U.S. natural gas prices face power demand drag

U.S. natural gas prices face power demand drag

CALGARY, Alberta (July 7, 2026) — Enverus Intelligence® Research (EIR), a subsidiary of Enverus, the leading energy data analytics platform, has released its latest Fundamental Edge report, highlighting near-term pressure in U.S. natural gas markets as power demand and gas-fired generation underperform expectations.

The report points to LNG as the primary offset to softer domestic consumption. LNG exports increased 3.6 Bcf/d versus 1Q25, absorbing nearly 80% of the 4.6 Bcf/d production increase over the same period. EIR expects commissioning at Golden Pass and continued ramp-up at Corpus Christi Stage 3 to push LNG flows above 20 Bcf/d by year-end, while longer-term demand growth becomes increasingly concentrated in LNG and emerging behind-the-meter data center load.

“Near-term gas prices remain pressured because power demand is not keeping pace with supply growth, but LNG continues to provide the main structural demand outlet,” said Al Salazar, report author and director at EIR.

Key takeaways:

  • EIR maintains its view for Henry Hub near ~$3.00/MMBtu through summer 2026.
  • Total domestic gas consumption declined 2.5 Bcf/d in 1Q26 versus 1Q25, led by residential, commercial and industrial weakness.
  • Gas-fired power generation increased ~0.8 Bcf/d in 1Q26 but underperformed expectations implied by weather.
  • If power-sector weakness persists into winter, EIR says incremental storage could build by ~200 Bcf, pushing its price outlook down by roughly $1.00/MMBtu.
  • LNG remains the key offset, with exports up 3.6 Bcf/d versus 1Q25 and flows expected to move above 20 Bcf/d by year-end.

EIR’s analysis pulls from a variety of products including Enverus ONE.

You must be an Enverus Intelligence® Research subscriber to access this report.

EIR research reports cannot be distributed to members of the media without a scheduled interview. Journalists interested in learning more about this analysis are encouraged to use our Request Media Interview button to schedule a time to meet with one of our expert analysts, who can provide context, insight, and deeper discussion of the findings.

About Enverus Intelligence® Research
Enverus Intelligence ® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations and macro-economic forecasts; and helps make intelligent connections for energy industry participants, service companies and capital providers worldwide. Enverus is the most trusted, energy-dedicated SaaS company, with a platform built to create value from generative AI, offering real-time access to analytics, insights and benchmark cost and revenue data sourced from our partnerships to 95% of U.S. energy producers, and more than 40,000 suppliers. Learn more at Enverus.com.

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Three Energy Investors. One Strategy. Stop Predicting the Cycle, Start Structuring Around It.

At Enverus’s customer conference, EVOLVE 2026, a panel of three senior energy investors sat down to talk about where the smart money is going: upstream consolidation, midstream infrastructure, and the AI-driven power buildout. Three different sectors, three different investment theses. But ask each of them the same underlying question, when does this cycle turn, and you get the same answer in three different accents.

Nobody knows. And none of them are betting on finding out. 

When moderator Dane Gregoras pushed Bilal Khan of Blackstone Energy Transition on when the AI data center spending cycle would end, his answer was disarmingly honest: 

“If I knew precisely when the music stopped, I probably wouldn’t be sitting here.” 

That line could have been the title for the entire conversation. Across upstream oil and gas, midstream pipelines, and power generation, the panel’s most experienced investors weren’t pretending to have cycle-timing figured out. Instead, they’d each built their strategies around a simpler premise: make the timing not matter. 

The Contract Is the Hedge

Khan’s approach to the “when does it end” question wasn’t a forecast, it was a structure. Blackstone is signing 15 to 20-year data center leases, 20-year power plant contracts, and in one case, a 40-year transmission agreement carrying low-cost hydropower into New York City. 

“We’re trying to cut off any sort of tail risk,” Khan explained. When the moderator pushed further, asking whether that meant Blackstone wasn’t taking on any duration risk at all, Khan didn’t hesitate to agree. 

It’s a simple idea executed at massive scale: if you can’t predict how long the AI buildout lasts, sign contracts that outlast the question entirely. Blackstone’s $6 billion energy transition fund — heading toward a next vintage north of $8 billion — isn’t underwriting a four-year AI supercycle. It’s underwriting four decades of contracted cash flow.

