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Globe and Mail
2 hours ago
- Globe and Mail
Microsoft, Apple, Amazon, and Meta Just Gave Nvidia Investors Great News
Key Points Nvidia's top-tier clients are investing huge amounts of money in AI development, and they're partnering with Nvidia. Several large tech stocks reported strong earnings last week. Nvidia reports at the end of the month and it tends to beat guidance. 10 stocks we like better than Nvidia › Last week was a busy one for tech followers. Meta Platforms (NASDAQ: META), Microsoft (NASDAQ: MSFT), Amazon (NASDAQ: AMZN), and Apple (NASDAQ: AAPL) all reported second-quarter earnings, and while they were mostly positive in different ways, artificial intelligence (AI) continued to be a strong trend. That's great news for Nvidia (NASDAQ: NVDA) investors. Let's see what's happening and why investors should get excited about what Nvidia will have to say when it reports quarterly earnings later this month. Winning with AI AI has become an enormous growth driver for tech companies, and really all kinds of companies. It unlocks productivity and aids in creativity in ways that make it essential if a company doesn't want to be left behind. Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now. Learn More » Amazon said that its AI business through the Amazon Web Services (AWS) cloud division continues to grow at triple digits year over year, "with more demand than we have supplied for at the moment." It's launching all sorts of new features as demand grows and changes, and releasing powerful new tools aimed at developers creating large language models and in need of the highest-power AI chips. It also boasted that it rolled out new EC2 instances, a type of virtual server on the AWS cloud supported by new Nvidia Blackwell "super chips," the most powerful graphics processing units (GPUs) on AWS. Amazon spent $31.4 billion on capital expenditures, which it says is a reasonable estimate for the back half of the year. Although that could be in many parts of the business, it said the AI business is where most of it is going. That means it could be spending even more than the original $100 billion it said it would spend in 2025. Microsoft boasted that its Azure cloud business is grabbing market share, up 34% year over year in the 2024 fiscal fourth quarter (ended June 30), and that it now has 400 data centers, the most of any other cloud business. Management highlighted that while there's industry talk about the first gigawatt or multi-gigawatt data centers, it launched two gigawatts of power in its data centers over the past 12 months, and it's scaling faster than the competition. At Meta, CEO Mark Zuckerberg discussed many exciting developments in AI, including the launch of Meta Superintelligence Labs, which combines all of the company's AI efforts, and progress on upgrades to its Llama LLMs. In April, Nvidia announced its own involvement in the new Llama developments. Zuckerberg said Meta is working on the next generation of products "that will push the frontier in the next year or so." Meta has made headlines over the last few weeks as it crafts a team of AI specialists it's been pulling from rival companies. Apple continues to disappoint, or at least confuse, investors with its AI developments. It's taking its time to develop an AI infrastructure that rivals the competition, and it's questionable whether or not it's losing ground or if it's going to eventually release something different and special, which is its signature. Management said it's making substantial investments in AI and that its capital expenditures are going to increase. Although investors seemed disappointed in Apple's AI updates, there's no question that it provided an excellent report, beating expectations on the top and bottom lines, and it's likely to report progress in Apple Intelligence over the coming quarters. Driving AI The common denominator here is Nvidia, which partners with all of these companies. It provides the power for Amazon's and Microsoft's clientele to develop potent LLMs and AI agents, and they also use Nvidia GPUs for the data centers that drive their own LLMs. Meta uses Nvidia's GPUs for its own LLMs and AI agents, and Apple partners with Nvidia for its AI business as well. Nvidia is guiding for sales to increase about 50% over last year in the fiscal second quarter, which it will report on Aug. 27. Its quarterly results usually beat guidance, but with the success and continued capital investments of its top-tier clients, it's very likely that it will beat sales guidance and give shareholders a strong outlook. Should you invest $1,000 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 $653,427!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,119,863!* Now, it's worth noting Stock Advisor's total average return is 1,060% — a market-crushing outperformance compared to 182% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 4, 2025 Jennifer Saibil has positions in Apple. The Motley Fool has positions in and recommends Amazon, Apple, Meta Platforms, 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.
