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Daily brief · All editions

June 10, 2026

Europe and Asia announced multiple gigawatt-scale sovereign AI factory buildouts this cycle while EIA's AEO2026 projects U.S. data center server consumption to reach 446-818 BkWh annually by 2050.

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103 tracked items · 3 desks

The day's read

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Operator brief

  1. Sovereign AI factory planning entered gigawatt-scale -- rising.

    NAVER (55 MW initial, gigawatt target via NVIDIA DSX), SK Telecom (gigawatt-scale, first Korean AI factory targeted for 2027), and Saudi Arabia's HUMAIN partnership with NVIDIA all announced infrastructure commitments this cycle. A Europe-wide Blackwell buildout announcement with multiple national partners was made at VivaTech. These are planning signals, not committed builds.

  2. U.S. grid economics are materially shifting under data center load -- rising.

    EIA AEO2026 projects standalone data center server electricity consumption to reach 446-818 BkWh by 2050. Virginia commercial electricity sales already grew approximately 30 million MWh between 2019 and 2025, the fastest absolute growth of any state except Texas, with data centers the primary driver.

  3. AMD EPYC Venice production ramp on TSMC 2nm confirmed -- flat.

    AMD announced the production ramp of its next-generation server CPU on TSMC's 2nm node, establishing a credible second high-volume 2nm server-class CPU. No volume or yield figures were sourced.

Quantum

  • P1 Ultra-high Q-factor superconducting tantalum resonators on 300mm Si wafers

    Demonstrates ultra-high quality factors in planar superconducting circuits fabricated on industry-standard 300mm silicon wafers.

    The read: Compatibility with 300mm fab lines narrows the gap between lab-demonstrated performance and manufacturable scale. This is a fabrication prerequisite for superconducting QEC deployments, not a system-level result.

  • P1 Coset Ensemble Decoder for Quantum Error Correction with Algorithm-Hardware Co-Design

    New decoder architecture targets simultaneous high logical accuracy and ultra-low latency for real-time QEC.

    The read: Real-time decoding latency is a binding constraint on practical fault-tolerant operation. This class of co-design work is directly on the critical path to utility-scale quantum computing.

  • P2 MDI-QKD and BB84 over 20 km Optical Channels via EOM-Tailored Weak Coherent States

    A reconfigurable platform demonstrates both measurement-device-independent QKD and BB84 over 20 km of fiber on shared hardware.

    The read: Multi-protocol reconfigurability on a single link reduces per-link hardware cost, lowering enterprise QKD deployment economics. 20 km is a deployment-relevant metropolitan range.

Chips

  • P1 AMD EPYC "Venice" Production Ramp Announced on TSMC 2nm

    AMD confirmed production ramp of its next-generation server CPU on TSMC's 2nm process.

    The read: Establishes the second high-volume 2nm server CPU product alongside Apple silicon. For AI inference workloads, Venice-class CPUs compete on memory bandwidth and PCIe connectivity with Arm-based alternatives. 2nm node validation is a positive signal for TSMC capacity.

  • P2 AMD Commits up to £2 Billion to UK AI Innovation

    AMD announced up to £2 billion in commitments directed at UK AI research and innovation.

    The read: The "up to" structure implies conditionality tied to project development milestones, not a lump disbursement. UK AI infrastructure positioning is consistent with AMD's parallel Taiwan commitments this cycle.

  • P2 AMD Announces More Than $10 Billion in Taiwan Ecosystem Investments

    AMD committed more than $10 billion to Taiwan ecosystem investments to accelerate AI infrastructure.

    The read: Combined with the UK commitment, AMD is signaling long-cycle capital allocation outside the United States. Taiwan relationships directly underpin TSMC node access; this is both a supply chain and a diplomatic positioning signal.

Power

  • P1 EIA AEO2026: Data Center Server Energy Projected at 446-818 BkWh by 2050

    EIA's long-term outlook projects data center server electricity consumption growing substantially, with standalone data centers growing faster than other data center types.

