Tom Lee: "Buy Every Dip" (3 Brilliant Stocks To BUY on the Dip)

Tom Lee believes this recent market sell-off is a buying opportunity, not the beginning of a bear market. In fact, he says investors should be buying these dips and expects the S&P 500 to eventually climb above 8,000. In a recent interview on CNBC's Squawk Box Asia, the Fundstrat head of research and chief investment officer explains why he's staying bullish on AI, semiconductor stocks, and companies like SK Hynix despite the recent volatility, and why he thinks many investors are overreacting to the latest pullback. First, I'll play you Tom Lee's interview from CNBC. Then, I'll break down his biggest arguments, explain what I agree with, where I think investors should be cautious, and what all of this means for your portfolio. Finally, I'll reveal three stocks I believe are excellent long-term buys while they're trading at a discount. Let's hear what Tom Lee has to say. >> EM angle that I was just talking about here. Um, do you think it's really just something that was mixed together with memory trades and how the market was rethinking the picks and shovels and memory trades in South Korea, or are they coming up waking up to this reality that they actually like the US stocks and more than the rest of the world? Do they actually think that the US is exceptional in all this? >> Um, well, as you know, if you zoom out over the past year, emerging markets, especially Korea and Taiwan, have been extraordinary performers. So, it shouldn't really surprise investors, even long-term investors, that uh, we should have some profit taking or consolidation. So, uh, you know, when I look at the larger story and the secular story behind AI, to me, I'm I'm going to land in that camp that I think the sell-off, even though it seems sizable, is probably just a normal consolidation in the context of a bigger bull picture. >> Consolidation. So, you just recently said that the selling that we've seen in the last maybe 5 to 6 weeks or so in semis and memory and momentum trades, you think that's overdone. So, looking at SK Hynix is selling off right after it's a US ADR, do you think that's just really a volatile process of finding a bottom in the space? >> Uh yeah. I mean, maybe the best number to look at is year-to-date. Um Korean SK Hynix and Samsung are up. Uh they're absolutely outperforming other countries. So, I think that it is very normal to expect a month or even 2 months of selling. But, yes, in my opinion, especially when I look at US semis and US memory and US momentum stocks, I think we've we are overshot to the downside. So, we would be buying any of those dips. >> What do you make of the SK Hynix ADR story? I know it's just a single stock, but it represents really the sector story in a big way as well, AI and HBM story. But, the fact that this company, long publicly traded company in South Korea, decided to take their shares to the US, what does that tell you about the depth of the US capital market, dollar assets, and of course the US stock markets overall? >> Um I mean, I think there's several parts to that story. You know, the US stock market is huge. I mean, it is bigger than any other stock market in the world. And it's supported by a a huge and very wealthy American investor base that's still sitting on $7 of cash. So, um and and when you we look at the AI story, Korea is an is an incredibly important manufacturing partner for both China and the US. And access to that story had been very limited for US investors. They could buy the EWI you know, ETF, but now they have a chance to to own the stock directly. So, I think there's going to be mechanical um arbitrage, you know, reflecting how US demand might materialize versus Korea. Um but that's going to be an opportunity for institutional index arb and other types of funds to actually sort of stabilize the the market and the difference there. >> Tom, if you were to make a call, should we stick to uh Korea-listed SK Hynix or is the risk reward more favorable with uh the ADR, given especially that KOSPI is falling further into a bear market? >> Um I mean, I think that the answer probably is it it depends on which investor I'm speaking to, but you know, unless memory and semiconductors are no longer central to an AI story, an AI I mean, this is a massive massive industrial build that is going to last for years. Unless there's an intermodal replacement for semi and memory, there is uh no reason to be worried about Korea or SK Hynix or Samsung. So, to me, I I think all those dips are buyable. >> Mhm. And sort of staying with the crypto angle, if you look at uh some of the assets, uh the alternative assets like gold, silver, uh you know, they're all down. Um I don't know if it's just really sell everything, see how Iran story unfolds from this weekend. I'm not clearly I'm not really clear on that, but when markets go through correction, and you're actually calling for a big correction. I believe 10 to 15% correction sometime later this summer. How do these assets behave because they have really corrected when stock markets kept returning higher? >> Yeah, um you know, again, if we zoom out, gold and silver had big moments last year. You know, they unusually rose while the stock market was rising. And as you know, there was even a bit of a mania around silver and beliefs in