Khan has a fallback case even if the AI thesis evaporates entirely. Strip out data center demand altogether, he argues, and U.S. power demand still grows north of 2% annually for the next decade. That growth comes from reshoring, reindustrialization, and a simple fact: semiconductor manufacturing is both a national security priority and an extremely electricity-hungry one. Blackstone’s energy transition strategy posted roughly 30% net returns with zero realized losses from 1997 through 2022, years before AI was part of anyone’s investment thesis. The contract structure isn’t a hedge against the AI cycle ending. It’s a hedge against needing the AI cycle to have happened at all.

The Upside Nobody Underwrote

If Blackstone’s strategy is about removing duration risk, Tailwater Capital’s experience shows what happens when the cycle surprises you in the other direction. 

Scott Peters described signing three separate deals with hyperscalers and data center developers for what he called “last mile” natural gas supply, which is building out 20 miles of new pipe and locking in 20-year minimum
volume commitments. 

“For these businesses, that was not in the base case underwriting,” Peters said. “To the extent where you’re potentially doubling EBITDA at some of these businesses off a couple of contracts.” 

This is the flip side of structuring around uncertainty instead of betting on it. Tailwater wasn’t underwriting a data center boom when it built that pipeline infrastructure. The original investment thesis was about gas demand. The AI buildout showed up as upside on top of an already-sound investment, not as the reason for making it. Betting the fund on hyperscaler demand showing up on schedule is a different kind of risk entirely. 

It also illustrates something the panel returned to repeatedly: midstream investment logic has flipped. Peters described the shift as moving from “supply push,” chasing upstream drilling activity, to “demand pull,” where LNG exports, electrification, and onshoring create the investment thesis first, and the infrastructure follows. The hyperscaler contracts weren’t the strategy. They were proof the strategy was already pointed the right direction.

The Capital That Left Is Coming Back Anyway 

The clearest evidence that nobody can time these cycles might be the limited partners (LPs) themselves, the institutional investors who commit capital to private equity funds. 

Brian Celian of NGP Energy Capital Management described a near-total reversal in institutional sentiment toward traditional energy investing. Rewind to 2020: environmental, social, and governance (ESG) considerations dominated every pitch meeting, commodity prices had briefly gone negative, and the prevailing belief among allocators was that hydrocarbons were approaching obsolescence on an accelerated timeline. Capital fled the sector, disproportionately along political and ideological lines tied to which states’ pension boards would even take the meeting. 

Today, Celian says, the picture looks almost entirely different. 

“People that are underweight energy are now getting tapped on their shoulder by their CIO saying why,” he said. “We’re getting more reverse inquiry of late than really anytime that I’ve been at NGP.”

The mechanism here matters as much as the sentiment shift itself. These aren’t allocators who correctly called a commodity cycle and are rotating in early. They’re allocators who missed it — who divested or stayed underweight through 2020 to 2025 on a thesis that didn’t hold, and are now reallocating in response to a price run-up they didn’t see coming. Public pensions move in five-to-ten-year allocation increments; university endowments, some of the first institutions to exit dedicated oil and gas exposure, are now among the first coming back. None of this reflects skillful cycle-timing. It reflects the opposite — proof that even sophisticated institutional capital can’t reliably predict these inflection points, which is exactly why the investors who build cycle-agnostic structures end up better positioned than the ones trying to call the turn. 

The Common Thread

Put these three stories side by side and a single thesis emerges for how the most experienced energy capital is operating in 2026: nobody is betting the strategy on getting the forecast right. 

Blackstone is signing contracts long enough to outlast the question of when AI spending peaks. Tailwater built infrastructure for a thesis that didn’t depend on hyperscalers showing up, and got rewarded when they did anyway. And the LP capital now flowing back into the sector is, by its own admission, reacting to a cycle it failed to predict
the first time. 

The investors who look smartest right now aren’t the ones who guessed correctly. They’re the ones who built portfolios where guessing correctly was never the point. 

About EVOLVE

EVOLVE is Enverus’s annual customer conference, bringing together energy executives, investors, and industry leaders to share insights on the trends shaping oil and gas, power, and the broader energy transition. Each year’s program features panels, breakout sessions, and fireside chats with senior leaders from across the energy landscape, offering attendees a direct look at how the market’s most experienced operators are thinking about what comes next. 

About Enverus Intelligence® | Research

Enverus Intelligence® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations, and macro-economic forecasts and helps make intelligent connections for energy industry participants, service companies, and capital providers worldwide. See additional disclosures here.