    The read: The 2x range between scenarios reflects uncertainty about AI workload intensity and efficiency trajectories. Even the low case implies materially higher long-run grid investment requirements than current planning cycles assume.

  • P1 Virginia Commercial Electricity Sales Grew ~30 Million MWh Between 2019 and 2025

    Virginia led all states except Texas in absolute commercial electricity growth over the period, driven primarily by data center concentration.

    The read: Northern Virginia is the most concentrated data center market globally; this rate of load growth is a leading indicator of the grid investment cycles other high-density markets will face as AI infrastructure scales.

  • P2 ERCOT Solar Forecast to Exceed Coal Generation for First Time in 2026

    EIA projects 78 BkWh of utility-scale solar in ERCOT in 2026, surpassing coal for the first time in the Texas grid.

    The read: A structural transition milestone for the grid serving significant AI infrastructure. Solar intermittency remains a balancing challenge; the concurrent natural gas pipeline buildout (see next signal) indicates gas remains the dispatchable backstop.

  • P2 44.9 Bcf/d of Natural Gas Pipeline Capacity Planned for 2026-2027, Over 66% from Texas

    EIA pipeline tracker shows 44.9 Bcf/d of planned U.S. pipeline capacity additions in 2026-2027, with more than 66% originating in Texas.

    The read: Pipeline capacity addition is a structural proxy for continued gas-backed dispatchable supply to the AI compute corridor. Alongside solar growth, this shapes the carbon intensity trajectory of AI campus power over the near term.

AI Compute

  • P1 NAVER Expands AI Infrastructure With NVIDIA, Starting at 55 MW With Gigawatt-Scale Plans

    NAVER announced a sovereign AI infrastructure expansion starting at 55 MW, with stated plans toward gigawatt scale using NVIDIA's DSX platform.

    The read: NAVER joining the DSX platform positions Korea's largest internet operator as a sovereign AI compute provider beyond internal workloads. The 55 MW-to-gigawatt framing matches sovereign AI announcement patterns seen in Europe and the Gulf; near-term execution should be evaluated against the 55 MW commitment, not the aspirational target.

  • P1 NVIDIA Germany-Based Industrial AI Cloud: 10,000 GPUs Including DGX B200 Systems

    NVIDIA announced a Germany-based AI factory for European manufacturers with 10,000 GPUs including DGX B200 systems and RTX PRO servers.

    The read: A concrete GPU count makes this more operationally verifiable than most sovereign AI announcements this cycle. Manufacturing-focused vertical (simulation, digital twins, engineering) differentiates it from general-purpose hyperscaler buildouts and signals a specific industrial demand thesis.

  • P2 SK Telecom Plans Gigawatt-Scale AI Cloud in Korea, First Factory Targeted for 2027

    SK Telecom announced plans to build a gigawatt-scale AI cloud in Korea via NVIDIA DSX, with the first AI factory targeted for 2027.

    The read: Telecom operators building sovereign AI clouds reduce hyperscaler dependency for national AI infrastructure. The 2027 timeline is concrete enough to treat as an investment signal for Korean power and grid operators.

  • P2 NVIDIA and SK hynix Announce Multiyear Technology Partnership for AI Factory Memory

    NVIDIA and SK hynix announced a multiyear partnership to develop next-generation memory for global AI factory buildouts.

    The read: AI factory deployments are increasingly memory-constrained at scale. A direct GPU-to-HBM vendor partnership signals shared roadmap alignment. Specific technical details needed before supply chain conclusions can be drawn.

  • P2 Foxconn and NVIDIA Build AI Factory Supercomputer in Taiwan With Government Backing

    Foxconn and NVIDIA announced an AI factory supercomputer in Taiwan, with the Taiwan government as a partner, targeting researchers, startups, and industry.

    The read: Foxconn's role as both an OEM manufacturer and now an AI factory operator signals vertical integration pressure in the AI infrastructure supply chain. Taiwan government backing frames this as a sovereign compute initiative.

Collected items by desk

Desk

Quantum

60 quantum research items collected on 2026-06-10; hardware, control, and industry signals routed.

