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3 hours ago
- Yahoo
5 Top Tech Stocks to Buy Right Now
Nvidia and AMD look to be big AI infrastructure beneficiaries. Meta and Pinterest are using AI to improve user engagement and their ad campaigns. Alphabet's collection of strong businesses should not be overlooked. 10 stocks we like better than Nvidia › Technology stocks have helped lead the market higher over the past several years, and with the advent of artificial intelligence (AI), they look poised to continue to lead the way. Let's look at five top tech stocks catching the AI tailwinds that you might want to consider buying right now. When it comes to AI infrastructure, Nvidia (NASDAQ: NVDA) has been the clear-cut winner. Its graphics processing units (GPUs) are being used to power the massive AI data center build-out, and its growth is showing no signs of slowing down. Last quarter, the chipmaker grew its revenue by 69% year over year to $44.1 billion, with data center sales soaring 73% to $39.1 billion. That's about a ninefold jump in data center revenue from just two years ago. Nvidia took a huge 92% share in the GPU space in the first quarter. Its wide moat stems from its CUDA software platform. It pushed the software into universities and research labs early on, which made it the platform developers used in order to learn to program GPUs. And it has since built tools and libraries on top of CUDA to help speed up development and improve the performance of its chips. As AI infrastructure spending continues to ramp up, Nvidia is sure to benefit. Another company benefiting from the AI infrastructure build-out is Advanced Micro Devices (NASDAQ: AMD). Last quarter, its revenue jumped 36% year over year, while its data center business grew 57%. While a distant No. 2 to Nvidia in GPUs, the company has established itself as a leader in central processing units (CPUs) for data centers. However, its biggest opportunity is with AI inference. It's less technically demanding than AI model training, which reduces some of CUDA's advantages. This has allowed AMD to carve a niche in inference, a market that is eventually expected to become much larger than the one for training. As the leader in the CPU market and with a big inference opportunity, AMD is in a strong position. It doesn't need to take a huge share away from Nvidia; just small gains in market share will go a long way. Meta Platforms (NASDAQ: META) is becoming a digital marketing AI leader. It has created a proprietary AI model called Llama to boost user engagement. At the same time, advertisers are using it to create more effective ad campaigns and to better target users. This is leading to more ad inventory and higher ad prices. In the most recent quarter, Meta's ad impressions rose 5%, while ad prices jumped 10%. Its biggest opportunity, though, is in bringing ads to its newer platforms. It just began serving ads on its popular messaging platform WhatsApp, which has over 3 billion users. It has built out the user base of its newest social media source, Threads, to 350 million monthly users, and is just gradually introducing ads to the platform. Meta's leadership in digital advertising, combined with its AI investments and new platform expansion, sets it up for solid growth in the coming years. Despite some investor concerns over AI's potential to disrupt its search business, Alphabet (NASDAQ: GOOGL) (NASDAQ: GOOG) remains well-positioned. While search and AI continue to evolve, Google has two big advantages. The first is distribution: Its Android smartphone operating systems, Chrome browser, and Apple revenue-sharing agreement, make it the default search engine on most devices. And it has spent decades building out one of the most far-reaching ad networks in the world, which allows it to serve everything from global brands to local service providers. At the same time, the company has become a cloud computing leader. Last quarter, Google Cloud saw its revenue jump 28%, as customers used its platform to build their own AI models and tools. Investors also shouldn't ignore the company's custom AI chips, called Tensor Processing Units (TPUs). Google Cloud is using them internally to improve performance and save costs, but news recently surfaced that OpenAI is renting the chips to help power ChatGPT. The company's robotaxi business, Waymo, also has strong long-term potential. It has seen strong early demand and is now expanding into other U.S. cities. With AI, cloud computing, and robotaxis, Alphabet remains a cutting-edge technology company. Pinterest (NYSE: PINS) has leaned heavily into AI and making its platform more shoppable in recent years. These investments are starting to pay off with user engagement rising and average revenue per user (ARPU) increasing. A partnership with Google, meanwhile, has helped Pinterest better monetize its huge international user base. Now, the company is looking toward its new ad tool, Performance+, to help drive growth. It combines AI and automation to let advertisers quickly create and manage ad campaigns, while automatically handling ad targeting and bidding. With its platform improvements and Performance+, Pinterest could see strong future growth. Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 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 $697,627!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $939,655!* Now, it's worth noting Stock Advisor's total average return is 1,045% — a market-crushing outperformance compared to 178% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 30, 2025 5 Top Tech Stocks to Buy Right Now was originally published by The Motley Fool
Yahoo
3 hours ago
- Yahoo
Meta Platforms Stock Looks Cheap - Short OTM Puts for a 2% One-Month Yield
