artificial intelligence

Global energy demand is accelerating, and organizations are increasingly turning to nuclear power to secure stable, long-term electricity supplies. Advances in AI, modular design, and predictive analytics are helping overcome legacy hurdles of cost, complexity, and schedule, while business leaders shift capital toward projects that prioritize resilience as much as efficiency.

America’s power producers face growing pressure to do more with less. A rapidly evolving grid, increasing demand, aging infrastructure, and policy uncertainty have created a system where traditional approaches to reliability are no longer enough. The North American Electric Reliability Corporation (NERC) recently issued its 2025 RISC report, highlighting the leading risks facing America’s power […]

The Nuclear Regulatory Commission (NRC) has accepted for review initial portions of a combined license application (COLA) from Dallas-based Fermi America to build and operate four Westinghouse AP1000 reactors in Carson County, Texas. The proposed project—which will be called the “President Donald J. Trump Advanced Energy and Intelligence Campus” (also known as Project Matador)—is slated […]

The increasing power demands of data centers are adding urgency to grid resiliency and renewable energy projects. Data center electricity use is expected to grow 300% by 2035 as hyperscale cloud computing companies race to adopt new technologies, including artificial intelligence (AI). Renewable energy and microgrid solutions will play an essential role in the digitalized and electrified future.

Efficient liquid cooling supported by reliable instrumentation is essential for data centers to handle increased capacity demands in the age of artificial intelligence (AI) and other heavy compute applications. The landscape of data processing has undergone a seismic shift recently, with today’s artificial intelligence (AI) and high-performance computing (HPC) applications requiring computational power at a […]

An energy infrastructure company said it’s moving forward with the GW Ranch project, an off-grid complex in Texas that will combine natural gas-fired generation and battery energy storage to provide nearly 7 GW of power in Pecos County. The campus, sited on more than 8,000 acres, is designed “to support hyperscale data centers and the […]

Solar energy generation from a rooftop panel system can be monitored quickly and easily, an example of how artificial intelligence (AI) and digital tools are empowering businesses to optimize energy use and contribute to a decentralized, decarbonized grid. The energy transition is accelerating. Electrification is surging, renewable power generation is expanding and energy consumption patterns […]

The power and utility sector underpins every part of modern life, from residential comfort to industrial productivity. Yet, as the global energy landscape evolves, so must the internal operations that keep these organizations running. COMMENTARY With total U.S. power use expected to reach around 4,189 billion kWh in 2025, and 4,278 billion kWh in 2026, […]

Artificial intelligence (AI) is evolving, and so is the demand for the infrastructure behind it. However, for those looking to build a sustainably conscious system, this growth raises a crucial question: What does an energy-efficient data center system look like? While rightfully, much of the attention has focused on controlling energy usage of bigger systems […]

More than 100 of the world’s largest energy companies are betting that artificial intelligence (AI) will revolutionize how electricity gets made, moved, and managed. But they’re not waiting for Silicon Valley to build it for them—they’ve taken matters into their own hands through an EPRI-led consortium. That initiative is the Open Power AI Consortium, which […]

The convergence of artificial intelligence and digital twin technology is emerging as a transformative solution, enabling power producers to shift from static control systems to dynamic, self-optimizing

From healthcare to aviation, artificial intelligence (AI) is increasingly being used to close operational gaps and garner efficiencies in key industries. Indeed, 78% of respondents in McKinsey’s State of AI Survey for 2025 indicated that their organization is using AI for at least one business function. This year and beyond, the question of AI adoption […]

The challenge posed by surging demand for electricity from data centers and high-performance computing facilities presents an ideal time for innovative energy solutions that efficiently improve grid reliability and increase the availability of clean, affordable electricity. Not only does the U.S. risk missing more than $100 billion of artificial intelligence (AI) market growth over the […]

The U.S. is bracing for a reality where artificial intelligence and data centers overwhelm the power grid, and rightfully so, as America seeks to lead the global AI race. But this push is coming at the same time that the federal government is reshuffling fiscal priorities and prioritizing energy independence. While that dynamic may seem like a challenging juxtaposition, one thing is clear: regardless of political affiliation or preferred priority, if the U.S. wants to lead the world in AI, it must power it first.