All collected Quantum items (49)

Hardware and Error Correction

  • Coset Ensemble Decoder for Quantum Error Correction with Algorithm-Hardware Co-Design

    Reliable large-scale quantum computation relies on fault-tolerant architectures, where quantum error correction (QEC) continuously extracts and decodes error syndromes in real time. A critical component in QEC is the decoder, a classical subsystem that must simultaneously deliver high logical accuracy and ultra-low latency. This paper presents a novel algorithm-hardware co-d...

  • On pseudogap phase as precursor to a superconducting dome in high-Tc cuprates: Non-analytic T* as a function of doping

    We generalize the condition under which a quantum material exhibiting a pseudogap phase is a precursor to a superconducting (SC) dome. The result reveals the non-analytic T* as a function of doping. A well-known example is the high-Tc cuprates. Essentially, the SC dome is generated under two conditions: (1) that the pseudogap T* is a decreasing function of doping, due to the...

  • Bosonic Cyclic Codes: Trading Stabilizers for Gaussian Non-Clifford Phase Gates

    Bosonic codes offer hardware-efficient approaches to quantum error correction, with the best encodings offering effective protection of idle quantum information against loss and dephasing - particularly rotation-symmetric codes, which include the cat and binomial code families. However, rotation-symmetric codes are only naturally endowed with a single logical Pauli gate, whi...

  • Analog Quantum Asynchronous Event-Based Graph Neural Network

    Asynchronous, event-based graph neural networks (AEGNNs) have recently emerged as an efficient paradigm for processing the sparse and high-temporal-resolution data from event cameras. In this paper, we propose quantum analog AEGNNs (QA-AEGNNs), a novel framework to implement an AEGNN on a neutral-atom quantum computer. Neutral-atom quantum processors offer a programmable ana...

  • Inherent flux crosstalk and coupler-driven single-qubit gates in superconducting circuits

    Crosstalk refers to unwanted qubit addressing. This is particularly detrimental when scaling up quantum information systems because unintended interactions limit their overall performance. For superconducting qubits, tunable couplings and frequency tunability achieved through externally applied magnetic fluxes enable high-fidelity entangling gates; however, they also introdu...

  • Unitary Channel Testing Under a Depolarizing Noise Assumption

    We present fast algorithms unicodex2013 under the depolarizing noise assumption, often made in fault-tolerant quantum computations unicodex2013 to test its strength. Our optimal algorithms answer the following question: is the quantum channel implemented by a given black box identical to a target unitary or ε-far from it in the diamond distance, assumin...

  • Ultra-high Q-factor superconducting tantalum resonators on 300 mm Si wafers

    Superconducting resonators are central to superconducting quantum information technologies and essential for bosonic qubit architectures, where long-lived storage modes enable hardware-efficient error correction. Achieving ultra-high quality factors in scalable planar circuits is challenging because multiple dissipation channels contribute to the total loss. Here we report p...

  • Non-Hermitian scattering in SSH superconducting waveguides: exact Green-function reduction and dimerization-sensitive microwave functionalities

    We formulate an exact Green-function theory for non-Hermitian single-microwave-photon scattering by finite superconducting circuit subsystems embedded in an SSH waveguide. The structured SSH environment is integrated out exactly and enters the local scattering problem as an energy-dependent matrix self-energy, reducing the full open system to a finite-dimensional effective n...

Control and Quantum-AI Integration

  • The Yang-Baxter Equation for the Chiral Potts Model and Integrable Parafermions

    A new type of Yang-Baxter equation (YBE) for R-matrices parameterized by three spectral parameters is constructed from the star-triangle and star-star relations for the chiral Potts model. As the Z_N symmetric generalization to the Ising model, its Boltzmann weights are known to depend on two variables describing a curve with genus larger than one for N>2, except for t...