structural shortage. And as silver and gold prices made some highs earlier this year, I think investors especially long-term holders are taking profits. So, to me, I think it is a rotation because gold and silver outperformed their role as a store of value. You know, they became risk-on assets. Um there I you know, we believe there is a lot of mounting evidence that there should be a pre-sizable normal correction in this in the US markets later this year. Uh it's part of our view that this is a three-phase market, you know, that we can get to 7,700 on the S&P, decline 10 to 15%, which is a normal drawdown, and then rally above 8,000 by year-end because of the AI story remaining intact. Uh many groups and sectors have already been enrolling corrections. So, they may still participate on the downside, but they won't necessarily lead to the downside. So, to me, uh >> Tom. >> I'm kind of in the camp that like for instance mag seven >> Right. >> may not decline as much as the broader market. >> Tom Lee begins by addressing the recent weakness we've seen in emerging markets, particularly South Korea and Taiwan, which have become incredibly important countries in the AI supply chain. The interviewer asks whether investors are beginning to abandon international markets in favor of American stocks because they believe the United States remains exceptional when it comes to technology and innovation. Tom doesn't completely buy that explanation. Instead, he reminds viewers to zoom out. One of the biggest mistakes investors make is looking only at what happened over the last few weeks while ignoring what happened over the last year. When you take that longer view, Korea and Taiwan have actually been some of the strongest performing markets because of their massive exposure to AI hardware. That's an important point. Markets rarely move in straight lines. Whenever an asset rises significantly over an extended period, profit taking becomes almost inevitable. Investors who bought early eventually lock in gains. Hedge funds rebalance portfolios. Institutions reduce exposure after huge rallies. None of that automatically means the long-term story has changed. Tom Lee views the recent decline through exactly that lens. Rather than interpreting it as the end of the AI boom, he sees it as a normal consolidation inside a much larger secular bull market. I actually think this distinction is incredibly important. Far too often investors confuse price action with fundamentals. A stock can fall 20% while the underlying business continues getting stronger. Likewise, a stock can double even while the business itself is weakening. The market doesn't always move in perfect sync with company fundamentals over shorter periods. That's why understanding the bigger picture matters. Tom then expands on this idea by talking specifically about semiconductor and memory stocks. Over the past several weeks, these companies have experienced meaningful selling pressure. Many momentum names have also struggled. The interviewer asks whether this selling has simply gone too far. Tom's answer is pretty straightforward. Yes. He believes these stocks have become oversold. Instead of seeing weakness as a reason to stay away, he views it as an opportunity to buy quality companies at lower prices. Again, notice the framework he's using. He's not saying every semiconductor stock is automatically attractive. He's saying that if the long-term AI thesis remains intact, temporary weakness should be viewed differently than a permanent deterioration in business fundamentals. That's a philosophy many legendary investors have followed for decades. When the long-term story hasn't changed, temporary volatility often creates opportunity instead of danger. Of course, the difficult part is determining whether the story has actually changed. That's where investors have to do their own research instead of simply reacting to headlines. The conversation then shifts toward one company that has become central to the AI infrastructure story, SK Hynix. This company has become one of the world's leading producers of high bandwidth memory, often referred to as HBM. These specialized memory chips have become absolutely critical for advanced AI systems because they allow graphics processors to process enormous amounts of information much faster than traditional memory. Without high bandwidth memory, many of today's AI data centers simply wouldn't perform at the levels companies expect. That is why SK Hynix has become such an important player. The interviewer asks Tom what it means that SK Hynix has introduced an American Depository Receipt, making it easier for US investors to own the company directly. Tom's answer goes beyond just discussing one stock. He argues that this highlights the enormous strength of American capital markets. The United States has the deepest and most liquid stock market in the world. There are trillions of dollars sitting in cash that can potentially flow into investments. When companies list shares that are easily accessible to American investors, they open themselves up to an enormous pool of institutional and retail capital. Tom also points out something that's easy to overlook. Korea occupies a unique position in the AI supply chain. It serves as an important manufacturing partner for both China and the United States. That means