
"Artificial intelligence is setting off the biggest infrastructure buildout since the early internet boom. Only this time, the stakes are larger, the power demands are higher, and the local pushback is louder. The world's biggest tech companies are racing to build AI capacity because whoever controls the computing power may control the next decade of software, advertising, cloud services, and automation. But as investors chase chip stocks and AI winners, a new problem is emerging: communities increasingly do not want these giant facilities in their backyards."
"According to company guidance and analyst estimates from Goldman Sachs and Morgan Stanley, the Big Four hyperscalers - Microsoft, Amazon, Alphabet, and Meta Platforms - are expected to spend upwards of $725 billion combined this year on AI infrastructure, data centers, chips, networking equipment, and energy systems. That spending spree has created ripple effects throughout the economy."
"Surprisingly, some Wall Street analysts now describe data centers as the new railroads - foundational infrastructure supporting entire economic ecosystems. Simply put, AI cannot exist without massive physical construction projects. And these are not small server rooms anymore. Modern AI campuses can span thousands of acres, require dedicated substations, and consume as much electricity as mid-sized cities."
"That brings us to the proposed Stratos Project in Box Elder County, Utah. Backed by Shark Tank investor Kevin O'Leary, the AI data center campus would cover roughly 40,000 acres. Th"
AI-driven growth is triggering the largest infrastructure buildout since the early internet boom, with higher stakes and power requirements. Major hyperscalers are racing to secure AI capacity, since control of computing power can shape software, advertising, cloud services, and automation. Combined spending on AI infrastructure, data centers, chips, networking, and energy systems is projected to reach about $725 billion this year. Data centers are increasingly viewed as foundational infrastructure, requiring large physical construction projects. Modern AI campuses can cover thousands of acres, need dedicated substations, and consume electricity comparable to mid-sized cities. A proposed 40,000-acre Stratos Project in Utah illustrates how local resistance is becoming a new bottleneck.
Read at 24/7 Wall St.
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