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    Home»Stock News»Forecast: This Company Will Claim the Title of the World’s Biggest by the End of 2026 (Spoiler: It’s Not Nvidia)
    Prediction: This Will Be the World's Largest Company By Year-End 2026 (Hint: It's Not Nvidia)
    Stock News

    Forecast: This Company Will Claim the Title of the World’s Biggest by the End of 2026 (Spoiler: It’s Not Nvidia)

    December 4, 20255 Mins Read
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    aistudios

    Key Points

    • Alphabet is the world’s most profitable tech company, but only the third-largest by market cap.

    • It’s also the cheapest megacap tech stock on a trailing P/E basis.

    • The company’s vertically integrated AI stack gives it an advantage that should begin to draw more investor interest in the name.

    Nvidia (NASDAQ: NVDA) is currently the world’s largest company with a market cap nearing $4.4 trillion, followed by Apple (NASDAQ: AAPL) at around $4.2 billion, as of this writing. However, I think Alphabet (NASDAQ: GOOGL) (NASDAQ: GOOG) will take the top spot by the end of 2026.

    Alphabet is currently the world’s third-largest company with a market cap of around $3.9 trillion, just ahead of Microsoft (NASDAQ: MSFT) at $3.6 trillion. They are the only four companies with market caps above $3 trillion.

    Let’s dig into why Alphabet is poised to become the world’s largest company by the end of next year.

    Alphabet is a market leader

    Alphabet is actually already the world’s most profitable tech company. Its trailing 12-month earnings of $124.5 billion and quarterly earnings of $35 billion are both tops among megacap tech names. From a trailing price-to-earnings (P/E) basis, it’s also the cheapest of the group.

    However, stock prices are often about the future, and Alphabet has one of the brightest futures in big tech. What is so exciting about Alphabet is that it’s the company that developed the best artificial intelligence (AI) tech stack. The company has taken a vertically integrated approach, which gives it an advantage that should only grow wider in the future.

    notion

    Alphabet’s big edge is that it has developed both its own top-tier custom AI chips and a world-class foundational large language model (LLM). No other company has a tech stock in these areas that is as far along as Alphabet.

    In addition, it also has a top machine learning software platform in Vertex AI that helps create, train, and deploy custom AI models, usually based on its Gemini model, although it also supports third-party open-source models like Meta Platforms‘ Llama. It’s also a storage and data analytics leader with Colossus and BigQuery, and it even has its own fiber network to reduce latency. Its pending acquisition of cloud security leader Wiz will only add to its full-stack solution.

    The company’s biggest advantage, though, is its custom AI chips, called tensor processing units (TPUs), which entered development more than a decade ago, and they are now in their seventh generation. The chips were optimized for Google Cloud’s TensorFlow framework, and have been battle-tested running Alphabet’s internal workloads. Having its own custom AI ASICs (application-specific integrated circuits) gives Alphabet a huge cost advantage both over rival cloud computing and AI model companies like OpenAI.

    This all helps Alphabet achieve a better return on its capital expenditure (capex) than competitors, who depend on Nvidia’s more expensive graphics processing units (GPUs) to train their LLMs, creating a virtuous cycle. Lower costs and a better ROI (return on investment) lead to better products and solutions, which allow it to invest more into them, continuing to make them better.

    Meanwhile, by developing its own world-class AI model, Alphabet captures a larger portion of the revenue and can integrate it into other products like Google Search. Today, AI-powered features, such as AI Mode and AI Overviews, are helping drive queries and search revenue growth. At the same time, with its massive ad network, few companies are as capable as monetizing search and AI discovery.

    On top of that, Alphabet has other huge advantages. First and foremost is the huge distribution advantage the company has through its ownership of the Chrome browser and Android smartphone operating system, which both have over 70% market share. Throw in its revenue-sharing deal to be the default search engine on Apple devices, and Google is essentially the gateway to the internet for most people. It also has a data advantage, given its decades of search queries and YouTube video uploads.

    The road to becoming the world’s largest company

    Alphabet is already the world’s most profitable tech company, and as more investors start to recognize its position as the AI company to beat, the stock should have strong upside from here. Its valuation is reasonable, and it should be able to outpace its growth expectations next year.

    That should help propel it to become the world’s largest company by next year.

    Should you invest $1,000 in Alphabet right now?

    Before you buy stock in Alphabet, 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 Alphabet 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 $560,649! Or when Nvidia made this list on April 15, 2005… if you invested $1,000 at the time of our recommendation, you’d have $1,100,862!

    Now, it’s worth noting Stock Advisor’s total average return is 999% — a market-crushing outperformance compared to 194% 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 »

    Geoffrey Seiler has positions in Alphabet. The Motley Fool has positions in and recommends Alphabet, Apple, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.

    The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

    aistudios
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