원문 보기
we still have 20% of our user base who haven't updated their iPhone in three and a half to four years. What do you think about what happened in Korea? I mean, I'm used to volatility, but this was a new level of volatility. There was even a hedge fund that faced margin calls on SK Hynix, Samsung, and the KOSPI index.
The KOSPI index fell by almost 11%, it seems, on Monday morning. And then it fell again the next day, maybe eight percent. And then the meeting took place. What do you think about this? After all, it is currently having its best day in history, and SK Hynix is showing record profits and 30% growth.
What kind of absurd volatility is this? Isn't that too much? And what do you say about that? Does this create the best opportunities? When you see a sale, you have to act. Yes. Listen, Niko, I go to Korea three or four times a year, so I know this market well. They are the darlings of the AI revolution when it comes to memory.
So memory is what is clearly driving this AI revolution . Regarding credit ETFs and KOSPI parabolic movements. But the main conclusion is that Korea as a market will become increasingly important to the global market, given memory, chips, and government support. You've seen them try to intervene and stabilize the situation, but this AI revolution is only in full swing.
And you know what? This is optimistic for Korea. This is optimistic for memory manufacturers. I believe we will have to go through these moments of strength testing. There is a lot of volatility, but investors just need to navigate and continue to focus on the winners. So, so far, you like all the companies we've talked about .
Is that so? We talked about Apple, Amazon, Meta, Microsoft, and Google. Do you like them all? Yes, look, they continue to be key parts of this revolution. I would say, Nicole, that the results of the reports have supported this thesis to some extent. It all comes down to numbers . I just remember being in Asia for the last 6-8 weeks: demand for chips exceeds supply by a ratio of 12 to 1.
So I just don't understand how you can be pessimistic in such conditions, given these numbers. And I have to assume you still like Micron, since you just called memory a key element of this revolution. So, I guess you like Micron. Tell me yes or no quickly because I want to ask about cybersecurity. Regarding Micron and memory— you can count them on the fingers of one hand.
You can argue about the offer, but these companies will remain big winners . Let's talk about cybersecurity, where, as you said, volumes could double in three years. What names do you like there? And my last question will be about Tesla and SpaceX. So, a brief about cybersecurity. Where are we going?
Why? With the increase in the number of agents, the expansion of the attack surface, and the development of AI , I think a golden age of cybersecurity will come. Look at CrowdStrike, Palo Alto, the major leaders and what they have achieved. I think investors continue to underestimate this sector. Last but not least : what are your predictions for Tesla and SpaceX?
I believe there is over an 80% chance that SpaceX will acquire Tesla by the end of next year. Is Tesla currently going through a period of stagnation? Yes. But they are building the physical infrastructure for AI. Listen, Rome wasn't built in a day. It will be the same here. But I believe that you can't talk about the AI revolution without Tesla and SpaceX.
Would you buy both of these stocks at current levels? I continue to believe that they are the major players in this field. And if you believe in the AI revolution, then Tesla and SpaceX will be key components of it. You're not in a Tesla car with full autopilot right now, are you? I'm in the back seat of the car.
I'm in the car in Chicago, trying to catch my flight out of O'Hare. But then again , in a year or a few years it could be a robotaxi. OK. Look, I had to make sure you were safe. We appreciate you, you are our treasure. Dan Ives, you are a highly sought-after specialist, and we want to be sure. Wall Street just answered the big question about AI.
All week long, investors have been asking the same question. Has the AI boom reached its peak? The answer from Wall Street is becoming much clearer. The answer is no. The reason for the sell-off was not due to a drop in demand. It was caused by leverage and panic. When semiconductor stocks fell, many feared a slowdown in AI spending, but after another round of reports and investor comments, this theory is quickly losing support.
The largest cloud companies are still spending aggressively . Amazon has increased capital spending plans, and Microsoft is maintaining record investments in AI. Alphabet and Meta continue to expand infrastructure, and no hyperscaler is backing down. In fact, executives say they still don't have enough computing power to meet demand.
This changes the conversation. The correction was not caused by weaker fundamentals . It was caused by a technical sale. Highly leveraged investors were forced to close positions. Margin calls hit hedge funds, and the Korean market experienced a mass liquidation. Impulse traders have rushed to the exits, and when this happens, even great companies sell.
But once the forced selling subsided, fundamentals once again took center stage, and they remain extremely strong . One discussion that briefly shook the market concerned the rise of open-source AI models. Some investors feared that cheaper AI models would reduce profits across the industry. Instead, many analysts now believe the opposite may happen.
As AI becomes cheaper to use, adoption accelerates, and lower cost means more applications. More applications require more computation, and more computation requires more chips. Whether a company chooses open source models, closed systems, or a hybrid approach, each path depends on a powerful semiconductor chipmakers will remain winners in the long run, regardless of which AI model dominates.
Memory companies could benefit even more. Modern AI systems consume huge amounts of memory: larger models, longer context windows, AI on devices, enterprise workloads. Each new usage scenario increases the demand for high-performance DRAM and advanced memory solutions. Even with billions of dollars invested in new factories, significant new capacity does not appear overnight.
Until then, the offer remains limited. Several analysts believe that AI has fundamentally changed the memory business . Historically, the memory market has followed a brutal cycle of boom and bust. Today, the demand for AI creates a much more stable source of consumption than previous technology cycles.
This does not eliminate risks. Competition will increase. China continues to invest aggressively in semiconductor manufacturing. Eventually, additional supply will emerge, but many industry experts believe that supply will remain tight in the coming years. Another important event came from Amazon. CEO Andy Jassy explained how investments in AI are expected to deliver huge financial returns, rather than simply increasing costs.
This announcement was important because for months questions had been raised about whether hundreds of billions of dollars in spending on AI would pay off. Now hyperscalers are starting to demonstrate business models. The wider adoption of AI is increasing the number of users of cloud services. More cloud users generate higher revenue, which supports even higher cycle that benefits both cloud providers and semiconductor companies.
Meanwhile, Nvidia continues to remain at the center of this ecosystem. Whether AI operates through proprietary models, open source software, enterprise deployment, or cloud services, almost every path requires a powerful computing infrastructure.
댓글 0