The recent dip in AI stocks like Nvidia and Palantir isn't a signal of weakness but a natural pause after months of aggressive growth. Markets are adjusting expectations as AI hype gives way to real earnings performance, which always creates volatility. For long-term investors, these dips are healthy entry points. The big names like Nvidia still dominate the AI infrastructure space, and Palantir's government contracts give it resilience even when sentiment cools. While timing the bottom is impossible, buying during pullbacks has historically rewarded patient investors. In a dip, I prefer established AI leaders with proven revenue streams rather than chasing smaller speculative plays. They may wobble week to week, but the long-term demand for AI makes them strong positions to hold.
Estate Lawyer | Owner & Director at Empower Wills and Estate Lawyers
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In the AI dip I prefer infrastructure over a speculative play I would invest in NextDC because AI cannot grow without data centres that provide power, cooling, and secure storage. Their contracts are long term and their expansion will be based in the major cities of Sydney, Melbourne and Perth and their services are not affected by a changing fad. I would invest 15,000 in two tranches, another 7,500 in the event of a further fall of 15 percent and hold the stock a few years. The industry is erratic, but that training gives relief. Moreover, I do not take the smaller AI names that swing and show irregular profits. I am also not inclined to make an identification of the chipper in Australia as we lack the breadth of the market in that jurisdiction. For me, NextDC would be more appropriate on my part as it can offer the required supports to the AI development.
1. What's going on with AI stocks right now and why? Short-term dips in AI stocks like Nvidia and Palantir often reflect profit-taking, macroeconomic uncertainty, or rotation into other sectors rather than a shift in AI's long-term growth trajectory. The AI sector has had an aggressive run-up over the last year, so periodic pullbacks are natural and even healthy for valuations. Investor sentiment is also reacting to interest rate expectations and upcoming earnings, which can magnify volatility in high-growth tech names. 2. Is it worth buying big Nasdaq AI stocks now or wait? For long-term investors, timing every swing is nearly impossible. If the fundamentals and growth story remain intact, dips can be entry points. For those who want to be more tactical, waiting for confirmation that the pullback has stabilized—often seen through trading volume patterns—can reduce short-term downside risk. 3. Which AI stocks look good in a dip right now and why? Beyond the giants like Nvidia and Microsoft, companies such as Palantir and UiPath offer exposure to AI-driven analytics and automation at potentially attractive entry points during dips. Both have expanding enterprise adoption and strong positioning in their niches. In the semiconductor space, AMD is also worth watching, as it continues to challenge Nvidia in AI hardware markets.
Short-term pullbacks in AI stocks often reflect investor sentiment more than business fundamentals. The sector has been on a steep growth trajectory, so even minor earnings misses, interest rate concerns, or cautious guidance can trigger sharp corrections. Essentially, the volatility comes from expectations being priced at a premium, and any perceived slowdown sparks profit-taking. Despite this, large-cap AI players like Nvidia and Palantir continue to sit at the core of the AI ecosystem, powering infrastructure and enterprise adoption. Timing the market rarely works in practice; steady accumulation during dips has historically proven more rewarding than waiting for a perfect bottom. In terms of opportunities, companies building the foundation for AI—such as Nvidia for hardware and Palantir for enterprise deployment—remain attractive in pullbacks because their roles are integral, not cyclical. Alongside them, software firms specializing in applied AI solutions for healthcare, cybersecurity, and automation are worth attention, as they combine near-term adoption with long-term scalability. These are the kind of businesses where a temporary dip often opens the door to long-term value.
Short-term dips in AI stocks often reflect broader market sentiment rather than a fundamental shift in the sector's outlook. Recent pullbacks in companies like Nvidia and Palantir are largely tied to profit-taking and rotation into other sectors after a strong rally. AI fundamentals remain strong, with continued enterprise adoption and new use cases emerging across industries. Temporary volatility tends to be more about market psychology than any weakening of long-term growth potential. For long-term investors, large-cap AI leaders often remain attractive even during selloffs. Timing the bottom perfectly is nearly impossible, but gradual accumulation during periods of weakness historically rewards patience. Nvidia's leadership in AI hardware and Palantir's unique enterprise AI platforms are backed by expanding demand, which makes them resilient beyond short-term fluctuations. Alongside these, smaller players like UiPath, which is advancing AI-driven automation, and semiconductor firms such as AMD also present opportunities when valuations dip. The key is focusing on businesses with durable competitive advantages and clear AI-driven revenue streams rather than trying to chase quick rebounds.
