intelligence

The Dark Fleet: How Cartels Took Hold of North America’s Energy Trade

When a Danish-flagged tanker named Torm Agnes quietly pulled into Mexico’s Port of Ensenada this spring, few took notice. The harbor, better known for cruise liners and pleasure yachts, seemed an unlikely setting for a large-scale energy delivery. But what followed was no ordinary unloading. Within hours, convoys of fuel-hauling trucks began siphoning off diesel from the tanker under the cover of night, an industrial cover that occurred so fast that witnesses said it operated “like clockwork.”

By morning, much of the shipment, worth roughly $12 million, had vanished into the Mexican black market. On paper, the cargo was listed as lubricants, exempt from Mexico’s high import taxes. In reality, it was a vast quantity of U.S.-sourced diesel smuggled by intermediaries working with one of Mexico’s most violent cartels; the Jalisco New Generation Cartel, or CJNG.

This was not a one-off operation. It was part of a sprawling, billion-dollar criminal enterprise linking Mexican cartels, U.S. traders, corrupt officials, and global shipping firms into what security analysts are now calling a “dark fleet.” And it underscores a deeper truth: the cartelization of Mexico’s energy market is no longer a localized issue, it’s a geopolitical problem touching the heart of North American trade, governance, and security.

A New Market Touched by Cartels:

For decades, Mexico’s cartels made their fortune in narcotics. Today, they are energy traders, exploiting systemic weaknesses in Mexico’s tax system and infrastructure to build empires rivaling legitimate fuel companies. According to Mexican officials, bootleg imports may now account for up to one-third of the country’s diesel and gasoline market, worth more than $20 billion a year.

The genius of the scheme lies in its simplicity. Mexico’s IEPS tax, a levy on imported fuels often exceeding 50% of a shipment’s value, creates a powerful incentive to cheat. Smugglers evade this tax by falsifying cargo documents, claiming their shipments contain lubricants or petrochemical additives, both of which are tax-exempt. The fake paperwork passes through customs with the help of bribes, while the actual diesel or gasoline floods Mexican markets at a discount.

Companies like Houston-based Ikon Midstream, which bought and shipped the Torm Agnes cargo, occupy the gray zone between legality and complicity. The firm purchased diesel in Canada, disguised it as lubricants in customs documents, and sent it to a Monterrey-based recipient called Intanza, a company authorities now suspect is a CJNG front.

It is the blending of formal and criminal economies that makes this phenomenon so dangerous. What once required violent pipeline theft now operates as a hybrid supply chain, complete with invoices, shipping manifests, and trade intermediaries. The same global infrastructure that powers legitimate energy commerce has been repurposed for organized crime.

The American connection:

The Ensenada case illustrates how deeply intertwined U.S. and Mexican energy systems have become. Nearly all the smuggled fuel originates in the United States or Canada. It passes through American ports, refineries, and shipping brokers, some unwitting, others complicit.

Texas, long a hub for legitimate fuel exports, has also become fertile ground for illicit operations. “The cartels have infiltrated many legitimate businesses along the border and further north,” warned Texas State Senator Juan Hinojosa, who has pushed for stricter licensing of fuel depots and transporters.

The U.S. Treasury Department and the Office of Foreign Assets Control  have since begun sanctioning dozens of Mexican nationals and companies tied to CJNG’s fuel operations. Yet the challenge lies in the complex nature of the trade; each shipment can involve multiple shell companies, international middlemen, and falsified documents. Even major firms like Torm, one of the world’s largest tanker operators, have been drawn into controversy. The company says it cut ties with Ikon Midstream after the Ensenada operation became public, citing contractual deception.

Meanwhile, the U.S. Department of Justice has already prosecuted American citizens for aiding cartel-linked fuel schemes. In May, a Utah father and son were charged with laundering money and supplying material support to CJNG by helping smuggle Mexican crude oil. Such cases highlight that America’s own regulatory and commercial systems are being leveraged to sustain the very criminal organizations Washington seeks to dismantle.

Mexico’s Shaky Governance:

For Mexico, the rise of cartel fuel empires is not just an economic issue, it’s an existential one. The Mexican Navy, once regarded as among the country’s least corrupt institutions, is now under internal investigation for its role in facilitating smuggling at ports. Senior naval and customs officials have been arrested in connection with illegal tanker operations, while President Claudia Sheinbaum’s administration has made combating fuel theft a cornerstone of its early tenure.

But even high-profile seizures barely scratch the surface. Since Sheinbaum took office in late 2024, authorities have confiscated an estimated 500,000 barrels of illegal fuel, less than a fraction of the $20 billion trade. Prosecutors investigating the racket face mortal danger. In August, Tamaulipas’ federal prosecutor was assassinated after leading raids that uncovered more than 1.8 million liters of illicit fuel.

This combination of organized crime, corruption, and governance failure is a hallmark of what political scientists call “criminal capture”, the point at which state institutions become functionally co-opted by illicit economies. With cartels operating as false energy corporations, Mexico’s sovereignty over its own fuel sector is seemingly a facade.

The Global Shadow Market:

The implications stretch beyond Mexico. The term “dark fleet” was first used to describe tankers smuggling sanctioned Russian and Iranian oil. Now, it applies equally to the vessels carrying contraband fuel across the Gulf of Mexico and Pacific coastlines.

These ships exploit the same legal and logistical loopholes that sustain global energy markets; open registries, layered ownership, and limited oversight in maritime trade. Once a vessel’s cargo is reclassified or offloaded at an unsanctioned port, tracing its origins becomes almost impossible.

For Western energy giants, this black-market competition is tangible. Shell’s decision to sell its retail operations in Mexico earlier this year was due in part to its inability to compete with cheaper cartel-supplied fuel. Bootleg diesel sells at a 5–10% discount below legitimate imports, enough to distort prices across an entire sector.

Meanwhile, the illusion of “cheap” fuel comes at extraordinary cost. Mexico’s treasury loses billions in tax revenue annually, honest importers are squeezed out, and legitimate workers are drawn into dangerous informal economies. The trade also erodes trust in North America’s supply chains, just as Washington and Mexico City struggle to deepen cross-border economic integration under the USMCA framework.

Cartel Infiltration into Trade Routes:

The evolution of cartels from narcotics traffickers to fuel traders reflects a broader transformation in organized crime. Cartels have always been adaptive enterprises, but their pivot into energy reveals strategy: fuel is legal, high-margin, and logistically complex, making it perfect for laundering money under the guise of legitimate trade.

In this new landscape, the line between criminal and commercial actor has blurred beyond recognition. A U.S. trader signing a fuel invoice in Houston may be unknowingly financing a cartel warehouse in Jalisco. A Danish shipping company fulfilling a contract may inadvertently be enabling tax evasion worth millions. And a Mexican port official turning a blind eye may be advancing the interests of a criminal enterprise larger than the state itself.

The Torm Agnes episode is not merely a tale of smuggling; it is an example showcasing globalization’s vulnerabilities. As supply chains grow more complex and opaque, the ability of states to control what passes through their borders diminishes.

What’s Next?

Mexico’s “dark fleet” is more than a law enforcement issue, it’s a test of North America’s supply chain security. If cartels can operate international fuel logistics networks using legitimate Western infrastructure, the implications reach far beyond Ensenada. It raises fundamental questions about regulation, accountability, and the complicity embedded in global commerce.

President Sheinbaum’s crackdown, combined with U.S. sanctions, suggests the beginnings of a coordinated response. But the scale of the challenge is daunting. As one former OFAC official put it, “The cartels are not just criminals anymore, they’re businessmen with global reach.”

Whether Washington and Mexico City can curb this hybrid economy will define not just the future of bilateral relations, but the credibility and stability of the global energy system itself.

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Better Artificial Intelligence (AI) Stock: Palantir vs. Nvidia

These two companies represent different sides of the AI investment trend.

The artificial intelligence (AI) megatrend has dominated the stock market over the past three years, and with massive AI spending projections stretching out through 2030 and beyond, that doesn’t look likely to change anytime soon. Two of the most successful stock picks in that part of the tech sector in recent years have been Palantir (PLTR 0.11%) and Nvidia (NVDA 0.86%). They aren’t competitors, as they operate on different sides of the AI value chain. Nvidia is a largely hardware provider, while Palantir makes software.

Both have made their long-term investors a ton of money, but the question is, which one provides the better investment opportunity from here? Let’s break that question down and consider it by category.  

Business model

Nvidia makes the world’s leading graphics processing units (GPUs), and its wares are by far the most popular parallel-processor chips for powering and training AI models. Nvidia has enjoyed solid market dominance over the past few years, but rising competition from AMD (NASDAQ: AMD) and Broadcom (NASDAQ: AVGO) could challenge that. Additionally, the AI infrastructure buildout won’t last forever. There will eventually be a time when companies aren’t racing to add high volumes of computing capacity, but instead mostly replacing processors as they reach the end of their useful lifespans.

Palantir sells its customers artificial intelligence-powered data analytics platforms, and it has a large client base in both the commercial and government spaces. Palantir’s software enables those with decision-making authority to act quickly and with the most up-to-date information possible. Furthermore, it also offers automation tools that can task AI agents with jobs that humans have traditionally done, freeing up employees to do work that requires original thinking.

