After decades of modest growth, US electricity demand began accelerating in 2025, surpassing expectations in many utility plans. The surge was driven by artificial intelligence training workloads, alongside electrification in transportation and industry. According to Deloitte analysis, peak demand is projected to grow by approximately 26% by 2035, testing today’s grid limits.1
Data center demand alone could reach 176 gigawatts by 2035, a fivefold jump from 2024.2 Industrial electrification could add 25 GW of demand by 2030, on top of growth in household and commercial consumption.3
At the same time, new supply is not coming online fast enough. The energy mix is shifting toward renewables, which accounted for 93% of new capacity through July 2025, with solar and storage making up 83%.4 But the pace of connecting these new energy sources has lagged. Two terawatts of capacity are stuck in interconnection queues, almost twice the currently installed capacity.5
Reliability pressures are also mounting. In the first half of 2025, the United States experienced 15 natural disasters, each causing US$1 billion or more in damages. At least three of those events exceeded US$5 billion in losses.6
In 2026, the challenge for utilities will be quickly delivering uninterrupted or “firm” capacity to stressed parts of the grid.7 Customer affordability will remain a central pressure point as retail prices continue to rise. The average residential retail price is projected to be approximately 4.5% higher in 2025 compared to 2024.8 The passage of the 2025 reconciliation bill—commonly known as the One Big Beautiful Bill Act—rolled back many clean energy incentives, expanded foreign entity of concern restrictions, and narrowed safe-harbor provisions.9 These changes compress developer timelines and increase compliance needs.10
To address these challenges, Deloitte’s 2026 Power and Utilities Industry Outlook explores the strategies utilities can use to respond:
In 2025, rising load forecasts and shrinking capacity margins prompted utilities and regulators to emphasize near-term reliability alongside long-term planning. The US Department of Energy projects about 104 GW of coal and natural gas retirements by 2030, offset by 209 GW of new capacity.11 Yet only 10% of those additions will be firm baseload, widening the reliability gap (figure 1).12
Electric power companies are pursuing strategies across three horizons, focusing on accredited peak contribution rather than nameplate megawatts.13
In the near term, companies are bridging reliability gaps through incremental firm generation and operational flexibility. Natural gas remains the backbone for firm load, with nearly 19 GW of gas-powered capacity planned through 2028.14 Utilities are extending the lives of coal plants, running natural gas “peaker units” for more hours during periods of high demand, and increasing the capacity of existing nuclear plants.15
The emphasis will then shift to storage duration and diversity, with long-duration energy storage (LDES) advancing from pilots to procurement. At least two states now have LDES requirements totaling more than 2.75 GW.16 Utilities are also procuring 8-to-10-hour storage to address reliability gaps during high-demand seasons and reduce unused renewable energy generation.17 While this can relieve peak stress, it is not a one-for-one substitute for firm generation like gas or nuclear. Utilities are also expanding demand response and flexible loads, turning them from emergency tools into dependable capacity during peaks.
Nuclear is regaining traction as a long-term anchor for clean, firm capacity. The One Big Beautiful Bill Act preserves the 45U credit for existing plants and maintains eligibility for advanced nuclear under 45Y and 48E if they meet “domestic content” and “construction start” requirements.18 This strengthens the economics for existing fleets and builds momentum for plant expansion and new builds.19 Recent milestones include federal funding of US$900 million for advanced reactors being made available, new design approvals, and the first US utility application for a small, modular reactor construction permit.20 The administration’s goal is to quadruple US nuclear capacity to 400 GW by 2050, including siting plans at military installations and AI data center hubs.21
Planning and procurement are also adapting. As utilities pursue these strategies, they aim to procure all resource types while prioritizing deliverability, project readiness, and portfolio resilience.22 Some state commissions are expanding integrated resource planning tools to allow procurement between planning cycles when demand or transmission timing shifts.23
In 2026, utilities will continue to shift from planning to execution. They will face growing pressure to keep firm capacity projects on schedule, reduce curtailment, and lower costs.
In 2025, US data centers emerged as one of the fastest-growing sources of electricity demand. Once viewed as inflexible mega-loads, hyperscalers are now potential operational partners.24
Data centers can support reliability in three ways. First, AI-enabled orchestration platforms can shift workloads across regions in real time, aligning demand with renewable oversupply.25 Second, advanced power electronics allow data centers to instantly respond to grid fluctuations, functioning like batteries.26 Fewer than 5% of facilities currently participate in demand-response programs, but pilots show that between 10% and 30% of load can be flexed during peak events without disruptions.27 Third, advances in workload control and real-time telemetry enable millisecond-level responses, allowing data centers to support fast-reserve markets by flexing load when the grid is constrained.28 Together, these capabilities mean that hyperscalers can function like hybrid assets—both consuming power and providing reliability services.
Some utilities and regulators now require hyperscalers to share costs, provide telemetry, and demonstrate flexibility for faster interconnection.
