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Why Google stock fell while Microsoft rose after Q3 earnings

Alphabet and Microsoft delivered strong artificial intelligence growth in their latest earnings reports.

Investors reacted very differently.

Alphabet shares fell about 10% in after hours trading after its third quarter results.

Microsoft shares gained more than 3%.

The difference was not simply about revenue growth.

Both companies showed strong demand for cloud and AI services.

The market focused instead on a more difficult question.

How much cash is left after paying for the AI expansion?

Google Cloud growth was not enough

Alphabet reported third quarter revenue of $127.6 billion.

That was slightly below Wall Street expectations of about $128.2 billion.

Google Cloud remained the strongest part of the report.

Revenue from the business more than doubled to $30.71 billion.

Its backlog reached $561 billion, giving Alphabet significant future contracted revenue.

Demand for Google's AI infrastructure also remains strong.

The company highlighted increasing sales of its own TPU systems, which compete with Nvidia GPUs in some AI workloads.

Those numbers suggest Google is not losing the AI infrastructure race.

The problem came from elsewhere.

Search growth slowed as AI spending accelerated

Advertising remains Alphabet's largest business.

Third quarter advertising revenue reached about $82 billion but missed expectations of $83.4 billion.

Google said greater use of AI Mode contributed to weaker search advertising growth.

The company is still testing how advertising will work inside its AI based search experience.

This creates an important challenge.

Google is spending heavily to protect its position in search.

At the same time, the product it is building could change how users interact with the traditional advertising model that generated most of its profits.

Investors therefore face two risks.

Google must spend enough on AI to remain competitive.

It must also prove that AI does not weaken the economics of its core search business.

Alphabet burned $9.1 billion in cash

The biggest concern came from free cash flow.

Alphabet reported negative free cash flow of about $9.1 billion during the quarter.

This followed negative free cash flow of roughly $5.9 billion in the previous quarter.

It is a major change for a company that historically generated enormous amounts of cash.

The reason is AI infrastructure.

Alphabet expects capital expenditure of roughly $195 billion to $205 billion this year.

Management also said spending is likely to rise significantly again in 2027.

The company is investing in data centers, chips, networking equipment and AI computing capacity.

Demand may justify that investment over time.

The market wants evidence that returns can grow at a similar pace.

Microsoft gave investors a different answer

Microsoft is also spending heavily on AI.

Its quarterly capital expenditure reached $45.2 billion.

That figure was higher than a year ago and shows that Microsoft is not reducing its infrastructure ambitions.

The difference is what happened to cash flow.

Microsoft generated $18.6 billion in free cash flow during the quarter.

That was roughly $10 billion above market expectations.

The company therefore showed investors that it can continue spending aggressively while still producing large amounts of cash.

That distinction helped Microsoft shares rise after the report.

Azure growth remains strong

Microsoft's Azure cloud business grew 48% to $33.17 billion.

That was above market expectations.

Management expects Azure growth to accelerate to between 49% and 50% in the next quarter.

Overall revenue increased 20% to $92.28 billion.

Adjusted earnings reached $4.89 per share, also beating expectations.

The results suggest Microsoft is converting AI infrastructure demand into revenue without putting the same pressure on cash generation seen at Alphabet.

Microsoft still faces risks.

Its infrastructure spending remains enormous.

Some planned capacity investment was delayed during the quarter rather than cancelled.

That means capital expenditure could rise again as those projects are completed.

But for now, investors appear more comfortable with the balance between spending and returns.

AI spending is no longer automatically bullish

The reaction to the two earnings reports reflects a broader change in the AI trade.

Earlier in the cycle, higher capital expenditure was often treated as positive.

More spending suggested stronger confidence in future AI demand.

That logic is becoming less convincing.

Meta, Alphabet and other large technology companies are committing hundreds of billions of dollars to AI infrastructure.

The combined AI related capital spending of major US technology companies is expected to exceed $700 billion this year.

Investors increasingly want to know how quickly that money comes back.

Revenue growth is still important.

Free cash flow is becoming just as important.

Google and Microsoft show two sides of the AI trade

Google Cloud more than doubled revenue.

Microsoft Azure grew nearly 50%.

Both figures confirm that enterprise AI demand remains strong.

The difference is how much financial pressure that growth creates.

Alphabet is currently sacrificing more cash to build capacity while its advertising business is showing signs of slower growth.

Microsoft is spending heavily but continues to generate substantial free cash flow.

That explains much of the difference in their stock reactions.

It does not necessarily mean Microsoft's AI strategy will outperform Google's over the long term.

Alphabet's $561 billion cloud backlog suggests future demand remains strong.

Its TPU business is also becoming a more meaningful competitor in AI infrastructure.

But the market is becoming less patient.

Strong AI demand is no longer enough on its own.

Investors increasingly want companies to show that AI growth can eventually fund itself.

Alphabet and Microsoft delivered two very different answers this quarter.

Author

Mindy

Mindy

MEXC

Mindy is a Digital Asset Market Analyst at MEXC, covering cryptocurrency market trends, macroeconomic developments, derivatives positioning, and digital asset market structure.

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