The recent pullback in AI stocks feels like the market is recalibrating after several weeks of sharp gains. In my experience running a tech-driven SaaS company, these dips usually reflect short-term profit-taking rather than fundamental shifts. Investors are digesting earnings, regulatory chatter, and broader tech volatility, which can temporarily exaggerate losses. I'm still confident in high-quality Nasdaq AI names, but I focus on the underlying business strength rather than timing the exact bottom. Personally, I look for companies with recurring revenue, clear AI-driven advantages, and strong execution. This week, I'm eyeing stocks like Palantir for its enterprise AI adoption and Nvidia for its GPU dominance—both offer long-term value despite short-term swings. Smaller AI players with proven SaaS models, like those serving niche industries, also become attractive when priced down, as they often rebound once adoption news hits. Patience and selective buying have worked best for me in dips.
AI stocks are going through a correction, not a collapse. Investors got ahead of themselves, pricing in years of growth before the companies could deliver. A pullback like Nvidia's 4% or Palantir's 16% isn't unusual, it's Wall Street catching its breath. Corrections like this often shake out speculators and leave steadier hands to step in. Should you buy right now? Depends on your stomach. If you're long-term, these dips are entry points. But chasing every drop can feel like catching a falling knife. Sometimes it's smarter to wait a few sessions to see if the dust settles. My personal picks during dips are Microsoft and Nvidia. Microsoft because AI is already built into their products, think Copilot across Office. Nvidia because their chips are still the gold rush gear. Both have staying power, even if prices swing short term.
One angle that most investors have not focused on is the companies that are the makers of the low-cost components that are critical to AI hardware. AEHR Test Systems is one possibility. It manufactures semiconductor test equipment which is used in silicon carbide and other chip feeding AI servers. Its machines are under 3 million dollars each but the demand remains high since chip producers require thousands of its machines to test before shipping. When the stock falls by as low as 5 percent, significant deals with EV and data center customers continue to persist, and the revenue is stable. The other rare selection is CEVA, a company that licenses AI signal processing IPs to small device makers. It no longer develops chips but collects royalties whenever its designs get into the market in the form of phones, drones, and other IoT devices. Licensing revenues tend to be a few cents per unit, but at millions of units the revenues become predictable. These types of companies tend to fly under the radar but present exposure to AI growth at much lower entry prices than the large-cap names.
This week's pullback in AI stocks has caught a lot of attention. Nvidia dropped around 4%, Palantir nearly 16%. Part of it is profit-taking, investors are cashing out after strong gains. There's also chatter about potential regulatory scrutiny and interest-rate sensitivity. Short-term swings are normal in tech-heavy sectors. Buying Nasdaq giants right now can still make sense if you have a long-term horizon. Timing the exact bottom is tricky. Sometimes waiting just one week doesn't change much, and missing the rebound can hurt more than the dip itself. For dips, I like AI leaders with strong fundamentals. Nvidia, despite the small pullback, remains dominant in GPUs and AI infrastructure. Palantir offers a unique mix of government and commercial contracts, giving it resilience. Smaller players with real AI products and solid balance sheets can also provide opportunities, but research is critical, don't chase hype.
1. What's going on with AI stocks right now? This is primarily normal profit-taking and sector rotation. After such a dramatic run-up, some investors are simply cashing in gains. It's also a reaction to broader market jitters about interest rates, which often cause a short-term pullback in tech stocks. 2. Is it worth buying big Nasdaq stocks now or should you wait? Trying to time the exact bottom is a fool's errand. If you believe in the long-term AI thesis, then a dip of a few percent is an entry point, not a stop sign. Waiting for a week might mean buying at a higher price if positive news resurfaces. 3. Which AI stocks do you like right now in a dip? I favor the essential "picks and shovels" providers. Beyond the obvious choice of Nvidia, which remains the engine for AI development, I look at a company like Adobe. Its integration of AI across its creative and marketing software creates a powerful, recurring revenue model that is deeply embedded in its users' workflows. This dip makes its valuation more attractive.
