NVIDIA Corporation provides graphics and compute and networking solutions in the United States, Taiwan, China, Hong Kong, and internationally. The Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU or vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building and operating metaverse and 3D internet applications. The Compute & Networking segment comprises Data Center computing platforms and end-to-end networking platforms, including Quantum for InfiniBand and Spectrum for Ethernet; NVIDIA DRIVE automated-driving platform and automotive development agreements; Jetson robotics and other embedded platforms; NVIDIA AI Enterprise and other software; and DGX Cloud software and services. The company's products are used in gaming, professional visualization, data center, and automotive markets. It sells its products to original equipment manufacturers, original device manufacturers, system integrators and distributors, independent software vendors, cloud service providers, consumer internet companies, add-in board manufacturers, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.

NVIDIA остаётся фундаментально очень сильной компанией, но рынок уже закладывает в цену крайне высокий уровень ожиданий. Выручка за TTM выросла до 68.1 млрд, а чистая прибыль — до 42.96 млрд, что подтверждает масштаб и качество роста бизнеса. Маржа впечатляет: gross margin 71.1%, operating margin 60.4% и net margin 55.6% — это существенно выше отрасли и говорит о сильной ценовой власти. ROE 104.4%, ROA 75.8% и ROI 97.6% выглядят исключительными, а их сохранение на высоком уровне по годам показывает, что эффективность не разовая. Баланс также выглядит устойчиво: cash on hand 60.6 млрд, current ratio 3.9 и quick ratio 3.24 указывают на очень комфортную ликвидность. Debt/equity 0.05 и long-term debt 7.47 млрд — низкая долговая нагрузка, что снижает финансовые риски. При этом мультипликаторы остаются крайне дорогими: P/S 23.25, P/B 36.22 и P/FCF 60.83 значительно выше медианы отрасли, а это ограничивает потенциал дальнейшего переоценивания. P/E 39 уже не выглядит экстремальным для такого качества, но всё равно выше среднего и требует продолжения сверхвысоких темпов роста. Динамика мультипликаторов в последние периоды в целом снизилась с более высоких уровней, что частично улучшает картину оценки, однако абсолютная дороговизна сохраняется. Дивидендная доходность 0.11% практически не влияет на инвестиционный кейс и не компенсирует высокую оценку. В сумме фундаментал оправдывает премию к рынку, но не настолько большую, чтобы агрессивно повышать целевую цену. Для инвестора это история сильнейшего качества с очень высокой рентабельностью и ликвидностью, но с заметным риском, что ожидания по росту уже слишком оптимистичны.

NVIDIA Corporation

Сильный индекс, значительно упал. Быки в растерянности.

Strong index, significantly down. The bulls are confused.

Средний индекс, значительно упал. Медведи продолжают терять уверенность.

Medium index, significantly down. Bears continue to lose confidence.

Сильный индекс, незначительно вырос. Рынок не поддерживает быков.

Strong index, slightly up. The market does not support the bulls.

Средний индекс, значительно упал. Рынок на стороне медведей.

Medium index, significantly down. The market is on the bears' side.

Слабый индекс, незначительно упал

Слабый индекс, незначительно вырос. Отток средств из шортов остается значительным.

Weak index, slightly up. The outflow of funds from shorts remains significant.

Фундаментал NVDA очень сильный, но оценка остаётся дорогой: высокая рентабельность и ликвидность поддерживают премию, однако мультипликаторы ограничивают потенциал роста.