Even after the initial stages of the AI revolution are over, the use cases for AI will continue to grow. Palantir’s software is also a subscription service, so for customers to continue using it, they must pay their Palantir bills every year, while data center operators may be able to put off replacing their Nvidia GPUs for a while. This makes Palantir’s business model more sustainable, giving it the edge here.

Winner: Palantir

Growth rates

Both companies are growing at similar rates, although Nvidia’s sales have decelerated on a percentage basis, while Palantir’s continue to gradually accelerate.

NVDA Revenue (Quarterly YoY Growth) Chart

NVDA Revenue (Quarterly YoY Growth) data by YCharts.

Whether Palantir will take the lead on growth or not, only time will tell, but with massive demand for AI services still out there, each will likely maintain a relatively rapid growth rate for the foreseeable future, leading me to view them as fairly evenly matched by this criterion.

Winner: Tie

Valuation

From a valuation standpoint, the comparison isn’t particularly close. Palantir’s stock has delivered incredible returns alongside Nvidia, but a large chunk of Palantir’s share price gains has come from its valuations rising to outsized levels, and that condition is not sustainable.

NVDA PE Ratio (Forward) Chart

NVDA PE Ratio (Forward) data by YCharts.

Nvidia trades at a comparatively cheap 42 times forward expected earnings, while Palantir’s ratio tops 275. For comparison, if Nvidia had the same forward P/E as Palantir, it would be worth over $30 trillion, versus the $4.6 trillion it’s actually worth.

This shows that Palantir is overvalued. It will have to deliver years of sales and earnings growth to return the stock to a more reasonable level, even if it simply moves sideways from here. If we set Nvidia’s current valuation of 42 times forward earnings as that “more reasonable” level, and Palantir’s revenue rises at a 50% compound annual growth rate while it maintains a 35% profit margin, it would take over five years’ worth of growth to bring its P/E down to the target. And again, that assumes the stock doesn’t rise during those five years.

That means that Nvidia has basically a five-year head start on Palantir’s long-term stock performance. Given that AI spending is projected to grow rapidly over the next five years, Nvidia shares should easily outperform Palantir moving forward, as Palantir will spend most of the next five years growing into its already expensive valuation. Which is why, despite the two companies’ similar growth rates and Palantir’s more attractive business model, it’s not the AI stock I’d suggest buying now.

Overall winner: Nvidia

Keithen Drury has positions in Broadcom and Nvidia. The Motley Fool has positions in and recommends Advanced Micro Devices, Nvidia, and Palantir Technologies. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy.

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2 Millionaire-Maker Artificial Intelligence (AI) Stocks

These high-quality stocks can generate life-changing returns for patient investors.

Artificial intelligence (AI) has become the megatrend of this decade and is fast transforming the enterprise landscape. According to Gartner, global AI spending will be nearly $1.5 trillion in calendar year 2025.

While the AI opportunity is massive, not every AI player can prove to be an exceptional business in the long run. Companies with proven technologies and well-established customer bases stand a better chance of sustaining high top-line and bottom-line growth rates in the coming years.

Here’s why Palantir Technologies (PLTR -0.31%) and Snowflake (SNOW 0.18%) are two companies that could deliver strong returns, turning disciplined investors into millionaires over the long run.

Two professionals are having a discussion, while one of them points at a desktop monitor on the desk in their office.

Image source: Getty Images.

Palantir

Palantir has evolved from a pure data analytics company to a full-stack AI enterprise platform. The company’s software solutions are now used in mission-critical operations by both government and commercial clients.

In the second quarter, the company’s revenue soared 48% year over year to over $1 billion. The U.S. continues to be the biggest market, with revenue growing 68% to $733 million. The company also closed a record $2.27 billion in total contract value, up 140% over the year-ago period.

A significant part of this growth is driven by the rapid enterprise adoption of the company’s Artificial Intelligence Platform (AIP). AIP combines large language model reasoning with the company’s proprietary ontology framework (used to relate physical assets to digital twins) to solve complex, real-time business challenges.

Palantir is also focused on helping clients scale through automation. The company has added new tools and features to AIP, such as AI Forward Deployed Engineer (software engineer) and AI Workbench, to automate application development tasks and develop, debug, and automate workflows.

The company has also introduced the Ontology-as-a-Code feature to enable clients to leverage ontology in their preferred integrated development environments, tools, and workflows.

Palantir’s shares are currently trading at a very aggressive valuation of over 123 times sales. Although not an ideal scenario, this premium reflects Wall Street’s confidence in the company’s future growth trajectory.

Analysts expect Palantir’s revenue to rise at a compound annual growth rate (CAGR) of 39.9% from $2.86 billion in fiscal 2024 to $11 billion in fiscal 2028. Adjusted earnings per share (EPS) are also expected to grow at a CAGR of 40.7% from $0.41 in fiscal 2024 to $1.61 in fiscal 2028. Hence, the valuation can continue to remain elevated for several more years.

Considering these factors, Palantir can prove to be a smart pick in 2025.

Snowflake

Snowflake is transitioning from a cloud data warehouse to an AI data cloud (unified platform comprising AI technologies, data, and applications) for enterprises.

In Q2 of fiscal 2026 (ended July 31, 2025), product revenue grew 32% year over year to $1.09 billion, while non-GAAP operating margin reached 11%. The company had $6.9 billion in remaining performance obligations (RPO) at the end of Q2, up 33% on a year-over-year basis. With a large base of renewing customers, contracted billings, and large deals in the pipeline, the company has strong revenue visibility for the next few years. Snowflake’s healthy net-revenue retention rate of 125% also demonstrates its success in cross-selling and upselling to existing clients.

AI has become the key growth engine, influencing almost half of all new customer wins in Q2. AI is also powering nearly 25% of the deployed use cases. Currently, over 6,100 accounts use Snowflake’s AI capabilities on a weekly basis for various activities such as data migrations, analytics, and workflow transformations.

Snowflake has further strengthened its position in enterprise AI with Snowflake Intelligence, which enables enterprises to interact directly with their data and also build intelligent agents. The company has introduced Cortex AI SQL, which enables users to leverage AI models directly within SQL databases. This removes the need to move data between applications and unifies analytics and AI.

The company is also committed to improving performance and efficiency. The company launched Gen2 data warehouses , which offer double the performance in extracting insights and managing data without increasing costs. The company’s new OpenFlow capability allows enterprises to bring unstructured, structured, batch, or real-time streaming data into the Snowflake platform.

All these AI-powered capabilities have accelerated the company’s customer acquisition pace. Snowflake added 533 new customers in Q2, including 15 Global 2000 companies. The company now is trading at 19.4 times sales, which is not cheap for a loss-making company. However, the premium seems justified when we consider its accelerating AI adoption, expanding customer base, and robust backlog.

Hence, the payoff in investing in Snowflake can be impressive despite its elevated valuation levels.

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Microsoft vs. Apple: What’s the Better Artificial Intelligence (AI) Stock to Buy Today?

Microsoft’s Copilot is already helping generate billions in revenue, while Apple is in the midst of enhancing its iPhones with new AI features.

Microsoft (MSFT -0.15%) and Apple (AAPL 0.54%) are forever rivals. They are competitors in the personal computer market and for years have been the leading tech companies in the world. Even today, their valuations are similar. As of Tuesday’s close, Microsoft had a slight edge in market cap ($3.82 trillion versus $3.67 trillion).

There’s a new arena that could be their new battleground: artificial intelligence (AI). It’s still the early innings of AI deployment, and how their businesses evolve and adapt to AI remains a big question mark. But based on where they are today, which AI stock looks to be the better buy right now?

A person's face partially obscured by numbers and images.

Image source: Getty Images.

Which company has the better overall growth prospects?

Both of these companies already have large, robust businesses that can benefit from AI. Apple is a big name in consumer electronics with its iPads and iPhones being highly coveted products and, in some cases, status symbols. Microsoft, meanwhile, has its core in the business world with companies all over using its office products and cloud software for their day-to-day operational needs. They also both sell personal computers, with Microsoft focusing more on practicality and real-world business use, while Apple’s focus has been on simplicity and ease of use for the average user.

They both have many opportunities where AI can enhance their existing products in services. But the edge for sheer growth potential has to go Microsoft, simply because of how much broader its business has become over the years, especially in gaming, with it wrapping up its massive $69 billion acquisition of Activision Blizzard a couple of years ago.

Which company will benefit the most from AI?

AI has tremendous potential applications for these businesses. Many Apple users have been eagerly awaiting the launch of new AI-powered features for the company’s iPhones and were disappointed when they learned many of the key ones related to Siri will be pushed back until next year.

When that happens, however, that could trigger a flurry of upgrades and growth for the business. I don’t think a slow-and-steady approach will necessarily hurt Apple. In fact, it could end up being a smart move for the tech company by taking its time and ensuring everything is rolled out smoothly, to ensure that user privacy is well protected in the process.

Microsoft has already been enhancing its products and services with AI capabilities. However, there’s been plenty of debate about just how successful its Copilot AI really is. Salesforce CEO Marc Benioff has referred to it as “Clippy 2.0,” in reference to the frustrating assistant that Microsoft had years ago that users didn’t find all that helpful.

Apple deserves an edge when it comes to AI potential, simply for the massive wave of upgrades that could be coming if it hits it out of the park with its new iPhone features.

Which stock has the more attractive valuation?

It’s always important to consider valuation when buying a stock, as buying at a high price may impact your ability to earn a good return from your investment in the future. For a while, Microsoft’s stock was trading at more of a premium to Apple’s stock, but in recent weeks, that gap has evaporated.

