Google Earns More Money and Plans Huge Data Center Expansion

Alphabet, Google's parent company, made more money in the third quarter of 2024 than the year before. The company brought in $88.3 billion in total revenue—a 15% increase from the same period last year. At the same time, Google announced a major plan to build new data centers across several U.S. states. Data centers are the large warehouse-like buildings filled with computers that store and process information.

Google Services, the division that includes Google Search and YouTube, earned $76.5 billion in the quarter. The company also made money more efficiently: its operating profit jumped 34%, meaning more of every dollar earned turned into actual profit. Profit itself rose 34%.

Where Google Plans to Build

Google is investing $61 billion across four states to build new data centers and cloud infrastructure. The biggest commitment is $40 billion for Texas, where the company will build multiple large computing facilities. Virginia will get $9 billion through 2026. Oklahoma gets another $9 billion over two years. A final $3 billion is earmarked for Virginia and Indiana combined.

These data centers serve a specific purpose: they handle the computing demands of artificial intelligence tools, particularly large language models like ChatGPT. These systems require enormous amounts of processing power, and Google is betting that demand will keep growing. Think of it like building more power plants when you expect electricity demand to rise.

Training People to Work With AI

Google announced a separate $75 million program to teach artificial intelligence skills to one million Americans at no cost. The company also committed $1 billion more broadly to education and job training across several states.

The training makes practical sense. Google needs skilled workers to operate and maintain these new data centers once they are built. But the company is also addressing a real shortage in the job market. Experts in artificial intelligence, machine learning, and AI safety are in short supply, and companies everywhere are competing to hire them.

How This Compares to Previous Years

Google's growth in 2024 marks a turnaround from its recent past. In late 2022, the company's quarterly revenue growth had slowed to just 1% year-over-year. The shift now is significant: the company is once again growing faster and becoming more profitable.

Several factors explain the improvement. Digital advertising—Google's core business—has stabilized after a slowdown. Cloud services are bringing in more revenue. And Google is beginning to make money from new AI features built into its products.

The broader context here is worth understanding. In 2008 and 2009, when the recession hit, Google cut costs but kept spending heavily on research and development—particularly on mobile technology. That bet paid off years later when mobile phones became central to how people use the internet. The infrastructure investments today follow a similar logic. Google is betting that the AI tools people want to use will require vastly more computing power than exists today, and that companies willing to invest now will capture that future demand.

Why These Specific States

Google chose Texas, Oklahoma, Virginia, and Indiana for practical reasons. These states have cheaper electricity, which matters when you are running thousands of computers constantly. They also have good regulatory environments for technology companies and existing fiber-optic cables that connect the buildings to the internet. The locations also provide insurance against a disaster: if something damages one data center, others in different states can still function.

Virginia is particularly important. It already hosts significant data centers for Google's competitors, Amazon and Microsoft. By expanding there, Google is strengthening its position in a region where cloud computing infrastructure is concentrated.

What This Means

Google's announcements signal confidence that artificial intelligence will continue to grow in importance and use. The company is essentially betting that businesses and individuals will want to use AI tools at much larger scales in the coming years, requiring even more computing power than the substantial amounts that exist today.

Other large technology companies are making similar bets. Microsoft and Amazon have also announced major data center expansions. When multiple large competitors move in the same direction, it usually indicates genuine industry consensus rather than hype.

In my view, the decision to invest in workforce training alongside infrastructure is the more interesting part of the announcement. Data centers filled with powerful computers do not run themselves. They need people who understand how they work and can maintain them. Without that talent, all the computing power in the world becomes hard to use effectively. Google is trying to solve both problems at once—building the buildings and training the people.

The company's strong earnings give it the cash to afford these investments without having to slow down its other projects. The profit margin expansion—meaning the company is more efficient at turning revenue into profit—suggests the cost discipline needed to manage such enormous spending plans.