Key Points
TSMC will continue to benefit no matter who is in the AI lead.
Alphabet's Gemini is already a fierce AI competitor.
Nvidia still dominates AI processors, and more growth opportunities could be around the corner.
Artificial intelligence (AI) stocks have been volatile this year, with some companies posting big gains, followed by a recent sell-off in many semiconductor stocks.
But three companies that are still outperforming the S&P 500 year to date are Taiwan Semiconductor Manufacturing (NYSE: TSM), Alphabet (NASDAQ: GOOGL) (NASDAQ: GOOG), and Nvidia (NASDAQ: NVDA).
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
And there are some good reasons to believe that these three AI stocks could remain solid long-term winners. Here's why.
TSMC wins no matter who leads the AI race
Taiwan Semiconductor Manufacturing, widely known as TSMC, is the world's leading semiconductor manufacturer, making about 70% of all processors and nearly 90% of all advanced processors. Essentially, if a large tech company needs AI processors made, it's going to hire TSMC.
That's been a huge boon to the company's chip manufacturing business over the past few years (sales rose 32% in 2025 to $121 billion), and there could be more growth on the way as tech giants boost demand for AI processors. The company estimates that by 2030, the global chip market will be worth $1.5 trillion, with AI processors leading the demand.
One of the unique angles TSMC has in AI is that it benefits from all of the AI processor demand, regardless of who is leading the race. Whether OpenAI, Anthropic, Meta Platforms, Alphabet, or some new AI start-up buys up piles of AI processors, they'll likely be placing their orders through TSMC.
Alphabet's AI ubiquity is already hard to ignore
Alphabet is taking a leading role in AI through its fast-growing Gemini AI model. The company has grown its user base by more than double over the past year to more than 900 million users.
While Gemini may not be as popular as OpenAI's ChatGPT and Anthropic's Claude, I don't think Alphabet has to have the dominant model to benefit from AI. Consider that Alphabet already attributed the 63% growth in Google Cloud sales (reaching $20 billion) in the first quarter to its expanding AI services.
What's more, Gemini is now implemented across many of Alphabet's services, including YouTube, advertising, Search, Google Workspace, and more. With such a massive reach among its large user base, Alphabet can play the long game with AI and slowly raise prices or introduce new tiers with more AI features to boost revenue.
And investors are already seeing Gemini directly make money for Alphabet. Apple is using Gemini as a core part of its AI model for the new version of Siri and will pay Alphabet a reported $1 billion annually to use it.
Nvidia will likely remain king of AI processors for years
After years of being at the top of many AI investors' buy lists, it may seem odd to continue beating the buy Nvidia drum. But even amid rising competition, Nvidia remains the leading AI processor company. Nvidia has about 86% of the AI data center revenue market share, leaving rival AMD with just 7%.
And Nvidia's sales and earnings continue to impress. Revenue rose 85% in the most recent quarter to nearly $82 billion, and diluted non-GAAP (generally accepted accounting principles) earnings popped 140% to $1.87 per share.
Nvidia's shares are also relatively inexpensive compared to many other AI stocks. Nvidia stock has a price-to-earnings (P/E) ratio of about 30 right now, compared to 150 for AMD and 62 for Broadcom.
What's more, I think there could be higher demand for Nvidia's processors in the near future as robotics and autonomy industries take off. Nvidia believes there could be millions of humanoid robots in the coming decades that will need high-end processors, and RBC analyst Toom Narayan believes the robotics industry could be worth $9 trillion by 2050.
When you add it all up, Nvidia still looks like a great long-term AI play.
Should you buy stock in Taiwan Semiconductor Manufacturing right now?
Before you buy stock in Taiwan Semiconductor Manufacturing, 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 Taiwan Semiconductor Manufacturing 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 $433,268!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,259,391!*
Now, it’s worth noting Stock Advisor’s total average return is 935% — a market-crushing outperformance compared to 207% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
*Stock Advisor returns as of June 14, 2026.
Chris Neiger has positions in Apple. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Apple, Broadcom, Meta Platforms, Nvidia, and Taiwan Semiconductor Manufacturing. 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.

3 AI Stocks Poised for Long-Term Gains Despite Strong Year-to-Date Performance

Key Points
Google and Anthropic are renting compute capacity from SpaceX.
The Google deal is worth $920 million a month.
Behind the scenes, Nvidia is positioned to book some big wins from SpaceX's ambitions.
In the weeks ahead of its June 12 initial public offering, SpaceX racked up a couple of big deals to rent out parts of its data center capacity; one with artificial intelligence (AI) start-up Anthropic and one with Alphabet-owned Google. Both agreements will help SpaceX offset its AI infrastructure costs with recurring revenue streams.
In the background, however, these deals highlighted the AI industry dominance of another company: Nvidia (NASDAQ: NVDA).
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
Nvidia's dominance on display
On May 6, AI start-up Anthropic agreed to rent compute capacity from SpaceX for more than $1.2 billion per month. The deal is set to run through May 2029, though each party is able to cancel the contract at any point with 90 days' notice, according to SpaceX's S-1 filing.
Then, on June 5, a regulatory filing showed SpaceX had inked a deal with Google. After an initial ramp-up period, that agreement will be worth $920 million per month and will run from October 2026 through June 2029. Starting in 2027, either company can end the contract with 90 days' notice.
For Anthropic's deal, it will lease the full capacity of SpaceX's Colossus data center, which features over 220,000 Nvidia graphics processing units (GPUs). Google's deal will give it access to around 110,000 Nvidia GPUs in SpaceX's data centers. So even as megacap tech companies like Alphabet are designing and deploying their own AI chips in a bid to become more self-reliant, this deal highlights that most AI roads still run through Nvidia.
Beyond ground-based data centers
Part of SpaceX's long-term plan is to launch a host of satellites housing data center servers into orbit, where they can avoid some of the constraints currently faced by terrestrial data centers. Nvidia is also a part of that plan.
"Specifically, we believe SpaceX's reusable rockets, scaled satellite manufacturing, and operational expertise can enable the cost-effective and rapid deployment of massive AI compute satellite constellations -- with potentially millions of satellites -- for orbital data centers," SpaceX said in its S-1 filing.
The first version of those future satellites, the AI1, is being designed to use Nvidia chips.That's not surprising, as in March, Nvidia unveiled the Space-1 Vera Rubin Module, an architecture designed to run large-scale AI models that is suitable to be deployed in space.
SpaceX is designing its own chips and plans to build a massive foundry in collaboration with Tesla and Intel, so it may eventually have less of a need to work with Nvidia. But in the meantime, whether on the ground or in space, Nvidia will be a beneficiary of SpaceX's ambitions.
Should you buy stock in Nvidia right now?
Before you buy stock in Nvidia, 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 Nvidia 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 $433,268!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,259,391!*
Now, it’s worth noting Stock Advisor’s total average return is 935% — a market-crushing outperformance compared to 207% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
*Stock Advisor returns as of June 14, 2026.
Jack Delaney has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Intel, Nvidia, and Tesla. 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.