MSFT PE Ratio Chart

Data by YCharts.

This one is easy to decide: It’s a tie. Their price-to-earnings multiples are almost identical at this stage. But it is notable to see that prior to the announcement of reciprocal tariffs in April, it was Apple that was trading at more of a premium than Microsoft, and then the trend reversed, with Apple’s exposure to manufacturing its iPhones in China likely weighing down the stock for part of the year.

Which stock should you buy?

The stock I’d buy today is Apple. It has devoted fans who will be willing to upgrade to the newest iPhone, even under challenging economic conditions, if it means access to cutting-edge features. Apple may be slow in rolling out AI, but when it does, the execution can be a lot cleaner, polished, and better for users in the end than if it were rushed.

Microsoft, meanwhile, has been quick to rush out AI features for its software. However, in an increasingly crowded market for AI services, it may have a more difficult time keeping customers happy when there may be other, and potentially better, options to choose from.

Apple, may, in the end, benefit from being a bit slower in its AI deployment.

David Jagielski has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Apple, Microsoft, and Salesforce. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.

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3 Big Mistakes for Artificial Intelligence (AI) Growth Stock Investors to Avoid in 2026

These investing best practices are especially important as tensions heat up between the U.S. and China.

The Nasdaq Composite‘s brutal 3.6% sell-off on Oct. 10 was a painful reminder of how quickly growth stocks can sell off when doubt creeps in. Friday’s tumble marked the worst session since April during the height of trade tensions between the U.S. and China.

The sell-off was a reaction to the U.S. threatening an additional 100% tariff on Chinese imports as a retaliation for China’s stricter export controls on rare-earth minerals and magnets. These materials and products are used across economic sectors, including semiconductors and technological equipment with artificial intelligence (AI) applications.

On Oct. 12, reports indicated that China would not back down against escalated tariff threats from the U.S.

Investors often talk about buying opportunities when the market is selling off. But it can be just as helpful to be aware of potential mistakes and prevent them before they do damage to your portfolio. Here are three that apply to AI growth stock investors who are preparing for next year.

Light from a screen reflecting off an investor’s glasses.

Image source: Getty Images.

1. Having an overly concentrated AI portfolio

A common mistake is to overly focus on one facet of a value chain.

For example, an investor may own Nvidia (NVDA -0.17%), Broadcom, and Advanced Micro Devices as a way to diversify across different AI chip designers. The issue is that many of these companies have the same customers. For example, OpenAI is buying chips from all three companies to build out 10 gigawatts of data centers. If OpenAI were to cut its spending, it could affect the earnings of all three companies.

Similarly, equipment suppliers like Applied Materials, Lam Research, and ASML all share the same largest customers — which are semiconductor manufacturers like Taiwan Semiconductor, Samsung Electronics, and Intel. So if Taiwan Semi cuts its spending, it would reduce earnings across the semiconductor equipment supplier industry.

Further down the value chain are the cloud computing giants like Amazon Web Services, Microsoft Azure, Alphabet-owned Google Cloud, and Oracle. These companies benefit from increased AI spending, but they also serve general computing and storage needs. A slowdown in AI spending, or a widespread economic downturn, could reduce demand for additional cloud computing usage across major corporations.

By building out an AI portfolio across the value chain rather than focusing on one segment, you can help reduce volatility and limit the damage of an industry-specific pullback.

2. Ignoring position sizing

Portfolio sizing and allocation are just as important as the stocks and exchange-traded funds owned. You don’t want to be so diversified that your best ideas don’t make a big impact, but you also don’t want to be overly concentrated to the point where a handful of stocks can damage your financial health.

There’s no one-size-fits-all solution to diversification. But factors to consider include investment goals, investment time horizon, and risk tolerance.

A risk-averse investor would probably want to limit the size of a single stock in their financial portfolio, whereas an investor with a high risk tolerance and a multi-decade time horizon may not mind betting big on a handful of stocks, especially if they are still making new contributions to their investment accounts.

3. Buying stocks and not companies

Building a diversified portfolio isn’t enough. In fact, it’s not even the most important factor.

Arguably, the greatest mistake investors can make when approaching AI is to invest in stocks rather than companies. In other words, focusing too much on price action and potential gains rather than on what a company does and where it could be headed.

Peter Lynch’s investment advice to “know what you own, and why you own it,” still rings true today. Without conviction, a concoction of emotion and volatility can corrode the foundations of even the strongest portfolios. An investor may hold positions in stocks just because they are going up, even if those gains are temporary, because they don’t have to do with the underlying investment thesis.

The best investments are the ones you can put a decent amount of your portfolio into and be confident in owning, even if they suffer an extreme sell-off — like we saw in April during the height of trade tensions. If someone bought Nvidia just to make a quick buck, they may have been tempted to sell it when it fell by over 37% from its high in early April. Or when it dropped over 55% from its high in 2022. But someone investing in Nvidia for its multi-decade potential in AI data centers would have had an easier time holding the stock throughout these volatile periods.

Unlocking lasting success in the stock market

Diversifying across the AI value chain in companies you understand and with an awareness of portfolio sizing can help you build a portfolio that’s built to last, rather than one that can get hot only if the conditions are right.

Long-term investors know that success is more about making consistently good decisions over an extended period, rather than a few great ideas wedged between mediocrity and mistakes.

AI stocks have generated monster returns for patient investors, and many have the potential to create lasting generational wealth going forward. But those gains could take time, with many bumps along the way.

No one knows when the next major stock market sell-off will occur. Instead of guessing the timing and severity of a sell-off, it’s better to put your effort into following great companies and limiting mistakes.

In sum, diversification, conviction, and good companies are components that can help you build an investment suspension system capable of absorbing sell-off shocks.

Daniel Foelber has positions in ASML and Nvidia and has the following options: short November 2025 $820 calls on ASML. The Motley Fool has positions in and recommends ASML, Advanced Micro Devices, Alphabet, Amazon, Applied Materials, Intel, Lam Research, Microsoft, Nvidia, Oracle, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Broadcom and recommends the following options: long January 2026 $395 calls on Microsoft, short January 2026 $405 calls on Microsoft, and short November 2025 $21 puts on Intel. The Motley Fool has a disclosure policy.

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Large Investment Manager Hits the Eject Button on Artificial Intelligence (AI) Stock. Should Retail Investors Look to Buy on the Dip?

On October 14, 2025, CCLA Investment Management disclosed it had sold its entire position in NICE (NICE -1.26%) in an estimated $120.03 million transaction.

What Happened

According to a filing with the Securities and Exchange Commission dated October 14, 2025, CCLA Investment Management exited its holding in NICE by selling all 710,865 shares, with an estimated trade value of $120.03 million.

What Else to Know

CCLA Investment Management sold out of NICE, reducing its post-trade stake to zero; the position now represents 0% of 13F AUM.

Top holdings following the filing:

  • NASDAQ:MSFT – $369.63 million (5.9% of AUM) as of September 30, 2025
  • NASDAQ:GOOGL – $345.87 million (5.5% of AUM) as of September 30, 2025
  • NASDAQ:AMZN – $269.0 million (4.3% of AUM) as of September 30, 2025
  • NASDAQ:AVGO – $207.92 million (3.3% of AUM) as of September 30, 2025
  • NYSE:V – $180.65 million (2.9% of AUM) as of September 30, 2025

As of October 13, 2025, shares of NICE were priced at $132.00, marking a 23.8% decrease over the year ended October 13, 2025. Over the same period, shares have underperformed the S&P 500 by 35.5 percentage points.

Company Overview

Metric Value
Revenue (TTM) $2.84 billion
Net Income (TTM) $541.15 million
Price (as of market close 2025-10-13) $132.00
One-Year Price Change (23.83%)

Company Snapshot

NICE Ltd. delivers AI-powered cloud software solutions designed to optimize customer experience and enhance compliance for enterprises and public sector organizations worldwide. The company leverages a broad portfolio of proprietary platforms and analytics tools to address complex business needs in digital transformation, financial crime prevention, and operational efficiency.

The company offers AI-driven cloud platforms for customer experience, financial crime prevention, analytics, and digital evidence management, including flagship products such as CXone, Enlighten, and X-Sight.

NICE Ltd. serves a global client base of enterprises, contact centers, financial institutions, and public safety agencies seeking advanced automation, compliance, and customer engagement solutions. It operates a subscription-based business model, generating revenue from cloud services, software licensing, and value-added solutions for enterprise and public sector clients.

Foolish Take

In a recent regulatory filing, CCLA Investment Management revealed that it has completely sold out of its ~$120 million position in NICE, an Israeli software company. This move comes following a tough period for NICE stock.

Over the last five years, the company’s stock has consistently underperformed the broader market. Shares have logged a total return of (44%) over this period, equating to a compound annual growth rate (CAGR) of (11%). This compares quite unfavorably to the S&P 500, which has generated a total return of 105% over the last five years, equating to a CAGR of 15%.

All that said, NICE’s stock performance doesn’t reflect its underlying fundamentals. Total revenue, net income, and free cash flow have all increased significantly over the last five years, indicating strength in the company’s business model, which relies on artificial intelligence (AI) to power applications serving contact centers, financial institutions, and public safety organizations. Moreover, the company recently announced plans to buy back up to $500 million worth of its outstanding shares, which could help put a floor under its share price.