investors looking for AI exposure often want access to Korean companies because they manufacture essential components that power AI systems across the globe. I think this is one of the more fascinating themes developing right now. When most people think about artificial intelligence investing, they immediately think about companies like Nvidia or Microsoft. Those are obviously incredible businesses, but AI is much bigger than software or graphics processors. The entire ecosystem matters. Memory manufacturers, chip equipment companies, power infrastructure, cooling systems, networking hardware, data center construction. Every piece plays an important role. Sometimes the companies supplying the picks and shovels can become just as valuable as the companies selling the final product. That has been true throughout history during many technological revolutions. The interviewer then asks a practical question. Should investors buy SK Hynix shares in Korea or purchase the ADR available to American investors? Tom doesn't give a simple universal answer because every investor has different tax situations, currency exposure, and investment objectives. But what he does make very clear is his conviction about the broader industry. His argument is actually remarkably simple. As long as semiconductors and memory remain essential components of artificial intelligence, he sees little reason to become overly worried about companies like SK Hynix or Samsung. His conclusion is that these pullbacks are buying opportunities. Now, whether someone agrees with that or not depends largely on one question. Do you believe AI spending continues growing for many years? Because if the answer is yes, then demand for advanced memory chips probably remains extremely strong. If, however, AI investment suddenly slows dramatically, then many assumptions investors are currently making would need to be reconsidered. Personally, I still think we're in the early innings of AI infrastructure spending. When you look at what the largest technology companies are planning to spend on data centers over the next several years, the numbers are staggering. Billions continue flowing into AI infrastructure every quarter. As long as that capital spending remains elevated, companies throughout the semiconductor supply chain should continue benefiting even if there are periods where their stock prices become volatile. The interview then shifts toward another interesting area, gold and silver. These precious metals have struggled recently despite ongoing geopolitical uncertainty. The interviewer wonders why traditional safe haven assets have weakened. Tom again encourages investors to zoom out. Last year, gold and silver performed exceptionally well. In fact, they rose even while stocks were also rising, something that doesn't always happen. Silver even experienced periods where investors became convinced there would be structural shortages that would push prices significantly higher. Tom believes much of the recent weakness simply reflects investors taking profits after substantial gains. He even makes an interesting observation. Gold and silver temporarily stopped behaving purely as defensive assets. Instead, they started acting more like risk assets that investors chased higher. That's an important distinction because once an asset becomes crowded, profit taking becomes much more likely. Markets often rotate leadership. The strongest performers eventually cool off while capital begins flowing somewhere else. One thing I always remind myself is that no asset class outperforms forever. Leadership rotates. Technology has periods of dominance. Energy has periods of dominance. Financials have their moments. Precious metals have their cycles. Understanding those rotations is often just as important as picking the right companies. Perhaps the biggest headline from this interview comes when Tom discusses his overall outlook for the broader market. Despite remaining bullish over the long run, he continues forecasting a meaningful correction later in the year. Specifically, he believes the S&P 500 could climb toward 7,700 before experiencing a normal decline of roughly 10 to 15%. After that correction, however, he expects the market to recover and potentially finish above 8,000 by year-end. This reflects what he calls a three-phase market. Phase one is continued upside. Phase two is a healthy correction. Phase three is another advance driven by continued enthusiasm surrounding artificial intelligence. This is actually a fairly balanced perspective. Sometimes investors assume someone is either completely bullish or completely bearish. Tom's outlook sits somewhere in between. He expects volatility. He expects fear. He expects a correction, but he does not believe those events necessarily end the bull market. Instead, he sees them as part of the normal process of a longer-term advance. That's something history has shown repeatedly. Bull markets rarely move higher without interruptions. Even during some of the strongest bull markets ever recorded, investors experienced corrections that felt frightening in the moment. Looking back years later, many of those declines barely register on long-term charts. The emotional challenge is living through them while they're happening. Finally, Tom points out something that many investors may not fully