Google Is Paying $920 Million Per Month to SpaceX. Here's Why Nvidia Is the Quiet Winner Nobody's Talking About.

Arista Networks (NYSE: ANET), Micron (NASDAQ: MU), Broadcom (NASDAQ: AVGO), Eaton (NYSE: ETN), and Applied Digital (NASDAQ: APLD) give investors different ways to think about the AI build-out beyond Nvidia (NASDAQ: NVDA). The upside thesis is simple: as AI demand grows, the world may need more networking, memory, power, custom chips, and data center capacity than many investors realize.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
*Stock prices used were the market prices of June 13, 2026. The video was published on June 13, 2026.
Should you buy stock in Arista Networks right now?
Before you buy stock in Arista Networks, 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 Arista Networks 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 $433,268!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,259,391!*
Now, it’s worth noting Stock Advisor’s total average return is 935% — a market-crushing outperformance compared to 207% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
*Stock Advisor returns as of June 14, 2026.
Rick Orford has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Arista Networks, Broadcom, Eaton Plc, Micron Technology, and Nvidia. The Motley Fool has a disclosure policy. Rick Orford is an affiliate of The Motley Fool and may be compensated for promoting its services. If you choose to subscribe through their link, they will earn some extra money that supports their channel. Their opinions remain their own and are unaffected by The Motley Fool.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

5 AI Infrastructure Stocks You'll Wish You Bought Sooner

Key Points
Nvidia has been the biggest artificial intelligence (AI) infrastructure winner and continues to be well positioned.
AMD is riding two powerful trends in inference and agentic AI.
Micron continues to benefit from surging memory needs stemming from AI infrastructure.
Spending on artificial intelligence (AI) infrastructure is booming, with related capital expenditure (capex) expected to surpass $700 billion this year. While that is a staggering amount, Goldman Sachs said it doesn't see spending slowing next year, projecting it could reach between $920 billion and $1.4 trillion.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
At $1.25 trillion, that would be about 3% of gross domestic product (GDP), which would still be below some past technology booms, including the U.S. and U.K. railroad build-outs in the late 1800s.
Let's look at three AI stocks to own as infrastructure capex continues to soar.
1. Nvidia
Nvidia (NASDAQ: NVDA) has been the biggest beneficiary of early AI infrastructure spending, and it remains well-positioned to be one of the biggest winners. The stock is also attractively valued, trading at a forward P/E of just 16 times fiscal 2028 (ending January 2028) analyst estimates.
The company has been seeing extraordinary revenue growth, including 85% last quarter, as its graphics processing units (GPUs) remain the primary chip used to train AI models. It still has a wide moat in this area, as most early foundational AI code was written on its CUDA software platform.
Nvidia is also looking to be an important player in inference and agentic AI. Its "acquisition" of Groq gave it language processing units (LPUs), which are ideal for the decode phase of inference, while it has also introduced ARM-based CPUs, which can play a pivotal role in agentic AI.
Overall, Nvidia is set to remain one of the biggest winners from this AI infrastructure spending.
2. AMD
While Advanced Micro Devices (NASDAQ: AMD) lost to Nvidia in AI model training, AMD is much better positioned for the emerging trends of inference and agentic AI. Inference is much less technical than AI model training, and AMD's ROCm software has improved significantly over the past few years, loosening CUDA's stranglehold in this area.
The company's chiplet GPU design can also pack in more memory, which is important because inference constraints are generally memory-related rather than compute power. AMD already has two $100 billion GPU commitments related to inference, which should be a huge growth driver for the company in the coming year.
In addition to its opportunity in inference, AMD is also a leader in data center CPUs. This market is set to see explosive growth with the rise of agentic AI, which needs more CPUs to help manage the sequential reasoning required to power AI agents. As a result, the GPU-to-CPU ratio is expected to shift from 8:1 for training to 1:1 with agentic AI, with AMD predicting this could be a $120 billion market in a few years.
With the company riding two of the biggest trends in AI infrastructure, it looks like a big winner from this increasing spending.
3. Micron
The memory market is booming, especially DRAM (dynamic random access memory), as GPUs and other AI chips need to be packaged with a special type of DRAM called high-bandwidth memory (HBM) to achieve optimal performance. The shift toward inference, which tends to be more memory-bound than compute-bound, only escalates the need for more memory.
As one of the big three DRAM makers, along with Korean companies SK Hynix and Samsung, Micron (NASDAQ: MU) has been riding higher DRAM prices to record revenue, gross margins, and profits.
The entire DRAM market remains undersupplied, and with data center capex expected to continue surging, that dynamic is unlikely to change anytime soon, even as new capacity comes on.
Micron stock is inexpensive, trading at a forward P/E of 9 times fiscal 2027 (ending July 2027) estimates, and with the company starting to sign some longer-term contracts, it should help lessen some of the cyclicality in its business. That makes it a nice stock to own as AI capex continues to soar.
Should you buy stock in Nvidia right now?
Before you buy stock in Nvidia, 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 Nvidia 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 $433,268!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,259,391!*
Now, it’s worth noting Stock Advisor’s total average return is 935% — a market-crushing outperformance compared to 207% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
*Stock Advisor returns as of June 14, 2026.
Geoffrey Seiler has positions in Advanced Micro Devices. The Motley Fool has positions in and recommends Advanced Micro Devices, Micron Technology, and Nvidia. The Motley Fool recommends Arm Holdings. 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.