  • Experimental implementation of continuous-variable QAOA on a quad-rail lattice cluster state

    We experimentally demonstrate the continuous-variable quantum approximate optimization algorithm (CV-QAOA) for multi-variable problems and multiple QAOA depths using a measurement-based CV quantum computing platform on a quad-rail lattice (QRL) cluster state. We propose a systematic method to map arbitrary quadratic cost functions onto the QRL architecture and examine the re...

  • Neural-network solution of subtracted three-body Faddeev integral equations near the Efimov limit

    We apply a deep-neural-network (DNN) ansatz to the symmetrized spectator vector of the subtracted three-body Faddeev integral equation for identical bosons near the Efimov limit. The network is trained by minimizing the residual of the discretized integral equation, while the positive binding scale associated with the three-body energy is treated as a trainable parameter. De...

  • Trainability of IQP Quantum Circuit Born Machines Under Gaussian Initialization

    Quantum Circuit Born Machines (QCBMs) offer a natural approach to generative machine learning by leveraging the Born rule. Recent work has provided a method to classically train QCBMs with Instantaneous Quantum Polynomial (IQP) circuits via the Maximum Mean Discrepancy (MMD) loss. Despite the assumed intractability of sampling from IQP circuits classically, their expectation...

  • Towards the implementation of a quantum classifier

    In this work, we investigate the use of a quantum circuit as a binary classification model in the context of quantum machine learning. We call this model, binary quantum classifier. First, we describe fundamental concepts of quantum computing and introduce the computational tool used: Qibo, an open-source framework for efficient quantum simulations and quantum hardware contr...

  • VQA for Dynamic Portfolio Optimization: Sampling Strategies, Optimizer Scheduling, and Hardware-Aware Ansatz Design

    Variational quantum algorithms are increasingly explored for optimization problems at scales relevant to near-term quantum devices. Their practical performance depends strongly on design choices such as the sampling objective, classical optimizer, and ansatz layout before and after hardware transpilation. We study these factors for dynamic portfolio optimization, a multi-per...

Commercial and Industry Context

Unrouted Items

  • Quantum statistics in an extended collider coupled to a qubit

    Mesoscopic colliders provide an effective platform for probing the mutual statistics of quantum particles. Recent experiments have successfully extracted the mutual statistics of fermions, and more exotic anyons using quantum point contacts (QPCs). Coupling a point-like collider, such as a quantum point contact, to a two-level impurity or qubit can induce statistical transmu...

  • Interplay between photon condensation and electron-electron interactions in molecular systems

    We investigate a minimal molecular model consisting of square planar plaquettes hosting multiple electrons, whose dynamics is governed by a tight-binding Hamiltonian supplemented by on-site Hubbard repulsion. By coupling this system to a spatially nonuniform cavity mode, we analyze the emergence of a magnetostatic instability, namely photon condensation, originating from the...

  • Colloquium: Nuclear clocks

    The Th-229 nuclear isomeric state has the lowest energy of all known nuclear excited states, placing it within the reach of current table-top laser technology. This extraordinary property has made this nuclear isomer an attractive candidate for a nuclear optical clock of incredibly high precision and accuracy, both as isolated trapped Th-229 ions and embedded into solid-stat...

  • Revealing the topology of quantum states via Kirkwood-Dirac quasiprobabilities

    We discuss a theoretical approach to discriminate whether two states of a many-body quantum system belong or not to different topology classes. This approach is based on expressing a strange correlator - a recently established tool for quantum topology discrimination - between the states as a function of Kirkwood-Dirac quasiprobabilities (KDQs). KDQs provide a first-principl...

  • Adaptive identification of low-degree polynomials in quantum singular value transformation: application to nonlinear quantum properties estimation

    Estimating properties of unknown quantum states via quantum singular value transformation (QSVT) often requires high-degree polynomials to handle small eigenvalues of density matrices. Specifically, the existing approaches determine the polynomial degree by relying on overly conservative worst-case bounds based on the minimum non-zero eigenvalue or the rank of the density ma...

