AI boom drives demand for energy, copper and infrastructure Image By EPN Staff Key Points The growth of artificial intelligence is constrained by access to electricity, copper, and rare-earth metals, reshaping supply chains and national infrastructure priorities. Federal and state leaders are split between accelerating power generation for AI (emergency grid auctions, regulatory exemptions) and slowing expansion to protect consumers and resources. Rising electricity demand from data centers could push U.S. power rates up roughly 8% by 2030, making AI-driven infrastructure growth a household economic issue, not just an industry concern. Tech giants, including Google and Meta, are fueling the next wave of artificial intelligence, and this time the spotlight is on energy, metals and rare-earth minerals. Quick and scalable access to electricity has become critical for companies that have gone all in on AI, pushing them to invest in energy production and infrastructure at an unprecedented scale. Regions like Texas, with abundant natural gas and renewable energy potential, have emerged as key hubs to meet the surging demand, signaling a shift away from Silicon Valley. Why it matters The AI-driven energy surge is prompting policy action. The Trump administration, along with 13 governors, is urging PJM Auctions, the U.S.’s largest electrical grid operator, to hold emergency auctions exclusively for data centers, aiming to accelerate billions in new power plant construction. On the other side of the debate, Sen. Bernie Sanders (I-Vt.) has called for a moratorium on new data centers to ease pressure on resources, a move Democrats have rejected. Some states are experimenting with reforms that exempt certain industrial or off-grid energy providers from traditional regulations, allowing faster, private solutions to meet demand. These policy stances are due to the AI boom reshaping not just technology but the physical supply chain. Alphabet, Google’s parent company, acquired a clean power company for $4.75 billion earlier this year, signaling its intent to expand solar, wind and battery assets to power its data centers. Meta has signed agreements with nuclear energy providers, making it “one of the most significant corporate purchasers of nuclear energy in American history.” Copper, essential for wiring massive data centers, is in short supply, posting a 42% annual gain, its strongest performance since 2009. Demand for copper is expected to see a 50% jump by 2040, directly attributed to the AI boom. Rare earth metals, critical for AI hardware, are also in high demand, though the U.S. remains heavily reliant on foreign sources, with China accounting for roughly 70% of rare-earth mine output and 90% of refining capacity. The big picture For consumers, the rapid expansion of data centers could translate into higher electricity costs. Analysts at Carnegie Mellon estimate growth across the country could push rates up 8% by 2030, highlighting how technological advancement can ripple through everyday life. The rise of AI is no longer just a story about algorithms. Securing the energy and materials to power these systems — from copper and rare-earth metals to solar, wind and nuclear energy — is central to the industry’s growth, experts say. This intersection of technology, natural resources and policy is reshaping markets, guiding investment decisions and influencing the cost of energy for Americans. Stakeholders say as AI adoption scales, companies, regulators and consumers will need to adapt in real time to manage the economic and resource demands of this rapidly expanding sector. SUGGESTED STORIES Microsoft carbon emissions jump as AI and cloud demand rises Microsoft's carbon emissions surged in fiscal year 2024 due to growing energy demands for artificial intelligence and cloud computing, highlighting the challenges major corporations with ambitious climate goals face in a rapidly changing world. The company’s overall Read more The U.S. can be an AI leader with good energy policies This is a lightly edited excerpt of testimony recently provided to the U.S. Senate’s Energy and Natural Resources Committee during the hearing “Hearing to Identify Challenges to Meeting Increased Electricity Demand.” Demand for the AI and cloud Read more Market-based energy reforms let AI industry power itself State policymakers are making it easier for AI data centers and other large energy users to build their own off-grid power plants by exempting them from state utility regulations. So-called Consumer Regulated Energy (CRE) allows companies to generate electricity for Read more
Microsoft carbon emissions jump as AI and cloud demand rises Microsoft's carbon emissions surged in fiscal year 2024 due to growing energy demands for artificial intelligence and cloud computing, highlighting the challenges major corporations with ambitious climate goals face in a rapidly changing world. The company’s overall Read more
The U.S. can be an AI leader with good energy policies This is a lightly edited excerpt of testimony recently provided to the U.S. Senate’s Energy and Natural Resources Committee during the hearing “Hearing to Identify Challenges to Meeting Increased Electricity Demand.” Demand for the AI and cloud Read more
Market-based energy reforms let AI industry power itself State policymakers are making it easier for AI data centers and other large energy users to build their own off-grid power plants by exempting them from state utility regulations. So-called Consumer Regulated Energy (CRE) allows companies to generate electricity for Read more