Goldman Sachs Predicts AI Infrastructure Spending Could Hit More Than $1 Trillion in 2027. 3 AI Stocks to Buy.

Key Points
Alphabet will be both a big AI infrastructure spender and winner.
TSMC is set to benefit from both increased AI capex and more types of chips going into data centers.
ASML is the company that makes AI possible with its EUV machines.
Goldman Sachs recently predicted that artificial intelligence (AI) infrastructure spending could climb to between $920 billion and $1.4 trillion next year, up from the more than $700 billion expected to be spent this year. Those are some huge numbers, and there undoubtedly will be some nice winners in the space.
Let's look at three under-the-radar AI stock winners set to benefit from this surge in data center capital expenditures (capex).
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
1. Alphabet
Alphabet (NASDAQ: GOOGL) (NASDAQ: GOOG) is set to be both one of the big spenders and winners when it comes to AI infrastructure spending. The company plans to spend between $180 billion and $190 billion this year, with a significant increase in 2027. However, if there is any company that should be pushing up its capex spending, it's Alphabet.
The reason is that the company currently has a significant cost advantage with its tensor processing units (TPUs). By being less reliant on Nvidia's graphics processing units (GPUs) than its competitors, it is getting more bang for its buck with its AI infrastructure spending. This lets it train its Gemini model at significantly lower cost than peers and also save huge costs on inference. In many cases, this can also help provide it with a better return with Google Cloud, which is growing rapidly.
Alphabet's TPUs have become so well regarded that it is now allowing select customers, such as Anthropic, to place orders directly with co-developer partner Broadcom. This adds another high-margin revenue stream for Alphabet. Between this and its TPU cost advantage, this is a stock set to win from surging data center capex.
2. Taiwan Semiconductor Manufacturing
AI chip spending is now not only going up, but it is also widening. That's great news for Taiwan Semiconductor Manufacturing (NYSE: TSM). Whether the spending is going to GPUs, custom application-specific integrated circuits (ASICs) like Alphabet's TPUs, or high-performance central processing units (CPUs), this all benefits TSMC, which has a virtual monopoly in the manufacturing of advanced logic chips.
While chip designers will inevitably look to second source their manufacturing base if possible, right now they are beholden to TSMC, as it is the only foundry that has both the scale and expertise to produce advanced logic chips in mass quantities with high yields (few defects). This has made the company an integral partner with leading chip designers, who must turn to TSMC not only for help securing capacity but also for planning their entire chip roadmaps. As more chip companies fight to secure fab capacity, this benefits TSMC, which has already shown it has strong pricing power. Recent reports indicate the company will raise prices on its newer 3nm chips by 15% later this year.
This all makes TSMC one of the best stocks to own as spending on AI infrastructure continues to ramp.
3. ASML
While TSMC manufactures advanced logic chips, ASML (NASDAQ: ASML) provides the machines that make this possible. In fact, without its technology, there would be no AI infrastructure boom, as it is the only company in the world with extreme ultraviolet (EUV) lithography technology.
EUV machines are what make GPUs and other advanced chips possible, making ASML one of the most important companies, even though it is not a household name.
In addition to being needed in the manufacturing of advanced logic chips, these machines are also used to make high bandwidth memory (HBM), while its older DUV machines can also be used in the memory-making process. Its EUV machines cost upwards of $200 million, so these are pricey pieces of equipment, and the company is seeing robust demand from both foundries like TSMC and the big memory makers.
As AI capex continues to climb, ASML is a great under-the-radar stock to own.
Should you buy stock 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 $433,268!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,259,391!*
Now, it’s worth noting Stock Advisor’s total average return is 935% — a market-crushing outperformance compared to 207% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
*Stock Advisor returns as of June 14, 2026.
Geoffrey Seiler has positions in Alphabet. The Motley Fool has positions in and recommends ASML, Alphabet, Goldman Sachs Group, Nvidia, and Taiwan Semiconductor Manufacturing. 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.