appreciate. He believes numerous sectors have already experienced rolling corrections. In other words, parts of the market have already gone through painful declines even while the overall indexes remained relatively resilient. That could mean those sectors have already done much of their correcting before the broader market experiences its own pullback. He even suggests that the biggest technology companies, often referred to as the Magnificent Seven, may ultimately hold up better than the broader market during a future correction because many of them continue generating enormous cash flow while remaining at the center of the AI investment cycle. Whether that prediction proves correct remains to be seen, but it certainly reflects his continued confidence in the companies leading today's technological transformation. Overall, I think the biggest takeaway from this interview isn't necessarily whether every one of Tom Lee's predictions comes true. The bigger lesson is about perspective. Short-term volatility doesn't automatically invalidate a long-term investment thesis. Markets constantly rotate, sentiment changes quickly, and corrections are a normal part of investing. The challenge for investors is figuring out whether a decline represents a real change in fundamentals or simply another opportunity hidden behind fear. That distinction often separates successful long-term investors from those who constantly buy high and sell low. Now, let's dive in and talk about the three brilliant stocks that look like compelling buying opportunities after their recent pullbacks. The first company on today's list is SoFi Technologies, ticker symbol SOFI. Few companies have generated as much debate among investors over the past few years as SoFi. Bulls see it as one of the most disruptive financial technology companies in America, while critics argue that the company still has plenty to prove before it deserves a premium valuation. But, one thing is becoming increasingly clear. The market may have become far too focused on one short-term setback while overlooking the much bigger long-term opportunity. SoFi is not simply another online bank. The company is building what management calls a one-stop financial ecosystem. Instead of offering only checking accounts or only loans, SoFi is creating a platform where customers can borrow money, save, invest, manage their credit, refinance debt, use credit cards, and even access financial planning tools, all within one digital experience. That matters because the more financial products a customer uses, the less likely they are to leave. This creates a powerful network effect over time. Someone who only has a savings account can easily switch banks. Someone who has a checking account, investment account, personal loan, mortgage, retirement account, and credit card, all connected under one platform, is much more likely to stay. That dramatically increases customer lifetime value while lowering customer acquisition costs over time. This strategy has become one of the biggest competitive advantages in SoFi's business model. Now, let's address the elephant in the room. The stock has fallen more than 40% from its November highs. Whenever investors see a decline that large, the first question naturally becomes, what went wrong? The biggest concern centered around SoFi's technology platform business. One of its major customers, Chime, decided to discontinue using SoFi's technology platform to serve its brick-and-mortar banking customers. That decision caused platform revenue to decline 27% year-over-year during the first quarter, representing roughly a $28 million drop. On the surface, that sounds concerning, but here's where I think many investors are missing the bigger picture. Platform revenue is only one piece of SoFi's overall business. During the same quarter, the company generated approximately $1.1 billion in total revenue, representing an impressive 41% increase compared to the same period last year. That's not the kind of growth you normally associate with a company that investors are suddenly treating as broken. Even more impressive was customer growth. SoFi added another 1.1 million members during the quarter. That pushed total membership to approximately 14.7 million customers. Think about that for a second. Nearly 15 million people now trust SoFi with at least part of their financial lives. Every new customer creates additional opportunities to cross-sell products across the company's expanding ecosystem. That is one reason management continues focusing so heavily on member growth rather than simply maximizing profits in the short term. As long-term investors, that's exactly the kind of strategy we want to see. The opportunity becomes even more exciting when you consider where digital banking is headed over the next decade. Traditional banking has existed for centuries, but consumer behavior is changing rapidly. More people now expect to open accounts from their phones, apply for loans digitally, transfer money instantly, and manage every aspect of their finances through a single app. That's exactly the market SoFi was built to serve from day one. Unlike many traditional financial institutions that have spent years trying to modernize outdated technology, SoFi was designed specifically for the digital era. That gives the company a structural advantage