원문 보기
a five to six-fold multiplier for the rest of the technology sector. This only confirms my point: we are now moving into second, third, and fourth derivatives of AI. I think investors continue to significantly underestimate the scale of what this will look like in terms of earnings and fundamental development over the next 12-18 months, which is why we are so bullish on this stage of the stock.
We think about supply and demand, and you focus on supply. I see companies saying they can't even keep up with demand. What really defines this AI cycle for you? Yes, and next week we will be in Korea. The supply-demand ratio for chips is currently 13 to 1 . If you are a company that has developed a strategic AI initiative and given it the green light today.
You won't implement it until the end of next year, summer, or, say, December of next year because of the backlog of orders. That means Nvidia, AMD, Microsoft, as well as Alphabet, Amazon, and we've already mentioned names like Palantir and cybersecurity companies. This is the golden age of technology, and for the first time in 30 years, the US has overtaken China in the technology sector.
So, when I saw your technology bets for 2027 in the middle of the week. I know you track 49 companies. Somewhere around 50 or less, you have a list of “Ives 30,” but you’ve narrowed it down to five tech favorites. These are names that people should write down, I guess. Nvidia, Microsoft, Palantir, Apple, CrowdStrike .
Nvidia, let's dwell on each of them for a few seconds. Nvidia, Microsoft. First, Nvidia investors are underestimating earnings by, I think, 20%. This is a stock for which we have set a target price of $300, but it could arguably go much higher, as physical AI and the true next phase of the cycle have n't even begun yet .
And if you take Microsoft, then this is completely their territory in terms of corporate infrastructure. The results of Azure audits are simply amazing. This is a stock whose price may be preceded by a six, and potentially even a seven. And this again applies to chips and hyperscalers. Palantir remains our favorite software asset, and I think it could reach a trillion-dollar market cap within the next two to three years.
And if you think about it, the surface area expands, the agents expand. It's optimistic for cybersecurity, CrowdStrike, of course, Palo Alto, you know, are in the spotlight as beneficiaries. And when it comes to the consumer AI revolution, Apple, Cupertino, I mean, they're the toll collectors on the AI highway.
And I don't think that's taken into account. I think this will add $75 per share to the value of the company. What do you think about the fact that you just called Apple a toll collector. John Turnus is now at the helm, I'm curious to hear what you think, how he's handling it. We also heard some reports today that they are cutting back on components for the 18th model, possibly due to weak demand.
We're getting Duo soon. It will be available for pre- order, yes, a foldable phone. And that we might even have a MacBook with a touchscreen. How is John Turnus doing? What about some of these specific products ? Well, first of all, if, you know, if I had a dollar for every report over the last 4 years about a so-called iPhone supply shortage that didn't come true, I would have a lot more money today.
So, the bottom line is that this confirms my point: I believe that iPhone 18 performance will be significantly higher than expected. So I disagree with some of the things we've seen in the supply chain. And I think when it comes to Ternus, its legacy will be defined by this chapter about AI, about AI-enabled devices.
I think 20% of the world's population will eventually have access to AI through an Apple device. And I think it's unfolding as if they're becoming a real giant in what I think they're going to do in the next phase of the technology cycle . You said that AI would identify him as a leader. What exactly?
You said you were waiting for the next phase. What is this? I mean, in the end, they really cook, you know, obviously deliver it. Finally, they really have an AI solution from a strategy perspective. You know, Gemini is definitely one of the key pieces as they're building this out now. But I just view it as an established base.
You're going to monetize 1.5 billion iPhones, 2.5 billion iOS devices . Think about the App Store. Think about the functionality that will eventually appear on the phone. Consumer AI revolution, Apple, okay, did they stumble for a few years? Yes. But now you can be late when you have such an established base.
And I just think that's not factored into the stock at its current level. Palantir software is your favorite. How high can Palantir go? This is a name you chose a long time ago, so where do you think it's going and why? I think it could double in the next 2 or 3 years. I mean, I think this is the case where the free cash flow story is growing and more businesses are moving to AI and what they've done with AIP on their oncology and you know, and But first I'm joined by Fox Business correspondent Madison Alworth, Fox Business contributor Jonathan Hoenig and Fox Business senior correspondent Charlie Gasparino.
And Charlie, I want to start with you on this . Yes. The question of the moment is all about AI safety. The president has created a task force to weigh how far the government should go with AI restrictions. This came after some of the biggest AI companies pledged to control their own development, but AI stocks also helped push markets to records.
Can self-regulation really work when everyone has an incentive to cross the finish line first? Well, I think it might. And first, let's be completely clear. Um, that froth you see in AI stocks won't last forever. Mhm. There will definitely be a commoditization of this technology as more and more people compete for the best technology, the best type of AI, the best bot, the best muse.
Muse is the latest AI invention to appear on Facebook. So, you get commoditization. You will have to, prices will fall. Mhm. These stocks will not perform so well. Some AI companies are going bankrupt. This is exactly what happened during the dot-com crash. But think about what happened next. Google, Microsoft.
You name it...well, Microsoft has already been there, I have to say. Google, Facebook, I can go on and on. You know, we had, we had Amazon. We had, we had a technological revolution that made our lives better. This will happen here too. This is where it gets interesting, and I think where the moment of truth comes with these, you know, AI geeks trying to shape public policy.
They, Sam Altman and Dario Amodei. Is that how his name is pronounced ? Amodei. Amodei. I have to, I have to pronounce the Italian surname correctly, right? Um, they shouldn't shape public policy. They have their own interests, they have a conflict of interest, they are the first in this matter, which means they have an advantage over everyone else.