Meta Platforms (META) stock is near its recent peak, but strong free cash flow (FCF) projections could push it higher. This article will show how it could be worth more using FCF margin and FCF yield metrics. Nevertheless, in the near term, it might falter after the upcoming Q2 results. As a result, selling short out-of-the-money (OTM) META put options here might work. That way, an investor can set a lower buy-in target price and get paid a 2.0% monthly yield doing so. Unusual Options Activity: Is the iShares Russell 2000 ETF the Best Way to Play Small Caps? IBIT Covered Calls: 2 Smart Strategies for Crypto-Linked Income Conagra Brands Is Down 24% This Year. Why Applied Game Theory Suggests CAG Stock Is Worth Another Look. Get exclusive insights with the FREE Barchart Brief newsletter. Subscribe now for quick, incisive midday market analysis you won't find anywhere else. META closed at $719.01 on Wednesday, July 3, near its recent $738.09 on June 30. But it could be worth over+18.8% more at $854 per share, based on my free cash flow margin and FCF yield analysis. In my May 9 Barchart article, I showed that Meta Platforms generated a strong 57% operating cash flow (OCF) margin in Q1. However, its free cash flow (FCF) margin, after higher capex spending on AI-driven activities and investments, was just 24.4%. Moreover, Meta has raised its capex spending outlook. The range is between $64 and 72 billion, or $68 billion on average for this year. That could potentially lower its FCF margin next year. Let's look at that. First, let's project revenue and OCF margins for 2026. Analysts have been raising their revenue projections. In my last article, I showed that analysts had projected $211.68 billion for 2026. But now, Yahoo! Finance reports that 64 analysts are projecting $213.41 billion. Here is how that affects projections for operating cash flow (OCF). Let's assume that its OCF margin rises slightly to 57.5%: 57.5% x $213.41 billion 2026 revenue est. = $122.71 billion in operating cash flow (OCF) So, if Meta Platforms spends $70 billion on capex (higher than the $68 billion midpoint expected for 2025): $122.71b - $70b capex = $52.71 billion in free cash flow (FCF) That is close to the $52.311 billion in FCF it generated in the trailing 12 months (TTM) (as shown by Stock after spending just $43.7 billion on capex during that period. So, to summarize, if we slightly increase Meta's operating cash flow margin from 57% to 57.5%, but significantly increase its TTM capex spending from $43.7 billion to $70 billion, Meta Platforms should still generate the same amount of FCF next year. That means any improvement in its revenue and/or OCF margins, or a lower or stable capex spending, despite its huge AI-driven initiatives, could push META stock higher. For example, if revenue rises to $215 billion and its OCF margins rise to 58%, FCF could be almost $55 billion: $215b x 0.58 = $124.7 OCF - $70b capex = $54.7 billion FCF That could lead to a much higher price target for META stock. One way to value Meta stock is to use a FCF yield metric. For example, let's assume that the market will give META stock a 2.50% yield if Meta Platforms paid out 100% of its FCF. Here's how that works: $54.7b FCF 2026 / 0.025 = $2,188 billion market cap (i.e., $2.188 trillion) That is 21% higher than its closing market cap on July 3 of $1.808 trillion, according to Yahoo! Finance. In other words, META could be worth 21% or $870 over the next 12 months: $719.01 p/sh x 1.21 = $870 per share However, even using the lower $52.7 billion FCF estimate, META is still worth 16.6% more: $52.7b FCF / 0.025 = $2,108 b mkt cap $2,108b est. 2026 mkt cap / $1,808b mkt today = 1.166 -1 = +16.6% 1.166 x $719.01 p/ sh = $838.37 per share So, using analysts' revenue estimate and a 57.5% OCF margin, the price target is $838.37, and using a slightly higher revenue and OCF margin, it's $870. The average of these two is $854.19, or +18.8% higher than today: $854.19 / $719.01 = 1.188 -1 = +18.8% Analysts surveyed by Yahoo! Finance now have an average price target of $729.37, up from $703.41 as seen in my last Barchart article two months ago. Similarly, Barchart's mean survey price is now $724.98, higher than the prior target of $685.75. Moreover, which tracks sell-side analysts' price targets, shows that 54 analysts have an average price target of $801.36. That is much closer to my FCF-based target price of $838.37 shown above. It's also higher than the prior average of $681.45. The bottom line is that sell-side analysts agree that META stock still looks significantly undervalued. The only problem is that the stock is near its peak. It could falter after earnings come out, as many stocks do on a 'sell-on-the-news' type reaction. Therefore, one way for new investors in META stock to play this is to set a lower potential buy-in price. This can be done by selling short out-of-the-money (OTM) put options. For example, look at the August 1, 2025, expiration period, 29 days from now, and after Meta's upcoming July 30, 2025, Q2 earnings release date. It shows that a 6% lower put option strike price at $675.00 has a midpoint premium of $13.55 per put contract. That means that an investor who enters an order to 'Sell to Open' this put contract, makes an immediate 2.0% yield (i.e., $13.55/$675.00 = 0.020). That means the investor's secured cash investment of $67,500 per put contract sold short makes immediate income of $1,355. So, $1,355/$67,500 = 2.0% yield over the next 29 days. So, there is room here for META stock to fall, and the investor can still make a profit. For example, the breakeven point is 8% lower than today's price: $675-$13.55 = $661.45 breakeven point $661.45 / $719.01 price July 3 -1 = -.08 = 8% downside protection Moreover, note that the delta ratio for the strike price (as seen in the table above) is just -26%. That means that there is only a 26% chance that META stock will fall to this strike price in the next month. That is based on prior trading volatility patterns. This means that existing investors can short these puts and generate extra income without much concern that their account will be assigned to buy more shares at $675.00. That could lead to an expected return of 6% in the next 3 months, if the investor can repeat this trade every month. The bottom line here is this: (1) META stock still looks cheap today. This is based on its FCF outlook and analysts' price targets, and (2) One way to set a lower buy-in target price and get paid 2.0% every month is to short 6% out-of-the-money puts one month out in expiration. On the date of publication, Mark R. Hake, CFA did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on