While CCLA’s recent sale does indicate the deterioration of some institutional support, retail investors may want to take a look at NICE — an under-the-radar AI growth stock.

Glossary

13F reportable assets: Assets disclosed by institutional investment managers in quarterly SEC Form 13F filings.

AUM (Assets Under Management): The total market value of investments managed by a fund or investment firm on behalf of clients.

Quarterly average price: The average price of a security over a specific quarter, often used to estimate transaction values.

Post-trade stake: The number of shares or value held in a position after a trade is completed.

Flagship products: A company’s leading or most prominent products, often representing its brand or core offerings.

Cloud platforms: Online computing environments that provide scalable software and services over the internet.

Digital evidence management: Systems for storing, organizing, and analyzing electronic data used in investigations or compliance.

Financial crime prevention: Technologies and practices designed to detect and stop illegal financial activities, such as fraud or money laundering.

Compliance: Adhering to laws, regulations, and industry standards relevant to a business or sector.

TTM: The 12-month period ending with the most recent quarterly report.

Operational efficiency: The ability of a company to deliver products or services using minimal resources and costs.

Jake Lerch has positions in Alphabet, Amazon, and Visa. The Motley Fool has positions in and recommends Alphabet, Amazon, Microsoft, Nice, and Visa. The Motley Fool recommends Broadcom and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.

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Uber Is Backing This Artificial Intelligence (AI) Stock That Soared 67% Over the Past Year. Should You?

Serve Robotics (SERV -0.55%) develops autonomous last-mile logistics solutions. It has a major deal with Uber Technologies (NYSE: UBER) that will see thousands of its latest robots deployed into the Uber Eats food delivery network. But this is more than just a commercial partnership, because Uber is also one of Serve’s largest shareholders.

Uber acquired a company called Postmates in 2020, and in 2021, it spun Postmates’ robotics division out into a new company that became Serve Robotics. Serve is still relatively small with a market capitalization of just $890 million, but at the time of this writing, its stock has soared by 67% over the past year alone.

Serve has identified an enormous addressable market for its delivery robots, so should investors join Uber and buy the stock?

An autonomous delivery robot driving along the sidewalk.

Image source: Getty Images.

A potential $450 billion opportunity

Existing last-mile logistics networks are quite inefficient, because they rely on cars with human drivers to deliver relatively small commercial loads from restaurants and retail stores. Serve is betting those workloads will increasingly shift to autonomous robots and drones, creating a potential $450 billion opportunity by 2030.

Serve’s latest Gen 3 robots have achieved Level 4 autonomy, meaning they can safely operate on sidewalks in designated areas without any human intervention. This makes them ideal for transporting small food orders, which is why 2,500 restaurants in five U.S. cities have used them to make 100,000 deliveries since 2022.

The Gen 3 robots use Nvidia‘s Jetson Orin platform, which includes all of the computing hardware and artificial intelligence (AI) software they need to operate autonomously. Having such a powerful technology partner will help Serve scale as quickly as possible, which is key to bringing costs down to management’s target of just $1 per delivery. At that point, using robots will be substantially cheaper than using human drivers.

Serve has a contract with Uber Eats to deploy 2,000 robots across Los Angeles, Miami, Dallas, Atlanta, and Chicago before the end of 2025. The company rolled out its 1,000th robot on Oct. 6, meaning its capacity will double in just the next few months.

But it won’t stop there, because last week Serve announced a new multiyear deal with DoorDash, which operates the largest food delivery network in the U.S. The two companies are yet to provide firm numbers, so it’s unclear how many more robots Serve will have to deploy.

Scaling a robotics business is not cheap

Despite its status as a publicly traded company, Serve is still very much a start-up. Its revenue tends to be quite lumpy, which is typical when a product is in the early stages of commercialization. The company brought in just $642,000 in revenue during the second quarter of 2025 (ended June 30), which is a tiny amount relative to its $890 million market cap.

But Serve’s business could scale extremely quickly. Management thinks the company will generate up to $80 million in annual revenue once all 2,000 Gen 3 robots are up and running, which bodes well for 2026. Wall Street predicts Serve will generate $3.6 million in total revenue this year (according to Yahoo! Finance), so $80 million would be a monumental jump.

But so far, the road to commercialization has been paved with substantial losses. Serve lost $33.7 million on a generally accepted accounting principles (GAAP) basis during the first half of 2025, so it’s on track to exceed its 2024 loss of $39.2 million by a very wide margin. The company spent $16 million on research and development alone during the first half of this year, so based on its minuscule revenues, its losses are no surprise.

Serve had $183 million in cash on hand as of June 30, and it raised a further $100 million from investors in October, so it has enough cushion to sustain its losses for the next few years (assuming they don’t materially increase). However, if the company doesn’t chart a pathway to profitability by then, it might have to raise even more money, which will dilute existing shareholders.

As a result, there is a lot riding on the successful commercialization of Serve’s 2,000 Gen 3 robots.

Serve stock trades at a sky-high valuation, but is it a buy?

Serve stock is extremely expensive right now. Its price-to-sales (P/S) ratio is a mind-boggling 486, making it substantially more expensive than any other major AI stock. Palantir Technologies, which also trades at a sky-high valuation, looks cheap by comparison because its P/S ratio is 128. For some further perspective, Nvidia stock has a P/S ratio of just 27.

SERV PS Ratio Chart

SERV PS Ratio data by YCharts

With that said, if we assume Serve will generate around $80 million in revenue next year, its forward P/S ratio is just 11. In other words, it almost looks like a bargain.

But investors can’t always rely on management’s guidance, especially in this case because it assumes a perfectly smooth transition to commercialization for the Gen 3 robot. As with any new product, there will probably be bumps in the road, and we simply don’t know if it will scale successfully.

As a result, investors might be better off waiting a few more quarters to see if the rollout of the robots actually translates into as much tangible revenue as management expects. If it doesn’t, Serve stock could suffer a sharp correction because of its current valuation.

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Could Buying $10,000 of This Generative Artificial Intelligence (AI) ETF Make You a Millionaire?

This exchange-traded fund is loaded with potential generative AI winners.

Some of the biggest winners in the stock market over the last three years have been companies riding the rising wave of generative artificial intelligence.

Palantir (PLTR -5.39%), with its artificial intelligence platform, has seen its stock rise by over 2,000% in three years. Nvidia (NVDA -4.84%), the poster child for AI chipmakers, is up by more than 1,300% in the same period. And neo-cloud providers like Nebius Group (NBIS -2.37%) and CoreWeave (CRWV -3.32%) have soared by triple-digit percentages since their IPOs.

If you had invested $10,000 in any one of these big winners ahead of their surges, you’d be well on the way to having a million-dollar holding in the long term, even if they produce merely average returns from here on out. But identifying which companies will be a new technology’s big winners ahead of time is difficult. If it were easy, everyone would be rich.

If you’d like to profit from the ongoing growth of AI, you could put a little bit of money into a lot of different AI stocks, or you could buy an ETF that specializes in finding generative AI opportunities. That’s what the Roundhill Generative AI & Technology ETF (CHAT -5.03%) does. Investors who are still trying to strike it rich with generative AI stocks may find it a compelling alternative to attempting to pick individual AI stocks themselves.

A person holding a phone displaying a login screen for an AI chatbot.

Image source: Getty Images.

Looking under the hood

The Roundhill team is focused on building a portfolio of companies that are actively involved in the advancement of generative AI. Its holdings include companies developing their own large language models and generative AI tools, companies providing key infrastructure for training and inference, and software companies commercializing generative AI applications.

Since it’s an ETF, investors can see exactly what the fund holds. Here are the largest holdings in the portfolio as of this writing.

  • Nvidia
  • Alphabet
  • Oracle
  • Microsoft
  • Meta Platforms
  • Broadcom
  • Tencent Holdings
  • Alibaba Group Holdings
  • ARM Holdings
  • Amazon

There aren’t a lot of surprises in the list. Perhaps the biggest standout is Arm, which is relatively small compared to the other tech giants with large weightings in the portfolio. Still, its market cap comes in at a healthy $165 billion.

In total, the ETF holds 40 stocks and several currency hedges for foreign-issued shares as of this writing. That diversification gives it a good chance of holding a few companies that will be big winners from here, which may be all it takes to produce market-beating returns. Indeed, the portfolio includes some of the best-performing stocks of 2025, including Palantir.

Since its inception in 2023, the Roundhill Generative AI & Technology ETF has returned an impressive 148% compared to a 66% total return from the S&P 500. And that’s factoring in the drag of the ETF’s 0.75% expense ratio.

Could $10,000 invested make you a millionaire?

In order to turn $10,000 into $1 million, the ETF would have to increase in value 100-fold. That may be difficult, considering the current sizes of its top holdings.

Nearly one-third of the portfolio is invested in companies with market caps exceeding $1 trillion, and the larger a company becomes, the more raw growth it takes to move the needle on its size on a percentage basis. For Nvidia to grow by even 25% now would be the equivalent of creating a whole new trillion-dollar business. And while such growth is certainly possible for some of those megacap companies, there’s still a finite amount of money in the global economy.

Meanwhile, there are only a handful of relatively small businesses in the ETF’s portfolio that could reasonably be expected to multiply in size significantly.

