FINANCE

This Tech Giant Is Investing $75 Billion on AI. Is It Time to Buy?


On Feb. 4, Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL) reported mixed performance in the 2024 fourth quarter. Revenue was up 12% year over year to $96.5 billion, lower than the Wall Street target of $96.67 billion. Earnings per share (EPS) rose 31% to $2.15, barely beating analysts’ consensus estimate of $2.13.

Investors were mainly disappointed with Google Cloud’s top line as revenue of $12 billion fell short of the consensus estimates of $12.2 billion. The market has also raised concerns about the future of Alphabet’s free cash flows and margins in the face of aggressive plans for capital expenditures (capex) of $75 billion in 2025, a dramatic increase from $52.5 billion in 2024.

Not surprisingly, shares are down more than 9% since the earnings release.

The stock has also been hurt by Chinese start-up DeepSeek’s claims of developing a large language model with capabilities comparable to OpenAI’s GPT4 at significantly lower costs. With the market questioning the huge level of AI spending, investors are also concerned about the monetization prospects of Alphabet’s chatbot Gemini.

Although these challenges cannot be ignored, the business’ fundamentals and financials are still strong. The company generated free cash flow of $72.8 billion and returned $70 billion to shareholders in 2024. Here are some other key reasons it can be a smart pick in 2025.

Alphabet has been at the forefront of the ongoing AI revolution with its multifaceted strategy. The company unveiled its most capable AI model, Gemini 2.0, in December 2024, mainly to target the rapidly expanding agentic AI market. The company has also released the workhorse Gemini 2.0 Flash model focused on faster movement of data and enhanced performance for developers and customers.

And it has been aggressively infusing AI features across all of its seven key products and platforms — such as search, advertising, and the cloud — to increase usage and expand possible functions for its AI.

The adoption of this technology has been a major growth catalyst for its cloud business, whose customers are using computing capacity over eight times more for AI training and inferencing compared to 18 months ago. And management has been working on leveraging AI capabilities to optimize efficiency across its entire technology stack, which includes hardware, software models, and products.

With Alphabet gearing up to spend $75 billion in capex mainly on technical infrastructure, including data centers and servers, the company may see much faster growth for the now capacity-constrained Google Cloud. Margins may also improve, as management prioritizes AI technologies that enable cost efficiencies.



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