Enverus ranks top U.S. private E&P operators

Enverus ranks top U.S. private E&P operators

AUSTIN, Texas (July 1, 2026) — Enverus, the leading energy data analytics platform, has released its annual list of the 100 most prolific private oil and gas producers in the U.S.

Continental Resources held the No. 1 position with 707 Mboe/d of production, followed by Mewbourne Oil at No. 2 with 575 Mboe/d and Aethon Energy at No. 3 with 443 Mboe/d, according to Enverus. The ranking also includes oil production, natural gas production, well counts, primary regions, last year’s rank and 1Q26 average rigs.

This year’s list reflects continued movement across the private operator landscape, with operators from the Rockies, Permian, Eastern U.S., Gulf Coast and Mid-Continent represented throughout the ranking. Among the top five, there were no changes in comparison to last year with Ascent Resources LLC at No. 4 and Hilcorp at No. 5. Flywheel Energy rose to No. 6 from No. 21.

“We are in the opening innings of another cycle of private capital deployment, with funded teams aiming to build new positions and carve out assets from publics following the consolidation wave of the past few years. Private operators drive a significant share of U.S. upstream activity, yet much of it stays off the radar. This year’s Top 100 list gives investors and operators a clearer read on the current private landscape,” said Drew Depoe, senior analyst at Enverus Intelligence® Research.

The list includes a breakdown of liquids and gas production, total company well counts, recent rig programs and comparison to rankings from the previous year. It was released in Upstream Pulse, a bi-monthly Enverus Intelligence® Publications report delivering upstream research and market analysis covering exploration and production, deals and capital markets for the North American and global oil and gas sector.

Key takeaways:

  • Continental Resources ranked No. 1 with 706,974 boe/d of production, 354,022 bbl/d of liquids and 2,117,638 Mcf/d of natural gas.
  • Mewbourne Oil ranked No. 2 with 575,339 boe/d of production and a 1Q26 average of 21 rigs, the highest rig average among the top three operators.
  • Aethon Energy ranked No. 3 with the largest natural gas production of 2,654,744 Mcf/d.
  • The top five include operators primarily associated with the Rockies, Permian and Gulf Coast regions.
  • The full ranking tracks production, liquids and natural gas mix, well count, primary region, prior-year rank direction and 1Q26 average rigs.

About Enverus
Enverus is the energy industry’s AI and data platform, serving more than 8,000 energy companies across 50 countries. Built on 25+ years of proprietary intelligence — 2.7 petabytes of continuously updated data, 350 million+ courthouse records, and $500 billion+ in annual transaction covering the full energy value chain across upstream, midstream, power, renewables, utilities, and capital markets. Enverus is 100% dedicated to energy. Learn more at Enverus.com.

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Beyond Tier 1: how operators are finding their next inventory

Across the EVOLVE 2026 panels, a consistent admission surfaced: most teams are still quantifying what they have left by hand. Analysts draw DSUs one play at a time. Type curves come from area averages instead of location-level predictions. Between that and everything else on their plate, most deal teams get through three or four valuations in a week. The operators who’ve moved past that work can actually see their inventory runway. The rest are estimating.

Here’s what the panels surfaced and what it means for how you work now.

The inventory gap that consolidation couldn’t close

Consolidation reshaped the Permian, the DJ, the Montney, and every basin that’s seen major M&A over the last three years. The companies that acquired aggressively got better capital efficiency and real runway, but the count of high-quality drilling locations across those basins stayed flat. Panelists were clear on that distinction: consolidation redistributed inventory rather than adding to it. The operators still on the sidelines now face a thinner market, with fewer clean targets at a price that works, and “wait and buy later” gets more expensive every quarter.

Private operators are feeling this most directly. One conversation that came up repeatedly: companies that historically relied on acquiring or swapping bolt-on acreage are now creating inventory through geological extension rather than transaction. The formations getting traction are the Cherokee across the Anadarko, the Dawson-Dean, and parts of the northwestern Delaware. These plays have been mapped for years but treated as upside, not core planning. That’s shifted. Operators who used to reach for these formations when their Tier 1 looked long are now modeling them as part of their baseline. 

Extensional plays are moving from interesting to essential

Five years ago, adding extensional formations to an inventory model was a way to show upside to a potential buyer. Now operators are doing it because their base case requires it.