3 Under-the-Radar Ways to Play Goldman's $1 Trillion AI Spending 2027 Forecast

Key Points
Oracle's data centers are highly sought after by artificial intelligence (AI) powerhouses like OpenAI, because of their fast processing speeds and low cost.
Oracle has an order backlog worth $638 billion from customers who are waiting for more data centers to come online, but I see a few issues with that number.
Oracle stock is down 44% from last year's record high, but it isn't necessarily cheap.
As I write this, 12 publicly listed American companies have a market capitalization of $1 trillion or more, with SpaceX being the newest member of the prestigious club. Software and cloud infrastructure giant, Oracle (NYSE: ORCL), was tantalizingly close to joining them late last year when its market cap topped $935 billion, but its stock has since hit a wall.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
Oracle operates some of the fastest, and most cost-efficient data centers for artificial intelligence (AI) training and inference workloads, and it has a gigantic order backlog for computing capacity worth $638 billion. However, there is a real possibility that some of Oracle's top customers won't be able to fulfill their obligations, so investors are treading with caution.
Oracle stock is down 44% from its all-time high, and here's why the dip might not be a buying opportunity.
A leader in the AI infrastructure race
Oracle is building data centers as fast as it can to fill demand for computing capacity from its AI customers, which include OpenAI, Meta Platforms, and Elon Musk's xAI, to name a few. It fills these data centers with thousands of specialized chips called graphics processing units (GPUs), which are supplied by Nvidia and Advanced Micro Devices.
Oracle has a few advantages over other cloud providers. First, it prioritizes automation in its data centers, so it can bring them online much faster than competitors who rely on human-centric infrastructure management. Second, it uses proprietary remote direct memory access (RDMA) networking technology, which shifts data between GPUs faster than traditional Ethernet networks.
These attributes result in faster processing speeds and lower costs, which is a winning combination for AI developers who often pay for computing capacity by the minute.
Oracle has also built some enormous GPU clusters, allowing developers to tap into more than 131,000 of the latest chips from Nvidia and AMD. This is a key reason why companies at the forefront of the AI revolution -- like OpenAI -- use Oracle's infrastructure.
A big chunk of Oracle's backlog is from one customer
Oracle generated $19.2 billion in total revenue during its fiscal 2026 fourth quarter (ended May 31), which was a 21% increase from the year-ago period. Oracle Cloud Infrastructure (OCI) contributed $5.8 billion, which grew at a significantly faster pace of 93%, highlighting the significant demand for data center capacity.
But the headline number in this report was Oracle's $638 billion in remaining performance obligations (RPO), which soared by 363% year over year. RPO reflects the value of signed contracts for services that haven't been delivered yet, so it's similar to an order backlog. Oracle says the $638 billion figure is a good indication of future revenue, but investors should be aware of a few issues.
First, according to a report by The Wall Street Journal from last September, around $300 billion of Oracle's RPO was attributable to OpenAI alone. The start-up raised $122 billion from investors in March, but it only has around $25 billion in annualized revenue and is still posting losses. Therefore, it's unclear how the company will fulfill this enormous commitment to Oracle, especially since it has agreements of similar size with other cloud providers like Microsoft.
Second, Oracle only expects to convert 12% of its RPO into revenue over the next 12 months, followed by a further 34% in the 24 months after that. In other words, less than half of its RPO could become actual revenue over the next three years, which is a very wide window in an industry moving as quickly as AI. Since we are already witnessing cracks in the demand picture, RPO might not be the best indicator after all.
Third and finally, Oracle is carrying over $122 billion in long-term debt, and it just announced plans to raise another $40 billion through a mix of debt and equity. The company is investing heavily to build more AI data centers, which creates a risky situation for investors if that big RPO number doesn't turn into revenue.
Oracle stock looks fairly valued
Oracle generated generally accepted accounting principles (GAAP) earnings of $5.83 per share during fiscal 2026, placing its stock at a price-to-earnings (P/E) ratio of 31.6. That is a slight discount to the Nasdaq-100 index, which trades at a P/E of 34.6, so Oracle might be close to fair value relative to a basket of its big-tech peers.
However, Wall Street is only forecasting 7.7% earnings growth in fiscal 2027, so there might not be a whole lot of room for upside in its stock over the next 12 months. The Street is expecting much faster growth of 45.7% in fiscal 2028, but it's tough to rely on that prediction with any confidence right now given some of the issues I highlighted earlier.
In summary, investors might want to take a wait-and-see approach to Oracle. If the company continues to deliver positive results over the next few quarters, then there might be an opportunity to take a long-term position in its stock at the right price.
Should you buy stock in Oracle right now?
Before you buy stock in Oracle, 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 Oracle 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 $433,268!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,259,391!*
Now, it’s worth noting Stock Advisor’s total average return is 935% — a market-crushing outperformance compared to 206% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
Anthony Di Pizio has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Meta Platforms, Microsoft, Nvidia, and Oracle. 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.