  • Nonreciprocal quantum rotation sensing via virtual-excitation enhancement in a spinning cavity

    Quantum sensing with high precision and sensitivity plays an important role in quantum technologies and quantum information processing. Here, we propose a nonreciprocal quantum metrological scheme for estimating rotational angular velocity in a hybrid light-matter platform, where the setup consists of a spinning ring cavity coupled to a two-level system and an auxiliary boso...

  • Robust self-testing based on Gisin's arbitrary-input Bell inequality

    Self-testing refers to the strongest device-independent (DI) certification method that validates the nature of a quantum system and devices solely based on the observed statistics. We demonstrate the self-testing of state and measurements based on the Gisin Bell inequality (GBI) featuring arbitrary inputs for both parties. We introduce a systematic and elegant sum-of-squares...

  • Random Matrix Theory for Chaotic Wave Scattering and Transport

    We review random matrix approaches to chaotic wave scattering and transport in open systems. Starting from the effective non-Hermitian Hamiltonian formulation, we discuss the scattering matrix, reaction matrix, time delays, and complex resonances as complementary probes of open chaotic dynamics. We emphasize universal statistics governed by symmetry, openness, and channel co...

  • Genuine Multipartite Nonlocality for Arbitrary Input: Maximal Randomness Generation and Robust Self-Testing

    Bell nonlocality provides the foundation for device-independent (DI) certification of quantum devices. We introduce a Bell inequality capable of identifying genuine multipartite nonlocality (GMNL) in an arbitrary m-partite scenario with an arbitrary odd number of measurements per party. Since the multi-setting nature of this inequality precludes the use of Jordan's Lemma, we...

  • Schmidt Decomposition-Based Methods for Efficient Quantum Image Encoding

    In quantum image processing, a fundamental step is encoding classical image data into quantum states. This can be achieved using methods such as Flexible Representation of Quantum Images (FRQI), Quantum Probability Image Encoding (QPIE), and Novel Enhanced Quantum Representation (NEQR). However, on real quantum hardware, these encodings can quickly lead to circuits with many...

  • Quantum Colorings of Spheres

    Cameron, Montanaro, Newman, Severini and Winter gave a construction which shows that, for n ∈{2,4,8}, any graph G which admits a real n-dimensional orthogonal representation is quantumly n-colorable. This result can be recast as the statement that the real sphere S^(n-1) is quantumly n-colorable for these values of n. We investigate possible extensions of...

  • Sensitivity Enhancement near High-Order Exceptional Points via Dissipative Couplings

    High-order exceptional points (EPs) emerging in non-Hermitian systems have attracted broad interest for their significantly enhanced sensitivity to perturbations. However, quantum sensing schemes based on high-order EPs remain scarce, due to the experimental challenge of fine-tuning the system to such an extremely sensitive isolated point. Here we propose a four-channel diss...

  • The fidelity of controlled quantum teleportation in a noisy environment

    In this work, we investigate controlled quantum teleportation in the presence of noisy channels acting on the three-qubit resource state. We employ a series of generalized noisy channels that bridge the dephasing channels and amplitude damping channels while encompassing extensive intermediate scenarios. We provide an in-depth analysis of the degradation of the maximal avera...

  • Pair creation amplitudes for a real scalar field coupled to a time-dependent surface in d+1 dimensions

    We study the pair creation phenomenon for a real scalar field φ in the presence of a surface that undergoes time-dependent deformations, while imposing Dirichlet-like boundary conditions. Including terms up to fourth order in the departure of the surface from an infinite plane, we present results for the angular dependence of the emission rate for the vacuum-to-pair...

  • Noise cancellation by superposition of channels and superactivation of quantum capacity: Experimental realization by NMR

    Noisy quantum channels degrade quantum resources such as coherence and entanglement and hence pose challenges for realizing quantum technologies. Coherent control of noisy channels allows us to minimize their effects on the quantum system. Here we achieve the cancellation of two noisy quantum channels by superposing their corresponding Stinespring dilation unitaries. We firs...