as younger generations increasingly choose mobile-first financial services. Industry forecasts continue supporting this trend. Research suggests the global digital-only banking industry could grow at an average annual rate of roughly 36% through 2035. That's an enormous runway. If that forecast proves even partially accurate, the overall market itself could become many times larger than it is today. And since SoFi was built specifically to compete in that space, the company has an opportunity to capture meaningful market share as adoption accelerates. Another point I think investors sometimes overlook is diversification. Years ago, many people viewed SoFi primarily as a student loan company. That perception is now badly outdated. Today, the business generates revenue from lending, financial services, technology platforms, investing products, deposits, credit cards, and several other financial solutions. That diversification makes the business much more resilient than it was just a few years ago. It also gives management multiple growth engines instead of relying on a single product category. Analysts also remain optimistic about the company's outlook. Many continue projecting strong revenue growth throughout this year and into next year despite the temporary weakness in the technology platform segment. That tells us the broader business remains healthy. The market simply appears to be focusing on one negative headline instead of the complete financial picture. This happens more often than you might think. Wall Street frequently reacts aggressively to short-term disappointments. Sometimes those reactions are justified. Sometimes they create outstanding buying opportunities. The difficult part is determining which situation you're looking at. Personally, I believe SoFi deserves serious attention from long-term investors. No, it's not a risk-free investment. The company still needs to continue executing, expanding its product ecosystem, growing deposits, and proving it can consistently deliver profitable growth. But when I look beyond the next quarter and instead focus on where digital banking may be 5 or 10 years from now, I think the opportunity becomes much more compelling. The biggest winners in investing are often companies that benefit from massive secular trends. Cloud computing transformed enterprise software, streaming transformed entertainment, artificial intelligence is transforming technology, and digital banking has the potential to transform how consumers interact with financial services. If SoFi continues building relationships with millions of new customers while expanding the number of products each member uses, today's share price could eventually look very attractive in hindsight. Of course, investing is never about certainty. It's about probabilities. And in my opinion, SoFi appears to offer an attractive combination of long-term growth potential, expanding customer relationships, and exposure to one of the fastest-growing areas within financial services. That doesn't mean the stock won't remain volatile. In fact, investors should probably expect continued volatility. Growth companies often experience sharp swings in sentiment. But if the underlying business continues executing while the market focuses on temporary concerns, patient investors may ultimately be rewarded. If this resonates with you, you're exactly who this channel is for. Please hit the like button, share the video, and leave your thoughts in the comments. Subscribe to the channel so you don't miss out on the next important financial investing update. Remember to do your own research before you invest in any stock. The second company on today's list is VEEVA Systems, ticker symbol VEEV. At first glance, VEEVA might not seem as exciting as many of the high-profile technology companies that dominate financial headlines. It doesn't build smartphones. It doesn't manufacture semiconductors. It isn't competing to to the next consumer AI chatbot. But, sometimes the best long-term investments are the businesses quietly solving problems that almost nobody else can solve. That's exactly where Veeva Systems has built its competitive advantage. The company develops cloud software specifically for the life sciences industry. That may sound like a narrow niche, but it's actually one of the most valuable software markets in the world. Pharmaceutical companies and biotechnology firms operate under some of the strictest regulations on the planet. Every clinical trial, every patient interaction, every regulatory submission, every product launch, and every compliance document has to meet extremely demanding standards. Generic cloud software simply isn't designed for those requirements. Life sciences companies need software built specifically around their workflows. That's exactly what Veeva has spent years creating. Instead of trying to become everything to everyone, management focused on becoming the best solution for one very specialized industry. And that strategy has paid off in a big way. Today, many of the world's leading pharmaceutical and biotechnology companies rely on Veeva's software to manage critical parts of their daily operations. Think about what that means. This isn't software that companies can casually replace over a weekend. These platforms become deeply integrated into research, regulatory