AI Stocks Just Got A Massive Buy Signal Micron Sandisk AMD Google SK Hynix Nvidia

[00:00:00]What if I told you the next millionaire-making AI stock opportunity was actually created by the biggest AI fear of this week? Because over the past few days, investors dumped AI stocks after brand new Chinese AI model made headlines. The market assumed one thing.

[00:00:16]If AI becomes cheaper and more efficient, companies will need fewer chips, less memory, and AI stocks could finally slow down.

[00:00:26]But here's what's fascinating. While retail investors were panicking, Wall Street started becoming even more bullish on some of the biggest AI names.

[00:00:34]Today, I'm going to be explaining exactly why. We'll break down why Micron just received another huge vote of confidence from Bank of America, why San Disk could be approaching one of the most important earning reports of the year, and why AMD, Google, SK Hynix, and Nvidia are all connected by one trend that could shape the next phase of this AI bull market. And make sure you stay until the very end because starting today, I'm also going to be sharing my own portfolio. Explain why I'm still holding around thousands in cash and liquidity, and show you exactly which AI stocks I'm patiently waiting to buy.

[00:01:12]If you enjoy videos that focus on where smart money is moving instead of chasing headlines, you'll probably enjoy this channel. So, consider dropping a like and subscribing to the channel. And now, let's start with the company that suddenly found itself at the center of this entire debate.

[00:01:28]We got Micron.

[00:01:30]So, if you could only look at the headlines this week, you would probably think Micron should have been falling.

[00:01:35]Instead, one of the Wall Street's biggest banks doubled down on the on this stock. So, what changed? According to the research, the market focused on the wrong problem. Investors saw China's Kimi K3 AI model becoming more efficient and immediately assumed that memory demand would fall.

[00:01:53]But Bank of America argues that's not how AI infrastructure works. Think about it in this way. If flying suddenly become 50% cheaper, would fewer people travel?

[00:02:05]Probably not. More people would. Bank of America believes AI works the same way.

[00:02:10]Cheaper AI allows more businesses to build AI products, which means more AI servers, more storage, and ultimately more memory, not less.

[00:02:20]That's why the bank maintained its buy rating at $1,550 price target, implying around 60% upside from the current levels.

[00:02:30]It also points out that while AI models are becoming more efficient, they're simultaneously becoming much larger, meaning memory requirements continue soaring despite improvements in computer efficiency.

[00:02:42]One of the Finance With Bear member left a comment saying, "Bear, every time the AI stocks drop, I feel like I have to sell before they fall even further."

[00:02:51]I completely understand that feeling, but sometimes the market reacts to the headlines, while institutions spend their time studying what happens after the headline. And that's exactly why the next company caught my attention.

[00:03:04]So, we're talking about SanDisk.

[00:03:06]So, if Micron tells where AI memory demand is today, SanDisk could tell us where it is heading next. And that's because August 5th might be becoming one of the biggest dates for AI investors this quarter. Here is why. First, analysts are expecting another very strong earnings report with revenue projected over $8 billion as AI driven demand for NAND storage remains extremely strong. But, the real story is in the quarter that's already finished. It's what the management says about the quarters ahead.

[00:03:40]At number two, SK Hynix recently made a statement that should make every memory investor pay attention. The company believes that AI memory demand could continue exceeding supply for years, even suggesting shortages may persist well beyond 2030.

[00:03:55]If that's true, companies like Sandisk could continue benefiting from stronger pricing for much longer than investors expected.

[00:04:03]A viewer commented last week on our on our videos, right? He said, "Bera, I feel like I already miss Sandisk because it's gone up so much." But here's something I've learned over the years. A stock doesn't become expensive just because it's higher than it was yesterday. It It becomes expensive when the businesses can no longer justify the valuation.

[00:04:25]That's exactly why this upcoming earnings report matters so much. Because if management once again proves that demand remains stronger than supply, Wall Street may have to raise expectations all over again.

