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Investors punish Big Tech AI expenditure that results in slower growth

Investors responded this week to Big Tech's earnings with a harsh warning: They will forgive companies that spend record amounts if they bring solid growth but punish them if they don't. This shows how the stakes have changed in three years since ChatGPT was launched.

Meta Platforms, which owns Facebook, saw its revenue surge by 24% during the quarter ending December. This was due to online advertising targeting that was boosted?by artificial Intelligence.

AI was also responsible for a first quarter revenue forecast that surpassed estimates. Meta's increasing sales were able to?fund? data-center spending expected to rise by as much as 87% to $135 billion this year.

John Belton said, "Meta’s headline figures are an interesting reflection of market sentiment toward AI spending," said John Belton.

The market is usually concerned about the first quarter, but the company has a large revenue forecast.

Microsoft's Azure cloud computing business grew only marginally above expectations and also fell far behind record quarterly spending.

OpenAI, a prized holding that accounts for 45% in the backlog of AI projects, is a concern. It could put $280 billion at risk if the startup fails to gain momentum.

Zavier Wong is a market analyst for eToro. He said that Microsoft's close ties with OpenAI are what underpins its leadership in enterprise AI. But they also?introduce a concentration risk.

ChatGPT's creator issued a "code-red", or internal warning, in December when Google's Gemini 3 was launched and received positive reviews. He is now playing catch-up with Anthropic's Claude Code in AI coding.

Microsoft shares dropped 6.5% after-hours on Wednesday while Meta's soared 10%.

Microsoft, which has benefited from its early-mover advantage in the OpenAI space to become the most valuable company on the planet by 2024, is now facing increasing investor pressure to justify the high capital expenditure.

The company predicted that Azure's growth would?stay steady? in the period between January and?March 2025 after a slowdown in the final three months of the year, which was partly attributed to AI chip capacity limitations.

Amy Hood, Microsoft's finance chief, said that if she had allocated all the graphics processing units (GPUs) that were just brought online in the second and first quarters to Azure, then the KPI would have increased by over 40%.

She also added that using chips for internal development had limited growth.

META BET ON AI'S COMPOSING EFFECT

Meta's aggressive push in the AI race, which included a talent battle and a pledge to invest hundreds billions of dollars into massive new datacenters for "superintelligence", paid off during the first quarter.

Meta predicts that growth will accelerate to as much as 33 percent in the current quarter.

It is also racking up large bills with cloud providers like Alphabet's Google. This bodes well for Alphabet's search giant's next-week results.

Mark Zuckerberg, Chief Executive Officer of Facebook, said that AI would "improve the quality of both the organic experience as well as advertising."

Zuckerberg promised that superintelligence - a theoretical milestone achieved when machines surpass humans - will allow it to offer highly personalized artificial intelligence for a large user base of social media users.

Meta, who predicted that total expenditures would increase by 43% this year to $169 Billion, said: "I believe that it will have a compounding effect."

TESLA SET TO DOUBLE OUTLAY ?THIS YEAR

Elon Musk’s Tesla also focuses on increasing spending, as the company doubles its expenditure this year, to $20 billion, and pivots towards AI, humanoid robotics, and autonomous vehicles.

Tesla's shares retreated after a 3.5% rise in quarterly revenue and profit, which were higher than expected.

Analysts noted that the results revealed a mismatch between the corporate AI goals of investors and their demand for payouts.

Jesse Cohen is a senior analyst with Investing.com. He said that the market seems to be wondering if these massive capital spending hikes will produce sufficient returns.

This reflects the growing gap between Wall Street's tolerance for long-term investment cycles and tech companies' AI aspirations.

(source: Reuters)