This Artificial Intelligence (AI) Stock Appeared Destined for the $1 Trillion Club. Here's Why It Lost Momentum.

Key Points
Anthropic says its new Claude Fable family of models is as powerful as the Mythos model that it chose not to release to the public.
Over the past several months, the company has signed a number of partnerships with AI hyperscalers.
Chipmakers, cloud providers, and capacity partners are becoming increasingly important for Anthropic as the company rapidly scales up.
Fresh off a $65 billion Series H funding round and the confidential filing of its S-1 with the Securities and Exchange Commission, Anthropic has unveiled its most powerful large language model to date, Fable 5.
Let's explore what makes Fable so distinctive in the world of frontier artificial intelligence (AI). From there, I'll suggest four top stocks that are poised to benefit as Anthropic's model capabilities create new demand and opportunities across the AI system.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
What makes Claude Fable different than other generative AI models?
What truly distinguishes Fable is its design for agentic work rather than isolated prompt responses. Since the model features coherent reasoning and execution across extended sessions, it is inherently designed for autonomous handling of multistep projects that previously required constant human oversight.
In business environments, Fable has demonstrated strong performance in software engineering, where it can complete applications, build functional games, or iterate on existing user interfaces with minimal guidance. It extends beyond simple image recognition, making it capable of deeper interpretation of diagrams, charts, tables, and nested content within files.
Which hyperscalers benefit from the release of Claude Fable 5?
Like all frontier AI models, Fable relies on huge parallel processing power during both training and inference. Over the last several months, Anthropic has deepened its technical collaboration with Nvidia (NASDAQ: NVDA) through architecture optimization and large-scale deployments that incorporate the chipmaker's Blackwell and Vera Rubin GPU architectures.
This relationship will drive higher volumes of chip procurement and accelerate the adoption of Nvidia's full-stack ecosystem. As businesses adopt Fable for more demanding AI workloads, Nvidia should capture sustained hardware demand that supports its leadership in the accelerated computing landscape.
Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL) will also be a quiet winner from Fable's development. Like Nvidia, Google Cloud supplies Anthropic with access to its custom Tensor Processing Units (TPUs) for training needs.
Anthropic already runs workloads through Google Cloud's Vertex AI platform. Fable's release is likely to increase the scale of this operation. This will allow Alphabet to monetize both its data center capacity and its proprietary custom silicon hardware while deepening integration between its cloud infrastructure platform and Anthropic's AI model development.
Amazon (NASDAQ: AMZN) has one of the largest infrastructure commitments in the AI sector with Anthropic. Their multiyear agreement secures 5 gigawatts of new AI capacity, featuring substantial use of Amazon's custom Trainium and Inferentia chips. Their relationship also includes a $100 billion commitment over the coming decade from Anthropic to continue using Amazon Web Services (AWS) as its primary cloud provider.
SpaceX is the hidden winner with Claude Fable
SpaceX (NASDAQ: SPCX) is aggressively carving out a distinctive role in AI infrastructure by leasing cloud capacity. A new arrangement with SpaceX grants Anthropic access to 300 megawatts of new capacity featuring a cluster of more than 220,000 Nvidia GPUs. Per the terms of the deal, Anthropic will pay SpaceX $1.25 billion per month over the next three years.
For SpaceX, the relationship with Anthropic represents an ability to monetize its advanced data center infrastructure, which was originally developed for its own needs. The partnership converts some of that AI capacity into a steady revenue stream while positioning SpaceX as an emerging hyperscale compute provider.
In my view, Fable's arrival will accelerate infrastructure spending across a number of partners while offering end users a different level of AI-powered assistance.
Should you buy stock in Space Exploration Technologies right now?
Before you buy stock in Space Exploration Technologies, 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 Space Exploration Technologies 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 $433,268!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,259,391!*
Now, it’s worth noting Stock Advisor’s total average return is 935% — a market-crushing outperformance compared to 206% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
*Stock Advisor returns as of June 14, 2026.
Adam Spatacco has positions in Alphabet, Amazon, and Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon, 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.