[00:04:37]And before we move over to the next stock, which is AMD, a quick thank you to everyone supporting the Finance with Bera membership.

[00:04:44]My members here on YouTube get to see my personal portfolio, every stock I'm buying, selling, along with the reasoning behind every move. If you'd like to invest alongside me and see exactly how I'm positioning my own money, you can check it out using the link below.

[00:04:58]Or directly join me at Finance with Bera. Now, let's see why today's AMD announcement could be much bigger than most investors realize.

[00:05:07]So up till now, we've been talking about the companies supplying the AI memory.

[00:05:11]Now, we're going to be jumping over to the company that's trying to become much bigger player in the AI chip race. And today's announcement for AMD is a perfect example of why AI spending cycle is far from over.

[00:05:25]Here's what happened. AMD announced its plans to invest up to 5 billion into Anthropic, while also supplying the company with tens of billions of dollars worth of AI servers over the coming years. That is a huge deal because it tells us something much bigger than just another partnership. Number one, AI companies still can't get enough of computing power.

[00:05:46]Anthropic openly said that the access to compute is essential for keeping cloud competitive.

[00:05:53]If one of the biggest AI companies is locking in in hardware years in advance, it doesn't exactly sound like AI demand is slowing down.

[00:06:02]Number two, AMD isn't trying to beat Nvidia overnight. Instead, it's building long-term relationships with one of the biggest AI developers. We already saw AMD partner with OpenAI, and now Anthropic joins that list. That's how market share is built over time.

[00:06:19]A Finance With Bear member recently asked me, "Bera, do I have to choose between AMD or Nvidia in our previous video?" Sometimes investors think too narrowly. The AI market is becoming so large that multiple companies can win at the same time.

[00:06:34]The real question isn't who wins the next quarter. It's who keeps winning over the next 5 years. But if there's one company whose earnings could decide whether this AI rally continues, it's not AMD. We are jumping over to Google, cuz Google reports earnings this week.

[00:06:51]And believe it or not, I think this could be the most important earning reports for almost every AI stock that we have discussed in today's video. Not because of YouTube, not because of search, but because of one number, which is capital expenditure. Here's why that matters. Number one, AI promises are nice. AI spending is what moves the stock. Every additional billion dollars that Google invests into AI infrastructure eventually flows somewhere. Some of it goes to Nvidia, some of it goes to AMD, some of it goes to Micron. Some goes to storage companies like SanDisk. That's why Wall Street will be watching Google's AI spending plans far more closely than advertising revenue.

[00:07:31]Number two, the earning reports could answer the biggest questions investors have today. Are hyperscalers still spending aggressively on AI?

[00:07:40]Or are they finally starting to slow down?

[00:07:43]If Google raises AI capex again, it reinforces the entire AI infrastructure story.

[00:07:49]If spending disappoints, the semiconductor sector could become volatile very quickly. And you heard it first at Finance with Berra.

[00:07:57]One of our viewer in our previous video commented that Berra always panics before earnings because I never know whether to buy or sell.

[00:08:05]I feel that, too. But over time, I've learned something very important, ladies and gentlemen.

[00:08:10]One earnings report rarely changes a great business. What changes business is when the long-term trend changes. And right now, Wall Street is trying to figure out exactly that.

[00:08:21]Fortunately, one company may have already given us the answer. That's right. We are jumping to SK Hynix. Cuz if I had to pick one comment from all the research I read this week, it would be what SK Hynix had to say about the future of AI memory because it completely changes how investors think about the sector. Here's what stood out.

[00:08:40]And number one, SK Hynix believes that AI memory demand could exceed supply well beyond 2030. Think about that.

[00:08:47]While investors are worried about what happens over the next few months, one of the world's largest memory manufacturers is talking about shortages lasting for years.

[00:08:56]Number two, AI isn't using less memory.

[00:09:00]It's using different memory.