The plays getting the most attention on stage: emerging deep zones in the Delaware and Midland, where formations like the Barnett-Woodford are converting from geologically viable to economically viable at pace. Panelists pointed to the northern Delaware specifically, where the resolution of permitting friction in the Known Potash Leasing Area has re-opened development across acreage that was previously stranded. Extended reach laterals exceeding four miles changed the unit economics enough to bring material inventory back into the picture.

Barnett Woodford 2025 Cumulative Oil

The operators winning in extensional plays share one trait: they’ve moved past basin-level type curves. Location-by-location production predictions, built from geological inputs and updated well data, separate the formations that look economical in aggregate from the ones that are worth drilling. Our Enverus Intelligence® Research (EIR) basin teams have been running this methodology for years, basin by basin, Tier 1 through Tier 2, hand-drawing DSUs for every play. The operators on stage who are doing this themselves have materially better visibility on where their real runway sits.

More assets to evaluate, less margin for a bad decision

The volume of assets being marketed hasn’t slowed. Panelists described running economics on 30 to 40 competing assets at any given time, across multiple basins, all while managing current production demands. Running a large deal queue is nothing new for operators in this market. The difference now is the cost of a misjudgment deeper in that queue. 

When Tier 1 was abundant, a mediocre acquisition could still be a fine one. A well in a slightly lower-quality part of the basin still worked at the right price. That margin for error is compressing. Sellers are marketing assets with credible-looking inventory profiles that don’t hold up at the location level. The difference between a seller’s type curve and what the offset well data actually shows can swing deal value by tens of millions of dollars on a mid-size package. 

The practical constraint panelists named is throughput, not capital. A team pulling offset data by hand and rebuilding economics in spreadsheets moves through a handful of deals a week. The bottleneck isn’t the judgment call, it’s everything that has to happen before the judgment call. When the assets worth winning are scarcer and the buyer pool is deeper, the team that can run a credible valuation faster gets more shots at the deals that matter.

What the best operators ran last month

Several panelists already run AI-assisted deal evaluation and walked through their exact workflow. Strategic fit screening comes first before committing analytical hours. Define the target profile by basin, production mix, inventory-to-PDP ratio, and minimum quality threshold. Filter at the portfolio level before anyone opens a model. Once an asset clears that screen, move from deal teaser to offset-based valuation with the operator’s own economic assumptions applied: commodity price deck, discount rate, OPEX benchmarks. 

Enverus ONE™’s Inventory Evaluation Flow and Deal Screener Flow handle this sequence. You go from an API list or a deal teaser to a decision-ready valuation grounded in analyst-curated data, with your own economic inputs applied, in under a minute for inventory and under five minutes for a full screened deal. Analyst time goes to interpreting the output and making the call, rather than assembling the inputs.

Every evaluation makes the next one sharper

Panelists kept circling the same question: which teams have built the muscle to spot the Tier 1 inventory that’s left and move on it before anyone else does. 

Every deal you run, every inventory stack you verify, every location you score against your own criteria tightens your read on the rock. The operators who’ve run thousands of evaluations the same way understand their acreage, and the market around it, in a way a team starting cold this year can’t match for a while. 

EIR tracks where inventory sits, who controls it, and where the next stretch of rock is crossing from geologically viable to economically viable. Load your team’s proprietary data into Enverus ONE and the gap closes between that market picture and the asset-level calls only you can make. The operators who sort this out first will have their pick of what’s left. 


Ready to evaluate your next deal with engineering-grade economics before the bid deadline? See the Inventory Evaluation Flow or talk to our team. 

About Enverus Intelligence® | Research

Enverus Intelligence® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations, and macro-economic forecasts and helps make intelligent connections for energy industry participants, service companies, and capital providers worldwide. See additional disclosures here.

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Big News, Bigger Assumptions | Reassessing FRVO’s Valuation

The first publicly traded commercial enhanced geothermal systems (EGS) producer, Fervo Energy (FRVO), posted earnings this week. Despite a disappointing loss of $3.72 per share, FRVO traded higher following earnings due to its announced technology partnership with NVIDIA and Pacific Northwest National Laboratory to develop a next-generation digital twin platform for EGS, known as EGS-Twin. EGS-Twin is designed to deliver real-time insight into subsurface behavior and operational performance.

While the announcement reinforces confidence that advanced software and AI can improve reservoir management and project optimization, technology alone does not eliminate the key engineering and economic hurdles that ultimately determine EGS project returns. According to Enverus Intelligence® Research’s Fervo Valuation, today’s valuation assumes successful execution against three performance targets that have yet to be demonstrated at commercial scale.