Yahoo
8 hours ago
- Yahoo
The first big winners in the race to create AI superintelligence: the humans getting multi-million dollar pay packages
Nearly every day, another business luminary makes a gloomy prediction about job security in the AI era. Well-known venture capitalist Vinod Khosla recently said artificial intelligence could wipe out 80% of all jobs by 2030 while Amazon CEO Andy Jassy warned about likely job cuts at the retail giant due to automation. And yet, amid all the pessimism, one tiny group of humans has become extraordinarily valuable: Those creating AI. Many tech companies are scrambling to hire top-notch AI leaders and researchers, using multi-million dollar paychecks to entice them. The latest example of how essential some humans are in the AI era came in the last few weeks, when Facebook-parent Meta went on a spending spree to beef up its all-important AI operations. The company is betting that the infusion of new talent will jumpstart its efforts, which are said to be lagging the competition and putting tens of billions of dollars in future profits at risk. The push started with Meta CEO Mark Zuckerberg hiring Alexandr Wang, CEO of AI labeling startup Scale AI, to be his first chief AI officer, and making a $14.3 billion investment in Wang's company. Zuckerberg also recruited former GitHub (GTLB) CEO Nat Friedman to partner with Wang in leading Meta's new superintelligence lab. Just days later, Meta (META) went on another hiring blitz by poaching a number of AI researchers from ChatGPT maker OpenAI, along with employees from Google (GOOG) and Anthropic ( maker of the Claude AI assistant. 'As the pace of AI progress accelerates, developing superintelligence is coming into sight,' Zuckerberg wrote in a memo on Monday to formally announce Wang and Friedman's new roles and the opening of the superintelligence lab. 'I believe this will be the beginning of a new era for humanity, and I am fully committed to doing what it takes for Meta to lead the way.' The AI talent war between Meta and OpenAI is just an extreme example of what's happening across the tech industry. Companies large and small are fighting to recruit big-name AI leaders and their foot soldiers, readily acknowledging that developing superintelligence, or AI that's vastly smarter than humans, hinges on the work of actual humans. In their sales pitches, companies often claim AI can perform magic. But for now at least, the technology can't entirely perform its magic on itself. AI research scientists who are focused on foundational AI and making sci-fi advancements to it are considered to be at the top of this new pecking order. They oversee the training of vast general-purpose models, fine tune them, and make them more adaptable for developers to incorporate into their products. Some companies are willing to pay big money—including millions of dollars in salaries, stock options, and bonuses—for what they consider to be the top talent in that cohort. OpenAI ( CEO Sam Altman recently claimed that Meta had dangled $100 million compensation packages in front of some of his employees, and then boasted that no one of significance had accepted such an offer. However, within days, the exodus began. Ultimately, OpenAI's chief research officer, Mark Chen, erupted about it in an internal memo, Wired reported. 'I feel a visceral feeling right now, as if someone has broken into our home and stolen something,' he wrote. To keep other workers from leaving, he vowed to be 'more proactive than ever before' by 'recalibrating comp,' or compensation, and 'scoping out creative ways to recognize and reward top talent.' David Horn, head of AI at financial services company Brex, agreed that humans are essential for developing and perfecting AI at his company and others. A few individuals, he said, can have a huge impact on a company's ultimate success. 'You still need people who can tell AI what problems to solve when we're working with AI tools,' Horn said. 'What we found is that the value humans bring to a task is not necessarily putting in the effort but being able to very clearly explain what needs to be done—and also, more importantly, why.' Unlike many of the major tech companies, Brex isn't developing foundational AI. Rather, it's building on top of the super-sized models that those bigger companies produce, specifically to tailor it for the financial sector. Several layers of workers are needed to do the job, Horn said. They include those who work directly with the AI, others who manage their work and the product pipeline, and still more who set the policies, or broader strategy, for how to work with AI on particular tasks. Of course, not everyone in tech is in as big demand as AI researchers are. Because of AI, hiring is slowing in certain specialties. Software engineers, for example, are increasingly enlisting AI to help them write code. In response, some companies have slowed hiring or, like Amazon, discussed cutting jobs to save on costs. Customer service, data entry, and low level finance jobs are particularly vulnerable to advances in AI. Last week, Salesforce CEO Marc Benioff gave a sense of where humans stand in the AI era, saying that AI does up to half of the work within his company. He didn't provide any details about what he meant. And as chief salesman for Salesforce's AI products, it's clearly in his interest to talk up AI's success. But a glance at Salesforce's website shows something that Benioff didn't mention: Salesforce has dozens of job openings with AI or related terms in the title or description. 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