Globe and Mail
2 hours ago
- Globe and Mail
The Best AI ETF to Invest $1,000 In Right Now
Key Points This popular ETF has heavy exposure to some of artificial intelligence (AI)'s biggest beneficiaries. It's hard to argue with the more than fivefold total return in the past decade. Gaining broad diversification to the AI revolution gives investors peace of mind. 10 stocks we like better than Invesco QQQ Trust › You've become familiar with the artificial intelligence (AI) boom by now. Companies are investing huge amounts of capital to build out the infrastructure to power AI models. Users continue to navigate to chatbots for information. And investors want to find ways to make money from this trend. One option is to choose individual stocks. However, this is time-consuming, and it may require skills that you simply don't possess. Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now. Continue » Another, easier path is to find an exchange-traded fund (ETF) to put some money in. This passive approach can provide diversified exposure to the most powerful secular theme in recent years. Here's the best AI ETF to invest $1,000 in right now. Know what you own The Invesco QQQ Trust (NASDAQ: QQQ) is a wonderful choice for investors who want to bet on AI. This ETF tracks the performance of the Nasdaq-100, which contains the 100 biggest nonfinancial companies that trade on the Nasdaq exchange. It's a more concentrated index than the S&P 500 (SNPINDEX: ^GSPC). It's critical for investors to understand what exactly they'd be owning if they add the Invesco QQQ Trust to their portfolios. To be clear, this ETF provides a lot of exposure to the AI trend. A quick look at the top positions will prove this point. The largest holding is Nvidia, which commands 10.2% of the ETF. There has been no greater beneficiary of all the AI spending happening than this business, which provides the graphics-processing units that power AI model training. Nvidia shares are up a whopping 1,490% in the past five years (as of Aug. 5). Additionally, Microsoft, Amazon, and Alphabet combined make up 19.5% of the Invesco QQQ Trust. These three businesses operate the largest cloud computing platforms in the world. They're helping build out the infrastructure layer for other companies to develop their own AI applications. Besides AI, the Invesco QQQ Trust gives investors exposure to other secular trends shaping our economy. Tech-driven themes like e-commerce, digital payments, digital advertising, and streaming entertainment will also have an impact on this ETF's performance as we look ahead. Stellar performance at a cheap price In the past 10 years, the Invesco QQQ Trust has generated a total return of 447%. On an annualized basis, this translates to a superb 18.5% gain. A $1,000 investment in August 2015 would be worth $5,470 today. This performance is well ahead of what investors would have achieved had they bought an ETF that tracks the S&P 500, which had a total return of 261% in the last 10 years. It's important to compare the Invesco QQQ Trust to a well-known ETF product that has grown in popularity in the past several years. The Ark Innovation ETF, run by famed investor Cathie Wood, focuses on "disruptive innovation." Like the Invesco QQQ Trust, it emphasizes betting on big tech trends. But in the last 10 years, it has significantly underperformed the QQQ. And even worse, its expense ratio of 0.75% is nearly four times that of the Invesco QQQ Trust's 0.20%. This is very difficult to overlook, and it speaks to the allure of putting money to work in a passive investment vehicle. While the past decade's return has been spectacular, it's impossible to know what the future will hold. However, it's a smart idea to consider investing $1,000 in the QQQ today. As the AI revolution plays out, investors will have peace of mind knowing that they own the companies that have been, and will continue to be, direct beneficiaries of this game-changing technology. Should you invest $1,000 in Invesco QQQ Trust right now? Before you buy stock in Invesco QQQ Trust, 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 Invesco QQQ Trust 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 $653,427!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,119,863!* Now, it's worth noting Stock Advisor's total average return is 1,060% — a market-crushing outperformance compared to 182% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 4, 2025 Neil Patel has positions in Invesco QQQ Trust. 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.
Globe and Mail
3 hours ago
- Globe and Mail
AI Is on Sale: 2 Stocks Worth Buying Before the Next Surge
Key Points One of the companies discussed in this article is using AI to win a bigger share of the lucrative digital advertising market. The other company in focus in this piece is enabling the AI revolution through its semiconductor manufacturing equipment, and it seems well-positioned to accelerate its growth. 10 stocks we like better than Meta Platforms › Artificial intelligence (AI) is projected to have a profound impact on the global economy in the long run by driving up productivity levels, spurring customers and businesses to spend money on AI-related applications. According to market research firm IDC, AI could account for 3.5%, or almost $20 trillion, of the global gross domestic product (GDP) by the end of the decade. This explains why investors have been betting big on AI stocks over the past three years, and that's why many of the names benefiting from the rapid adoption of this technology are now trading at expensive multiples. Hardware giants such as Nvidia and Broadcom sport rich earnings multiples, while software specialists such as Palantir and Snowflake are also expensive. However, if you have missed the AI-fueled rally in shares of the above-mentioned companies in the past year, it would be a good time to take a closer look at Meta Platforms (NASDAQ: META) and Lam Research (NASDAQ: LRCX). These companies are making the most of the global AI rollout, and importantly, they are trading at attractive multiples right now. Let's look at the reasons why buying these two AI stocks right now could turn out to be