Four hundred gigawatts is an extraordinary amount of electricity.
That's the scale of data center connection requests Texas officials are now evaluating—and why Governor Greg Abbott has ordered a review of projects seeking access to the state's power grid.
The requests aren't projections of future demand. They're connection applications submitted by companies hoping to build new facilities.
Texas' grid operator, ERCOT, currently serves peak demand of roughly 85 gigawatts. The fact that proposed data center projects alone are requesting several times that amount has prompted state officials to examine how projects are reviewed and prioritised.
Abbott has directed state agencies to assess how proposed data centers are vetted, whether speculative applications are congesting the interconnection queue and how those requests affect long-term electricity planning.
Texas already hosts more than 500 data centers, more than any other U.S. state, making the outcome of the review significant for the broader AI infrastructure industry.
Why Power Requests Have Surged
Much of the increase is being driven by artificial intelligence.
Training and operating large AI models requires enormous computing capacity, prompting cloud providers, AI companies and infrastructure developers to secure land and electricity well before construction begins.
Energy analysts have warned that many developers submit applications in multiple locations before making final investment decisions, meaning proposed capacity often exceeds what will ultimately be built.
That creates a planning challenge for grid operators.
If every request is treated as future demand, utilities risk investing billions in generation and transmission infrastructure that may never be fully utilised, with those costs ultimately passed on to customers.
A Challenge Beyond Texas
Texas is not alone.
States including Virginia, Georgia and Arizona have also experienced rapid growth in data center development, forcing utilities and regulators to balance economic opportunity with grid capacity and long-term infrastructure planning.
Texas stands out because its business-friendly environment and streamlined permitting process have made it one of the country's most attractive locations for large-scale data centers.
The audit does not necessarily signal that projects will be delayed or rejected, but it does suggest greater scrutiny as AI infrastructure continues to expand.
What This Means for Miami
Florida has not experienced data center growth on the scale seen in Texas, but the underlying challenge is becoming increasingly relevant.
South Florida's data center footprint continues to expand alongside growth in fintech, cloud computing and AI-driven businesses across Miami, Fort Lauderdale and Doral.
Unlike Texas, Florida has not relied on abundant, low-cost electricity as a central part of its technology strategy. That gives state regulators an opportunity to learn from the challenges emerging elsewhere and strengthen planning before demand accelerates further.
For Miami's investors and enterprise AI companies, the lesson extends beyond tax incentives and real estate.
Reliable access to power is becoming a strategic consideration for any business deploying compute-intensive AI infrastructure.
As AI adoption grows across healthcare, financial services, logistics and other industries, energy infrastructure may become just as important to Miami's long-term competitiveness as its talent pipeline and business climate.