How the “Nvidia Effect” Will Make Investors Rich

[Intelligent Income Daily]( Welcome to Cycles Trading with me, Phil Anderson. My aim with this three-day-per-week e-letter is to introduce you to the most powerful knowledge for building wealth. And that’s the 18.6-year real estate cycle and its key relationship to stocks. Every 18.6 years, property, economy, and stock markets move through a repeating series of peaks and troughs – like clockwork. And the market has followed this cycle for over 200 years. Using this knowledge, I’ve been able to forecast every major market move over my 34-year career. If this is your first time tuning in, catch up on my[background]( how I [predict the markets]( and how I’ll help you avoid [false alarms]( from the mainstream media. Rachel’s note: [Yesterday]( we shared Phil’s thoughts on the AI space and why he thinks it’s one of the very best investments you can make in this stage of the real estate cycle… After all, shares in AI chipmaker Nvidia are up 210% this year – quite a feat for a $1 trillion stock. And tech investing expert Colin Tedards agrees… and like Phil, says it’s just the start of a much bigger AI boom. If you haven’t heard of Colin, he’s a tech- and growth-stock investor who blew up on YouTube for his jargon-free research into the world’s top tech stocks. Today, he says AI gains will rival those investors made in the 1990s internet boom… and not to worry if you missed out on the Nvidia run. --------------------------------------------------------------- How the “Nvidia Effect” Will Make Investors Rich By Colin Tedards, Editor, The Bleeding Edge In 1999, business leaders around the world were asking the same question… “Should we have a website?” The answer seems obvious now. Of course, a business needs a website… But in 1999, the internet was still new. And it was hard to tell. Then, in 2007, business leaders were asking another key question… “Should we be on social media?” And the answer, once again, was yes. Today, most companies use Facebook, Instagram, LinkedIn, and TikTok to engage with their customers. And the companies behind these platforms are among the largest in the world. Now, another key tech question has arisen. And business leaders all want to know the answer. “Should we adopt AI?” As I’ll show you today, the answer will be another resounding yes. Companies will use AI to bring down costs… fatten margins… and boost profits. But it’s important to know where to invest now… and how to avoid overpriced names driven far too high by bullish traders this year. First, let me explain a bit more about why AI is such a massive opportunity today… Recommended Link [EXCLUSIVE NEW INVITATION-ONLY AI EVENT FROM BROWNSTONE RESEARCH The Nvidia Effect: How to Supersize Your Profits in the Second Phase of the AI Boom]( [image]( Join us Wednesday, September 20 at 8 p.m. ET to discover the blueprint for finding tiny AI-related companies with the potential to return 10-to-1, 20-to-1, 50-to-1… perhaps even 100-to-1… and become the highest-returning AI stocks of ALL TIME. [Click to Register Your Details and Reserve Your Access To Make Sure You Don’t Miss a Thing.]( -- Fastest-Growing App in History By now, you’re likely aware of ChatGPT. It’s a form of generative AI. ChatGPT is the AI chatbot from OpenAI that has read the internet and can answer just about any question you ask it – just like a human would. It’s a massive triumph. Researchers have been tinkering with AI for more than 70 years. One of the earliest AIs was a program that learned how to play checkers back in 1952. Since then, AIs have translated languages… learned to drive cars and navigate roads… become the world’s best chess player… discovered new drug candidates… and guided unmanned probes to Mars. But those were all one-off use cases. Each AI existed to solve a specific problem. Today’s AI systems are different – and that difference will create a new wave of wealth for investors… as well as for society. The Race Is on to Adopt AI We can now train AI systems on giant datasets and have them perform a variety of roles. ChatGPT, for instance, can compose songs, answer exam questions, and write computer code. Specialized versions of it can be used as customer service agents… write marketing material… even provide live analysis on stocks and bonds. This flexibility means AI is accessible to nearly every business in the world. And just like in 1999 and 2007, they’re going to adopt it at scale. The CEO of IBM, Arvind Krishna, told Bloomberg AI will replace 30% of office jobs over the next five years. In IBM’s case, I