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Everyone Is Watching Nvidia. I'm Watching These Three Companies Instead.

Ask most investors what company represents the AI revolution, and you'll probably hear one answer.

Nvidia.

But next week, I think the companies that could tell us more about AI's future aren't GPU makers—they're memory makers.

SK Hynix, Samsung Electronics, and Kioxia are about to release earnings, and I believe their guidance may reveal something the market has been debating for months:

Is the AI boom still accelerating, or is it starting to mature?

That's a much bigger question than whether one company beats earnings estimates.

AI Doesn't Run on Chips Alone

Every AI breakthrough starts with computing power.

But computing power is useless without memory.

Every chatbot, AI agent, recommendation engine, autonomous system, and cloud model constantly moves enormous amounts of data. That data must be stored, transferred, and processed at incredible speed.

That's where HBM, DRAM, and NAND become the hidden engine behind artificial intelligence.

When memory demand grows, AI is expanding.

When memory orders slow, the entire industry begins asking difficult questions.

That's why I'm paying more attention to memory manufacturers than social media headlines.

This Earnings Season Isn't About Revenue

Revenue tells us what happened.

Guidance tells us what happens next.

That's why conference calls may become more important than financial statements.

I want management to answer four simple questions.

Are cloud companies still placing large AI orders?

Are customers signing longer supply agreements?

Can memory prices remain strong into 2027?

Is demand growing faster than new production capacity?

Those answers will shape investor confidence for the rest of the year.

What Could Surprise the Market?

Everyone expects strong numbers.

That actually creates a different risk.

If expectations become too optimistic, even excellent earnings may disappoint investors.

We've seen this happen many times.

A company reports record profits.

The stock still falls.

Not because business is weak.

Because expectations were even higher.

This is why guidance matters more than headlines.

The Bigger Story Isn't AI—It's Infrastructure

People often think AI is a software story.

I think it's becoming an infrastructure story.

Every new AI model requires larger data centers.

Larger data centers require more advanced memory.

More memory requires greater manufacturing investment.

That investment creates opportunities across semiconductors, networking, cloud computing, power systems, cooling technology, and even industrial automation.

The companies building the foundation often benefit long after the excitement around new AI applications fades.

Three Signals I'll Watch

Instead of focusing only on quarterly earnings, I'll be watching three indicators.

First, whether companies continue talking about supply shortages.

Second, whether customers are increasing long-term purchase commitments.

Third, whether management remains confident enough to expand production despite economic uncertainty.

If all three remain positive, the AI investment cycle may still have years of growth ahead.

My Perspective

Markets always chase the most exciting story.

Right now, that's artificial intelligence.

But successful investing isn't about following excitement.

It's about finding the data that confirms whether the story is still real.

For me, next week's earnings aren't simply about SK Hynix, Samsung, or Kioxia.

They're about answering a much bigger question.

Is the AI revolution still consuming more hardware than the world can produce?

If the answer is yes, this industry may still be in the early chapters of a much larger growth cycle.

Sometimes the most important signal doesn't come from the company making the headlines.

It comes from the companies quietly supplying the technology that makes those headlines possible.

#SKHynix #Samsung #Kioxia #GateSquare @Gate_Square @GateSquare