  • Certification of Network Quantum Sensing

    The distribution of quantum sensors on quantum networks is a key enabler of quantum technologies in interferometry, gravimetry, timekeeping, biological monitoring, and beyond. Yet, guaranteeing the security of these distributed sensors over noisy, insecure networks remains a formidable challenge. Previous efforts to combine quantum metrology and cryptography have encountered...

  • Equilibrating continuous-variable open quantum systems using stochastic classical trajectories in path-integral space

    Beyond the weak-coupling limit, open quantum systems equilibrate to a highly entangled thermal state. For continuous-variable systems, this state can be written explicitly as an imaginary-time phase-space path integral, in which the positions are directly entangled with the bath, and the momenta are correlated with the positions through a phase term. Here, we ask to what ext...

  • Hawking-Page phase transition for pure Lovelock black holes

    We investigate the thermodynamic properties of static, spherically symmetric Anti-de Sitter (AdS) black holes, focusing on the interplay between characteristic temperatures, as well as on the universality of Ruppeiner scalar curvature at the Hawking-Page (HP) phase transition. In particular, we study the relation between the minimum temperature and the HP phase transition te...

  • Anomalous mobility edges and extended-localized transition in a quasiperiodic emitter-cavity array

    The manipulation of localization in quasiperiodic systems by mobility edges or localization transition holds significant physical importance. In this letter, we demonstrated that the dissipation can induce the emergence of anomalous mobility edges and extended-localized transition in emitter-cavity arrays controlled by quasiperiodic potentials. Specifically, we observe that...

  • Interaction-driven dynamics in graphene flakes as a benchmark for quantum simulation

    We study interaction-driven ultrafast dynamics in finite graphene flakes following an optical pump quench in an interacting tight-binding model. By comparing exact real-time evolution with simulations restricted to particle-hole excitation subspaces, we assess when relaxation can be captured by low-order many-body processes and when this is not sufficient. The single-particl...

  • Precision measurements at the interface between unitary and non-unitary encoding

    We investigate precision scaling at the interface between unitary and non-unitary encoding under generalized noise including single-particle and collective dephasing and decay. Using linear response theory and the error propagation formula, we derive analytic precision expressions for both the unitary parameter Ω and the dissipation strength γ. For unitary encoding, when...

  • Analytical performance evaluation of quantum radar architectures: From single-photon to entangled-noise radars

    This article presents a comprehensive analysis of two classes of quantum radars, including quantum direct-detection and quantum-entangled noise radars. In the first case, inspired by the well-established concept of single-photon LiDARs, we investigated the performance of single-photon radars, in which state-of-the-art single microwave-photon detectors are employed to enhance...

  • Optomechanical system with tunable dissipative and dispersive couplings

    We demonstrate an optomechanical system with tunable dissipative and dispersive couplings using a Fabry-Perot cavity and a string mechanical resonator. By varying the diameter and material of the mechanical resonator, and the relative location between the mechanical resonator and the cavity, the relative strengths of dissipative and dispersive coupling could be tuned continu...

  • Reconfigurable MDI-QKD and BB84 over 20 km optical channels via EOM-tailored weak coherent states

    Measurement-device-independent quantum key distribution (MDI-QKD) is designed to eliminate detector side-channel vulnerabilities. However, its practical deployment remains experimentally demanding because it requires two-photon interference (TPI) between mutually phase-randomized optical states. In this study, we demonstrate a reconfigurable platform that supports both polar...

  • A Recrossing-Free Dividing Surface in Quantum Mechanics

    For nearly a century, a recrossing-free dividing surface in quantum mechanics has been thought impossible. One-way reactive flux seems to require simultaneous trajectory-level knowledge of position and momentum -- an apparent conflict with the uncertainty principle. We show that this obstruction is not fundamental. The exact quantum flow can admit stable and unstable invaria...

  • Identical Bosons, large occupation numbers and classical field description

    For a system with a large number of identical Bosons, it is common to claim, often without any additional justifications, that, when the mean occupation number in a single particle state is sufficiently large, classical field description will be applicable. This is why e.g. for ultra-light dark matter, the classical field equations are used to compute its dynamics. In this w...