These 4 Artificial Intelligence Stocks Have Room to Run Thanks to Anthropic's New Fable Model

Key Points
Marvell Technology gained ground thanks to news that the stock will be included in the S&P 500 index.
The company announced its new CFO and reiterated guidance for the current quarter.
Positive analyst coverage and Iran war news also lifted the stock.
Marvell Technology (NASDAQ: MRVL) stock managed to close out this week's trading solidly in the green, posting a gain of 6.6% over the period. Across the same stretch, the S&P 500 and the Nasdaq Composite both notched gains of approximately 0.7%.
Marvell stock started the week's trading off with strong gains thanks to news of its upcoming inclusion in the S&P 500 index. The company also announced its new chief financial officer (CFO), reiterated its forward guidance, and benefited from bullish analyst coverage and market momentum connected to expectations that the Iran war could be winding down. With this week's gains, the stock is now up 229% year to date.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
Marvell stock banks another solid bullish week
Marvell stock rocketed higher in Monday's trading on the heels of news that the company is being added to the S&P 500 index. Inclusion in the index means that exchange traded funds (ETFs) that track the index will have to buy Marvell stock, which should create positive pricing pressure.
On June 11, Marvell announced that it had appointed Dan Durn as its new CFO. Durn had previously worked at Adobe. Along with the CFO news, the company reiterated its previously issued guidance for the current fiscal quarter.
Positive analyst coverage and Iran war news
On Friday, B. Riley published new coverage on Marvell -- reiterating a buy rating on the stock and raising its one-year price target from $240 per share to $345 per share. Craig Ellis, the firm's lead analyst on the stock, said he saw Marvell's deepening partnership with Nvidia, leadership changes, and inclusion in the S&P 500 index as bullish catalysts.
In addition to bullish analyst coverage, Marvell and many other artificial intelligence stocks saw strong valuation gains on Friday thanks to news that the U.S. and Iran were on the verge of agreeing to the terms of a basic peace deal. If the war draws to a close, it could be a significant positive catalyst for Marvell and other growth stocks.
Should you buy stock in Marvell Technology right now?
Before you buy stock in Marvell Technology, 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 Marvell 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 $433,268!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,259,391!*
Now, it’s worth noting Stock Advisor’s total average return is 935% — a market-crushing outperformance compared to 206% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
*Stock Advisor returns as of June 14, 2026.
Keith Noonan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Adobe, Marvell Technology, and Nvidia. The Motley Fool recommends the following options: long January 2028 $330 calls on Adobe and short January 2028 $340 calls on Adobe. 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.

Why Marvell Technology Stock Surged This Week

Key Points
Nvidia and Micron both serve AI customers with products crucial for their success.
These stocks have each soared more than 1,000% over the past five years.
Nvidia (NASDAQ: NVDA) and Micron Technology (NASDAQ: MU) each have seen revenue soar amid this artificial intelligence (AI) boom. This is because these companies offer something that is crucial for the development and performance of this hot technology: compute power, and memory and storage.
Nvidia is the compute expert, designing the fastest graphics processing units (GPUs) around, while Micron offers the memory and storage necessary for AI tasks. Investors have recognized these companies' strengths and have rushed to get in on the stocks. As a result, Nvidia and Micron each have climbed more than 1,000% over the past five years.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
Both of these companies are likely to win as this AI story continues to unfold. But if you could only invest in one today, which is the better AI growth buy? Let's find out.
The case for Nvidia
Nvidia is the leading designer of GPUs, the chips powering key AI tasks like the training and inference of AI models. Though rivals also offer compute, and in many cases are delivering revenue growth too, Nvidia remains a big step ahead. Companies may invest in a broad range of compute, but those who aim to win in AI generally rely at least partially on Nvidia's GPUs -- their high speed helps customers reach the finish line faster and may result in a lower total cost of ownership over time.
But Nvidia doesn't rely on GPUs alone. The company offers a full portfolio of related products and services, and today it's in the process of entering another enormous market: the central processing unit (CPU) market. These are the chips that generally power all computers, and they are a key tool to fuel AI agents, the next area of AI growth. Nvidia is launching its first-ever stand-alone CPU this fall and is conquering the CPU for PC market with a new superchip. This may set it on track for leadership in this $200 billion market.
Nvidia also has designed products and services specifically for certain markets, from telecom to healthcare and robotics, which offers it a pretty significant revenue growth opportunity moving forward.
The case for Micron
Micron, as mentioned, is an expert in memory and storage -- two critical elements for AI customers, particularly as the era of AI agents unfolds. AI agents go through a thought process and carry out steps, in many cases multiple steps, to solve a particular problem. For this, they clearly need compute power but also memory and storage.
Demand for these products has been so high that Micron recently reported records in revenue, gross margin, earnings per share, and free cash flow, and revenue from DRAM and NAND, two types of memory, increased in the triple digits.
"In the AI era, memory has become a strategic asset for our customers," the company said in the latest earnings update.
Micron has noted increased adoption of AI agents in PCs and smartphones, a point that supports ongoing demand for the company's products.
The tech giant expects earnings records in the current quarter, the third fiscal quarter. Micron predicts free cash flow will "roughly double sequentially" in the period. And it forecasts third-quarter revenue of $33.5 billion, a record high for any quarter or year so far.
The biggest headwind for Micron at this point is supply -- due to supply constraints, it's unable to serve 100% of its customers' needs.
Which stock is the better buy?
Though Nvidia and Micron both have climbed this year, Micron's advance is much steeper than that of Nvidia. It's soared more than 240%, while Nvidia has added 9% as of the June 11 market close.
Micron actually is cheaper than Nvidia: It trades for 16x forward earnings estimates, while Nvidia trades for 22x. But while Nvidia's valuation has fallen this year, Micron's has increased.
I think Micron is a great stock to own, but the run-up in its price and rising valuation suggest this player could be heading for a pullback at a certain point. Meanwhile, Nvidia, at today's valuation, offers investors a fantastic buying opportunity. And that's why, today, I think Nvidia is the better AI growth buy to add to a tech portfolio.
Should you buy stock in Nvidia right now?
Before you buy stock in Nvidia, 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 Nvidia 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 $433,268!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,259,391!*
Now, it’s worth noting Stock Advisor’s total average return is 935% — a market-crushing outperformance compared to 206% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
*Stock Advisor returns as of June 14, 2026.
Adria Cimino has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Micron Technology 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.

