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the latest round, despite the company holding back the release of the new iteration of ChatGPT 6, 6.1, due to the risks it poses to society. How is this possible? Simply, the culture turned against these people and products , and the supporters were unprepared . They don't know what to say. Although there is no empirical evidence that jobs are being lost due to AI.
They did not demonstrate a performance gain. We know that many leaders are now saying that we can stop an existential threat through engineering. Extremely smart people like Jensen Huang, George Kurtzman from CrowdStrike, Nikesh Arora from Palo Alto Networks, who is with the president today, Todd McKinnon from Okta.
They all proposed serious solutions that are ignored by those who predict doom from AI. It doesn't matter, because when the CEO of the most valuable private company, Anthropic, makes it clear that his business could destroy us all, it's hard to fix. Listen, I'm not a panicker. You know, I'm optimistic about AI, but companies need to start telling better stories.
Tonight we have Dina Powell McCormick, President of Meta, to demonstrate the positive side, and for me it was a real breath of fresh air. Maybe it will work for you too. Meta seeks to reduce electricity rates where it hosts its data centers. She collaborates with small businesses, helping them grow.
It offers bonuses to teachers, and they are quite large. She has video to back up her words and challenges other hyperscalers to do the same. But will they do it? Muse by Meta might be the best new tool for scaling your small business that I've heard of in years. We will invite a farmer to share how his business is growing thanks to Meta's Muse product.
Will anyone listen? What about the main question: when will we all die if we continue to fund Anthropic, and what if the system gets out of control? I admit there are risks here, but why not add a little moderation? Why not say, "Okay, I can quote the Lincoln Tunnel scene from Stephen King's Standoff, but also acknowledge that they're slowing things down so the product doesn't backfire, because there are real cybersecurity solutions that could have prevented a big Hugging Face event." I...I'm talking about the Hugging Face incident.
The same one that Chamat was talking about, where he apparently said that this wouldn't happen . This wouldn't have happened if it were up to him . Now we have a president who says, "to hell with the fuses, full speed ahead." He believes that self-regulation is sufficient, although the experience of private business self-regulation is not that impressive.
So, think of tobacco, opioids, cars, fossil fuels. The president's main contribution today: he renamed artificial intelligence to superintelligence. AI becomes SI, it is morally binding. For some reason, I do n't think the pessimists would agree with this now. Can you imagine what will happen after the midterm elections in November, in which the Democrats look confident?
If the Democrats take the House of Representatives, you better get used to hearing that the time of the SI oligarchs is over. We could very well see a " witch hunt" in Congress, which could begin with today's dinner guest list. Listen, we've already done this in our country. We can always repeat this.
Can this narrative still be saved ? You be the judge of yourself when you listen to Metis and Chamat McCormick and wonder what will happen if the rest of the industry follows suit. If we lose the narrative, if the war continues, October could be a very difficult month, and a Democratic victory will not improve the narrative about AI, excuse me, AI .
Here is the main conclusion. It shouldn't have happened this way. This wasn't meant to turn into a nightmare where the ultra-rich demand their own, but it is a new narrative, and it will be hard to break even if rates stop rising as new economic data finally points to a slowdown. Grant from New Mexico, Grante.
Good afternoon, Mr. Kramer. Um, this is Grant from New Mexico, I'm 65 years old, I live comfortably on a military pension, and my goal is to make money to pass on to my children, and I have cash right now that I want to put to work. I opened a position in Capital One earlier this year and am considering either increasing it now or perhaps opening a new position in Bank of New York Mellon.
I also own Goldman Sachs stock and want to increase that position as it falls into the mid-800s. Thank you. Well, Ken, first of all , thank you for your service , and I think you're doing absolutely the right thing. Leaving money to children at the age of 65 is very smart. I like all your ideas. The one that I think is the most questionable, but could turn things around if we see a bond rally—and maybe anything—is Goldman Sachs.
It has dropped significantly and I think it works incredibly well. I think David Solomon achieved a 4x return there on total return , which I like to use. So, people. AI companies need to come ... They need to be open. They must become better. Otherwise , I think we're in for a tough October if interest rates continue to rise.
Oh, man, I want to... And now it's time for the "Options" section. We're joined by Tom White, Senior Options Expert, to break down the chart in more detail. So, Nvidia is on the verge of another success. It's just milestone after milestone. Tom, good morning, tell us about the trends on this graph. Good morning, Diane.
I would like to first provide some context on Nvidia using my first chart—a three-year weekly chart. It gives an idea of where we came from: three years ago, the stock was trading below $40. We have grown by more than 425% in the last three years. You mentioned that stocks hit an all-time high yesterday, up about 28% year-to-date.
Now let's narrow the focus and look at a shorter period. We will look at the daily chart for one year. Remember, the stock has been growing well this year, but it is only recently that we have seen this growth, when the price has returned to historical highs, having been in a consolidation zone between $190 and $210 for months.
It was in the middle of summer, when we couldn't move uphill. It has been trading below the 50- day moving average, the 200-day average has repeatedly served as support over the past 9 months, but we are back above the 210 breakout level, and are now moving confidently higher. If we look at the momentum, we see the RSI index at the bottom.