First, FRVO’s Cape Station permits require reservoir water losses below 1% to remain within available supply (Figure 1). Project Red, the company’s pilot project, has shown measured losses of 30%. Fenton Hill, a prior commercial-scale EGS attempt, lost 7% and ultimately failed. Sub-1% water loss has no commercial precedent.

Another risk is thermal drawdown. Reservoirs cool over time as production continues, reducing per-well output and necessitating infill drilling, which can push lifecycle capex above initial estimates.

Finally, FRVO’s economics require reducing per-MW capex from Cape Phase 1’s roughly $7 million/MW to an nth-of-a-kind target of $3 million/MW, a 57% reduction across the development pipeline with no commercial-scale precedent.

FRVO’s public-market valuation signals strong investor conviction in EGS, but the assumptions underpinning today’s valuation still require several industry firsts. We remain cautious on FRVO’s valuation pending demonstrated performance at scale.

Iceland generates so much cheap geothermal heat and power that it grows bananas and tomatoes year-round in Arctic-Circle greenhouses, with a single facility (Friðheimar) supplying roughly 18% of the country’s tomato consumption.

Research Highlights:

  • Priced for Perfection | FRVO’s EGS Debut – This report leverages Enverus Intelligence® Research’s new bottom-up geothermal techno-economic model to simulate wellbore performance and produce project-level economics detailed in the project summary provided (capacity, status, in-service timing and indicative asset values per $MM/MW). Using this model and financials disclosed by FRVO, we provide a baseline for its generation fleet and its sanctioned and unsanctioned assets.

  • The Water Wall | FRVO’s Scaling Bottleneck – FRVO’s run-up to a ~$10.4 billion valuation, more than double our ~$5 billion NAV, depends on scaling technology that requires enhanced geothermal water-loss rates up to 107 times better than any operating reservoir has demonstrated. Enverus Intelligence® Research sizes the gap, benchmarks it against Milford Basin water rights and grid-wide consumption, and assesses the downside risk to FRVO.

About Enverus Intelligence® | Research

Enverus Intelligence® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations, and macro-economic forecasts and helps make intelligent connections for energy industry participants, service companies, and capital providers worldwide. See additional disclosures here.

Enverus acquires PDS exchange assets, expanding its operating network across U.S. energy markets

Enverus acquires PDS exchange assets, expanding its operating network across U.S. energy markets

AUSTIN, Texas (June 30, 2026) — Enverus today announced the acquisition of four exchange platforms from PDS Energy Information: the Frac Interference Exchange, Well Data Exchange, Production Data Exchange and AquaTrade.

Enverus already operates two of the energy industry’s largest commercial exchange networks. EnergyLink and OpenInvoice collectively support more than 500 operators, 40,000 suppliers and 250,000 receivers, representing more than $500 billion in annual transaction activity across revenue, joint interest billing and procurement. With this transaction, Enverus expands from commercial workflows into the operational data flows that drive completions, well data, production and water logistics.

The acquired platforms are operating infrastructure for the U.S. upstream industry. An estimated 80% of U.S. completions, production and drilling data is exchanged through the PDS network, connecting nearly 800 participants, including 95% of Fortune 500 energy companies. The Frac Interference Exchange alone has more than 400 operators coordinating completions activity across major U.S. basins.

“PDS built exchange infrastructure that sits inside real work the industry executes every day,” said Manuj Nikhanj, CEO of Enverus. “Adding these platforms to the networks Enverus already operates is a natural step, and it opens up possibilities for customers that neither network could deliver on its own.”

The combination strengthens Enverus’ position as the energy industry’s system of exchange, connecting operational events in the field with the commercial workflows that settle and account for them.

What the Exchanges Do

  • The Frac Interference Exchange helps operators coordinate completion schedules, identify frac hit risk, manage temporary shut-ins and improve wellsite safety across shared operating areas.
  • The Well Data Exchange automates secure distribution of drilling, completion and other well files to working interest owners, partners and other authorized stakeholders.
  • The Production Data Exchange enables operators to exchange daily and monthly production volumes and connect that information into production accounting and partner workflows.
  • AquaTrade connects operators and midstream water handlers through matching algorithms developed with the U.S. Department of Energy, supporting more efficient produced water disposal, reuse and trading across water-intensive basins.