  • Scaling law of asymptotic freedom in collective charging of quantum batteries

    We establish a universal scaling law for collective charging of quantum batteries, independent of microscopic details. We prove that the ergotropy-to-energy ratio approaches unity at least as fast as ~N^(-1) with the number of batteries N, implying generic asymptotic freedom. We further show how the universal 1/N scaling can be overcome: when the battery state beco...

  • ICQIA Expands Global Reach With New Charter And Members

  • Quantum Sensor Advance Could Transform Army Battlefield Signal Detection

  • Estonia Upgrades National Digital Identity Cards with Thales

  • QTREX Awarded Government Grant to Advance Native RF Dielectric Material for Quantum Computing

Desk

Chips

46 chip stack items collected on 2026-06-10; memory, packaging, compute, and foundry signals routed.

All collected Chips items (39)

Compute Accelerators

Memory and Advanced Packaging

Custom Silicon and Networking

Unrouted Items

Desk

Power

22 power layer items collected on 2026-06-10; data center load, grid, generation, and cooling signals routed.

All collected Power items (15)

Data Center Power Demand

  • Data center server energy use grows across the commercial building stock

    In the Annual Energy Outlook 2026 (AEO2026), our long-term outlook, we project electricity consumed by data center servers will increase across the commercial building stock, increasing more in standalone data centers than in all other data center rooms combined. By 2050, server consumption alone reaches between 446 billion kilowatthours (BkWh) and 818 billion BkWh. The high...

  • Commercial electricity sales have soared in Virginia, driven by data centers

    Commercial electricity sales in Virginia increased by nearly 30.0 million megawatthours (MWh) between 2019 and 2025, much faster growth than in any other state except Texas, a much larger state, according to our Annual Electric Power Industry Report. The growth in sales of electricity in Virginia is largely driven by a concentration of data centers, as well as electric vehic...

  • ENKA and GE Vernova mark the start of commercial operation of Türkiye’s first HA-powered plant

    Kırklareli, Türkiye - (May 12, 2026) ENKA and GE Vernova Inc (NYSE: GEV) today announced the start of commercial operations at the 852 megawatts (MW) Kırklareli power plant in Kırklareli, about 20 miles from the Bulgarian border in Türkiye. The facility is the first HA-powered plant

Grid and Generation

Cooling and Electrical Infrastructure

  • Most planned natural gas pipeline capacity additions in 2026 and 2027 originate in Texas

    Developers plan to bring approximately 44.9 billion cubic feet per day (Bcf/d) of new pipeline capacity online in the United States in 2026 and 2027, according to our latest Natural Gas Pipeline Projects Tracker. Approximately 70% (31.6 Bcf/d) of this new capacity is already under construction. More than 66% (29.7 Bcf/d) of the capacity additions originate in Texas. Louisian...

Markets and Policy

  • Natural gas for power generation flat this summer, record high expected in 2027

    We forecast natural gas consumption by the U.S. electric power sector this summer will remain near recent highs and set a record next summer in our May Short-Term Energy Outlook (STEO). Despite a 2% increase in overall U.S. electricity demand this summer, we expect natural gas-fired electricity generation to be similar to last summer, primarily because of forecast increased...

Unrouted Items

  • U.S. natural gas storage capacity increased slightly in 2025

    Underground working natural gas storage capacity in the Lower 48 states increased slightly in 2025, according to our latest data, with growth concentrated in the South Central and Mountain regions. Underground natural gas storage provides a source of energy when demand increases, balancing U.S. energy needs. We calculate natural gas storage capacity in two ways: demonstrated...

  • GE Vernova to deliver pumped-storage technology for India’s 1.35 GW Upper Sileru hydropower plant

    VADODARA, INDIA (May 4, 2026) – GE Vernova Inc. (NYSE: GEV) announced today that it has secured an order from Megha Engineering & Infrastructures Limited (MEIL) to deliver nine 150 MW pumped-storage units for the 1.35 GW Upper Sileru hydropower plant, located in the state of

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