calculated this would yield about $780 million in yearly savings. That would have boosted IBM’s 2022 profits of $1.6 billion by 48%. That’s the kind of margin expansion most CEOs only dream of. And when margins expand, profits go up. Share prices go up. And investors get richer. And it’s not just IBM. There’s a strong financial incentive to adopt AI across the board to boost profits. It’s why I’m looking beyond just a few big tech stocks to play the AI boom. Thousands of non-tech companies will soon start racing to adopt AI and make their businesses more profitable as a result. That spells opportunity for us as investors… Follow the 7% Consulting firm PwC calculates that AI will add $15 trillion to the world’s GDP by 2030. That’s 16% of last year’s global GDP of $95 trillion. Most of the value added will come from increased efficiency. Work that AIs automate will be completed faster, cheaper, and more accurately than work humans alone can do. Already, investors are rewarding companies for just saying they’re adopting AI. Consulting firm Accenture found that when management mentioned AI on an earnings call, the chance that its share price would rise went up 40%. But Accenture also found that only 7% of companies were actually using AI to make more money. For those that were, the results were impressive. Companies in that group were able to grow their revenue 50% more than their peers, on average. For instance, a major solar panel installer uses AI on satellite images to automate planning. That shaves about 25% off its installation costs. And Procter & Gamble is using AI to cut its time and costs to develop new products. The company is asking an in-house AI to create a new soap formula that will save costs without sacrificing its cleaning efficiency. It can offer potential solutions that have a good chance of working. That cuts down on a usually lengthy and expensive experimentation process. Long story short, the 7% of companies using AI to build a better business are going to outcompete the 93% that aren’t. And that 7% isn’t as obvious as it looks. Look Beyond the Obvious Names The biggest winner so far in the AI boom is U.S. chipmaker Nvidia. It’s the world’s biggest supplier of the advanced semiconductors that make AI systems like ChatGPT able to process so much data so quickly. And Nvidia shares have more than tripled in value this year. That’s the power of being an obvious name at the start of this trend. But here’s what may surprise you. I do not recommend buying shares of Nvidia. With a market value now north of $1 trillion, it takes a lot to move this stock. The company must add $10 billion in market value to move the stock 1% higher. By contrast, if a stock is worth $10 billion, it only has to add $100 million in market value to have the same effect. Another problem is that Nvidia is priced for perfection. Its shares trade for a price-to-sales ratio of 34. That means you pay $34 dollars as a shareholder for every dollar of sales the company has. That’s 4x higher than its nearest rival, Advanced Micro Devices (AMD). And when a stock is priced for perfection, even a small slip up can lead to shares cascading lower. As a company, Nvidia has a bright future. But as an investment, its days of explosive growth potential are over. Back the Nvidia Effect Instead Fortunately, we don’t have to invest in Nvidia to benefit from its dominance. It all comes down to something I call the “Nvidia Effect.” When a company becomes as large and as powerful as Nvidia, every move it makes has an impact on the small companies supporting its business. And right now, there are three small-cap stocks primed to shoot higher as the effect takes hold. These stocks are only a small fraction of the size of Nvidia. So, the gains on offer are multiples more than what’s on offer with the chipmaking giant. I’d like to give you more details on this Nvidia Effect as well as the three small-cap AI stocks I’m recommending right now. To learn more, I invite you to join me on Wednesday, September 20, at 8 p.m. ET. I’ll lay it all on the line in a [one-off investing summit]( And I’ll share my favorite way to profit from the AI megatrend. You can reserve your spot with one click by going [right here](. I look forward to seeing you there… and showing you how you can profit. Regards, Colin Tedards Editor, The Bleeding Edge --------------------------------------------------------------- Like what you’re reading? Send your thoughts to [feedback@rogueeconomics.com](mailto:feedback@rogueeconomics.com?subject=RE: Cycles Trading Feedback). IN CASE YOU MISSED IT… [Elon Musk’s “ChatGPT” Could Soon Mint New Millionaires]( Elon Musk made $180 million on PayPal when he revolutionized online payment processing. $47 billion on SpaceX, when he revolutionized space exploration. And $94.2 billion on Tesla, when he revolutionized the auto industry. He’s about to shock the world again with his version of ChatGPT. And you could go along for the ride if you make [this one simple move.]