About seven months ago I wrote a Technotainment Scorecard piece called “From FAANG to MANGO: Wall Street’s AI Shift.” The argument was simple. The market was quietly moving away from the FAANG companies that defined the last decade of tech investing.

Instead of rewarding whoever captured the most eyeballs, investors were starting to reward something else entirely: the companies powering artificial intelligence.

I used a new acronym that had begun floating around analyst circles: MANGO.

The idea was straightforward. The next phase of the tech economy would not be defined by social media feeds or streaming subscriptions. It would be defined by the infrastructure that actually makes AI work.

But the real story isn’t AI apps. It’s who owns the machines.

In plain English, the companies running the machines might matter more than the companies building the apps.

Seven months later it seemed worth checking the scoreboard.

Did Wall Street really move from FAANG to MANGO?

And while we are asking questions, there is another obvious one hanging over the entire AI boom.

If artificial intelligence is reshaping the market, where exactly do OpenAI and ChatGPT fit into all of this?

The FAANG Era: Owning Attention

At its peak, FAANG reflected a simple theory. The companies that captured the most human attention would dominate the economy.

That group included Meta, Apple, Amazon, Netflix, and Alphabet. Each company controlled a major digital habitat. Social media. Smartphones. Online shopping. Streaming video. Search.

The formula looked almost embarrassingly simple.

More users created more data.
More data enabled better targeting.
Better targeting produced more revenue.

For years the strategy worked beautifully. FAANG companies became some of the most valuable businesses in history.

But hidden inside that success was an assumption. It assumed the next technological revolution would still revolve around human attention.

Artificial intelligence changed the rules.

The MANGO Shift: Owning the Machines

When generative AI burst onto the scene, investors started asking a different question.

Who controls the computing power that AI actually runs on?

Training modern AI models requires an almost absurd amount of computing muscle.

Giant data centers. Specialized processors. Enough electricity to power small towns.

Suddenly the most important companies were not just consumer platforms. They were the companies supplying the infrastructure behind the scenes.

That is where the MANGO acronym emerged: Microsoft, Apple, NVIDIA, Alphabet, and Amazon.

The shift sounds subtle but it is enormous.

Wall Street stopped obsessing over engagement metrics and started obsessing over data centers, AI chips, and cloud capacity.

Investors were no longer chasing apps.

They were chasing intelligence engines.

And sitting squarely in the middle of that ecosystem was one company quietly supplying the hardware for the entire AI boom.

NVIDIA.

The Center of the AI Universe

Few companies have transformed their importance as dramatically as NVIDIA.

Not long ago the company was best known for making graphics cards for video games.

Today it sits at the center of the artificial intelligence economy. Its market value now hovers around a staggering $4.5 trillion.

Large language models, image generators, recommendation engines, and autonomous systems all rely on massive parallel computing power. NVIDIA’s processors happen to be very good at that job.

As AI exploded, demand for those chips exploded with it. Data centers around the world began filling with NVIDIA hardware. Cloud providers started ordering processors as fast as NVIDIA could manufacture them.

Technology companies are pouring tens of billions of dollars into AI infrastructure. A meaningful slice of that money flows straight to NVIDIA.

In effect, NVIDIA has become the arms dealer of the AI revolution.

The Three Layers of the AI Economy

To understand why Wall Street keeps favoring these companies, it helps to think of AI as a three‑layer cake.

At the bottom sits computing power (also referred to as “compute”). These are the chips and data centers required to train and run AI models.

Above that sits the cloud. Running AI systems requires enormous servers operated by companies like Microsoft Azure, Amazon Web Services, and Google Cloud.

Finally there is distribution. This is where AI reaches ordinary people through smartphones, operating systems, search engines, and workplace software.

Stack those layers together and something interesting happens.

The same handful of companies appear again and again.

Which explains why investors keep pouring money into them.

Where OpenAI Fits

This brings us back to the obvious question.

If AI is driving the entire market story, where does OpenAI fit?

After all, OpenAI created ChatGPT, the product that shoved artificial intelligence into everyday life. Millions of people now use it. Businesses rely on it. Governments worry about it. Hollywood argues about it.

So why is OpenAI not part of the Wall Street acronym game?

Because OpenAI sits in a different layer of the stack.

OpenAI builds the models. In simple terms, it builds the brains that generate text, images, and increasingly video.

But those brains require an enormous body underneath them.

Training and running modern AI systems requires gigantic data centers packed with specialized processors. Much of that infrastructure comes from Microsoft and NVIDIA.

ChatGPT runs largely on Microsoft’s Azure cloud, which in turn relies heavily on NVIDIA chips. Every prompt triggers a cascade of computing power humming away inside data centers.

In other words, OpenAI may design the intelligence. But someone else owns the power plant. And that distinction matters a lot in financial markets.

Infrastructure companies get paid every time the machines run. Cloud providers charge for computing power. Chipmakers sell thousands of processors at a time.

Model companies compete in a rapidly evolving race where capabilities change every few months.

OpenAI may be the most culturally visible AI company on the planet.

But the economic gravity of the system still pulls revenue toward the infrastructure layer.

OpenAI may be the face of the AI revolution.

The infrastructure companies are the landlords.

And landlords tend to collect the rent.

Why the Market Has Not Rotated Away

Every few months analysts predict the market will rotate away from big technology companies.

Sometimes the argument focuses on industrial firms benefiting from infrastructure spending. Sometimes it highlights energy, defense, or biotech.

Those sectors may indeed perform well, but the underlying drivers behind the MANGO thesis have not changed.

Artificial intelligence is still in its early innings. Companies are just beginning to weave AI into everyday workflows. Governments are racing to build domestic computing capacity.

All of that activity requires staggering amounts of chips, software, and cloud infrastructure.

Which means the companies controlling those resources remain central to the market story.

The Technotainment Takeaway

For a decade the market rewarded whoever controlled the internet’s biggest audiences.

Today it rewards whoever controls the infrastructure of intelligence.

Wall Street is no longer trading on apps.

It is trading on machines.

And the companies that own those machines increasingly own the future.