Together, the platforms bring four critical upstream workflows into the broader Enverus network: completions coordination and frac hit mitigation, secure partner well-file distribution, production data exchange and produced water logistics. The result is a more connected operating environment for customers managing field activity, partner obligations, production reporting and resource movement across major U.S. basins.

“We’ve spent 30 years building the networks the industry uses to move well data, production and completions information,” said Barry Barksdale, president and founder of PDS Energy Information. “Enverus already runs the largest operating networks in energy. Putting these together is going to be very exciting for our customers.”

“Enverus has operated large-scale exchange networks at the center of this industry for more than two decades,” Nikhanj said. “With the addition of PDS, Enverus now supports the exchange of completion schedules, well files, production volumes and water logistics alongside revenue distribution, joint interest billing and procurement across the upstream value chain. No other company operates this breadth of connected operational and commercial exchange across the upstream energy value chain.”

Terms of the transaction were not disclosed.

Availability
Exchange services are live and operating. Additional integrated capabilities across the Enverus platform, including Enverus ONE, will be introduced over time.

About Enverus
Enverus is the energy industry’s AI and data platform, serving more than 8,000 energy companies across 50 countries. Built on 25+ years of proprietary intelligence — 2.7 petabytes of continuously updated data, 350 million+ courthouse records, and $500 billion+ in annual transactions covering the full energy value chain across upstream, midstream, power, renewables, utilities, and capital markets. Enverus is 100% dedicated to energy. Learn more at Enverus.com.

About PDS Energy Information
For over 30 years, PDS Energy Information has helped move critical data between operators, partners and service providers through secure exchange and data management solutions. Its exchange portfolio includes well data, production, frac interference, gas balancing and field ticket workflows.

Enverus Intelligence® Research Press Release - OPEC+ cuts and Trump tariffs force price downgrade

The Energy Industry’s AI Adoption Curve: Where Are You?

Around 750 million people still live without reliable access to electricity. Plenty more have power but can’t count on it, running on infrastructure built for a different era and straining under load it was never designed to carry. And the capital decisions that used to take months to model now need an answer in days. 

The energy is there. The technology to generate it, find it, move it, and deliver it is there too. What’s missing is the speed at which the people making those decisions can move. 

That’s the gap AI is supposed to close. In most industries, it’s starting to. In energy, it’s more complicated. 

Why energy is different

I spend a good part of my week with grid operators, utility planners, engineers, and the people funding all of it. Most of them have already tried an AI tool that didn’t understand the work it was handed, and the skepticism that left behind is earned. 

A generic model can’t tell the difference between a transmission constraint that looks manageable at the system level and one that quietly makes a single project uneconomic. It reads a small land-record discrepancy as a small problem, even when that discrepancy is enough to cloud the whole title. And it has no way to know why the same resource can carry a completely different risk profile depending on where it sits and who owns the ground around it. 

Energy decisions don’t live in documents. They live in the relationships between things: a load forecast and a dispatch curve, a title chain and a land record, a type curve and a capital plan. That structure took the industry decades to build, and a generic model simply doesn’t carry it. Energy AI that produces a confident-sounding output a human still has to check before anyone acts on it isn’t saving time, it’s adding a step. 

The deeper issue sits underneath all of that. Engineers and planners are trained to expect deterministic answers: same inputs, same output, every time. Most AI is probabilistic. It returns the most likely answer from patterns in the data, not a calculation you can trace back to an equation. That’s a different kind of tool, and it calls for a different kind of governance. Most vendors aren’t honest about that distinction. They should be. Successful energy AI adoption starts with that honesty: what the technology does, how it reasons, and what oversight it still requires. 

Where companies actually get stuck

In my experience, the adoption challenge breaks into three stages, and where you’re stuck tells you what to fix. 

The first stage is Trust. Before AI speeds anything up, people have to believe the output is reliable, auditable, and built on data they recognize. Until they do, the work stays in pilot. I’ve watched technically successful pilots sit on a shelf for two years because no one in the organization trusted the output enough to act on it. At this stage, AI readiness isn’t a technology question. It’s a credibility question: does the system understand our data, our workflows, and our standards well enough to earn a place in the process? 

The second stage is Speed. Once trust is in place, the work changes character. A resource planner who used to spend weeks building a capacity expansion model now runs scenario analysis in an afternoon. A transmission team that spent days pulling constraint data finds the bottleneck that changes a siting decision in minutes. A finance team turns months of valuation work into days. Same people, same expertise, finally working at the pace the job demands. Energy AI at this stage isn’t replacing judgment. It’s multiplying it. 

