In an effort to increase capacity for artificial intelligence projects, Alphabet’s Google announced on Friday that it would invest $40 billion in three new data centers in Texas.
The investment, which will be made until 2027, highlights the growing rivalry between cloud and AI service providers to develop infrastructure that can support sophisticated AI models.
Companies investing billions in new AI-focused data centers include OpenAI, Microsoft, Meta Platforms, and Amazon.
According to Google, two of the new data centers will be located in Haskell County, a region of West Texas close to Abilene, and one in Armstrong County, in the Texas Panhandle.
In a statement, Alphabet CEO Sundar Pichai stated, “This investment will create thousands of jobs, provide skills training to college students and electrical apprentices, and accelerate energy affordability initiatives throughout Texas.”
As part of its global network of 42 cloud regions, the corporation will also make investments in its current Midlothian site and Dallas cloud region.
In the same release, Texas Governor Greg Abbott remarked, “Google’s $40 billion investment makes Texas Google’s largest investment in any state in the country and…supports energy efficiency and workforce development in our state.”
As President Donald Trump advocates for investments to preserve the nation’s advantage in the AI industry, tech companies have announced large spending plans this year, with many concentrating on growing their U.S. footprint.
Anthropic announced earlier this week that it would invest $50 billion in data centers throughout the United States, including Texas and New York.
In an effort to increase its infrastructure and data center capacity in the largest economy in Europe, Google announced on Tuesday that it will invest 5.5 billion euros in Germany over the next several years.
Some analysts and investors have cautioned that the recent boom in AI investment is similar to previous tech bubbles, with valuations and spending exceeding short-term returns. They claim that if AI adoption does not increase at the same rate as capital spending, demand estimates might turn out to be over optimistic.