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Good morning, scared AI investors.

Markets just gave AI stocks a reality check, with the Nasdaq suffering its biggest single-day point drop on record.

Today, we’re breaking down why investors are suddenly nervous about AI spending and why Meta may still be making a rational bet.

Friday was ugly for AI stocks.

The Nasdaq dropped more than 4%, marking its biggest single-day point drop on record and its worst percentage drop since April 2025.

Nvidia fell 6%, and Meta fell roughly 7% after reports it may raise tens of billions of dollars to fund its AI infrastructure buildout.

Here’s what happened:

AI stocks have been running hot.

When that happens, investors look for any excuse to take profits.

They got one.

A stronger jobs report (the third-strongest in 18 months) made Wall Street worry that interest rates could stay higher for longer.

Source: Kobeissi Letter

This is bad because AI stocks are valued mostly on future profits.

When rates go up, those future profits become worth less today.

That’s why the stock market fell.

(Good news is bad news)

But Meta had a second problem.

The company may raise new equity to fund data centers, chips, power, and infrastructure.

Following the same playbook Google used last week, which we covered here.

Investors are asking one simple question: “When does all this AI spending actually turn into profits?”

And they hate dilution.

Google got more patience because its AI spending is already showing up in growth and demand.

Meta is different.

It has been criticized for falling behind in AI, so investors want more proof before giving it the same pass.

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Meta is not raising money because its core business is broken.

As we covered in the past, the ad machine is still strong.

Source: WARC Media

The issue is that AI infrastructure is expensive, and Meta wants to move faster.

Especially as compute becomes a new kind of strategic inventory.

Think of it like oil for an airline.

An airline needs fuel to operate.

Meta needs compute to train models, improve ads, power AI assistants, run agents, and build new products.

  • Without enough compute → the AI roadmap slows down

  • With more compute → Meta gets more shots on goal

That is why the market may be overreacting.

Investors saw “equity raise” and immediately thought dilution.

Fair.

Nobody likes owning a smaller piece of the business.

But dilution is not automatically bad.

If a blue-chip company sells stock at a high valuation and uses that money to build assets that increase future cash flows, the dilution can be worth it.

We expect more companies (maybe Amazon) to follow this route in the future, which could make investors rush to sell their shares.

But that is also where the opportunity may be.

Corrections like these are uncomfortable, but they often reset expectations.

And in this case, the selloff is more about investors panicking over the price of staying competitive.

Source: Kobeissi Letter

Are these companies wasting money?

Or is it buying capacity before everyone else realizes how valuable that capacity becomes?

If it is the second one, this pullback may end up looking more like a buying opportunity.

What’s your take on this AI selloff?

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