Hi there! I'm Justin Brown, co-creator of The Vessel and a longtime entrepreneur who's built multiple online businesses by leaning early into SEO and more recently, AI adoption. I'm a founder who lives in the trenches of applying these technologies. That's exactly why I think I have a useful perspective on the AI stock story. Here are my responses for your upcoming piece in Benzinga: 1. What's going on with AI stocks right now? The pullback we're seeing with Nvidia (4%) and Palantir (16%) is less about AI itself and more about overheated expectations. Markets priced AI like it would reinvent the world in a year and now investors are waking up to the fact that adoption is messy and incremental. In my case, integrating AI into my businesses boosts efficiency, but it's never a "flip the switch and double revenue" moment. The market is just recalibrating to that reality. 2. Is it worth buying the big Nasdaq names now? It's definitely worth it but with patience. I treat dips in companies like Nvidia the way I treat SEO algorithm updates: the short-term turbulence can be brutal, but the long-term trend is clear. If you believe in AI's future (and I do), these corrections are more like clearance sales than red flags. 3. Which AI stocks do I like in this dip? I favor companies that combine infrastructure strength with real-world adoption. Nvidia remains the backbone of AI compute, so any dip is an opportunity. I'm also watching service-layer players like Palantir, because while their volatility is higher, their ability to embed AI into government and enterprise systems has long-tail potential. So, based on this, i'd say that dips aren't a sign to panic, they're a sign to sharpen your conviction. If you believe AI is rewriting how industries operate, the question isn't if to buy — it's how disciplined you can be when everyone else is jittery. Thank you for considering my pitch! Cheers, Justin
With big AI/Tech stocks like Nvidia (-4%) and Palantir (-16%) losing ground this week, what's going on with AI stocks right now, and why? I think the recent dip in stock prices could be due to market volatility or profit-taking by investors. According to a recent report by MarketWatch, AI stocks have been on a strong upward trend in the past year, with the Global X Robotics & Artificial Intelligence ETF (BOTZ) gaining over 80% in the last 12 months. This rapid growth may have prompted some investors to take profits and sell off their shares, causing a temporary dip in prices. Well, investors may still be cautious about investing in AI stocks as they navigate through uncertainties and risks associated with new technologies. Do you still think it's worth it to buy the big Nasdaq stocks right now, or should investors wait a week or so to see if the selloff is for real? In my experience, trying to time the market is never a good idea. As an investor, it's important to have a long-term perspective and not let short-term fluctuations dictate your investment decisions. The recent selloff in Nasdaq stocks could be a temporary dip, and attempting to time the market could cause you to miss out on potential gains. Which AI stocks do you like right now in a dip situation, and why? Some AI stocks that I believe have a lot of potential in the long run include Nvidia, Alphabet (Google), and Amazon. These companies are leaders in the development and implementation of AI technology, and their strong financials and established market positions make them attractive investments. According to a report by Zion Market Research, the global AI market is expected to reach $190.61 billion by 2025, with significant growth opportunities for companies in the AI industry.
With big AI/Tech stocks like Nvidia (-4%) and Palantir (-16%) losing ground this week, what's going on with AI stocks right now, and why? I am seeing the recent dip in the stock prices of popular AI companies due to various factors, including profit-taking by investors who have seen significant gains in these stocks over the past year. I would point out that despite this short-term fluctuation, the long-term outlook for AI stocks remains positive. In fact, when compared to the overall stock market performance, AI stocks have been outperforming significantly. This can be seen through various indices that track the performance of AI companies. For example, the NASDAQ Artificial Intelligence Index has shown a steady upward trend over the past 5 years, with a significant increase in value compared to the S&P 500 index. Do you still think it's worth it to buy the big Nasdaq stocks right now, or should investors wait a week or so to see if the selloff is for real? I must say that investing in the stock market is always a risk, and there is no guarantee of success. In the current situation, I suggest conducting thorough research and analyzing the performance of the AI companies individually before making any investment decisions. I would point out that the stock market is heavily influenced by external factors such as global economic conditions, political events, and overall market sentiment. The best way is to diversify investments and not rely solely on one sector or company. Which AI stocks do you like right now in a dip situation, and why? I like Alphabet Inc. (GOOGL) due to its strong presence in the AI space and its consistent growth and innovation in this field. Alphabet Inc., the parent company of Google, has invested heavily in AI research and development through its subsidiary Google Brain. This has resulted in numerous successful products such as Google Assistant, Waymo self-driving cars, and Google Translate. I would point out that Alphabet's robust financials and diverse portfolio of businesses make it a stable investment in an uncertain market. According to a report by PricewaterhouseCoopers, AI is expected to contribute up to $15.7 trillion to the global economy by 2030, and Alphabet Inc. is well-positioned to be a major player in this growth.
