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But wait. The media likes to report on the negative because it gets attention, or at least that's what they think. When I see their numbers, I have to question them. But I am an exception. I'm also concerned about what Michael Linton, Corning's CEO, said in an interview last week: that we will inevitably oversaturate the market.
Sorry, double negative. How will we know when to stop if the demand is so huge? Why do we even have to think about this now? However, again, I don't see this glut happening anytime soon . So why not have memory maker stocks in your portfolio ? As I said at our investment club meeting last Thursday, you should watch the recording.
Old skeptics always say that the phrase "this time it's different" is the most dangerous, because nothing really changes. And that's why Seagate, Western Digital, Sandisk, and Micron won't be able to change their nature. But this approach has scared you away from some of the most incredible returns I've seen in my career.
These are the same people who would never buy a Caterpillar. They would say : "I told you so." When Cisco reported and gave a weaker forecast, instead of thinking about a buying opportunity, how I feel. I would buy Cisco right now because of this negative. I don't consider Caterpillar to be a cyclical company at all today.
By the way, their conclusion is again those old skeptics who remember the crash, you know, that crazy hedge fund thing. Not crazy, he's just an over- leveraged hedge fund manager. They say he wasn't overly credited. They simply said he picked the wrong stocks. I'm saying that you have to free yourself from these limitations and understand that sometimes things really are different.
Sometimes the opportunity is too big and you can't afford not to take advantage of it. No, it's not as silly as it seems. Oh, we " sell in May and run away." This is very " smart". But this whole move to data centers has created a “ gold rush” that will turn many formerly cyclical stocks into secular growth winners .
This is a very rare metamorphosis, but it does happen. Data centers, as we know from Amazon's experience, can become profit centers. The opportunities for these companies are too grand to even consider curbing their expansion. There's too much money at stake, which means they need these components. Ask the Gynanthropes about it .
The best part is that with the exception of Nvidia, and perhaps AMD, these memory chip manufacturers are perhaps the most essential to this entire infrastructure. Musk is right. Memory has become a " bottleneck," and these four companies, well, you know what? This is pretty good if it stays that way .
Of course, it's not their fault that the product is in such demand. In short, I say: own at least one. We chose Micron for the investment trust because of its growth, but others are less risky because they simply continue to return money to shareholders through share buybacks. Ultimately, these movements are real, and while I admit I'm not the first , I don't really think I'm too late.
Hey, why do n't we go to Tony's in my home state of New Jersey? Tony. So, what do you think about Honeywell? Okay, Honeywell, I feel like I'm just being ripped to shreds here. I thought the division would be useful. Honeywell Aerospace was a complete disaster and I don't blame myself, I blame management.
Although I don't know why I should have trusted them. But Honeywell, regular Honeywell, listen, it's Maker Ports that does a good job. I'm saying when that happens, when someone else downgrades and she drops to 220, then I'll tell you to buy her. Although I own it. Bill from Massachusetts, Bill. Sean, Sean, even when I have problems with my phone, you do everything you can to get through to me .
I'm a member of the club and I really like it, bro. Dude, I'm glad to hear that , Sean. Congratulations too. Club, we had a pretty good meeting last week and I'm glad you're a member of the club. I would like others to join. Okay, what's new? Jim, being a member of the club is a pleasure. I just wanted to thank you for Vertiv Holdings, and I wanted to buy some more.
What do you think, bro? Um, I think Vertiv is going to have a very, very strong year, and I'm not going to argue with you . I think the order book is incredibly solid. Let's move on to Andrew from Ohio. Andrew. How are you, Buia, Jim ? Buya, Andrew. What is happening? So, Microsoft has obviously already priced in a bunch of AI benefits.
At these levels, should we buy, hold, or perhaps it's time to take profits? OK. Now in the short term you can lock in a profit because the stock has gone up due to a spike. And I don't like parabolic movements. In the long run, I think I made a mistake, and I'll tell you why: that quarter was so great that I had to change my opinion from a moderate supporter to a more ardent one.
And Satya Nadella and Amy Goode are simply unbeatable . What do you say here? Let's move on to John from California. John. Congratulations. John, how are you? My limit is $88. I like it. Thank you. I did n't even know I was alive then. That's good. What's new? In April, you talked about Abbott Labs.
Labs. I thought you thought they were being punished. I did my research. They reached 81. I went in for 84. What should I do with what I have now? Yes, people think that this acquisition, well, you know, this acquisition might not be very successful. I disagree. I said Abbott is good. It's a shame we didn't buy them for our investment portfolio.
We had several pharmaceutical promotions . These didn't make it into the queue. They are only worth 20 times the profit. That's still too cheap for Abbott. I would wait. OK. This move towards data centers caused a real " gold rush" in the stock market. And you know what? I don't think it's too late to put on your steel- toed boots and jump into this game.
Of course? Just do your research. Choose wisely. Listen to the club. We have a pretty good analysis from Jeff Marks. In today's Money program: Airbnb shares have been rising rapidly recently. So what's behind this growth? I am going to take a closer look at this tourism sector. Then, as I mentioned, we are seeing a strong recovery in stocks, but how sustainable is it?
Well, I'll break down the graphs to figure it out. You also called and asked about the promotions, which I promised to get back to you about. Now I'm fulfilling my part of the bargain. What about yours ? My detailed breakdown of some of the names that confused me during preparation. And stay with Kramer.
Don't miss a second of Mad Money. Subscribe. Nvidia just made a move that could be much bigger of open-source AI model developers . And this is n't just another purchase of an AI company by Nvidia. Perhaps Nvidia wants to make sure it has a place at every important level of the AI stack. landscape is changing.
Open Source, OpenAI, Anthropic, Google, and other leading AI developers are increasingly turning to solely on companies to build the biggest AI models, Nvidia is moving deeper into the ecosystem where developers directly discover, build, and deploy the enterprise customers. Think of it as a massive meeting center for the open source AI community.
And now Nvidia wants to own a much larger share of this center. could lose some of its hardware demand. through the Nvidia-connected ecosystem, the more opportunities Nvidia has to sell compute, networking, software, and infrastructure. And this is the flywheel of development. create more applications, more applications create more demand for compute, and more compute ultimately means more for Nvidia's infrastructure.
There's another reason why this is important: open-source AI can significantly increase the total maller communities don't necessarily need billions of dollars to train their own advanced model from scratch. Instead, they can take based on them. And this can accelerate the adoption of technologies by businesses.
And Nvidia wants to establish itself at the center of all this expansion. But there is a competitive nuance. Amazon, Google, Microsoft— they're all developing their own chips. Hyperscalers seek greater control over infrastructure cost Nvidia hardware even as it develops alternatives. And 's trying to make it harder to avoid.
Another point: the implementation of AI is still at a very early stage . The industry is still seeing cheaper models drive an explosion in token usage , huge infrastructure costs, and rapid hardware improvements. And this means that it is still difficult a few years. But Nvidia is clearly preparing for different scenarios .
If closed AI models dominate, Nvidia will provide the infrastructure. If open models explode, Nvidia will have a deeper presence there. If enterprises aggressively adopt AI , Nvidia will have already has a foothold there.
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