Elon Musk’s xAI faces backlash for worsening Memphis smog
- xAI has installed at least 18 gas combustion turbines at its Memphis data center without proper permits.
- These turbines are estimated to emit 130 tons of nitrogen oxides annually, exacerbating the city's existing smog problem.
- Environmental groups are calling for an investigation into xAI's operations due to potential violations of air quality regulations.
Elon Musk's xAI is facing criticism for allegedly worsening air quality in Memphis, Tennessee, due to the unauthorized use of gas turbines at its data center. Environmental groups have raised concerns about the installation of at least 18 gas combustion turbines, which are believed to emit significant amounts of nitrogen oxides (NOx), contributing to the city's existing smog issues. Memphis has already received an 'F' grade for air quality from the American Lung Association, highlighting the severity of the pollution problem in the area. The Southern Environmental Law Center has formally requested an investigation from local health authorities and the Environmental Protection Agency (EPA) regarding xAI's operations. The letter emphasizes that the turbines could emit an estimated 130 tons of nitrogen oxides annually, positioning them as a major source of air pollution in the county. The company has plans to transition to using power from local utilities, but the immediate impact of the turbines is concerning to health advocates. Musk's xAI has begun training its AI models using a substantial number of Nvidia processors, which has drawn attention to the facility's energy needs. While the company aims to utilize local utility power, the current reliance on gas turbines raises questions about regulatory compliance and environmental responsibility. This situation is not unprecedented for Musk's ventures, as previous companies have faced scrutiny for operating without necessary permits. The Shelby County Health Department has indicated that the EPA oversees mobile gas-burning turbines, while local regulations apply to stationary ones, suggesting a complex regulatory landscape that xAI must navigate.