Yong Social Finance

The AI boom has been one of the biggest forces in the stock market.

But investors are beginning to ask a different question.

Not “How much more can companies spend on AI?”

But:

“When does all this spending start producing returns?”

That question is becoming harder to ignore after Alibaba announced a $10.2 billion share sale to finance its AI expansion — and investors promptly sent the stock lower.

Alibaba just gave investors a warning

Alibaba plans to issue 710 million new shares, equivalent to roughly 3.6% of its enlarged share capital, with the proceeds dedicated to AI infrastructure, chips, models and other capabilities.

The offering was priced at HK$112.70 per share, an 8.4% discount to the previous closing price. Despite strong demand for the deal, Alibaba's shares fell sharply.

Why would investors sell a company that is raising billions to participate in one of the world's biggest technology trends?

Because AI spending has a cost.

Alibaba's latest quarter showed revenue increasing 9%, while net profit plunged 75%. Capital expenditure jumped 75% to about $10 billion, largely because of AI infrastructure investment.

The company's AI and cloud revenue, meanwhile, grew 45%.

That's the contradiction investors are wrestling with:

AI is growing extremely quickly — but building the infrastructure to support it is incredibly expensive.

This isn't just an Alibaba problem

The same question is spreading across the technology sector.

Companies are spending enormous amounts on:

• AI chips
• Data centers
• Electricity
• Cloud infrastructure
• Networking
• Model development
• AI acquisitions
• New computing capacity

For years, investors largely rewarded this spending because they believed whoever built the infrastructure would eventually dominate the AI economy.

Now the market is beginning to demand evidence.

Where are the returns?

Nvidia is about to provide another answer

That is why Nvidia's earnings on Wednesday are so important.

Nvidia sits at the center of the AI infrastructure economy. Its chips power many of the systems being built by the world's largest technology companies.

The market isn't simply looking for another revenue record.

Investors want to know whether demand remains strong enough to support the next wave of AI spending.

If Nvidia delivers another spectacular forecast, the market could interpret that as confirmation that the AI infrastructure cycle still has room to run.

But if growth expectations disappoint, investors could start questioning the entire chain of spending behind it.

The AI spending race is becoming a financing race

There's another detail that deserves attention.

Alibaba isn't simply using existing cash to fund its AI ambitions.

It's raising new equity.

That means existing shareholders face dilution.

The company is essentially asking investors to accept a larger share count today in exchange for the possibility of significantly greater AI-driven earnings tomorrow.

That is a very different proposition from simply investing profits into a new product.

And it's becoming increasingly common for companies to look for enormous amounts of external capital to finance AI infrastructure.

The global AI race is becoming a race for capital as much as computing power.

Investors are starting to separate AI winners from AI spenders

This could be one of the most important changes in the stock market.

Early in the AI boom, simply having an AI strategy could excite investors.

Now that almost every major technology company has one, that advantage is disappearing.

Investors may increasingly distinguish between:

Companies selling AI infrastructure

and

companies spending heavily to buy it.

That distinction matters.

Nvidia sells the picks and shovels.

Cloud companies buy enormous quantities of those picks and shovels.

Companies like Alibaba are simultaneously trying to build their own AI infrastructure while monetizing the resulting services.

The economics are therefore becoming much more complicated.

The market wants proof

This is where the stock market could become less forgiving.

If a company announces another $10 billion AI investment, investors may no longer automatically celebrate.

They may ask:

How much revenue will this generate?

When will it become profitable?

What is the return on invested capital?

Will customers actually pay enough for these services?

How long will the infrastructure remain useful before the next generation of chips arrives?

Those questions could increasingly determine which AI stocks outperform.

China is showing how intense the competition has become

Alibaba's move also highlights the global nature of the AI race.

Chinese companies are competing aggressively in AI while facing restrictions on access to some of the most advanced U.S. semiconductor technology.

That has pushed Chinese companies to invest heavily in domestic chips, models and computing infrastructure.

The result is a global capital race.

The United States wants to maintain its AI advantage.

China wants greater technological independence.

Companies in both markets are spending enormous amounts to achieve those goals.

And shareholders are being asked to finance the competition.

So is the AI boom ending?

Not necessarily.

In fact, the opposite may be true.

Alibaba's AI and cloud revenue grew 45%, demonstrating that there is real demand for AI-related services.

The problem isn't whether AI is useful.

The problem is whether the financial returns will eventually justify the extraordinary cost of building it.

That's a much harder question.

The stock-market lesson

The AI trade may be entering its second phase.

The first phase was about belief.

Investors believed AI would transform the economy, and companies rushed to build the infrastructure required to make that happen.

The second phase is about returns.

Investors now want to see whether all those billions — and eventually trillions — of dollars being invested can produce sustainable revenue and profits.

Alibaba's $10.2 billion fundraising is therefore more than a Chinese tech story.

It's a glimpse into the next stage of the global AI race.

AI spending is no longer the story.

AI returns are.

And this week, Nvidia may give investors their clearest indication yet of whether the market has been right to keep betting on the AI boom.