compliance, product development, quality management, commercial operations, and customer relationships. Once a pharmaceutical company builds its internal processes around Veeva's ecosystem, switching to another provider becomes extremely expensive time-consuming and operationally risky. That creates one of the strongest competitive moats any software company can have. High switching costs. Investors often hear that phrase, but it's worth understanding why it matters so much. Imagine running a global pharmaceutical company with thousands of employees spread across dozens of countries. Now, imagine replacing the software that manages many of your most important business processes. The migration alone could take months. Employees would need retraining. Historical data would need to be transferred. Regulatory documentation would need to remain fully compliant throughout the transition. The potential risks are enormous. For most customers, staying with Veeva simply makes more business sense than trying to replace it. That's exactly the type of customer relationship long-term investors should love. When customers stay for years and continue purchasing additional products, revenue becomes much more predictable. Predictable revenue often leads to stronger cash flow. And stronger cash flow gives management more flexibility to invest back into innovation. That creates a cycle that becomes increasingly difficult for competitors to break. One of the reasons I'm particularly interested in Veeva right now is because the company isn't standing still. Like nearly every major software company, Veeva has begun integrating artificial intelligence directly into its platform. But unlike companies rushing to add AI simply because it's the hottest trend, Veeva appears focused on solving real customer problems. Its new Veeva AI platform introduces intelligent AI agents embedded across its software applications. These AI tools are designed to automate repetitive work, streamline workflows, improve productivity, and help employees spend more time on higher value activities. That's a very practical use of artificial intelligence. Instead of replacing workers, it's helping them become more efficient. And in industries where speed matters, that can create tremendous value. Think about the process of bringing a new medicine to market. Every month saved during development can potentially represent millions of dollars in additional revenue. If AI helps pharmaceutical companies reduce administrative work, improve documentation, or speed up internal processes, that's a meaningful competitive advantage for both Veeva and its customers. This is another example of why I think investors sometimes underestimate companies operating behind the scenes. Consumer technology often gets the headlines. Enterprise software quietly generates recurring revenue year after year. And when that software becomes mission-critical, customer relationships can last for decades. Another reason Veeva stands out is the size of its remaining opportunity. Management estimates its total addressable market at roughly $20 billion. Yet, over the last 12 months, the company has generated approximately $3.3 billion in revenue. That's an important statistic. It tells us the company has already built a successful business, but it has only captured a fraction of its long-term opportunity. There is still plenty of room for expansion. That expansion could come from selling additional products to existing customers. It could come from winning new pharmaceutical clients. It could come from international growth. And it could come from AI-powered products that simply didn't exist a few years ago. Multiple growth drivers create flexibility. If one area slows temporarily, another can continue driving overall growth. That's exactly what investors want to see in a long-term compounder. Another factor working in Veeva's favor is the healthcare industry itself. Healthcare demand doesn't simply disappear because the economy slows down. People continue needing treatments. Pharmaceutical companies continue investing in research. Biotechnology firms continue developing new therapies. Governments continue approving new medicines. In other words, Veeva benefits from serving an industry with durable long-term demand. That doesn't make the company immune from market volatility. Its stock can certainly fluctuate, but the underlying demand for its software remains remarkably resilient. Recently, Veeva shares have experienced a meaningful pullback. As we've discussed throughout this video, market corrections often create opportunities in high-quality businesses. Sometimes investors become so focused on short-term sentiment that they forget to evaluate the actual business. Has customer demand collapsed? No. Has the company's competitive moat disappeared? No. Has the need for specialized life sciences software gone away? Absolutely not. If anything, artificial intelligence could make Veeva's platform even more valuable over time. That's why I think this recent weakness deserves a closer look from patient investors. One lesson I've learned over the years is that great businesses rarely look cheap during periods of maximum optimism. Usually, they become more attractive when uncertainty increases. That's exactly when investors need the discipline to separate emotion from