( [Click here.]( [image]( --------------------------------------------------------------- How the “Nvidia Effect” Will Make Investors Rich By Colin Tedards, Editor, The Bleeding Edge In 1999, business leaders around the world were asking the same question… “Should we have a website?” The answer seems obvious now. Of course, a business needs a website… But in 1999, the internet was still new. And it was hard to tell. Then, in 2007, business leaders were asking another key question… “Should we be on social media?” And the answer, once again, was yes. Today, most companies use Facebook, Instagram, LinkedIn, and TikTok to engage with their customers. And the companies behind these platforms are among the largest in the world. Now, another key tech question has arisen. And business leaders all want to know the answer. “Should we adopt AI?” As I’ll show you today, the answer will be another resounding yes. Companies will use AI to bring down costs… fatten margins… and boost profits. But it’s important to know where to invest now… and how to avoid overpriced names driven far too high by bullish traders this year. First, let me explain a bit more about why AI is such a massive opportunity today… Recommended Link [EXCLUSIVE NEW INVITATION-ONLY AI EVENT FROM BROWNSTONE RESEARCH The Nvidia Effect: How to Supersize Your Profits in the Second Phase of the AI Boom]( [image]( Join us Wednesday, September 20 at 8 p.m. ET to discover the blueprint for finding tiny AI-related companies with the potential to return 10-to-1, 20-to-1, 50-to-1… perhaps even 100-to-1… and become the highest-returning AI stocks of ALL TIME. [Click to Register Your Details and Reserve Your Access To Make Sure You Don’t Miss a Thing.]( -- Fastest-Growing App in History By now, you’re likely aware of ChatGPT. It’s a form of generative AI. ChatGPT is the AI chatbot from OpenAI that has read the internet and can answer just about any question you ask it – just like a human would. It’s a massive triumph. Researchers have been tinkering with AI for more than 70 years. One of the earliest AIs was a program that learned how to play checkers back in 1952. Since then, AIs have translated languages… learned to drive cars and navigate roads… become the world’s best chess player… discovered new drug candidates… and guided unmanned probes to Mars. But those were all one-off use cases. Each AI existed to solve a specific problem. Today’s AI systems are different – and that difference will create a new wave of wealth for investors… as well as for society. The Race Is on to Adopt AI We can now train AI systems on giant datasets and have them perform a variety of roles. ChatGPT, for instance, can compose songs, answer exam questions, and write computer code. Specialized versions of it can be used as customer service agents… write marketing material… even provide live analysis on stocks and bonds. This flexibility means AI is accessible to nearly every business in the world. And just like in 1999 and 2007, they’re going to adopt it at scale. The CEO of IBM, Arvind Krishna, told Bloomberg AI will replace 30% of office jobs over the next five years. In IBM’s case, I calculated this would yield about $780 million in yearly savings. That would have boosted IBM’s 2022 profits of $1.6 billion by 48%. That’s the kind of margin expansion most CEOs only dream of. And when margins expand, profits go up. Share prices go up. And investors get richer. And it’s not just IBM. There’s a strong financial incentive to adopt AI across the board to boost profits. It’s why I’m looking beyond just a few big tech stocks to play the AI boom. Thousands of non-tech companies will soon start racing to adopt AI and make their businesses more profitable as a result. That spells opportunity for us as investors… Follow the 7% Consulting firm PwC calculates that AI will add $15 trillion to the world’s GDP by 2030. That’s 16% of last year’s global GDP of $95 trillion. Most of the value added will come from increased efficiency. Work that AIs automate will be completed faster, cheaper, and more accurately than work humans alone can do. Already, investors are rewarding companies for just