Better AI Growth Buy Right Now: Nvidia vs Micron

Key Points
Memory and storage stocks are having a strong 2026.
Micron trades near $1,000, and investing in top performers like Samsung and SK Kynix is not easy for U.S. investors.
The Roundhill Memory ETF offers a way around the issues some investors are facing.
Companies have been making memory and storage solutions for decades, but it was artificial intelligence (AI) that recently woke up the sleepy sector. That's allowing specialized memory and storage providers like Micron Technology, Samsung Electronics, and SK Hynix to cash in.
Unfortunately for investors, owning those companies isn't the most straightforward. It costs nearly $1,000 to own a full share of Micron, while Samsung and SK Hynix are based in South Korea and do not offer American depository receipts (ADRs), making it more difficult for U.S. investors to own shares.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
SK Hynix did recently file for a listing of ADRs on a U.S. exchange, but the exact timing of when shares could be listed is still unclear.
Nevertheless, there's a way to participate in the success of all three stocks immediately for less than $70: the Roundhill Memory ETF (NYSEMKT: DRAM).
The access DRAM provides
The Roundhill Memory ETF launched on April 2 and, as of June 12, held 15 positions. Through total return swaps, which provide access to a stock through a derivative contract without ownership, and direct ownership, Micron is one of the top holdings in terms of portfolio weight of the exchange-traded fund (ETF).
Micron provides memory and storage solutions for personal computers, mobile phones, and the automotive industry, but shares have really taken off thanks to AI; the Micron stock price is up nearly 250% on the year. Micron offers a portfolio of data center memory solutions, which is helping drive record revenue. For the company's fiscal second quarter 2026 (ended Feb. 26), revenue for its core data center business unit was $5.6 billion, an increase of 211% from the $1.8 billion reported in the same period a year prior.
For Samsung, another top holding of the ETF, it also offers memory solutions like Micron. But unlike Micron, it focuses on more than just memory, providing a one-stop shop for logic, memory, foundry, and packing solutions. It recently launched samples of its high-bandwidth memory HBM4E chip, which companies like Nvidia and Alphabet need for AI accelerators. On the Korea Exchange (KRX), shares are up more than 150%.
Switching gears to SK Hynix, another significant holding in the RoundHill Memory ETF, it's more like Micron than Samsung in terms of purely focusing on advanced memory and storage offerings. In a big win for the company, it just landed a multi-year agreement with Nvidia to partner on AI memory chips. On the KRX, shares have jumped more than 200% for the year.
The risks and rewards
If the fervor for memory and storage stocks dies down, this ETF would be hit with losses particularly hard, as there's little room for it to hide. Just recently, shares dropped 17.7% from June 3 to June 10. That said, the memory and storage market is becoming less cyclical as AI creates constant demand, which creates a stronger backstop for memory and storage makers than they've had in the past.
Roundhill Memory holds some of the top memory and storage companies, offers access to Micron for less than $1,000, and gives U.S. investors a way to invest in SK Hynix and Samsung without dealing with international trading. As a small position in a well-rounded portfolio, the Roundhill Memory ETF can offer long-term upside for investors who can handle short-term volatility.
Should you buy stock in Roundhill ETF Trust - Roundhill Memory ETF right now?
Before you buy stock in Roundhill ETF Trust - Roundhill Memory ETF, 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 Roundhill ETF Trust - Roundhill Memory ETF 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 $433,268!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,259,391!*
Now, it’s worth noting Stock Advisor’s total average return is 935% — a market-crushing outperformance compared to 206% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
*Stock Advisor returns as of June 14, 2026.
Jack Delaney has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Micron Technology, 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.

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