Additionally, many stocks in the portfolio have high valuations. Palantir shares trade for a forward P/E ratio of 280. Nebius trades for 54 times expected sales. Even CoreWeave’s sales multiple of 12.5 looks expensive, given its reliance on debt to continue growing. That said, some of the best performers of the last few years also looked expensive a few years ago (including Palantir and Nvidia). Still, the expected return of stocks with such high valuations isn’t going to be as high as those offering more compelling values.

As such, it seems unlikely the Roundhill Generative AI & Technology ETF will produce returns strong enough to turn $10,000 into $1 million over a reasonable time frame. That doesn’t mean that it’s not worth owning. For investors looking to gain exposure to the generative AI trend without going all in on one or two stocks, buying the Roundhill Generative AI & Technology ETF is a simple way to do that.

Adam Levy has positions in Alphabet, Amazon, Meta Platforms, and Microsoft. The Motley Fool has positions in and recommends Alphabet, Amazon, Meta Platforms, Microsoft, Nvidia, Oracle, Palantir Technologies, and Tencent. The Motley Fool recommends Alibaba Group, Broadcom, and Nebius Group and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.

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AMD-OpenAI Massive Artificial Intelligence (AI) Deal: What Investors Should Know

Just two weeks after its rival Nvidia struck a massive AI deal with ChatGPT owner OpenAI, AI chipmaker Advanced Micro Devices did the same.

On Monday, chipmaker Advanced Micro Devices (AMD 23.61%) announced a huge artificial intelligence (AI) strategic partnership with OpenAI, the AI model developer best known for its ChatGPT chatbot. Not only did this news send shares of AMD up a whopping 23.7%, but it also gave a boost to many other AI stocks and the market in general.

AMD’s news came exactly two weeks after its rival Nvidia (NVDA -1.10%), whose graphics processing units (GPUs) dominate the AI chip market, announced a massive deal with OpenAI.

A semiconductor with letters AI on top of it.

Image source: Getty Images.

Advanced Micro Devices-OpenAI strategic partnership

The AMD-OpenAI strategic partnership involves AMD supplying 6 gigawatts of its Instinct series GPUs to power OpenAI’s next-generation AI infrastructure. The first 1 gigawatt deployment of AMD Instinct MI450 GPUs is set to begin in the second half of 2026. That’s the same time frame involved in the Nvidia-OpenAI deal.

Moreover — and this is big for AMD — “AMD has issued OpenAI a warrant for up to 160 million shares of AMD common stock, structured to vest as specific milestones are achieved,” according to the press release. AMD has a total of about 1.62 billion shares outstanding, so 160 million shares is about 10% of total shares.

For context, before the deal was announced, AMD had a market cap of about $267 billion. Ten percent of that is $26.7 billion.

Putting 6 gigawatts in context

Six gigawatts equates to a ton of computing power. Here are a couple of stats to put 6 gigawatts of power in context:

  • New York City’s average power demand is about 6.5 gigawatts, and its peak power demand in the summer is roughly 10 to 11 gigawatts.
  • Six large-scale nuclear reactors have a power output of about 6 gigawatts.

Recap of the Nvidia-OpenAI AI deal

On Sept. 27, Nvidia announced its massive deal with OpenAI. The highlights of this strategic partnership:

  • The companies plan to deploy at least 10 gigawatts of Nvidia systems for OpenAI’s next-generation AI infrastructure.
  • The announcement stated that the systems will be used to “train and run [OpenAI’s] next generation of models on the path to deploying superintelligence.” [Emphasis mine.]
  • The first phase is targeted to come online in the second half of 2026 using the Nvidia Vera Rubin platform.
  • Nvidia plans to invest up to $100 billion in OpenAI as the new Nvidia systems are deployed.

What are the broader implications for the AI space?

This seems like a win-win deal for both AMD and OpenAI. OpenAI secures a large supply of AI-enabling GPUs over multiple years. This is no small thing, as GPUs are in great demand, so supply has been tight. That’s especially true of Nvidia’s GPUs, but no doubt, also true to some extent for AMD.

On AMD’s part, it secures a huge multiyear customer for its GPUs, and it is poised to get a hefty inflow of cash as OpenAI buys up to 10% of AMD’s shares. The partnership “is expected to deliver tens of billions of dollars in revenue for AMD,” CFO Jean Hu said in the release. Moreover, it’s “expected to be highly accretive to AMD’s non-GAAP [generally accepted accounting principles] earnings per share, ” she added.

Taken together with the recent Nvidia-OpenAI humongous AI deal and other big deals in the space, there are positive implications for the broader AI market.

The main implication, in my opinion, is that these massive AI chip and infrastructure deals should accelerate the race to move beyond generative AI to achieve artificial general intelligence (AGI) and then artificial superintelligence (ASI), as I wrote about after the Nvidia-OpenAI deal was announced. Nvidia and AMD should be two of the big beneficiaries of this race, as companies rush to buy even more of their AI-enabling GPUs.

Beth McKenna has positions in Nvidia. The Motley Fool has positions in and recommends Advanced Micro Devices and Nvidia. The Motley Fool has a disclosure policy.

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This Artificial Intelligence (AI) Stock Is Quietly Outperforming Nvidia in 2025

This company is essential to the success of Nvidia and nearly every other major chipmaker.

Nvidia is arguably the king of Wall Street these days. As the maker of high-performing graphics processing units (GPUs) that power artificial intelligence (AI) programs and large language models, Nvidia’s stock price exploded in the last three years, up nearly 1,500%. The company now boasts a market capitalization of $4.6 trillion, making it the biggest company in the world by valuation, and it seems to be a lock to reach $5 trillion soon.

While Nvidia is having another solid year in 2025, boasting a 41% gain, there’s another AI stock that’s doing even better — one that’s essential to the success of Nvidia and nearly every other major chipmaker.

Better than Nvidia

Taiwan Semiconductor Manufacturing (TSM 3.46%), better known as TSMC, is the biggest semiconductor fabricator in the world. It doesn’t design chips, but it builds them in its fabrication plants for Nvidia and other customers, including Broadcom, Advanced Micro Devices, Apple, Tesla, and more.

TSMC stock is up 45% so far this year, beating Nvidia’s year-to-date gain, and just set a new all-time high. And it’s also a better valued stock, with price-to-earnings and price-to-sales ratios that are much more appealing than Nvidia.

TSM PE Ratio Chart

TSM PE Ratio data by YCharts

Now for the icing on the cake. Nvidia’s CEO loves Taiwan Semiconductor and recently tipped his cap to TSMC. “They are a world-class foundry and support customers of diverse needs. You can’t overstate the magic that is TSMC,” Jensen Huang told reporters in September.

An image that reads "This AI stock is winning right now, here's why..."

Image source: The Motley Fool.

What makes TSMC tick?

Taiwan Semiconductor’s biggest business is making 3-nanometer and 5nm chips. The company gets 60% of its revenue from making the chips.

TSMC is one of a select few fabricators that can make the highly sought-after 3nm chips at scale, and that’s a big deal. The smaller the transistors on chips, the more that companies such as Tesla and Nvidia can cram into them to make them more powerful. And TSMC already has plans to mass-produce its 2nm process this year.

TSMC also makes semiconductors used in smartphones, making 5G communication possible for a mass audience. 5G allows wireless users to access the internet at broadband speeds, which means you can do pretty much anything you need from your laptop, tablet, or phone, including streaming high-resolution videos or content, or work remotely.

The company gets a smaller portion of its revenue from Internet of Things devices such as smart home products and wearable technology. It also makes chips for electric vehicles, driver assistance programs, and vehicle information and entertainment systems.

Revenue in the second quarter was $30.07 billion, up 44.4% from a year ago, with an outstanding net profit margin of 42.7%. And the numbers are expected to be even better next quarter, when the company is projecting revenue between $31.8 billion and $33 billion.

TSMC is also expanding rapidly, investing $165 billion into creating fabrication plants and other facilities in Arizona. That’s important to help insulate Taiwan Semiconductor from the threat of tariffs or other economic headwinds as the U.S. government seeks to bring manufacturing to American soil.

Should you buy Nvidia or TSMC?

If you’re just picking one stock to buy now, my choice would be TSMC. The company has a 70% market share in the foundry market, according to market research firm TrendForce, giving it an enormous moat. And when you consider the semiconductor industry is a $600 billion business that’s projected to reach $1 trillion annually by 2030, the market opportunity for Taiwan Semiconductor is huge.

And it also has a dividend, which you don’t often see in an AI stock. Taiwan Semiconductor’s yield of 1.2% and payout of $3.34 per share won’t make you a millionaire, but it’s loads better than the skimpy $0.04 that Nvidia pays out annually.

All in, TSMC is a cheaper stock than Nvidia and is absolutely essential to the semiconductor and AI industries. But if you have room in your portfolio, you should invest in both. Together, TSMC and Nvidia are an unstoppable two-headed AI powerhouse that can anchor any portfolio.

Patrick Sanders has positions in Nvidia. The Motley Fool has positions in and recommends Advanced Micro Devices, Apple, Nvidia, Taiwan Semiconductor Manufacturing, and Tesla. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy.

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Russia’s Hybrid War Against NATO Ramping Up: Danish Intelligence

While Danish intelligence does not see an immediate threat of a kinetic war, it claims Russia’s growing belligerence has included repeatedly threatening its warships and helicopters in Danish waters. These details are part of a new Danish intelligence threat assessment released Friday that concludes Russia is in a state of increasingly intense “hybrid war” with NATO. That is just below the threshold of armed conflict and comes at a time of mounting tensions between Moscow and the alliance.

