy has positions in Amazon and Meta Platforms. The Motley Fool has positions in and recommends Amazon, Meta Platforms, and Nvidia. The Motley Fool has a disclosure policy.



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The Greatest First Basemen of All Time According to Artificial Intelligence

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In the intricate dance of Major League Baseball, the first baseman stands as a unique blend of offensive powerhouse and defensive anchor. They are the receivers of throws, the stretchers for outs, and often, the most prolific sluggers in the lineup. But who among these giants of the diamond truly represents the pinnacle of the position? Leveraging vast datasets of offensive metrics, defensive prowess, awards, and historical impact, Artificial Intelligence has meticulously analyzed the MLB careers of baseball’s greatest first basemen. The result is a definitive ranking of the top, based on an impartial assessment of their unparalleled contributions to the game.



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I asked ChatGPT to help me pack for my vacation – try this awesome AI prompt that makes planning your travel checklist stress-free

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It’s that time of year again, when those of us in the northern hemisphere pack our sunscreen and get ready to venture to hotter climates in search of some much-needed Vitamin D.

Every year, I book a vacation, and every year I get stressed as the big day gets closer, usually forgetting to pack something essential, like a charger for my Nintendo Switch 2, or dare I say it, my passport.



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Denodo Announces Plans to Further Support AI Innovation by Releasing Denodo DeepQuery, a Deep Research Capability — TradingView News

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PALO ALTO, Calif., July 07, 2025 (GLOBE NEWSWIRE) — Denodo, a leader in data management, announced the availability of the Denodo DeepQuery capability, now as a private preview, and generally available soon, enabling generative AI (GenAI) to go beyond retrieving facts to investigating, synthesizing, and explaining its reasoning. Denodo also announced the availability of Model Context Protocol (MCP) support as part of the Denodo AI SDK.

Built to address complex, open-ended business questions, DeepQuery will leverage live access to a wide spectrum of governed enterprise data across systems, departments, and formats. Unlike traditional GenAI solutions, which rephrase existing content, DeepQuery, a deep research capability, will analyze complex, open questions and search across multiple systems and sources to deliver well-structured, explainable answers rooted in real-time information. To help users operate this new capability to better understand complex current events and situations, DeepQuery will also leverage external data sources to extend and enrich enterprise data with publicly available data, external applications, and data from trading partners.

DeepQuery, beyond what’s possible using traditional generative AI (GenAI) chat or retrieval augmented generation (RAG), will enable users to ask complex, cross-functional questions that would typically take analysts days to answer—questions like, “Why did fund outflows spike last quarter?” or “What’s driving changes in customer retention across regions?” Rather than piecing together reports and data exports, DeepQuery will connect to live, governed data across different systems, apply expert-level reasoning, and deliver answers in minutes.

Slated to be packaged with the Denodo AI SDK, which streamlines AI application development with pre-built APIs, DeepQuery is being developed as a fully extensible component of the Denodo Platform, enabling developers and AI teams to build, experiment with, and integrate deep research capabilities into their own agents, copilots, or domain-specific applications.

“With DeepQuery, Denodo is demonstrating forward-thinking in advancing the capabilities of AI,” said Stewart Bond, Research VP, Data Intelligence and Integration Software at IDC. “DeepQuery, driven by deep research advances, will deliver more accurate AI responses that will also be fully explainable.”

Large language models (LLMs), business intelligence tools, and other applications are beginning to offer deep research capabilities based on public Web data; pre-indexed, data-lakehouse-specific data; or document-based retrieval, but only Denodo is developing deep research capabilities, in the form of DeepQuery, that are grounded in enterprise data across all systems, data that is delivered in real-time, structured, and governed. These capabilities are enabled by the Denodo Platform’s logical approach to data management, supported by a strong data virtualization foundation.

Denodo DeepQuery is currently available in a private preview mode. Denodo is inviting select organizations to join its AI Accelerator Program, which offers early access to DeepQuery capabilities, as well as the opportunity to collaborate with our product team to shape the future of enterprise GenAI.

“As a Denodo partner, we’re always looking for ways to provide our clients with a competitive edge,” said Nagaraj Sastry, Senior Vice President, Data and Analytics at Encora. “Denodo DeepQuery gives us exactly that. Its ability to leverage real-time, governed enterprise data for deep, contextualized insights sets it apart. This means we can help our customers move beyond general AI queries to truly intelligent analysis, empowering them to make faster, more informed decisions and accelerating their AI journey.”

Denodo also announced support of Model Context Protocol (MCP), and an MCP Server implementation is now included in the latest version of the Denodo AI SDK. As a result, all AI agents and apps based on the Denodo AI SDK can be integrated with any MCP-compliant client, providing customers with a trusted data foundation for their agentic AI ecosystems based on open standards.

“AI’s true potential in the enterprise lies not just in generating responses, but in understanding the full context behind them,” said Angel Viña, CEO and Founder of Denodo. “With DeepQuery, we’re unlocking that potential by combining generative AI with real-time, governed access to the entire corporate data ecosystem, no matter where that data resides. Unlike siloed solutions tied to a single store, DeepQuery leverages enriched, unified semantics across distributed sources, allowing AI to reason, explain, and act on data with unprecedented depth and accuracy.”

Additional Information

  • Denodo Platform: What’s New
  • Blog Post: Smarter AI Starts Here: Why DeepQuery Is the Next Step in GenAI Maturity
  • Demo: Watch a short video of this capability in action.

About Denodo

Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data into trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo’s customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone. For more information, visit denodo.com.

Media Contacts

pr@denodo.com



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