Hey friend,

After spending 15 years working in technology and seeing what happens behind the scenes, I’m absolutely convinced that all future software will be AI-driven.

I believe it so much that I just spent six months studying Machine Learning and AI Engineering at UC Berkeley.

While there, I had an epiphany about the stock market.

The more I learned about neural networks, the more I realized that Nvidia is the cornerstone of a massive shift in how every future business will process information.

Let me explain…

Traditional software needs data to be organized and labeled, or it won’t run properly.

We call it “structured data.”

Basically, someone loads business or customer info into a spreadsheet or database, then names, labels, and categorizes it.

Later, professionals can search that data, find what they need, and make decisions. Traditional software engineers design programs to do the exact same thing.

But the data that businesses have today isn’t easy to organize.

For example:
You and your best friend probably have used the same text thread for years. You’ve likely talked about thousands of different topics.

Now, try to label every conversation in that thread using just one word.

Hard, right?

There’s tons of data like this.

Trillions of Instagram and YouTube videos that can’t be labeled, Pinterest images, LinkedIn posts, business meeting recordings, etc.

Engineers call this “unstructured data.” But in plain English, it’s just “messy.”

Before now, businesses couldn’t fully use their messy data because software wasn’t smart enough to understand it.

A neural network is a computer algorithm designed to function like a human brain.

They can read documents, analyze images, summarize meetings, and even find patterns hidden inside millions of customer interactions.

It’s like using your eyes to scan an environment, your brain processing the information, and then making associations with everything it saw.

Basically, engineers have redesigned the traditional computer “brain” to be much, much smarter.

Businesses use this technology to make better decisions, sell more products, and grow 10x faster.

To run a neural network algorithm, you need something called a GPU (Graphics Processing Unit).

GPUs help computers process data and run thousands of calculations at once.

And with all the data businesses have, they need extremely powerful GPUs. Without them, neural networks are essentially impossible.

And Nvidia sells the most advanced GPUs in the world.

After hitting a high of $237 in May, Nvidia’s stock just fell to $205 in June.

And whenever a stock falls, investors ask: "Should I buy the dip?"

My question is: “Why wouldn’t you?”

Investors on the selling side are focused on short-term tensions surrounding Taiwan (where Nvidia’s chips are made) and the Middle East.

Meanwhile, I’m focused on the long-term adoption of neural networks because Nvidia’s business isn’t broken.

And if I’m right about all future software being AI-driven, Nvidia's pullback will be one of those moments that looks far more obvious in hindsight than it does today.

The next AI trade may not be another chatbot.

It may be surgical robots, automated warehouses, smart factories, and machine vision systems already reshaping how companies operate.

MarketBeat’s new 7 Stocks to Buy Before the Robotics Revolution report reveals seven companies positioned across the automation boom, from robot builders and AI chip leaders to machine vision providers and factory automation giants.

This is where AI gets a body.

And as labor shortages, wage pressure, and supply chain stress push more companies toward automation, these stocks could move before the robotics story becomes impossible to ignore.

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