Early results are promising. One hyperscaler, for example, has embedded PJM grid telemetry into its scheduling systems and partnered with two utilities to reduce AI processing workloads during periods of grid stress.34
In 2026, performance-based interconnection could increasingly tie queue priority to telemetry and flexibility. Resource adequacy rules are expected to start recognizing flexible load paired with four-hour batteries as a dependable capacity resource. Dynamic tariffs are likely to spread, exposing hyperscalers to real-time signals.
Utilities are under pressure to deliver more reliability with the same resources. That requires analytics and automation to drive capital and operational efficiency—creating the foundation to scale their AI deployment. Enterprise-scale adoption is being driven by two converging forces:
Power companies are building computing infrastructure that blends edge, cloud, and on-premises capabilities (figure 2).35 Edge AI—from drones to substation sensors—enables millisecond-level decisions. Some AI models are deployed on-premises to handle critical functions that cannot be moved outside of secure environments. Additionally, utilities are exploring federated learning techniques to improve models across sites while keeping data local, offering a secure path to expand system intelligence.36 Together, this infrastructure can help balance resilience, compliance, and scalability for enterprise adoption.
AI applications are driving efficiencies across the utility value chain.
As AI adoption broadens, utilities should explore strengthening governance, cybersecurity, and cost-recovery frameworks. Human oversight (human-in-the-loop) is essential to ensure strong governance. The North American Electric Reliability Corporation (NERC) guidance emphasizes that AI should serve as a decision-support tool rather than an autonomous controller.42 In line with this, the industry is beginning to put safeguards in place—such as model registries, audit trails, and risk controls.
Cybersecurity standards remain uneven. However, initiatives like the National Association of Regulatory Utility Commissioners distributed energy resources security baselines and the Electric Power Research Institute’s Open Power AI Consortium are creating reference points for validation and digital trust.43
Many cost-recovery frameworks are also underdeveloped. With no standardized AI-specific approaches, utilities often lean on cloud and software-as-a-service precedents,44 while some regulators pilot approaches such as trackers and riders.45
In 2026, utilities are likely to expand AI-assisted analytics in control rooms, widen adoption of gen AI copilots across operations, and formalize oversight frameworks—with human oversight remaining central.
Over the past few years, lead times for critical grid equipment such as transformers and switchgear have stretched to multiple years (figure 3), while equipment and project costs continue to rise. The cost of a new gas-fired power plant has surged to more than two and a half times that of projects built just a few years ago.46
New tariffs may also affect lead times and costs. These include tariffs on steel (including grain-oriented electrical steel) and aluminum, and certain copper products, in addition to expanding probes into solar, wind, and battery supply chains.47 The recent tightening of domestic content and sourcing requirements further adds complexity.
In response to this broad set of challenges, the industry is pursuing three main strategies:
In 2026, supply resilience is becoming part of core reliability planning. Utilities are expected to integrate multi-year, multi-vendor supply agreements, embed grid-enhancing technologies, and use digital tools to track supplier and inventory risks in real time.
The US electric power sector faces record capital needs—more than US$1.4 trillion through 2030—even as affordability pressures intensify.56 Traditional equity and debt financing are no longer sufficient amid growing concerns about rising prices for customers.57 In response, utilities are reshaping portfolios and capital flows through mergers and acquisitions and portfolio rotation.
In the first nine months of 2025, M&A activity in the US electric power sector exceeded US$109 billion, driven by strategic repositioning (figure 4).58 Some electric power companies are acquiring dispatchable assets to meet digital and industrial load now, while others are divesting slower-growth assets to reinvest in regulated networks, firm generation, and clean infrastructure.59 At the same time, institutional investors are deepening their stakes in regulated utilities and contracted fleets, drawn by stable yields.60 These moves mark the emergence of utilities as capital hubs, while private capital provides scale.
A new set of business models is giving utilities financing flexibility:
To scale these innovative models, regulatory frameworks need to evolve. By mid-2025, at least 28 states were exploring performance-based regulations, with 17 states and Washington, D.C. having enacted enabling legislation.66 This shift rewards outcomes—capacity delivered, reliability, affordability—rather than gross capital deployed, and can create space for coinvestment, securitization, and service-based contracts.
In 2026, capital strategy is likely to be measured less by gross spend and more by capacity per dollar and bill impact per incremental megawatt. Utilities that can blend self-financed projects with partnerships, securitized financing, and outcome-based models will likely deliver more capacity, faster, without overburdening customers.
Utilities face a pivotal year in 2026, as converging pressures demand that they scale both smarter and faster. Key inflection points will likely include the repeal or phaseout of certain clean energy tax credits, evolving tariffs, new foreign entity of concern–related procurement requirements, and the integration of AI into core operations. Utilities that set the pace will be those that embed financial, operational, and digital flexibility into their playbooks—delivering capacity where and when it’s needed while safeguarding affordability.
Meeting surging demand will require more than new megawatts. Utilities will pair firm capacity with AI-driven operations, flexible planning, and innovative finance to sustain affordability and reliability under stress. AI will enable real-time optimization of dispatch, asset performance, and outage response, while stronger supply chains support infrastructure. Together, these shifts will redefine reliability as the ability to sustain capacity, agility, and resilience while keeping power stable, flexible, and affordable.