Back in December 2015, when nobody was talking about Artificial Intelligence… |
I predicted: “Nvidia is poised to become the next tech giant because of its pioneering work in the field of artificial intelligence.” |
Anyone who listened to me and invested just $5,000 had a chance to become a millionaire. |
I recently made another Nvidia prediction... and it could be just as life-changing as the one I made in 2015. |
See it here because after May 15, it could be too late. |
Let The Game Come To You! |
Big T |
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In case you missed it, here’s Big T’s Digital Asset Daily |
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Amid all the Iran war headlines, a shoe company called Allbirds stole the spotlight for a moment. It announced a pivot to AI computing infrastructure… renamed itself NewBird AI… and watched its stock go up 582% in a single session. |
At $21 million, the entire business went from being worth less than a Manhattan apartment building… to $159 million overnight. Think about that. A company with no AI experience, no customers, and no revenue model worth mentioning 7x’d on a press release. |
Now, it’s too early to tell whether NewBird AI will fail or succeed. But frankly, I’m not interested in finding out with my hard-earned cash. Let me show you where I’m putting my money instead. |
A Shoemaker by Any Other Name |
The NewBird hype is by far the biggest sign of froth I’ve seen since we first started sounding the alarm on the AI trade late last year. But it’s not the first time a company has rebranded itself to ride the coattails of a hot new trend. |
In 2017, Long Island Iced Tea rebranded to Long Blockchain before being delisted by the SEC for fraud. A couple of decades before that, investors learned a painful lesson when the dot-com bubble – propped up by opportunists like eToys.com and Pets.com – popped and wiped out $5 trillion in stock market wealth. |
I’m not saying AI stocks can’t go higher, but it does mean you need to be cautious. |
Right now, everyone is trying to predict who will have the best AI chatbot next year… or if Nvidia will still dominate the chip market… or if Palantir will continue to win massive government contracts. |
We’re not interested in figuring out who wins the AI race. Instead, we’re identifying companies with a high probability of doubling over the next three years. The kind of stocks that allow you to grow your retirement account without losing sleep at night. |
That’s how we beat the market without taking unnecessary risks. |
So far, it’s paying off for our subscribers. Since we launched our Asymmetric Edge research service on December 23, our model portfolio has returned 12% overall. Compare that with just 3.1% for the S&P 500. Meanwhile, popular AI plays like Microsoft, Palantir, and Oracle are down 23%, 29%, and 43% from their October highs. |
While the market is asking “Who will win the AI race?” and getting crushed in the hottest names, we’re betting on the one thing AI cannot run without. |
AI’s Bottleneck Isn’t Hardware |
You can’t build a GPU cluster or run a data center without electricity. It’s AI’s biggest bottleneck and the only certainty in this race. Gain access to a steady supply of electricity fast or lose the AI race. |
U.S. data centers already consume 4% of total U.S. electricity. By 2030, that figure is projected to more than double. |
For perspective, a single next-generation AI data center can now consume as much electricity as 100,000 households. The largest campuses under development are projected to use 20 times that amount, rivaling the peak demand of cities like New York. |
To meet the coming demand, America’s utilities just unveiled a $1.4 trillion capital spending plan through 2030. That’s a 27% jump from last year’s record-high projections and double the total investment from the entire previous decade. |
Duke Energy alone is committing $103 billion. Southern Company is committing $81 billion. This is the largest coordinated utility investment in American history. |
Yet the bottleneck is still getting worse. Up to 11 gigawatts of planned data center capacity is stalled because developers can’t secure enough power. We can see that in construction backlogs. Facilities that only need 12-18 months of construction are being pushed back to 24-72 months. |
The problem comes down to the grid itself. Most of it was built between the 1950s and 1970s. About 70% of it is approaching the end of its functional life. |
AI exposed just how outdated and vulnerable America’s power grid is. The Hormuz energy crisis made it impossible to ignore. |
This Is America’s Weak Link |
The U.S. is trying to win the most consequential technological race in history while its energy infrastructure is aging, strained, and now partially dependent on a strait controlled by a country actively firing on oil tankers. |
Whoever solves the American energy constraint profits from the Iran crisis… while also getting paid by every hyperscaler, every AI startup, and every data center operator in the country. No matter who wins the AI race. |
OpenAI needs power. Anthropic needs power. Hyperscalers like Google, Microsoft, Amazon, and Meta have committed nearly $690 billion in capital expenditures in 2026 alone. |
Of that, about 75% (or $517 billion) is directed at AI infrastructure. Just three years ago, they spent $155 billion on total infrastructure. We’re talking about one of the fastest reallocations of capital in corporate history. |
They all need electricity, and they need it now. They can’t afford to wait years for the grid to level up. That’s why, as we showed you in December, data center operators are now designing entire campuses to generate their own power independently. |
It’s why companies that supply that power are becoming the most strategic, most critical businesses for smart investors to own. With the Iran crisis amplifying this, it’s no wonder our Asymmetric Edge portfolio is crushing the broader market’s returns by nearly 4x. |
Own the Companies That Win No Matter What |
Again, we’re not trying to guess who wins the AI race. As Teeka has been warning you, nobody knows the answer to that question – not us, not Warren Buffett, not Ray Dalio. |
That’s why we’re positioned in two types of businesses. Those that are driving down costs in their legacy businesses from the adoption of AI tools. And those companies that are set to profit from the rapid buildout of AI infrastructure. This is where we believe just about all the long-term outperformance in equities lies for the next 5-7 years. |
One example is Bloom Energy (BE). We added it to the Asymmetric Edge portfolio in December based on a simple thesis: It sells reliable, clean power directly to data centers. It has real contracts, including a major supply agreement with Oracle. |
Shares are already up over 149% since we added it four months ago. Subscribers who followed our recommendation had the chance to take a “free ride” last week, locking in enough gains to cover their original investment. |
The rest of their position rides at zero cost. Whatever happens from here, they can’t lose money on this trade. And we’re still in the early innings. |
Based on our research, the energy companies we’ve identified in our special report, The Genesis Mission: The Top Three Companies Powering the AI Revolution, have the potential to deliver gains of up to 1,833%. |
To put that in perspective, you’d need to hold the entire S&P 500 for more than 30 years to see similar returns. |
If you want to see the full portfolio – the energy plays, the blue-chips, and all the names we believe have the most room to run as the AI buildout accelerates – watch this to learn more about Teeka’s top buys right now. |
The bottom line is this. Companies are spending hundreds of billions of dollars trying to win the AI race. The question you need to ask is: “Who gets paid no matter who crosses the finish line first?” |
The companies powering the AI race don’t care who wins it. They don’t care if it’s Amazon, Google, NewBird… or the next AI rebrand that makes headlines. Neither do we. Because no matter who wins, the companies in our portfolio will still be making money. |
Don’t Watch the Future Happen. Own It! |
Houston Molnar |
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