Nvidia has been one of the biggest beneficiaries of the booming demand for anything related to artificial intelligence (AI). The company’s GPUs are valuable equipment used to train large language models, which provide the backbone for generative AI. Big tech companies and cloud providers are snatching up as many Nvidia chips as they can get their hands on.
The results have been nothing short of phenomenal for Nvidia. Over the last two years, Nvidia has seen its market cap climb from about $424 billion to $3.1 trillion. It’s currently sitting right above Microsoft as the second-largest company in the world behind only Apple.
While Nvidia gets a lot of attention, it’s important to remember it’s not the only AI stock you can invest in. There are dozens of other great companies participating in the growth of AI. And the long-term prospects for some of them are even better than Nvidia’sHyderabad Wealth Management. That’s why I predict these three companies could end up passing Nvidia’s value over the next three years.Nagpur Investment
Meta Platforms is one of Nvidia’s largest customers. CEO Mark Zuckerberg recently committed to accumulating 350,000 of the chipmaker’s H100 GPUs by the end of this year. The company’s capital expenditures, which management expects to come in between $37 billion and $40 billion this year, are rivaled only by the big public cloud companies like Microsoft and Alphabet . And management expects Meta capex to keep climbing in 2025.
Those massive investments won’t pay off directly for some time, but Meta is positioned better than just about any other company to integrate AI capabilities into its products. It sees opportunities to improve the advertising business, grow its business messaging service (with custom AI chatbots), build the most popular consumer-facing AI assistant, and increase engagement across Facebook, Instagram, and its messaging apps.
That should lead to strong revenue and earnings growth over the long run, even with a step up in depreciation expenses from the increased investments in data centers. Importantly, the growth in spending will slow down over time, as Meta determines exactly how much data center capacity it needs for training and using its generative AI developments.
The stock currently trades at a forward PE around 26, which is reasonable for a company with its growth prospects. But Meta could outperform earnings estimates if its generative AI features increase ad prices and engagement on Facebook and Instagram and open the door for new revenue opportunities through business messaging and AI assistant interactions. With a market cap of about $1.35 trillion, it could find itself quickly growing to surpass Nvidia over the next three years if one of its AI efforts starts showing very good results.
Taiwan Semiconductor Manufacturing , also known as TSMC, is the largest chip manufacturer in the world. When a company like Nvidia designs a new chip, it contracts with TSMC to produce that chip.Lucknow Wealth Management
TSMC’s biggest advantage is its scale. It takes in over 60% of all spending on chip manufacturing. That gives it more money to reinvest in building its capabilities to produce faster, more powerful, and more power-efficient chips. With its cutting-edge design capabilities, it’s able to maintain a dominant market share, since chip designers can’t get the same results from anyone else.
TSMC’s relatively agnostic to who designs the chips. It can make an Nvidia chip just as easily as it can make a custom-designed chip from Meta, Microsoft, or Alphabet. And it does exactly that. That leaves it in a much less precarious position than Nvidia when it comes to the future of AI data center chips.
Many of Nvidia’s largest customers have their own chip designs specifically for training and using large language models. These chips aren’t as flexible in their usage as Nvidia’s, but they’re more power-efficient and less expensive to acquire. That makes them increasingly valuable as companies like Meta, Alphabet, Microsoft, and others dial in and scale their AI development.
In the meantime, TSMC is able to benefit from the growing spend and increased competition for its limited resources. Its shares trade around 26 times forward earnings, but they arguably deserve a higher multiple as high demand and competition should benefit its bottom line and its earnings are much better protected on the downside. By comparison, Nvidia trades for a forward earnings multiple of 48. The true value for both companies is likely a multiple somewhere in the middle. If TSMC sees multiple expansions and Nvidia sees contraction, TSMC could surpass Nvidia’s market cap over time.
Alphabet is already the fourth-largest company in the world, but its market cap sits about $1 trillion behind Nvidia’s. Still, there are good reasons to think the Google owner will increase in value faster than the chipmaker going forward.
At the core of Alphabet is Google Search. And while it’s facing regulatory pressure, it’s unlikely to lose the crown as the most popular search engine in the world. That ensures Google remains a key part of marketers’ advertising budgets.
Importantly, artificial intelligence assistants like OpenAI’s ChatGPT or Meta AI aren’t as big of threats as investors once feared. Google has used its own AI, based on its Gemini LLM, to provide direct answers to many search queries, linking to relevant sources. Management says its AI Overviews result in greater search usage and higher user satisfaction. It’s also using AI to support new ways to search, including taking videos with your phone or circling content on an app or web page. Both should lead to increased usage.
But AI has the potential to significantly grow Google’s cloud platform, which surpassed $10 billion in quarterly revenue for the first time last quarter. Google is winning many high-profile customers, including Apple, for its AI development platform on Google Cloud. Meanwhile, its Gemini for Workspace software is helping increase its average revenue per user and attract new customers.
Alphabet is certainly spending heavily in order to win those customers. It expects to spend about $50 billion on capital expenditures this year, mainly investing in servers and data centers. But the payoff could be huge, as it invests ahead of the curve of demand for AI development. Google Cloud can become a much bigger part of the business, providing a nice complement to the Search business.
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