a smart long-term move. 1. Meta Platforms AI is turning out to be a nice catalyst for digital advertising giant Meta Platforms, which has been offering its AI-powered advertising tools to advertisers and brands to improve audience targeting and reduce costs simultaneously. On the company's latest earnings conference call, management pointed out that AI tools have led to a 5% jump in ad conversions on Instagram, along with a 3% improvement on Facebook. Moreover, Meta's users are now spending more time on its apps thanks to AI-powered content recommendations. The time users spent on Facebook and Instagram increased by 5% and 6%, respectively, in the previous quarter. These factors explain why Meta reported a solid increase of 22%, to $47.5 billion, in its Q2 revenue. Its bottom-line growth was even better, with adjusted earnings per share jumping by 38% year over year to $7.14 per share. The numbers crushed Wall Street's expectations, fueling a big jump in Meta's stock price following the release of its results on July 30. Meta benefited from a 9% year-over-year jump in the average price per ad served during the quarter. Also, the AI-driven improvement in user engagement led to an 11% increase in ad impressions delivered by the company in the previous quarter. Additionally, more advertisers on Meta's platform are now using its generative AI ad tools to create and optimize the performance of their campaigns. Meta says that almost 2 million advertisers are now using its AI video generation tools, while the adoption of its text generation tools is also improving. Looking forward, Meta's AI ad tools are likely to be adopted by more advertisers, as the company reports they significantly boost advertising returns. A study conducted by the company earlier this year revealed that its AI advertising tools are delivering a "22% improvement in return on ad spend for advertisers." It won't be surprising to see advertisers funneling those savings back into Meta's advertising solutions to reach a bigger audience, thereby leading to further growth in the social media giant's revenue and earnings. As such, it is easy to see why analysts have increased their earnings growth expectations for Meta. META EPS Estimates for Current Fiscal Year data by YCharts. EPS = earnings per share. The best part is that investors can buy this tech stock at an extremely attractive 27 times earnings, which is lower than the tech-laden Nasdaq-100 index's earnings multiple of almost 33. Buying Meta at this valuation looks like a no-brainer, as the company can gain a bigger share of the digital ad market thanks to the AI-powered gains it is delivering to advertisers. 2. Lam Research Semiconductors are powering the AI revolution. Complex chip systems capable of tackling huge workloads are necessary to train and deploy AI models in data centers. This is why companies such as Nvidia, Broadcom, AMD, and Taiwan Semiconductor Manufacturing Company (TSMC) have seen healthy growth in their revenue and earnings in the past couple of years. However, the chips that the companies mentioned above design and fabricate wouldn't have been possible without the semiconductor manufacturing equipment sold by the likes of Lam Research. The company sells wafer and fabrication equipment (WFE) to foundries such as TSMC and Intel and to memory manufacturers like Samsung, Micron, and SK Hynix. These companies have been increasing their capital expenditure budgets to make more AI-focused chips. Unsurprisingly, industry association SEMI is projecting a 6.2% increase in WFE spending in 2025, followed by a bigger jump of 10.2% in 2026. It is worth noting that SEMI increased its WFE spending guidance last month. The good part is that Lam is already benefiting from the improved spending on semiconductor equipment. The company released its fiscal 2025 results on July 30. It reported a 23% year-over-year increase in annual revenue to $18.4 billion. Its diluted earnings per share increased at a faster pace of 43% to $4.15 per share last fiscal year. The stronger WFE spending forecast going forward explains why Lam's outlook was a solid one. It is expecting $5.2 billion in revenue in the current quarter, which is well ahead of the $4.63 billion consensus estimate. That would translate into a year-over-year increase of 25% in its top line. Lam seems capable of sustaining this healthy momentum throughout the year on the back of an increase in AI-focused semiconductor capacity. As such, don't be surprised to see Lam's revenue growth in the current fiscal year exceeding the 8% increase that analysts are projecting. The following chart tells us that Wall Street analysts expect Lam to clock healthy double-digit earnings growth rates. That looks reasonable, considering the 24% annual growth that the AI chip market is expected to clock over the next five years, which should ideally lead to more investments in semiconductor manufacturing capacity. LRCX EPS Estimates for Current Fiscal Year data by YCharts. EPS = earnings per share. In the end, there is a possibility that Lam will grow at a stronger pace than Wall Street's expectations in the long run, and this should pave the way for more upside in this AI stock. With Lam trading at just 23 times trailing earnings, investors are getting a great deal on this stock right now, and they may not want to miss it, considering the AI-fueled gains it could deliver. Should you invest $1,000 in Meta Platforms right now? Before you buy stock in Meta Platforms, 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 Meta Platforms 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 $636,563!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,108,033!* Now, it's worth noting Stock Advisor's total average return is 1,047% — a market-crushing outperformance compared to 181% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 4, 2025 Harsh Chauhan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Intel, Lam Research, Meta Platforms, Nvidia, Palantir Technologies, Snowflake, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Broadcom and recommends the following options: short August 2025 $24 calls on Intel. The Motley Fool has a disclosure policy.
