Artificial intelligence (AI) is the biggest growth story in modern history. |
It will reshape how businesses operate, how economies grow, and how wealth is created. |
Decades from now, historians will look back at this moment the way we look at the Industrial Revolution or the birth of the internet. |
Morgan Stanley projects that the widespread deployment of AI technology could create as much as $16 trillion in new stock market wealth. |
To put that number into perspective, $16 trillion would be enough to send a $120,000 check to every household in America. |
Elon Musk believes AI automation and robotics could ultimately 10x the size of the global economy, creating a $1 quadrillion opportunity. |
Friends, I've spent decades studying markets. I never imagined I'd say "quadrillion" about an investing opportunity with a straight face. |
Yet here we are… |
Some estimates forecast AI hyperscalers like Amazon, Microsoft, Alphabet, and Meta to spend up to $5 trillion over the coming years to build data centers and infrastructure. |
Here's what the numbers don't tell you… |
These companies are massively overinvesting in AI. Even Google CEO Sundar Pichai said this boom has "elements of irrationality." |
That doesn't mean AI isn't real. It doesn't mean the technology won't change the world. It does mean there's a big risk that overhyped AI stocks are in a bubble. |
Now, you might squeeze out another 10%, 20%, 30% – maybe even 50% – from these hot AI names before the bubble finally pops. |
But when the correction begins – and it will – those gains won't just disappear… The losses could be so severe, they permanently derail your retirement plans. |
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AI's Red Flag: All Growth at All Costs |
Everyone is going gaga over these hot AI stocks. But in reality, they're overpriced, bubble stocks waiting to get popped. |
Look at OpenAI, the creator of ChatGPT. The company is expecting to make more than $20 billion in revenue in 2025, but it'll keep zero in profits. |
The company's actually bleeding cash, with estimated losses of over $13 billion this year, because ChatGPT requires a ton of computing power and energy. |
HSBC estimates OpenAI will lose $500 billion by 2030. Yet CEO Sam Altman said the company will spend "trillions" on AI infrastructure. |
What I can tell you is, at some point, the AI bubble is going to burst. And everyone you know who isn't paying attention is going to get blown up. |
I saw this firsthand in the late 1990s, when the dot-com bubble punished the "all-growth, all-the-time" crowd that didn't realize the script had flipped. |
Back then, investors wanted growth at any price. Solid dividend names like Hershey and Altria traded at just 12-15x earnings, while high-flyers like Cisco soared to over 400x earnings. |
When the bubble burst, frightened investors paid up for safety. From 2000-02, Cisco lost nearly 90% of its value. Meanwhile, Hershey and Altria re-priced to 20-25x earnings. |
And it gets worse. Those investors who chased the Cisco hype had to wait 25 years to break back to even. That's just brutal. |
Friends, I'm 55 years old. I'd be 80 before I broke even. I don't have two-and-a-half decades to wait for a stock to recover. I'll run out of useful life. It's just not an option. |
And I don't want that fate for you. |
Today, the Nasdaq 100 Index, which is primarily made up of large-cap tech stocks, trades at an earnings multiple of 34.5. That means investors are paying $34.50 for every $1 in earnings. |
For comparison, the Nasdaq 100's 20-year historical average is 22.2. That means large-cap tech stocks are 50% more expensive today than the 20-year average. |
If that's not a red flag, I must be color blind. |
Here's what worries me most: A lot of investors will look straight at that red flag and ignore it. |
These Companies Are Rewriting the AI Story |
What most investors are missing about the AI story is that we're about to enter a new phase of the AI arms race. And I don't believe the biggest gains in this next phase will come from the hyperscalers. |
Hear me when I tell you: The next chapter of the AI story won't be written by the companies spending trillions to build infrastructure. |
It will be written by the companies deploying AI at scale to transform massive, inefficient businesses – without paying the infrastructure bill. |
I'm talking about legacy blue-chip companies. |
These legacy giants are weighed down by bloated infrastructure, massive payrolls, and decades of inefficiency. AI will rewire all of it – and far faster than most people realize. |
Think about what happens when they deploy AI at scale. They can… |
Automate repetitive tasks, reducing labor costs Optimize supply chains and inventory, cutting waste Predict equipment failures, lowering downtime and repair expenses Detect fraud and risk earlier, reducing losses Improve pricing and forecasting Cut energy costs across facilities Increase research and development (R&D) efficiency Replace routine customer service with AI agents
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When you apply those gains to companies already generating tens of billions in revenue, earnings don't increase – they accelerate. |
And here's the key insight most investors miss: None of this is priced in. |
| | | | Big T's $5 Million AI Bet | | Big T is going all in on what he believes will be the hottest trend in 2026. | With this strategy… | He believes you'll have the chance to capture massive gains while protecting your money against any AI bubble risk. | He's so confident, he's put over $5 million of his own money into it. | |
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That means these companies are cheap. Just think about it… |
I first recommended Nvidia in December 2015 when it traded for a split-adjusted 80 cents. Since then, it has risen as much as 25,851%. |
For investors to earn another 10x from here, Nvidia would need to reach a $44 trillion valuation – roughly equivalent to the combined GDP of the United States and China. |
Nvidia is a great company, but it won't be the one to change your financial life from these levels. |
After months of research, I recently launched a new research service, Asymmetric Edge, to uncover the legacy blue chips writing the next chapter of the AI story. |
These companies are trading at huge discounts compared to the average high-flying AI hyperscalers. |
Let me give you the math… |
Right now, Alphabet, Amazon, Meta, Microsoft, Nvidia, and Tesla are trading at an average weighted earnings multiple of 56x. That means you have to be willing to pay up to $56 today for every $1 the company earns in a year. |
The average forward P/E of the five companies I've uncovered in my new research service is 21x earnings. That means the market is paying up to 2.6x more for popular AI companies than the legacy companies deploying AI at scale. |
On top of that, these blue chips pay dividends nearly 6x higher than AI giants, many of which pay no dividends. |
Friends, these high-flying AI companies are spending hundreds of billions of dollars with no clear path to profit… while legacy blue chips are already generating massive cash flow. |
That's why I launched Big T's Asymmetric Edge. To find companies getting all the upside of the trillions being spent on AI infrastructure… without having to spend a dime of their own money on the buildout. |
Right now, I'm offering my best launch price for this new research service. You can click here to get all the details and learn how to get access to my special report, Nvidia's Paycheck Program: The Top Five Companies for Massive AI Payouts. |
And if you sign up now, you get these three bonus reports: |
The 10x AI Moonshot: The No. 1 Company Behind the Robotics Revolution. The Genesis Mission: The Top Three Companies Powering the AI Revolution The Asymmetric Edge Blueprint
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Friends, the real money in the next chapter of the AI story won't be made chasing the most hyped stocks priced for perfection… It'll be made by owning the companies quietly, deploying AI to cut costs, expand margins, and compound cash flow year after year. |
That's how you sidestep the AI bubble, protect your downside, and still capture the upside of the greatest technological shift of our lifetime. |
Let the Game Come to You! |
Big T |
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