The third stage is Maturity, and it’s the one that separates the field. Companies that reach it aren’t only moving faster. They’re operating on a different curve. Every workflow that runs through an AI execution layer gets a little smarter. Institutional knowledge stops walking out the door each time a senior engineer retires. The advantage compounds, and the distance between these companies and the ones still debating whether to begin grows wider every quarter. 

Where are you?

Most energy companies sit in the Trust stage today. The tell is simple: your team reviews every AI output before acting on it, and that review feels necessary rather than optional. That’s not a failure. It’s the right starting point. But staying there has a cost, and that cost grows as competitors move on. 

A smaller group has crossed into Speed. They act first and verify after, because the track record has earned it. Their AI readiness isn’t just a technical posture. It’s embedded in how teams are structured, how decisions get made, and what gets measured. 

Very few have reached Maturity, the point where they design new workflows with AI in the loop from the start instead of retrofitting it onto old ones. 

Knowing your stage is a strategic question, not a philosophical one. It tells you what to prioritize, where you’re leaking value, and how far behind you can afford to fall before the gap turns structural. That’s what Powering the Global Quality of Life comes down to in practice: better technology, and the organizational decisions that put it to work at the speed the world needs. 

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Demand Is Growing. Developers Are Rethinking Greenfield.

For the first time in two decades, power demand is growing again. Data centers, electrification, and industrial load are pushing power markets into a fundamentally different environment. Yet many developers trying to capitalize on that demand are running into the same problem: greenfield projects are taking longer, costing more, and carrying greater execution risk than they did just a few years ago.

Greenfield solar in CAISO now takes up to 22 months just to clear the interconnection queue. That clock starts before construction, before permitting, before a single network upgrade cost surfaces.

For many developers, that number alone has shifted the thinking. 
 
Acquiring a later-stage or operating asset can significantly reduce queue exposure and development risk, sidestep rising capital costs, and still put you in position to capture the same demand tailwinds everyone else is chasing. More importantly, it can dramatically shorten the path to commercialization. In markets where load growth is accelerating, shaving years off a development timeline can mean the difference between capturing demand and arriving after the opportunity has passed.

This is the first in a three-part series on executing power and renewable asset M&A with data. We cover the macro picture here: why greenfield economics have deteriorated, where the tailwinds are actually concentrated, and what all of it means for your pipeline strategy. Posts 2 and 3 go into the workflows: how to screen markets and assets, how to model project economics without a banking engagement, and how to quantify network upgrade cost exposure before you are committed to a deal.

The greenfield math has changed

Capital costs for new gas-fired generation have roughly doubled over the past 12 to 18 months. Building a new combined cycle plant cost approximately $1,000 per kilowatt in 2023 and 2024. Today, quotes are running $2,000 to $3,000 per kilowatt. At those numbers, project-level returns and debt service coverage ratios are extremely tight in most markets, even before financing costs enter the picture. Some state-level programs, like the Texas Energy Fund, were specifically designed to provide low-cost financing to work around this environment, but access is limited and the underlying cost pressure extends across the entire space. 

Supply chain pressure compounds the timeline. Ordering gas turbines today puts a new combined cycle build roughly 80 months from concept to first power on average. That is nearly seven years. Alternative technologies can help in some cases, but the lead time challenge extends well beyond combined cycle generation. 

On the renewable side, the constraint is the interconnection queue. Applications have surged over the past decade, driven by IRA incentives, improving technology costs, and rising clean energy demand. Queue delays have lengthened materially as a result. In CAISO, developers can expect delays of up to 22 months and that figure covers queue processing time only. 

The grid itself has tightened in parallel. Network upgrade costs in the Eastern interconnection have risen sharply since 2019. Finding greenfield sites with sufficient substation headroom and manageable upgrade exposure is harder than it has ever been. We cover that dynamic in depth in Post 3 of this series. 

Bottom line: Greenfield development remains viable, but longer timelines, higher costs, and growing interconnection risk are increasing the value of later-stage and operating assets.

Policy is compressing the timeline for
earlier-stage projects

The passage of the One Big Beautiful Bill has accelerated the phase-down of the Investment Tax Credit and the Production Tax Credit. Safe harbor provisions will protect a meaningful volume of capacity already in development, but the window for earlier-stage projects to qualify is narrowing toward the end of the decade. 