fundamentals. Could Veeva remain volatile over the next few months? Absolutely. Could the stock move lower if the broader market experiences another correction? Of course. But if you're investing with a five-year or 10-year time horizon instead of a five-week time horizon, those temporary swings become much less important. What matters most is whether the business continues strengthening its competitive position. From everything we've discussed today, Veeva appears to be doing exactly that. Its deep relationships with pharmaceutical companies, high switching costs, expanding AI capabilities, recurring revenue model, and enormous remaining market opportunity all suggest this company could continue compounding shareholder value for many years. For investors looking beyond the next earnings report, Veeva Systems may represent one of the highest quality software businesses trading at a more attractive valuation following its recent decline. This video is brought to you by Value Stocks Investing Master Course. If you're looking to grow your wealth by investing in solid undervalued stocks, but not sure where to start, I created the Value Stocks Investing Master Course to teach you how to identify great companies, make smart investment decisions, and build a portfolio that lasts. Click the link in the description and pinned comments to get the course today and take control of your financial future. The third and final company on today's list is Microsoft, ticker symbol MSFT. When investors think about long-term compounders, Microsoft almost always finds its way into the conversation, and for good reason. Very few companies have successfully reinvented themselves as many times as Microsoft has. It dominated the personal computer era. It became one of the world's largest enterprise software companies. It built one of the fastest-growing cloud computing platforms on the planet. And now it has positioned itself at the center of the artificial intelligence revolution. That ability to evolve is one of Microsoft's greatest competitive strengths. Many businesses succeed because they build one great product. Microsoft succeeds because it continuously builds entirely new growth engines while strengthening the businesses it already owns. That creates a level of durability that very few companies can match. The first thing that makes Microsoft so attractive is the incredible diversity of its business. Unlike companies that depend on one product or one customer, Microsoft generates revenue from multiple high-quality segments. Its productivity software remains deeply embedded across businesses around the world. Its cloud platform continues serving organizations of every size. Its enterprise solutions help companies modernize their operations. And now artificial intelligence is becoming another powerful layer across nearly every part of the business. That diversification reduces risk. If one business segment experiences slower growth for a quarter or two, other segments can continue driving overall performance. That's one reason Microsoft has consistently delivered strong financial results over many years. Another major advantage is its customer relationships. Large organizations don't simply wake up one morning and decide to replace the software infrastructure they've relied on for years. Doing so would be incredibly expensive, disruptive, and time-consuming. That creates high switching costs. Once Microsoft becomes integrated into an organization's daily operations, it becomes very difficult to replace. Those sticky customer relationships generate recurring revenue, and recurring revenue creates predictable cash flow. Predictable cash flow allows Microsoft to continue investing billions of dollars into research, product development infrastructure and shareholder returns. That creates a powerful compounding cycle. The more cash the company generates, the more it can invest in future growth. Artificial intelligence has only strengthened Microsoft's long-term investment case. Instead of treating AI as a separate business, Microsoft is embedding intelligent capabilities across its entire ecosystem. Businesses using Microsoft software are increasingly gaining access to AI-powered tools that help automate repetitive work, summarize information, improve productivity, and assist with decision-making. This approach is important because it increases the value of products customers are already using, rather than convincing companies to purchase an entirely new platform. Microsoft can enhance existing products with AI features that customers are eager to adopt. That creates opportunities to increase revenue while improving customer retention at the same time. Cloud computing remains another enormous growth driver. As more businesses move their operations into the cloud, demand for scalable infrastructure continues increasing. Cloud services have become essential for companies looking to store data securely, run applications efficiently, and deploy AI solutions at scale. Microsoft has spent years building a cloud platform capable of serving organizations ranging from small businesses to some of the largest enterprises in the world. That long-term investment continues paying off. What's particularly impressive is how Microsoft's different businesses reinforce one another. A company using Microsoft's productivity software