“We have seen several incidents in the Danish straits, where Danish air force helicopters and naval vessels have been targeted by tracking radars and physically pointed at with weapons from Russian warships,” Danish Defense Intelligence Service (DDIS) Director Thomas Ahrenkiel stated at a press conference on Friday.

Danish Navy frigate HDMS Niels Juel sails during NATO Neptune Strike 2025 exercise on September 24, 2025 in the North Sea. Denmark and Norway are participating this week in NATO's Neptune Strike 25-3 military exercises, which are taking place in the Baltic Sea and North Sea and involve the US aircraft carrier Gerald Ford. (Photo by Jonathan KLEIN / AFP) (Photo by JONATHAN KLEIN/AFP via Getty Images)
Danish Navy frigate HDMS Niels Juel sails during NATO Neptune Strike 2025 exercise on September 24, 2025 in the North Sea. (Photo by Jonathan KLEIN / AFP) JONATHAN KLEIN

Russian warships had sailed on collision courses with Danish vessels during their passage through the straits, Ahrenkiel added. In addition, “a Russian warship has been anchored in Danish waters for over a week,” Reuters reported from the press conference. That suggested “possible interference from Moscow if Denmark tried to curb movements of Russia’s ‘shadow fleet’ of tankers used to circumvent Western sanctions on its oil exports imposed over its war with Ukraine.”

“Russia is using military force to try to intimidate Denmark and force it to abandon compliance with shipping rules in the Baltic Sea,” the Danish intelligence chief warned.

“Russia highly likely sees itself as being in conflict with the West, in which the hybrid means employed are kept below the threshold of armed conflict,” the report notes. “The DDIS assesses that Russia is currently conducting hybrid warfare against NATO and the West. It is highly likely that the hybrid threat from Russia against NATO will increase in the coming years.”

As examples, in addition to the aforementioned threats against its naval assets, Danish intelligence said that Russia “has deployed fighter jets to protect its shadow fleet as it carries Russian oil out of the Baltic Sea and has violated the airspace of NATO states with, for instance, fighter jets, helicopters and attack drones.” 

“The states that have been most affected by Russian airspace violations in recent months are Poland, Estonia, Finland, and Romania,” the report adds.

Russia’s hybrid war with NATO countries goes far beyond these measures, with accusations of cyber attacks, clandestine sabotage operations, widespread GPS jamming and much more.

“Since the spring of 2025, Russia’s aggressive military behavior towards NATO countries has further intensified,” according to the assessment.

Forsvarets Efterretningstjeneste (FE) har udarbejdet en vurdering af den hybride trussel mod Danmark.

FE vurderer, at Rusland for øjeblikket fører en hybrid krig mod NATO og Vesten.

Det er første gang, at FE udgiver en samlet vurdering af den hybride trussel. pic.twitter.com/2WNaNpjrAb

— Forsvarsministeriet/Danish MoD (@Forsvarsmin) October 3, 2025

The purpose of this “aggressive military behavior” is to test “NATO members’ response capabilities and [cause] concern among member states that NATO is headed towards war with Russia.”

In addition, Danish intelligence states that the threat of continued Russian military provocations and cyber attacks against NATO is classified as “high,” meaning “there are one or more actors that have the capacity for and are specifically planning attacks/harmful activity or that have already carried out or attempted attacks/harmful activity.”

Despite all this, Danish intelligence states that for now, the threat of open warfare with Russia is classified as “none,” meaning “there are no signs of a threat. There are no actors with both the capacity and intention for attacks/harmful activity.”

DDIS

Meanwhile, European officials are investigating whether the ongoing wave of reported mystery drone sightings over military installations and airports is part of the Russian hybrid warfare efforts Danish intelligence is warning about.

The latest reported incident took place over the Elsenborn military base in the East Cantons section of Belgium, on the border with Germany.

“A Belgian test aircraft designed to detect drones sighted a total of 15,” the Belgian VRT news outlet reported on Friday. “Drones were observed at various altitudes on both the Belgian and German sides of the base. Where the drones came from and who operated them is not yet clear. The Ministry of Defence is investigating the incident.”

We’ve reached out to the Belgian MoD for more details about this incident.

The night before, the Munich Airport was shut down for several hours after drones were spotted nearby, forcing the grounding of 17 flights and the diversion to other airports of another 15, Munich Airport officials explained. The airport resumed flights early Friday morning.

Before these latest incidents, several airports in Denmark and Norway were closed after drones were spotted, which leaders in Denmark characterized as an effort to sow fear in the country.

Concern about these incursions has been so high that a German Navy frigate and counter-drone equipment from several nations were rushed to Copenhagen to protect the skies during a meeting of European Union leaders.

The German Navy frigate FGS Hamburg F220 docks in Copenhagen, Denmark, on September 29, 2025, ahead of the upcoming EU summit. (Photo by Kristian Tuxen Ladegaard Berg/NurPhoto via Getty Images)
The German Navy frigate FGS Hamburg F220 docks in Copenhagen, Denmark, on September 29, 2025, ahead of the upcoming EU summit. (Photo by Kristian Tuxen Ladegaard Berg/NurPhoto) Kristian Tuxen Ladegaard Berg

In addition, the Arleigh Burke class guided missile destroyer USS Bulkeley was deployed to the NATO Baltic Sentry operation, which has expanded from protecting critical undersea infrastructure to now defending against drones. It marks the first contribution of a U.S. Navy warship to that effort.

ATLANTIC OCEAN – (May 12, 2025) The Arleigh Burke-class guided-missile destroyer USS Bulkeley (DDG 84), maneuvers into position during At-Sea Demonstration (ASD) / Formidable Shield (FS) 2025. ASD/FS 25 is the largest at-sea live-fire exercise in the European theater, hosted by U.S. 6th Fleet and executed by Naval Striking and Support Forces NATO. ASD/FS 25 is designed to enhance Allied interoperability in a joint, live-fire, Integrated Air and Missile Defense environment using NATO command and control reporting structures. (U.S. Navy photo by Mass Communication Specialist 2nd Class Jonathan Nye)
The Arleigh Burke class guided-missile destroyer USS Bulkeley (DDG 84) was recently deployed to NATO’s Baltic Sentry mission. U.S. Navy photo by Mass Communication Specialist 2nd Class Jonathan Nye Petty Officer 2nd Class Jonathan Nye

The recent Russian drone incursions into Poland and Romania and violations of Estonian airspace by three MiG-31 Foxhound interceptors have raised suspicions that Russia, which denies involvement, is behind this drone wave. However, there is no conclusive evidence, several European officials state.

“It’s possible,” that there is a Russian connection to the drone incursions, “but there are currently no concrete indications,” Belgian Defense Minister Theo Francken said. “That needs to be investigated. Personally, I think these drones are very often an example of a hybrid threat. This is a way to sow unrest. That has been Russia’s pattern for many years.”

Amid the accusations and suspicions, Russian President Vladimir Putin joked about drone incursions.

“Oh, you know, I think we’ve had enough fun with drones for now,” he joshed. “’I won’t do it anymore. I won’t go to France, Denmark or Copenhagen anymore. Where else do they fly?”

🇷🇺 Putin asked about drone incursions in Europe

Host:”What is your response to these allegations [Drone incursion into Denmark] ?”

Putin (Jokingly):”Oh, you know, I think we’ve had enough fun with drones for now. I promise, no more drone launches in Denmark. We wouldn’t want to… pic.twitter.com/8PIizlp699

— Red Panda Koala (@RedPandaKoala) October 2, 2025

As we have explained in the past, it is quite possible that many, if not most of these sightings are mistaken identity. It is a pattern that emerged last year when thousands of people claimed to see drones in the New Jersey region of the U.S. The overwhelming majority of those sightings were airplanes, planets and other benign objects in the sky.

Still, just like in the New Jersey case, we do know that a limited number of the sightings over military bases were confirmed by the government. The reality is that these drone incursions over critical facilities in Europe have been happening for years, but just how much it has exploded in recent weeks is blurred by media reports and sightings not supported by independent analysis or corroborated by sensor data.

Regardless, the drone incursion reports have rattled Europe, especially given that some had to be shot down amid an ongoing brutal war in Ukraine that is spilling over borders more frequently. That this comes as European officials are accusing Moscow of engaging in hybrid warfare speaks to the importance of finding the source of these objects.

Contact the author: [email protected]

Howard is a Senior Staff Writer for The War Zone, and a former Senior Managing Editor for Military Times. Prior to this, he covered military affairs for the Tampa Bay Times as a Senior Writer. Howard’s work has appeared in various publications including Yahoo News, RealClearDefense, and Air Force Times.




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What Is 1 of the Best Artificial Intelligence (AI) Bargains on the Market Today?

This innovation-first stock is priced for good long-term growth.

Over the past couple of years, there’s a strong case that no companies have gotten as much attention as those dealing with artificial intelligence (AI). In some cases, these are relatively new companies, while in other cases, they are established big tech stocks.

Focusing on the big tech stocks (because they’re better positioned for longevity in most cases), there’s one stock that sticks out as one of the best AI bargains on the market: Alphabet (GOOG 0.21%) (GOOGL 0.28%). At the time of writing, Alphabet is trading at 26.3 times its projected earnings over the next 12 months — which is the cheapest of all the “Magnificent Seven” stocks.

