Texas is becoming a test case for one of the biggest questions facing electricity markets. As AI-driven power demand for data centers accelerates, grid operators are exploring whether large loads can do more than consume electricity – and instead become a source of flexibility when the power system is under stress. The answer depends on the workload. Cryptocurrency mines have already demonstrated they can respond quickly to wholesale prices, while AI and colocation data centers face much stricter reliability requirements. New policies are now pushing large data centers to demonstrate operational flexibility, even as developers weigh options such as on-site generation and demand response. So can flexible data centers help manage the next wave of electricity demand? And what can Texas teach the rest of the world about building power systems for the age of AI? On today’s show, Tom Rowlands-Rees is joined by BloombergNEF US power analyst Lara Kammen and senior associate Nathalie Limandibhratha, to discuss findings from the note “Data Center Flexibility to Relieve Power Prices in Ercot.”

Complementary BNEF research on the trends driving the transition to a lower-carbon economy can be found at BNEF on the Bloomberg Terminal or on bnef.com

Links to research notes from this episode:

Data Center Flexibility to Relieve Power Prices in Ercot - https://www.bnef.com/insights/39741

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