may also adopt its cloud platform. Once those services are integrated, adding AI-powered tools becomes a natural next step. Every additional product strengthens the customer relationship. Every stronger customer relationship creates more recurring revenue. That ecosystem effect is incredibly difficult for competitors to replicate. Another reason I continue to like Microsoft is its financial strength. The company consistently generates enormous amounts of cash. That gives management tremendous flexibility. It can invest aggressively in artificial intelligence. It can expand cloud infrastructure. It can pursue strategic acquisitions when opportunities arise. It can return capital to shareholders through dividends and share repurchases. Very few companies possess that combination of scale, profitability, and financial flexibility. From an investor's perspective, that's a significant advantage during uncertain economic environments. When markets become volatile, financially strong companies often emerge even stronger because they have the resources to continue investing while weaker competitors are forced to pull back. That's one reason Microsoft has remained remarkably resilient throughout different economic cycles. Of course, no investment is perfect. Microsoft is a large company, and because of its size, maintaining rapid growth becomes increasingly challenging. Investors also expect excellence from every earnings report. Any sign of slowing growth can create short-term volatility in the share price. But, I actually see those periods of weakness as opportunities rather than reasons to panic. History has shown that even outstanding businesses experience temporary pullbacks. The key question is whether the long-term investment thesis remains intact. In Microsoft's case, I believe it does. Artificial intelligence adoption is still in its early stages. Cloud computing continues expanding. Digital transformation remains an ongoing priority for organizations worldwide, and Microsoft's ecosystem continues becoming more valuable as additional products work together. Those are exactly the kinds of long-term trends investors should pay attention to. Another point worth considering is management's track record. Building a great company is difficult. Keeping it great for decades is even harder. Microsoft has consistently demonstrated an ability to adapt to changing technology while maintaining financial discipline. That combination gives me confidence that the company can continue navigating future technological shifts just as successfully as it has in the past. For long-term investors, that's incredibly valuable. You don't necessarily need to predict every quarterly earnings report. You simply need to identify businesses that continue creating value year after year. Microsoft has been doing exactly that for decades. Will the stock experience corrections along the way? Absolutely. Every great stock does, but temporary declines often become opportunities for patient investors willing to think in years instead of weeks. That's why Microsoft earns a place on this list of brilliant stocks to buy on the dip. When I step back and look at all three companies we've discussed today, I see three very different businesses with one thing in common. Each operates in an industry with significant long-term growth potential. Each has built meaningful competitive advantages that make it difficult for rivals to take market share. And each has experienced a pullback that gives long-term investors an opportunity to evaluate the business at a more attractive price than before. SoFi is benefiting from the continued shift toward digital banking while expanding its financial ecosystem and growing its member base at an impressive pace. Veeva Systems has become deeply embedded within the life sciences industry, creating high switching costs and strengthening its platform through artificial intelligence. Microsoft continues combining world-class software, cloud computing, and AI into one of the strongest technology ecosystems ever built. None of these stocks are guaranteed winners. Every investment carries risk. Markets will remain volatile. Economic conditions will change. Investor sentiment will swing between optimism and fear. But if these companies continue executing their long-term strategies, patient investors may be well rewarded over time. If you want exclusive stock tips, in-depth analysis, real-time trade alerts, and free investing guides, join the Stocks Galore Patreon today and take your investing game to the next level. Our members get full in-depth analysis on most of the stocks mentioned here. Head over to patreon.com/stocksgalore and become part of our growing community of smart investors. Link is in the description. Now, I'd love to hear from you. Which of these three businesses do you believe has the strongest long-term competitive advantage? Is it SoFi's expanding digital banking ecosystem, Veeva Systems' dominant position in life sciences software, or Microsoft's unmatched combination of enterprise software, cloud computing, and artificial intelligence? Let me know your thoughts in the comments below. Do not forget to like the video, share your thoughts in the comments, and subscribe so you do not miss the next important investing update. Thanks for watching and I will see you in the next one.