TSLA PE Ratio Chart

TSLA PE Ratio data by YCharts. PE = price-to-earnings.

Valuation alone doesn’t make a stock a buy, but it does give it more upside than downside. There isn’t as much growth and expectation priced into the stock, which could help guard against sharp pullbacks if those expectations aren’t met.

Person using a search engine on a laptop.

Image source: Getty Images.

Aside from just its valuation, Alphabet sticks out because it operates in many critical parts of the AI pipeline. Its subsidiary, DeepMind, handles AI research. It owns and operates dozens of data centers (which are needed to train and scale AI), and it has consumer AI applications, such as its generative AI tool, Gemini, and Flow, its filmmaking tool.

Being involved in the various parts of the AI pipeline is beneficial for Alphabet, because it has more control over innovation and integration and is less reliant on others.

Stefon Walters has positions in Apple and Microsoft. The Motley Fool has positions in and recommends Alphabet, Amazon, Apple, Meta Platforms, Microsoft, Nvidia, and Tesla. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.

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Quantum Artificial Intelligence (AI) Could Be the Next $10 Trillion Industry — 2 Stocks to Own Now

Quantum computing is swiftly becoming a new area of interest for artificial intelligence (AI) investors.

Over the past few years, investors have witnessed in real time how breakthroughs in artificial intelligence (AI) have sparked a new revolution in the technology sector. The next frontier — quantum computing — promises an even greater leap forward, unlocking efficiency and solving problems that strain the limits of today’s classical machines.

Together, the fusion of AI and quantum computing is expected to create trillions of dollars in economic value over the coming decades. While many companies are dabbling in quantum systems at the margins, two of the industry’s most influential players are already weaving this emerging capability into their broader strategies.

Let’s explore how Nvidia (NVDA -0.62%) and Alphabet (GOOG 0.55%) (GOOGL 0.61%) are positioning themselves to remain leaders at the cutting edge of AI’s next transformation.

Nvidia: GPUs, CUDA, and infrastructure

Nvidia’s rise throughout the AI revolution is deeply rooted in its dominance of the GPU market, where its chips have become the backbone of generative AI development. What investors may not fully realize yet is that the company’s ambitions extend beyond supplying accelerators to train large language models (LLMs). Quietly, Nvidia has been laying the groundwork for a prominent role in the quantum era.

A key part of this strategy is Nvidia’s software architecture, CUDA. CUDA includes tools designed to bridge classical computing systems with quantum-inspired research. At the moment, Nvidia’s CUDA quantum (CUDA-Q) platform is used by a number of academic institutions, as well as integrated with existing developers such as IonQ and Rigetti Computing.

This is a savvy move, as Nvidia is doing all of this without committing massive capital expenditures (capex) to build quantum machines from scratch. Instead, the company is positioning itself as the connective backbone across both hardware and software supporting the next wave of advanced computing applications.

Quantum computing reactor.

Image source: Getty Images.

Alphabet: Willow, Cirq, and DeepMind

Alphabet has carved more direct inroads into quantum computing through its Google Quantum division.

A central focus is Willow, a processor built to scale quantum workloads more efficiently. To drive adoption, Alphabet introduced Cirq — an open-source software framework that enables developers to design quantum algorithms and run them directly on Google’s infrastructure. The company’s internal research lab, DeepMind, adds another dimension that gives Alphabet the unique advantage to test quantum technologies in-house and refine them at a faster pace.

What makes this approach so compelling is that Alphabet weaves these efforts into a vertically integrated stack. The company’s hardware, software, and research converge within a single ecosystem — allowing emerging services like Google Cloud and Gemini to compete from a position of strength against entrenched rivals like Microsoft Azure and Amazon Web Services (AWS).

Are Nvidia and Alphabet good buys right now?

Nvidia and Alphabet are each building durable platforms optimized for the next phase of advanced computing.

For Nvidia, the company’s GPUs and CUDA architecture are already indispensable to AI infrastructure. Moreover, the company’s collaborations in quantum computing create additional tailwinds across both hardware and software for the data centers of tomorrow. Meanwhile, Alphabet is stitching quantum into a broader, diversified ecosystem that spans processors, software frameworks, cloud distribution, and research.

For both companies, quantum computing is not the ultimate destination, but rather a strategic layer that reinforces their long-term growth prospects — positioning each as resilient, differentiated platform businesses in an increasingly competitive landscape.

I think that each company’s early bets on quantum computing will look shrewd in hindsight as these applications evolve from research-driven environments into real-world value creation.

For investors with patience, owning shares of both Nvidia and Alphabet today offers exposure to two businesses not just benefiting from the AI boom, but actively writing the narrative of its next chapter. For these reasons, I see both stocks as no-brainer opportunities right now.

Adam Spatacco has positions in Alphabet, Amazon, Microsoft, and Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon, Microsoft, and Nvidia. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.

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This Artificial Intelligence (AI) Giant Could Increase Its $10 Billion Business 14-Fold in 5 Years

But it doesn’t come without some significant risks for investors.

Global spending on artificial intelligence (AI) is set to reach $1.5 trillion this year, according to estimates from Gartner. Even with the huge amount businesses and tech companies are already spending, that number is forecast to climb even further well into the future. The analysts at Gartner expect total spending to hit $2 trillion in 2026. Many analysts see total spending climbing through the end of the decade in order to take advantage of the massive opportunity and promises of generative AI.

One company managed to build a massive $10 billion business out of demand for artificial intelligence compute in just a few years, and it expects to capture a significant amount of market share over the next few years. In fact, management said it expects that $10 billion in annual sales to grow to $144 billion in sales within five years. And it has the contracts to back it up.

A man holding a laptop standing in front of a line of data center server racks.

Image source: Getty Images.

The massive opportunity ahead

A handful of companies are rapidly building out data centers and leasing space and equipment in order to meet the demand of tech companies training and using large language models. Some contracts from companies like OpenAI and Anthropic, two leading LLM developers, are worth tens of billions of dollars per year. And the biggest cloud computing platforms — owned by Amazon (AMZN -0.84%), Microsoft (MSFT -0.64%), and Alphabet (GOOG -0.53%) (GOOGL -0.56%) — are unable to keep up with the growing demand.

As AI companies look to diversify their compute providers, Oracle (ORCL -5.55%) has emerged as a strong alternative with excellent networking capabilities and competitive pricing. However, its Oracle Cloud Infrastructure (OCI) is lacking in scale relative to the three market leaders. That didn’t stop OpenAI from committing $300 billion to Oracle’s cloud business over five years starting in 2027.

As a result, Oracle reported a huge increase in its backlog of remaining performance obligations. The amount stood at $455 billion as of the end of the company’s first quarter, up from $137 billion at the end of the fourth quarter. While $300 billion of that is tied to OpenAI, Oracle added another $18 billion in contracts on top of that.

And management expects to sign additional contracts in the near future. It said OCI’s remaining performance obligations will likely exceed $500 billion by the end of the current quarter.

If management succeeds in growing OCI from $10 billion to $144 billion over the next five years, it’ll end the decade with a cloud business similar in size to Alphabet’s, based on current growth rates. If it can manage to earn similar operating margins as the three big providers today (20% to 37%), it could produce a huge boost to its existing earnings.

While management notes it already has the backlog to support its revenue outlook, it’s important to consider the significant risks that come with investing in Oracle stock right now.

The future is not guaranteed

Oracle burned $5.9 billion in cash over the past 12 months as it expanded OCI capacity. It took on $27 billion worth of debt over the past year, and it now holds $111 billion of debt on its balance sheet. It’ll have to take on more debt and burn more cash to build out the capacity needed to meet demand for its cloud computing business.

To put things in perspective, Microsoft is committing to $30 billion in capital expenditures for the current quarter, and it’ll likely maintain that pace throughout the year. Amazon expects to spend over $100 billion in 2025, mostly on additional compute capacity. Alphabet updated its target spend to $85 billion for the year, as demand for its cloud infrastructure continues to outstrip supply.

They all have significant backlogs, but none is as big as Oracle’s is now. Oracle plans to spend $35 billion this year, with OCI revenue of $18 billion.

Meanwhile, its three biggest competitors are producing strong positive free cash flow thanks to the fact that they already have large, established cloud businesses and massive businesses outside of cloud computing. Oracle’s legacy software business doesn’t generate nearly enough cash to keep up with the demand for AI compute.

But it’s not just the financing risk Oracle faces. It also takes on the risk of a long-term contract with OpenAI. The generative AI leader has committed to spending $30 billion on Oracle’s compute starting in 2027 and ramping up from there. But the company itself is only bringing in $13 billion in revenue this year, according to its CFO’s outlook. It’s also committed to spending $10 billion with Broadcom, not to mention its existing cloud computing deals with Microsoft and Alphabet.

It’s also unclear how profitable the OpenAI deal will be if it comes to full fruition. Oracle must have offered very attractive pricing relative to its larger competitors to attract such a big commitment. That could result in a significantly worse margin profile relative to Amazon, Microsoft, and Alphabet.

Nonetheless, shares of Oracle have now skyrocketed in price, reaching a forward PE ratio of 45 based on estimates for fiscal 2026. That’s far higher than its larger cloud competitors, making the stock a much riskier investment. If Oracle can execute, build the capacity it needs, and OpenAI holds up its end of the deal, it could be a huge winner over the next five years. But the other three cloud computing providers’ stocks look like much better values with much less risk right now.

