Connexion
Nowhere is the US data center boom bigger than in Texas. But less than a year after declaring Texas the “epicenter of AI development,” Governor Greg Abbott has declared a moratorium on all new power grid connections for data centers—at least until developers provide more information about their projects’ potential impacts on the grid and communities.
The Republican governor directed regulators in an August 3 announcement at the Public Utility Commission of Texas and the grid operators at the Electric Reliability Council of Texas (ERCOT) to perform a “comprehensive verification and audit of all data centers advancing through ERCOT’s interconnection process.” As an independent system operator, ERCOT oversees a power grid that operates separately from the rest of the United States and provides services to most of Texas.
Texas has aggressively courted data center development with its availability of cheap land and relatively abundant energy resources, along with offering state incentives, like tax breaks and fewer regulations. That puts the state on track to surpass Virginia in becoming the largest US data center market.
Verizon is seeking to tap into Silicon Valley’s AI spending in a big way. The telecom giant revealed a deal worth more than $1 billion to link Google data centers using Verizon’s dark fiber routes—and it’s also tearing copper wiring out of central offices as it converts them into small data centers suitable for supporting AI inference workloads.
The telecom company publicly disclosed the Google partnership and data center conversion efforts as part of a new “AI Connect” business initiative during an earnings conference call covering the second quarter of 2026. Verizon also expects to announce additional AI-related deals by the end of the year that would be “worth multiple billions of dollars in revenue over the next several years,” said Dan Schulman, CEO of Verizon Communications, during the earnings call.
“Now it really is about, 'how do you connect data center to data center to assure that you can optimize to maximize the ever-exploding need for compute?'” Schulman said. “And while that data center connectivity demand is exploding, there's an equal amount of desire and demand to power inference models and applications that need ultra-low latency, like robotics or remote surgery, autonomous driving, and move that out into the edge, as opposed to these big, massive data centers.”
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