Nvidia is investing up to $3 billion in Lancium, a Texas-based power infrastructure developer, while Amazon is backing a massive gas-fired power plant in Texas designed to generate up to 7.65 gigawatts of electricity for its data centers.
Both moves underscore AI's massive energy appetite: the Amazon facility could emit up to 33 million tons of CO₂ per year—the dirtiest power plant in the country—and Amazon has acknowledged that AI data centers could make hitting its climate goals harder.
What happened
Nvidia is investing up to $3 billion in Lancium, a power infrastructure developer, with a $2 billion stake giving it roughly 20 percent of the company valued at around $10 billion. Separately, Amazon is backing a massive gas-fired power plant in Pecos County, Texas, with 35 gas turbines designed to generate up to 7.65 gigawatts of electricity for an Amazon data center.
Why it matters
AI's energy demands are forcing tech giants to pour billions into new power infrastructure. The Texas gas plant could emit up to 33 million tons of CO₂ per year—making it the dirtiest power plant in the country—while Amazon admits its climate goals may become harder to hit. A climate scientist estimates that a heavy user of agentic AI burns about as much energy per year as a clothes dryer, a figure that is climbing.
What to watch
Lancium already has four gigawatts of power under contract in Texas and is developing sites for up to 15 more gigawatts. Environmental groups are raising alarms about health and pollution risks from the Amazon facility.
Amazon and Nvidia are making massive investments in power infrastructure to meet AI's soaring energy demands. According to reporting by The Information, Nvidia is investing up to $3 billion in Lancium, a power infrastructure developer that operates the OpenAI and Oracle data center in Texas. A $2 billion stake would give Nvidia roughly 20 percent of Lancium, which is valued at around $10 billion. Lancium already has four gigawatts of power under contract in Texas and is developing sites for up to 15 more gigawatts.
Amazon is pursuing a different but equally ambitious path. The company is backing a massive gas-fired power plant in Pecos County, Texas, equipped with 35 gas turbines designed to generate up to 7.65 gigawatts of electricity for an Amazon data center. According to the New York Times, the facility could emit up to 33 million tons of CO₂ per year, which would make it the dirtiest power plant in the country. Amazon spokesperson Margaret Callahan acknowledged that the company's climate goals still stand but admitted that AI data centers could make hitting them harder. Environmental groups are raising alarms about health and pollution risks from the facility.
The scale of these power investments underscores AI's extraordinary energy consumption. Climate scientist Zeke Hausfather estimates that a heavy user of agentic AI burns about as much energy per year as a clothes dryer, and that number is climbing. This context makes clear that infrastructure buildout is not optional for tech giants seeking to maintain their competitive position in AI; it is becoming a central business imperative. The investments also reveal a strategic divergence: Nvidia is backing an infrastructure partner to secure supply, while Amazon is directly developing generation capacity to ensure control over its own power future.
The surge in AI infrastructure investment reflects a fundamental challenge facing the tech industry: the computational power required to train and run advanced AI systems demands energy on a scale that strains existing infrastructure. Nvidia's $3 billion investment in Lancium signals that even the chip designer—not typically an infrastructure builder—sees controlling power supply as critical to maintaining its position in the AI boom. Lancium's existing four gigawatts under contract and plans for up to 15 more gigawatts suggest that Texas has emerged as a strategic hub for AI power infrastructure, likely due to available land, existing energy resources, and regulatory environment.
Amazon's commitment to a 7.65-gigawatt gas plant in Pecos County, however, exposes a tension between the industry's stated climate commitments and the near-term realities of powering AI at scale. The facility's potential 33 million tons of annual CO₂ emissions would make it the dirtiest power plant in the country—a fact Amazon's own spokesperson acknowledged could complicate the company's climate goals. Climate scientist Zeke Hausfather's observation that a heavy agentic AI user burns about as much energy per year as a clothes dryer, with that consumption climbing, underscores that the energy appetite is not static but growing. Environmental groups' concerns about health and pollution risks from the Amazon facility suggest this infrastructure race will face increasing public and regulatory scrutiny.
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