Adam Levy has positions in Alphabet, Amazon, and Microsoft. The Motley Fool has positions in and recommends Alphabet, Amazon, Microsoft, and Oracle. The Motley Fool recommends Broadcom and Gartner and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.

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What Are the 2 Top Artificial Intelligence (AI) Stocks to Buy Right Now?

It’s not too late to benefit from the growth of AI.

Artificial intelligence (AI) stocks have outperformed the stock market by a wide margin this year. The Morningstar Global Next Generation Artificial Intelligence Index, which provides exposure to about 50 top AI companies, is up 37% in 2025 (as of Sept. 19). The S&P 500 index has increased by 13% over that same time frame.

Because of how much growth there has already been in the AI sector, most of these stocks aren’t cheap. But that doesn’t mean you’re out of luck with investment opportunities. The global AI market is projected to grow at a compound annual rate of 29% through 2032, according to research by Fortune Business Insights.

So, which companies are best positioned to capitalize on that growth? Here is a pair of AI stocks worth considering for your portfolio.

Two people standing and surveying a factory.

Image source: Getty Images.

1. Nvidia

There are plenty of AI success stories out there, but none has been bigger than Nvidia (NVDA 0.35%). It’s the top company by market cap and the first to reach a value of $4 trillion.

Nvidia’s size and the fact that it’s trading at a high valuation (39 times forward earnings) scare off some investors. However, it has consistently delivered excellent results over the last two-plus years, beating earnings expectations and seeing revenue rise by more than 50% year over year for nine consecutive quarters.

Most of that is data center revenue as tech companies invest in Nvidia graphics processing units (GPUs) for the training and inference of their AI models. Nvidia is the dominant player here — estimates put its share of the AI chip market at 85% to 90%.

Nvidia is also taking steps to expand its reach. It recently invested $5 billion to take a roughly 5% stake in Intel. Intel is the leader in CPU market share, and data centers need AI GPUs and CPUs. Intel will now be making custom CPUs for Nvidia, allowing Nvidia to advance its technology.

On a negative note, China has reportedly banned its tech companies from using Nvidia AI chips due to tensions with the U.S. That effectively cuts Nvidia off from a major market. However, trade talks between the U.S. and China are ongoing, so it remains to be seen if this is a long-term issue.

2. Meta Platforms

Meta Platforms (META -1.46%), which owns Facebook, Instagram, and several other companies, is making a significant push into AI. So far this year, CEO Mark Zuckerberg has:

  • Hired away top AI talent from rival companies to form Meta Superintelligence Labs, with pay packages reportedly as high as $300 million.
  • Invested $14.8 billion to take a 49% stake in Scale AI, a data labeling start-up.
  • Committed to investing at least $600 billion in U.S. data centers and infrastructure through 2028.

Meta is incorporating AI through various aspects of its business. It launched a Meta AI assistant and has woven generative AI tools into its existing apps, including Messenger and WhatsApp. Meta Glasses are getting an upgrade to AI smart glasses. And it now offers AI advertising tools to enhance and optimize campaigns.

Advertising is also how Meta can afford to invest so heavily in AI. Its revenue over the trailing 12 months is $179 billion, with about 98% of that coming from advertising. Ad revenue gives Meta a sizable war chest — it has also generated $50 billion in free cash flow over the last 12 months.

It hasn’t all been smooth sailing for Meta lately. The tech giant’s Meta Ray-Ban Display glasses recently failed in two live demos, leading to an awkward moment for Zuckerberg and bad publicity for Meta’s AI ambitions. However, the glasses are getting positive early reviews.

Overall, this is a business with strong financials that’s betting big on AI to enhance its products and services. It’s also not overly expensive, trading at 28 times forward earnings. With its valuation, cash flow, and AI ambitions, Meta is one of the better tech investments currently available.

Lyle Daly has positions in Nvidia. The Motley Fool has positions in and recommends Intel, Meta Platforms, and Nvidia. The Motley Fool recommends the following options: short November 2025 $21 puts on Intel. The Motley Fool has a disclosure policy.

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2 Top Artificial Intelligence (AI) Stocks Ready for a Bull Run

There’s no slowing down the artificial intelligence transition currently underway at many companies. Broadcom and Microsoft are already benefiting.

Artificial intelligence (AI) is one of the most important growth opportunities for many technology companies in recent years. Sure, some companies don’t have clear avenues to benefit from the technology and are just benefiting from the hype, but there are plenty of companies that have experienced significant growth from artificial intelligence — and also make good investments.

If you’re in the market for a few AI stock ideas, here are two that could continue to benefit from the increasing demand for artificial intelligence hardware and software.

The outline of a processor on a logic board.

Image source: Getty Images.

1. Broadcom

Broadcom (AVGO -1.23%) makes application-specific integrated circuits (ASICs) for AI data centers that are custom to client needs. The company’s XPUs have become an integral part of many AI data centers, including ones built by Meta and Alphabet.

What makes Broadcom an intriguing opportunity is that it’s not just a bet on AI processors. In addition to its AI semiconductor designs, the company also sells networking products, like switches, and its purchase of VMware a few years ago makes it a formidable software player as well. Software sales rose 17% to $6.7 billion in the third quarter (ended Aug. 3), and now account for nearly 43% of the company’s total revenue.

The result of Broadcom’s software and hardware prowess is impressive sales and earnings growth. Total revenue rose 22% in Q3 to $15.9 billion and non-GAAP earnings popped 36% to $1.69 per share. Broadcom’s AI revenue jumped 63% in the quarter to $5.2 billion, and management expects continued growth in the current quarter — with AI sales estimated to reach $6.2 billion.

Management estimates that the company’s AI revenue could reach up to $90 billion annually by 2027, which means Broadcom and its investors may have more to look forward to.

2. Microsoft

Microsoft (MSFT -0.51%) has spent the past few years implementing OpenAI‘s ChatGPT bot into its suite of software — from Microsoft 365 to GitHub — and now has millions of customers using its Copilot AI. That’s been a boon to nearly all of the company’s services, and in Q4 (ended June 30), the company’s sales rose 18% to $76 billion and non-GAAP earnings popped 24% to $3.65 per share.

As important as its software offerings are, one of the biggest AI opportunities for Microsoft comes from its cloud computing service, Azure. Microsoft CEO Satya Nadella said on the company’s Q4 earnings call that Azure surpassed $75 billion in annual revenue — a 34% increase — and that, “We continue to lead the AI infrastructure wave and took share every quarter this year.”

AI infrastructure will continue to be important for the company for years to come, considering that Goldman Sachs research estimates that global AI cloud computing revenue could reach an estimated $2 trillion by 2030. Microsoft has 20% of the cloud computing market right now, and continues to take market share away from Amazon. With its current cloud computing position and the huge potential for AI cloud sales, Microsoft will likely continue to benefit from this emerging space for years to come.

Keep this in mind when investing in AI

There are some signs that the U.S. economy is slowing down. The August jobs report was worse than expected, spurring the Federal Reserve to cut interest rates at its most recent meeting.

But even if there’s a slowdown, it’s important to keep in mind that artificial intelligence is now mission-critical for many companies. That means that it’s unlikely that there will be a significant pullback in investments or focus by companies anytime soon. While nothing is certain, Microsoft and Broadcom look poised to ride the wave of growing demand for AI hardware and services.

Chris Neiger has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Amazon, Goldman Sachs Group, Meta Platforms, and Microsoft. The Motley Fool recommends Broadcom and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.

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What Is 1 of the Best Artificial Intelligence (AI) Stocks to Buy Now?

This top AI stock is up 75% since April.

There are several great companies capitalizing on the artificial intelligence (AI) boom that would make solid stocks to buy right now. But among leading tech giants, Alphabet (GOOG 1.27%) (GOOGL 1.23%) stands out.

The stock is up over 75% since hitting a 52-week low in April, but it still trades at a reasonable valuation. With 2 billion users and one of the best enterprise cloud services available, Alphabet is well-positioned to help investors outperform the market.

A blue cloud labeled with the letters

Image source: Getty Images.

How Google is benefiting from AI

Earlier in the year, some investors were concerned about Google’s competitive position as more people started using ChatGPT and other models to look up information. This overlooked the power of Google’s Gemini AI model, which has emerged as one of the best models out there.

Gemini powers all the company’s consumer services, like Search, and it is making a difference in the company’s financial performance. Revenue from Search — the company’s largest business — grew 12% year over year in the second quarter. This momentum reflects increasing search queries with AI Overviews.

Google is also competitively positioned in cloud services. The number of new customers using Google Cloud jumped 28% quarter over quarter in Q2. Management credits this momentum to its global base of AI-optimized data centers, custom AI chips, storage, and software offerings.

It can’t be emphasized enough that Google’s AI capabilities are only possible because of the company’s substantial free cash flow. It generated $67 billion in free cash flow over the last year, while spending $67 billion in capital expenditures for technology and AI infrastructure.

Google has the resources to deliver the best AI experiences for its users, yet Alphabet stock trades at a forward price-to-earnings multiple of 25. That’s a reasonable multiple to pay for a company that just reported a 22% year-over-year increase in earnings last quarter.

John Ballard has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet. The Motley Fool has a disclosure policy.

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