[00:09:03]So, every larger model, every AI agent, every reasoning model, even longer context window, right? Needs faster and larger amounts of memory. That's why SK Hynix expects AI memory demand to continue accelerating despite efficiency improvements. Number three, this changes the investment thesis. So, instead of asking which AI chatbot will win, maybe investors should also ask who sells the infrastructure that every AI company needs.

[00:09:32]Because whether it's OpenAI, Anthropic, Google, Meta, or xAI, They all need memory. They all need storage, and they all need chips. That's why companies like Micron, SanDisk, SK Hynix remain at the center of this AI story.

[00:09:47]But, here's where I want you to leave with one final thought before my final verdict, right?

[00:09:52]Infrastructure companies can only keep growing if someone continues buying that infrastructure. That brings us to the biggest AI company in the world, which is Nvidia.

[00:10:02]So, after everything we have covered today, we covered Micron, SanDisk, AMD, Google, SK Hynix. One company sits right at the middle of all of it. It's Nvidia.

[00:10:12]And I actually think that Nvidia investors are asking the wrong question.

[00:10:16]Most people keep asking, "Can Nvidia keep growing?"

[00:10:19]But, I think the better question is, "Can the entire AI infrastructure market keep expanding?"

[00:10:24]Because if the answer is yes, Nvidia doesn't need to win every single dollar.

[00:10:29]It simply needs AI market itself to become much bigger. Here's why. Number one, every major AI company is still spending aggressively. AMD just announced another massive AI partnership. Google's CapEx is under microscope for this coming earnings.

[00:10:45]Memory companies continue talking about shortages. None of those headlines suggest AI investment is slowing down.

[00:10:52]They actually suggest competition is accelerating. And number two, efficiency is not the enemy of Nvidia. We've already seen markets panic over deep seek. Now, investors are talking about Kimi K3. Tomorrow, it'll be probably another AI model.

[00:11:07]But, history has taught us something.

[00:11:09]When tech becomes cheaper, demand demand usually explodes.

[00:11:14]Cheaper cloud computing created more cloud spending.

[00:11:17]Cheaper internet created more internet usage. Cheaper smartphones created billions of users. So, it's entirely possible that cheaper AI creates far more AI demand, which ultimately benefits the companies supplying the infrastructure.

[00:11:32]That's exactly why I believe investors should spend less time reacting to headlines and more time following where the capital is actually flowing.

[00:11:40]After reading all of this week's research, here is my biggest takeaway and my final verdict and also I'll be sharing my portfolio.

[00:11:49]So, if I had to summarize this entire week in one sentence, it would be this.

[00:11:53]The AI story has not become weaker. It's simply becoming much bigger. Every headline this week looked different, right? Think about Micron, Sandisk, AMD, Google, SK Hynix, Nvidia, but they were all connected by the exact same theme.

[00:12:07]The world's biggest companies are still spending billions of dollars building AI infrastructure. That's why long-term conviction has not changed. Now, let me quickly show you my portfolio.

[00:12:18]The first thing you'll probably notice is Vera. Where are all the AI stocks?

[00:12:22]That's a fair question. I still believe AI will be one of the biggest investment opportunities over the next decade, but right now I'm choosing patience over excitement.

[00:12:31]There is current geopolitical risk that is again rising. So, I'm currently having around $136,000 sitting in cash.

[00:12:39]Not because I'm bearish, but because I see cash as buying power. If companies like Nvidia, AMD, Micron, or even Amazon and Meta give us a meaningful correction, I want to be ready. Until then, I still have AI exposure through ETFs such as AIQ, BOTZ, which has all Micron, Nvidia, SK Hynix, and all the stocks in it.

[00:13:00]Consider VOO, VUA, that I already got, while positions like United Health and Gold help me reduce my overall portfolio volatility.

[00:13:08]For me, successful investing isn't about being fully invested all the time. It's about being prepared when the opportunity arrives.

[00:13:16]So, if you enjoyed today's video, don't forget to go ahead and drop a like and subscribe because every week we'll continue breaking down where smart money is moving before it becomes obvious. So, thank you so much for watching and I'll see you guys in the next one.