Taiwan is among several countries experiencing an energy crisis, with its supply of power struggling to keep up with demand from a rapidly growing high-tech sector. The country has long depended on imported

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by 1.5% to

As artificial intelligence (AI) usage and sophistication grows, questions about the sustainability of the traditional model of utilizing huge, centralized data centers are frequently raised. Hyperscale data centers handle most AI workloads today, but they come with high energy demands and environmental costs.

In the ongoing effort to improve the profitability of energy production and delivery while mitigating the risks, companies are incorporating artificial intelligence (AI) to drive more powerful, effective analytics. This technological leap is critical as the industry navigates evolving demands, embraces new sources, and strives for greater efficiency, reliability, and sustainability. However, some energy companies […]

Applied Digital, a builder and operator of next-generation data centers, has launched an infrastructure partnership with ABB at the company’s Greenfield 400-MW campus in North Dakota. TRhe collaboration will innovate fast, reliable, energy-efficient solutions to meet the rapid advancement of artificial intelligence (AI).

The Southwest Power Pool (SPP) regional transmission organization (RTO) is joining with energy technology company Hitachi on development of what the groups say is an artificial intelligence (AI)-based solution to support power transmission reliability and flexibility challenges.

While many utilities are hardening power grid infrastructure by upgrading poles and wires—a necessary step—brute force solutions alone won’t be enough. To truly future-proof the grid, resilience must be rooted in intelligence via systems that anticipate, adapt, and respond dynamically.

The uncertainty surrounding the global tariff war is reshaping the landscape of mergers and acquisitions (M&A) within the energy sector. This dynamic environment presents both challenges and opportunities for investors, compelling them to navigate a complex web of trade policies, supply chain disruptions, and geopolitical shifts.

AES Corp. announced the company has entered into two long-term power purchase agreements (PPAs) to support tech company Meta’s data centers. The deal announced May 21 is for 650 MW of generation from solar projects that AES is bringing online in Texas and Kansas, serving the Southwest Power Pool market.

A fleet of 100 Huaneng Ruichi autonomous electric mining trucks, the first of its kind in the world, has officially entered operation at the Yimin open-pit mine in Inner Mongolia, China. Powered by a 5G-Advanced (5G-A) network, the mine became the world’s first open-pit mine to achieve large-scale vehicle-cloud-network synergy, which has greatly improved production […]

Behind the scenes of every new artificial intelligence (AI) app and program is a staggering amount of energy needed to power its data centers. We’re already in the throes of the AI revolution and with

As wind and solar dominate global investment in renewable energy, hydropower’s potential to enhance grid resilience and expand energy supply remains largely untapped, and that potential is only expanding with the integration of advanced technologies like artificial intelligence (AI).

In an era where grid modernization, decarbonization, and electrification dominate utility agendas, fleet management strategies are lagging behind. Many utility and power generation providers continue to rely on outdated vehicle management platforms that lack the advanced total cost of ownership (TCO) analytics needed to support today’s evolving operational and sustainability goals.

Today’s data centers, the workhorses of our digital economy, face a paradox. While they are asked to fuel the rapid advancement of generative AI, they must do so under increasingly tight energy budgets, with sustainability mandates and power constraints threatening to slow innovation. The question isn’t whether AI will transform industries—it already is—but whether our infrastructure can keep up without buckling under the weight of AI’s energy appetite.

PJM, the largest grid operator in North America, has launched a multiyear partnership with tech giant Google and its Alphabet X moonshot Tapestry to streamline PJM’s grid interconnection process using artificial intelligence (AI) tools. The companies said the effort could significantly improve planning and decision-making as grid pressures intensify. Under the initiative, announced on April […]

As the artificial intelligence (AI) boom drives exponential demand for data centers, the United States’ position as an AI leader is at risk without immediate action to address growth constraints.