1. AI stocks are dipping due to profit-taking after strong year-to-date rallies, rising Treasury yields, and concerns about high valuations. Investors are rotating into other sectors, and some are wary of overhyped AI expectations. Short-term volatility is normal after sharp gains, especially as markets digest economic data and Fed signals. 2. For long-term investors, buying leading Nasdaq AI stocks on dips can still be worthwhile, as secular AI growth trends remain strong. However, given recent volatility and uncertainty, waiting a few days to see if the selloff deepens could offer better entry points. Timing the bottom is difficult, so dollar-cost averaging is a prudent approach. 3. In a dip, top AI stocks to consider include: - Nvidia: Still the clear leader in AI chips, with strong demand and dominant market share. - Microsoft: Broad AI integration, strong cloud business, and partnership with OpenAI. - Alphabet Google: AI leader with deep research, cloud momentum, and diverse revenue streams. - Palantir: High growth in AI-driven data analytics for government and enterprise, though more volatile. - AMD: Gaining ground in AI chips and benefiting from industry tailwinds. - Super Micro Computer: AI server demand is fueling rapid revenue growth. These companies have proven AI capabilities, strong balance sheets, and are positioned to benefit from long-term AI adoption. Investors should focus on established leaders with real revenue and profit growth, not just hype. Always diversify and be aware that AI stocks can be volatile, especially after big run-ups.
Markets are calling timeout on AI stocks this week, and in my view it's a correction, not a collapse. Investors rushed into anything with "AI" in the name, and now we're seeing profit-taking, tempered expectations, and headline pressure from geopolitics. AI is not going anywhere. Corrections are part of the cycle, and dips create opportunity. Think back to the early internet. There was plenty of froth, but underneath it, transformational companies were being built. "AI doesn't die in corrections. It just sheds the hype so investors can spot the builders creating lasting value." So is it worth buying now, or waiting? The disciplined move is to scale in. Add partial positions over a week or two. If the market dips further you have dry powder, and if it bounces you are already in the game. Which names stand out to me? Beyond the megacaps, several core AI plays deserve the attention of investors small and large: Rigetti Computing (RGTI) - A dark horse in quantum computing, advancing scalable qubit architectures. While takeover chatter is speculative, a buyout from Big Tech cannot be ruled out. IonQ (IONQ) - The most commercially advanced quantum player, already on an acquisition spree with Oxford Ionics and others. CEO Niccolo de Masi has even suggested IonQ could one day become a multibillion-dollar target for a cloud or chip giant. D-Wave (QBTS) - Delivering real-world annealing solutions with adoption already underway. With over $800M in cash, D-Wave could acquire others, or it might itself become a target for a larger AI player. SoundHound (SOUN) - A leader in AI voice interfaces, well-positioned as conversational AI adoption accelerates. After acquiring Amelia and Allset, SoundHound's growth could make it appealing to a bigger platform. IBM (IBM) - The quiet AI veteran, combining watsonx, hybrid cloud, and quantum ambitions with blue-chip stability. IBM is not a takeover candidate, but as a frequent acquirer it has the scale to consolidate emerging AI technology. These are not meme trades. They are infrastructure and tool builders that will power AI for decades. When the sector cools for a week or two, I see it not as a warning sign, but as a chance for Main Street investors to buy high-potential AI stocks at a discount. Yes, the space is overhyped in spots. But corrections separate hype from substance. For investors willing to think long-term, this dip is an entry point, not an exit.
This week's decline in AI stocks appears driven primarily by profit-taking after extended runs, supplemented with softer-than-expected earnings guidance from some tech names, and broader market jitters about interest rates. In Nvidia's case, the decline reflects clear investor rotation and already high expectations being priced in. In Palantir's case, the steeper decline is more about valuation than results. Interestingly, Palantir reported some good AI contract wins as well. For long-term investors, we often find dips are point to enter into a position, as AI adoption is not slowing down, and core leaders also have some way of a durable moat. The veracity of market sentiment makes these types of corrections very hard to time, so taking advantage of "dollar cost averaging" over the next few weeks can balance any opportunity versus risk. If you are such a high risk investor to not consider taking advantage of a dip and prefer to wait for confirmation of support levels before acting that is reasonable. I think Nvidia (NVDA), given its position in AI hardware and ecosystem lock-in; Microsoft (MSFT), given it utilizes AI broadly across its products; and Snowflake (SNOW) given it is establishing itself as a growing AI data infrastructure play. If you are valuing smaller-capped sub-play upside, I like UiPath (PATH), with its automation-driven potential for AI adoption at what are reasonable valuations after this pullback, and prospect for further upside. Bottom line: temporary dips in quality AI names tend to be much less about the specific business fundamentals of the story and more about market sentiment, which makes them attractive entry (investment) points for the "investor with a 3-5 year investment horizon" strategy.