Meta is preparing a massive new AI campus in the US, with the project reportedly carrying a $10 billion price tag and a target launch in 2028. The plan points to how aggressively major technology companies are expanding the physical infrastructure needed to support artificial intelligence.
The investment reflects a broader shift in priorities across the industry. As AI competition accelerates, companies are spending heavily not just on software and models, but also on the data center campuses, computing hardware and power capacity required to train and run advanced systems at scale.
The size of Meta's spending also suggests that AI infrastructure is becoming a major driver of capital allocation across the tech sector. Large projects like this can influence where money flows, with knock-on effects for related markets and industries that are tied to the broader digital economy, including crypto-focused areas.
At the same time, the planned campus adds to growing questions about the environmental cost of the AI boom. Rising electricity demand, data center expansion and the sustainability of large-scale computing are becoming central concerns as companies race to build the next generation of AI infrastructure.