They have But Charlie, they, they compete. To Taylor, I mean these companies are competing. And Taylor, you said who would get to the finish line first? They don't want to compete. You see, this is what they want to stop. They want to stop innovation. And here is my final argument. regulation. Well, because they, they would like regulations, big banks like regulations.
Don't you think Jamie Diamond likes regulations? What I'm trying to say is that regulation creates a moat where the market leaders win and all the other companies can. But let's be, let's be completely frank. If we don't develop this technology, we won't be able to fix its shortcomings. Okay, there are , there are shortcomings.
There are problems. And I'll just quickly, I'll just quickly say that the market will reward the company that creates the most reliable, most affordable, safest product. That's right. So when you say they control themselves, it sounds like they, they're getting out of control. The government still enforces contracts and protects the rights of individuals, but let companies innovate.
This is not innovation, not bureaucratic. Yes, yes, but crimes still exist. Yes. And, but we, but we already see these companies doing these kinds of things. There's no doubt that AI will be the most transformative technology in our lives, but we're already seeing them, you know, I would say, committing crimes.
Now we say when an Anthropic agent hacks a company , it sounds like " Anthropic agent hacked XYZ." But the word "agent" can be omitted. It's Anthropic hacking this company. I use OpenAI every day. If I used ChatGPT to hack the Australian government, I would be behind bars. We don't see it now because everything is in the testing phase and they are putting it off, claiming that the system is operating outside of limits, but we have laws regarding these types of regulations.
We do n't see this yet . And lastly: when it comes to these companies, you need to think about what they want. They want to make a lot of money, and how can that not happen? Competition and lawsuits. So regulation prevents things like open- scale models from becoming a more significant force in the industry.
Now, yes, the best models and prices will be coming down, but the models are heavily subsidized. We have seen tokenization rates before, with companies encouraging their employees to use them as much as possible. Tokens are expensive. And so when we stop subsidizing these different subscription levels.
Open AI or models with open weights are becoming much more attractive. So I think they want, they're afraid of open-source models, and I think they... If you're interested in Nvidia stock analysis, AI, and the forces driving Wall Street, be sure to subscribe to the channel. We break down the biggest market events and explain what they could mean for the future of technology.
The AI boom is creating extraordinary opportunities. But the biggest question for investors now is whether the market is still underestimating future growth, or whether expectations have become too optimistic. Look at Micron. The company's shares have already risen by approximately 432% over the past year.
And according to the market commentary that we study. However, even after such massive growth, some investors believe the memory chip giant still has room to grow. And their argument boils down to a critical factor. AI needs memory, and the industry is struggling to produce enough of it. As AI models become more complex, the computational infrastructure behind them becomes increasingly demanding.
Companies need powerful processors, but those processors also need high-performance memory to perform productively. Without sufficient memory, even the most advanced AI systems will not be able to reach their full power. And that's why memory has become such an important part of the AI investment story.
Micron benefits from this demand, while supply constraints create a favorable environment for memory manufacturers. The company could also get another boost from the next PC refresh cycle. As consumers and businesses buy more AI-capable computers, demand for advanced memory could expand beyond the data center market .
The investment thesis becomes even more interesting when you consider Micron's financial condition. The discussion involved approximately $68.3 billion in net cash, underscoring the company's ability to participate in a growing market. Of course, stocks that have already more than quadrupled in value can experience significant volatility .
The real question is whether future earnings can continue to grow fast enough to support the valuation. And Micron isn't the only company attracting attention. Nvidia remains at the center of the AI infrastructure boom. As for Nvidia, some analysts believe the company's long-term trajectory goes beyond today's data center spending, especially with the development of physical AI, robotics, and automation systems .
One bullish analyst reaffirmed a $300 price target, arguing that the next stage of the AI cycle could create additional upside potential. An important difference is that the current AI market is still largely focused on building infrastructure. The next phase may involve using this infrastructure in more industries.
Imagine AI systems that control machines, industry, process data, assist in complex physical tasks, and power automation technologies. Such applications can require enormous computing power, which will significantly expand Nvidia's capabilities beyond the current generation of AI programs. Microsoft is another company that has every chance of benefiting.
Its Azure cloud platform gives businesses access to the computing infrastructure needed to implement AI at scale. As enterprise clients integrate AI into their operations, demand for cloud capacity and related services is likely to continue to grow. But the possibilities are not limited to chips and cloud computing.
Cybersecurity companies could also benefit as AI agents become more prevalent. Over time, these agents will be able to perform complex workflows, access sensitive information, and interact with multiple business applications. And this creates a new challenge for security. Companies will need tools to monitor these systems, control their permissions, and prevent unauthorized activity.
As AI becomes more widespread, cybersecurity may become an increasingly important part of AI infrastructure. Winners could include chipmakers, memory manufacturers, networking companies, cloud providers, cybersecurity firms and software companies. Now let's consider one of the most unexpected developments.
SpaceX is increasingly being discussed in the context of AI infrastructure. Market observers highlighted reports of a funding attempt of approximately $14 billion involving Nvidia chips, which is linked to broader infrastructure ambitions. The bigger idea is that SpaceX could eventually become something more than just a space and launch company.
Its technological capabilities, data assets, and AI ambitions can support a much broader computing business. This doesn't guarantee that the company will become another hyperscaler, but it demonstrates how AI infrastructure is attracting capital from outside the traditional tech sector. And this brings us to an important question.
If the opportunities are so great, should investors simply buy tech stocks every time the market goes through a correction? The optimistic argument is that AI represents a multi-year investment cycle that could last a decade or longer. From this perspective, short-term market volatility does not mean that long-term opportunity has disappeared.
Comments 0