It is currently at around 67. So, a little below the overbought zone, but the momentum on the chart is still pointing upwards. Now let's look at the trading volume profile. What are the support and resistance zones here ? Since we broke the 210 level, as I said, it was a serious resistance area. We have overcome these levels.
Now, higher, around $221, right near the 50-day moving average. This will likely become a solid base of support. We have other zones, around $226, but there are no clear benchmarks above the current level. It looks like the stock will open around $241 in the premarket, which would be a new all-time high, Dayano.
Of course. What approach do we take for the example deal, Tom? Well, during this growth, we saw a decrease in volatility levels. The earnings report will not be until November 17th . So, we have some time to spare. So I chose a strategy where we can stick to a certain direction but partially offset the costs by using the options market prices over a period of time to understand where we think the stock will go.
If you are optimistic, here is an example of a deal where I am looking at a weekly cycle through October 30th. There are 24 days left until expiration, meaning I have 3.5 weeks left on this position. I buy a call option with a strike price of 240, which is already in the money. This is the optimistic part of the strategy.
And against it, I sell a call option with a strike price of 255. So, this is an optimistic call spread of $15. I will float about $6 in debit if the stock opens at around $241. That would be my risk— $600 on the spread, which could go up to $15 or $1,500 if we go above 250 or hit 255. So, there's a pretty good risk- reward ratio here.
If I pay $6 in debit, my breakeven point is $246. It is above this mark that the stock price should rise. That's less than 2% above the current price, which would see the stock open at around $241. So I don't need that big of a percentage move to reach breakeven. If you look at it this way, buying such directional vertical spreads, why did I choose to sell a call option with a strike price of 255?
The thing is that the options market for the weekly cycle until October 30 is predicting a movement of approximately plus or minus $16. This actually coincides with the strike price of 255. So, a pretty good risk-reward ratio when buying. Before we begin: If you want to gain deeper market insights, exclusive analytics, membership.
Your support helps us continue to provide in-depth insights into the companies that are changing the global economy. Nvidia is approaching a valuation that would have seemed extraordinary just a few years ago . The company is inching closer to a $6 trillion market cap, and its shares have risen for five straight sessions, approaching record highs .
Yet the most interesting thing about this rally is not the stock price itself . This is growing evidence that the AI investment cycle is expanding into areas that many investors may have underestimated. Raymond James analyst Simon Leopold remains particularly bullish on Nvidia with a price target of $515.
His argument centers on a simple idea. Artificial intelligence is becoming an industrial- scale transformation, and Nvidia has established itself as one of the companies making this transformation possible. But this opportunity comes with a complex set of challenges. The industry needs more computing power, more memory, more electricity, and increasingly complex networks.
And the companies building this infrastructure are competing for limited resources, spending extraordinary amounts of money. So the question is not how much AI hardware Nvidia can sell. The bigger question is how big this whole infrastructure market can become. Let's start with demand. In the technology industry, companies continue to announce ambitious plans to expand their AI capabilities.
Large cloud providers are making significant investments. Specialized cloud companies are attracting capital, and businesses that previously had little to do with semiconductor manufacturing are now becoming major participants in the AI infrastructure race. That's why Leopold believes that investors should avoid perceiving the market as a competition where there can only be one winner.
Different AI models will coexist, and different computing architectures will serve different purposes. Large cloud companies and new infrastructure providers may find their opportunities. Nvidia's advantage is that its technology can support a significant portion of this expanding ecosystem. In other words, the company's potential market is not limited to one model, one customer, or one category of AI applications.
The broader industry can grow in several directions as long as Nvidia continues to supply the necessary infrastructure. However, more and more complications are arising. Demand for AI equipment is increasingly facing physical supply constraints. Memory is one of the most striking examples. AI systems require vast amounts of advanced memory, and production is barely keeping up with demand.
This imbalance contributed to rising costs throughout the supply chain. The pressure is not limited to memory. Electricity is becoming a critical issue as data centers expand. Companies need enough energy to run increasingly large computing clusters. They also need cooling systems, networking equipment, storage, and facilities to house it all.
Each additional level creates another potential bottleneck. This changes how investors should think about AI centers. The limiting factor may not always be the number of companies willing to purchase Nvidia products. This could be the industry's ability to produce, supply energy, and connect all the equipment needed to support these purchases.
This is a matter of friction, as infrastructure constraints can arise even when customer demand remains high. And this helps explain why the capabilities extend beyond GPUs . Let's consider the role of communication. For much of the AI boom, investors focused on the processors that perform the calculations .
Then the focus shifted to memory as the industry realized the importance of feeding data to these processors. Now another requirement is becoming increasingly important. All these components must interact effectively with each other. AI data centers can contain vast amounts of computing power and memory.
But these investments lose effectiveness if information is not transferred between components quickly enough. High-speed networks, optical connections, and switching systems are becoming an important part of this architecture. The challenges increase as AI systems become more complex. After all, generative AI and modern reasoning models can leverage different types of computing resources to perform complex tasks.
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