Editor’s Note: Artificial intelligence has captured the world’s imagination. And as Colin has been telling readers, it promises to transform the world. But what the AI future looks like is far from certain. Today, colleague Teeka Tiwari sees a major event coming later this month that could shake up the AI race. Read on…

Teeka Tiwari

If you’ve been following the news recently, you know everyone is talking about how artificial intelligence (AI) is going to change everything.

Take ChatGPT, for example.

Before ChatGPT, almost no one understood what AI was and what it could do.

For most folks, AI was either an abstract concept that wouldn’t become reality or a futuristic idea like space travel.

But ChatGPT changed all of that…

For the first time ever, people can now interact with AI right from their computers.

And they can see with their own eyes that AI is generating its own articles… its own answers… and its own ideas.

Besides answering your questions, ChatGPT can do a host of other tasks. It can create computer code, craft a website, design a marketing plan, or write a poem.

And it’s done amazing things like pass the U.S. Bar exam, U.S. medical licensing exams, and Wharton’s MBA exam.

With the launch of ChatGPT, AI started to go mainstream fast.

Within five days it gained over 1 million users. And in two months, it topped 100 million.

That’s the second fastest ever to reach that milestone behind Meta’s new Threads app, which launched in July 2023.

ChatGPT was a smash hit. As a result, AI stocks have absolutely exploded this year.

For instance, stocks like Nvidia, C3.ai, and Symbotic are up 199%, 203%, and 290%, respectively.

AI is a huge megatrend, as you can see in the chart below…

According to consultant firm PwC Global, AI is the largest megatrend of our generation. It estimates it’ll create $15.7 trillion in new wealth.

Of course, that kind of growth doesn’t come without its own challenges and problems.

The No. 1 Problem AI Is Facing

The main problem AI has to becoming as ubiquitous as Wi-Fi is additional computational power.

Here’s what I mean…

AI models needs enormous amounts of specialized computer chips (called graphics processing units, also known as GPUs) in order to work.

But there’s a problem: There aren’t enough GPUs to go around.

According to recent reports, the shortage of GPUs has led to low computing power for ChatGPT. The result being ChatGPT isn’t able to process as much info as its programmers want.

This lack of GPUs is causing ChatGPT’s memory to become limited. That means it may find it difficult to handle certain questions.

The company behind ChatGPT has an unlimited amount of money behind it. So money isn’t the issue… It’s supply. Manufacturers just can’t make enough of these chips.

And it’s about to get worse…

It took an estimated 10,000–20,000 GPUs just to train ChatGPT.

But that’s only for training, not even inference. (Inference in AI refers to the process of reasoning and making decisions based on available information or data.)

Sam Altman is the CEO of OpenAI, the company behind ChatGPT. He noted the shortage of GPUs in reports from behind-closed-doors meetings.

Developers expect OpenAI to need north of 30,000 GPUs for the commercialization of ChatGPT.

Plus, there are a multitude of AI use cases already beyond chatbots.

In the future, we’ll see AI used in vehicular detection and avoidance… patient data processing… algorithmic trading… predictive maintenance… and cybersecurity.

That means we’ll need a lot of computing power.

Especially when you consider competing AI apps like Google’s Bard, Microsoft’s Bing AI, and DeepMind’s Sparrow will also need thousands of GPUs.

To determine how many GPUs AI will need in the coming years, computer researchers Dylan Patel and Afzal Ahmad from the firm SemiAnalysis ran an experiment.

It asked, “What if Google deployed ChatGPT into every search? How many GPUs would you need?”

The answer is, over 4 million. And remember, that’s just for widespread adoption of ChatGPT.

So clearly, we need more GPUs.

That’s where what I call AI coins comes in…

Why You Need to Act Now on AI Coins

AI coins don’t produce GPUs directly. Instead, they’re doing for GPUs what Airbnb did with spare bedrooms in the real estate market.

Airbnb turned those unused spaces into a $90 billion business.

I don’t want to get too technical… But these projects do the same with unused computing power.

I believe they’ll will help solve the scarcity problem so the world can harness the full potential of AI.

On Wednesday, I held a special strategy session called the #1 Coin for the AI Boom.

More than 9,000 people tuned in to watch. But I know many people didn’t have a chance to attend the event.

So I asked my publisher to replay the livestream. You can watch it right here.

But you want to act fast.

That’s because there’s an event scheduled for August 23 at precisely 4 p.m. ET that I believe will send the AI trend into a parabolic move higher.

And just to be clear: This isn’t a prediction. This event is guaranteed to happen on August 23 at 4 p.m. ET.

As people start putting the pieces together for what this event will mean for this coin, it’ll be too late. It could be trading 2x, 5x, or even 10x higher.

If you wait, you could potentially miss out on the biggest gains.

Right now, my No. 1 AI token trades for less than $1. And according to my research, it has at least 100x more upside potential than popular AI stocks like Nvidia.

Friends, I believe this is the beginning of a full-blown mania… Just like we saw with internet stocks in the 1990s. And because of that, billions are starting to flow into this new area of AI coins.

That’s the type of generational wealth this idea potentially offers.

Let the Game Come to You!

Big T