saying they’re adopting AI. Consulting firm Accenture found that when management mentioned AI on an earnings call, the chance that its share price would rise went up 40%. But Accenture also found that only 7% of companies were actually using AI to make more money. For those that were, the results were impressive. Companies in that group were able to grow their revenue 50% more than their peers, on average. For instance, a major solar panel installer uses AI on satellite images to automate planning. That shaves about 25% off its installation costs. And Procter & Gamble is using AI to cut its time and costs to develop new products. The company is asking an in-house AI to create a new soap formula that will save costs without sacrificing its cleaning efficiency. It can offer potential solutions that have a good chance of working. That cuts down on a usually lengthy and expensive experimentation process. Long story short, the 7% of companies using AI to build a better business are going to outcompete the 93% that aren’t. And that 7% isn’t as obvious as it looks. Look Beyond the Obvious Names The biggest winner so far in the AI boom is U.S. chipmaker Nvidia. It’s the world’s biggest supplier of the advanced semiconductors that make AI systems like ChatGPT able to process so much data so quickly. And Nvidia shares have more than tripled in value this year. That’s the power of being an obvious name at the start of this trend. But here’s what may surprise you. I do not recommend buying shares of Nvidia. With a market value now north of $1 trillion, it takes a lot to move this stock. The company must add $10 billion in market value to move the stock 1% higher. By contrast, if a stock is worth $10 billion, it only has to add $100 million in market value to have the same effect. Another problem is that Nvidia is priced for perfection. Its shares trade for a price-to-sales ratio of 34. That means you pay $34 dollars as a shareholder for every dollar of sales the company has. That’s 4x higher than its nearest rival, Advanced Micro Devices (AMD). And when a stock is priced for perfection, even a small slip up can lead to shares cascading lower. As a company, Nvidia has a bright future. But as an investment, its days of explosive growth potential are over. Back the Nvidia Effect Instead Fortunately, we don’t have to invest in Nvidia to benefit from its dominance. It all comes down to something I call the “Nvidia Effect.” When a company becomes as large and as powerful as Nvidia, every move it makes has an impact on the small companies supporting its business. And right now, there are three small-cap stocks primed to shoot higher as the effect takes hold. These stocks are only a small fraction of the size of Nvidia. So, the gains on offer are multiples more than what’s on offer with the chipmaking giant. I’d like to give you more details on this Nvidia Effect as well as the three small-cap AI stocks I’m recommending right now. To learn more, I invite you to join me on Wednesday, September 20, at 8 p.m. ET. I’ll lay it all on the line in a [one-off investing summit]( And I’ll share my favorite way to profit from the AI megatrend. You can reserve your spot with one click by going [right here](. I look forward to seeing you there… and showing you how you can profit. Regards, Colin Tedards Editor, The Bleeding Edge --------------------------------------------------------------- Like what you’re reading? Send your thoughts to [feedback@rogueeconomics.com](mailto:feedback@rogueeconomics.com?subject=RE: Cycles Trading Feedback). IN CASE YOU MISSED IT… [Elon Musk’s “ChatGPT” Could Soon Mint New Millionaires]( Elon Musk made $180 million on PayPal when he revolutionized online payment processing. $47 billion on SpaceX, when he revolutionized space exploration. And $94.2 billion on Tesla, when he revolutionized the auto industry. He’s about to shock the world again with his version of ChatGPT. And you could go along for the ride if you make this one simple move. [Click here.]( [image]( [Rogue Economincs]( Rogue Economics 55 NE 5th Avenue, Delray Beach, FL 33483 [www.rogueeconomics.com]( [Tweet]( [TWITTER]( To ensure our emails continue reaching your inbox, please [add our email address]( to your address book. This editorial email containing advertisements was sent to {EMAIL} because you subscribed to this service. To stop receiving these emails, click [here](. Rogue Economics welcomes your feedback and questions. But please note: The law prohibits us from giving personalized advice. 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