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On Sat, 14 Dec, 4:01 PM UTC
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Big Oil wants to help Big Tech power artificial intelligence data centers
Exxon Mobil and Chevron are jumping into the race to power artificial intelligence data centers, as the two oil majors bet tech companies will ultimately turn to natural gas to meet their tremendous energy needs. Exxon unveiled plans this week to build a natural gas plant to power a data center. The oil major says it would then use carbon capture and storage technology to reduce the emissions of the plant by 90%. "We're working with other large cap industrials to rapidly deploy a solution that would provide both high reliability and low carbon intensity power to meet the growing demand for computing power for artificial intelligence," Exxon Chief Financial Officer Kathryn Mikells told Wall Street analysts Wednesday without disclosing names of the companies' the oil major is working with on the project. The gas plant would not rely on the electric grid and would be independent of utilities, allowing faster installation than traditional power generation projects, Mikells said. Exxon has not disclosed a customer or a timeline for the project. Exxon has invested heavily in building a carbon capture network along the Gulf Coast with more than 900 miles of pipeline to transport CO2 from several industrial customers to permanent storage sites. The oil major estimates decarbonizing AI data centers could represent up to 20% of its total addressable market for carbon capture and storage by 2050. Chevron is also working on ways to power data centers, said Jeff Gustavson, president of the oil company's new energy business, at the Reuters NEXT conference on Wednesday. "This is something that our company is very well positioned to participate in," Gustavson said. Chevron is a major national gas producer with power generation equipment and very large tracts of land that could be used for data centers, the executive said.
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Exxon can't resist the AI power gold rush
AI continues to reshuffle power and energy markets with even oil giants like Exxon Mobil getting into the mix. Exxon announced this week that it's planning to build a power plant for data centers, reflecting just how much electricity tech companies expect they'll need in the coming decade. According to one estimate, nearly half of new AI data centers might not have enough power by 2027. The oil and gas company already operates power plants for its own operations, but the new project would be its first for outside customers. Though Exxon dabbles in renewable energy, the planned power plant would run on natural gas and generate over 1.5 gigawatts. In a twist, Exxon said that it intends to capture and store over 90% of the carbon dioxide the plant produces. The company isn't planning to connect the power plant to the grid, avoiding the interconnection backlog that has plagued many new power plants. In an annual strategy document published Wednesday, Exxon described the new project as "reliable, fully-islanded power with no reliance on grid infrastructure." It did not say where the power plant would be located. Exxon did not reply to a request for comment before publication. The facility should be completed within the next five years, the company told the New York Times. That's a shorter timeline than most nuclear power plants, which have caught the eye of energy-hungry tech firms. Most of those aren't scheduled to come online until the early 2030s. But Exxon faces stiffer competition with renewables, which have proven quick to deploy and continue to drop in price. Google's recently announced renewable energy investment, which including partners will total $20 billion, will start sending electrons to the grid in 2026. Microsoft is contributing to a $5 billion, 9-gigawatt renewable portfolio that has already made its first investment; the inaugural solar project is scheduled to come online six to nine months from now. Complicating matters for Exxon is the fact that carbon capture and storage (CCS) adds considerable cost to construction and operation of a fossil fuel power plant. So far, there are only a handful of power plants worldwide that capture some of their carbon pollution, according to the Global CCS Institute, and none of them run on natural gas. That may change given the tax credits available under the Inflation Reduction Act, which offer between $60 to $85 per metric ton of carbon captured and stored. Still, the technology has some kinks to work out at the commercial scale. Some have hit their targets, while others have fallen far short. One long-running CCS facility in Canada promised to capture 90% of the carbon dioxide from a small coal plant, yet after nearly a decade in operation, it managed to capture just under 60%, according to the Institute for Energy Economics and Financial Analysis.
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Exxon Mobil and Chevron are venturing into powering AI data centers with natural gas plants, aiming to meet the growing energy demands of tech companies while implementing carbon capture technology.
In a surprising turn of events, oil giants Exxon Mobil and Chevron are making significant strides into the artificial intelligence (AI) sector, not through developing AI technologies, but by addressing the critical power needs of AI data centers. This move highlights the increasing energy demands of the tech industry and the potential for traditional energy companies to adapt to changing market dynamics.
Exxon Mobil has unveiled plans to construct a natural gas plant specifically designed to power AI data centers 1. The company aims to reduce emissions by 90% through the implementation of carbon capture and storage (CCS) technology. This project represents Exxon's first venture into providing power for external customers, marking a significant shift in their business strategy 2.
Key features of Exxon's proposed power plant include:
Not to be left behind, Chevron is also exploring ways to power data centers. Jeff Gustavson, president of Chevron's new energy business, emphasized the company's advantageous position in this market, citing their:
The move by these oil majors is driven by the tech industry's rapidly increasing energy needs. Estimates suggest that nearly half of new AI data centers might face power shortages by 2027 2. This growing demand presents a significant opportunity for energy companies to diversify their portfolios and tap into a new market.
Exxon's strategy heavily relies on carbon capture and storage technology to mitigate the environmental impact of natural gas power generation. The company plans to capture and store over 90% of the carbon dioxide produced by the plant 2. However, the effectiveness of CCS technology at commercial scale remains a point of debate, with some existing projects falling short of their capture targets 2.
While Exxon and Chevron are making bold moves, they face stiff competition from renewable energy sources. Companies like Google and Microsoft are investing heavily in renewable energy projects, which are proving to be quick to deploy and increasingly cost-effective 2.
Additionally, the implementation of CCS technology adds considerable costs to both construction and operation of fossil fuel power plants. The success of these projects may depend on tax credits available under the Inflation Reduction Act, which offer between $60 to $85 per metric ton of carbon captured and stored 2.
This convergence of Big Oil and Big Tech represents a significant shift in the energy landscape. It demonstrates the adaptability of traditional energy companies in the face of changing global energy needs and highlights the enormous power requirements of advancing AI technologies. As these projects develop, they will likely shape the future of both the energy and technology sectors, potentially influencing policy decisions and market trends in the coming years.
Reference
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Major oil companies are shifting focus to powering AI data centers as traditional oil markets face challenges. This strategic move aims to capitalize on the growing energy demands of Big Tech's AI ambitions.
3 Sources
3 Sources
Microsoft is exploring the use of natural gas with carbon capture technology to power its AI data centers, balancing the increasing energy needs of AI with its net-zero commitments. This shift comes as the tech industry realizes renewables alone may not meet the power demands of expanding data centers.
3 Sources
3 Sources
The rapid growth of AI is straining power grids and prolonging the use of coal-fired plants. Tech giants are exploring nuclear energy and distributed computing as potential solutions.
4 Sources
4 Sources
The rapid growth of AI is driving unprecedented energy demands, prompting discussions on the future of clean energy and the potential resurgence of natural gas in the power sector.
3 Sources
3 Sources
The rapid growth of artificial intelligence is causing a surge in energy consumption by data centers, challenging sustainability goals and straining power grids. This trend is raising concerns about the environmental impact of AI and the tech industry's ability to balance innovation with eco-friendly practices.
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