The impact lands hardest in markets with lower solar capacity factors. In New York and ISO New England, LCOE rises materially when tax credit support steps down, and PPA prices will need to move up to compensate. Projects that made sense under the previous policy environment may not under this one. 

This does not make renewables development unviable. It does change which projects and which markets hold up under tighter economics, and it raises the bar for greenfield diligence considerably. 

Bottom line: Policy changes are not eliminating opportunity, but they are increasing the importance of timing. Projects that are further along the development curve have a growing advantage. 

The tailwinds are real. And increasingly, they
favor speed. 

The reason M&A activity is accelerating is not because developers have become more risk averse. It is because the opportunity set has expanded. The demand side of the power market has shifted in a way not seen in two decades. Load growth that was flat or declining for years has reversed. Multiple drivers are stacking simultaneously for
the first time: 

  • Data center buildout: AI infrastructure is driving sustained, concentrated power demand across major markets 
  • EV adoption: Fleet and consumer electrification is adding load across ISOs at a pace that has outpaced
    earlier forecasts 
  • Heating electrification: State incentives have accelerated the shift from gas to electric heating across several key markets 

Our long-term load forecasts, built from the bottom up across load drivers, reflect all of this. For a deeper look at where that demand is concentrating geographically, the Enverus Intelligence® Research team has published analysis on data center power demand that is worth reading alongside this post. 

One emerging pattern worth watching is the rise of behind-the-meter power strategies for data centers. Some hyperscalers and co-locators are exploring on-site generation and storage to work around grid connection timelines. While we view this largely as a bridge solution rather than a replacement for grid interconnection, it highlights how valuable speed-to-power has become. 

Forward prices have responded. PJM forward LMPs have seen material appreciation over the last two years as development pipelines grow and new large loads come online. That appreciation has already shown up in the equity performance of large thermal IPPs, Vistra, Constellation, Talen, and NRG among them, which hold substantial portfolios of operating gas generation positioned to benefit from higher clearing prices. 

Corporate off-takers remain committed. The top 20 PPA buyers between 2020 and 2024, Amazon, Microsoft, Meta, and Google among them, are still expanding their clean energy contracting as data center capacity grows. Nuclear PPAs in PJM are executing at premiums of roughly $30 above prevailing forward prices, with deals running $80 to $90 per megawatt-hour on average. Natural gas facility PPAs are following with a lower but still meaningful premium over spot. 

Perhaps most notably, the hyperscalers have started acquiring assets directly rather than contracting off them. Google’s acquisition of Intersect Power and AWS’s purchase of assets from the Pine Gate bankruptcy both signal a new exit pathway: develop and de-risk an asset to a certain stage, then sell at a premium to a hyperscaler based on proximity to their data center campuses. For developers, that potentially expands the exit universe beyond traditional utilities, infrastructure funds, and IPPs. A growing number of technology companies are becoming direct participants in power markets rather than simply power buyers. 

State policy provides an additional backstop. Sixteen states have clean energy targets above 50% of total generation, and four are committed to 100% clean. Even with federal policy introducing uncertainty, that state-level commitment creates a durable demand floor for de-risked renewable assets in the right markets. 
 
Taken together, these trends point to a market that is becoming increasingly supply-constrained rather than demand-constrained. For much of the past decade, developers worried about finding demand. Today, the bigger challenge is bringing capacity online fast enough to meet it. 

Bottom line: Demand growth, stronger forward pricing, active corporate procurement, and new buyer classes are creating a more favorable market for de-risked assets than at any point in the last decade. 

What this means for your pipeline strategy

Operating and later-stage assets capture the same upside: power price appreciation, PPA demand, state clean energy mandates. What they reduce is greenfield exposure: fewer queue-related delays, less construction cost uncertainty, and fewer late-stage development surprises. 

The implication for developers is straightforward: project quality still matters, but asset maturity has become a competitive advantage. In markets where queue delays, network upgrade uncertainty, and policy timelines can add years to development schedules, later-stage projects have gained a scarcity value of their own. 

The trade-off is diligence speed. When you are evaluating multiple opportunities at the same time with limited internal bandwidth, the bottleneck is not the decision. It is the time it takes to build a credible view of each asset. Queue history, power price realization at the node, network upgrade exposure, preliminary design feasibility: assembling those inputs from scratch on every opportunity is not viable at the pace M&A requires. 

The winners of the next development cycle may not be the teams with the largest pipelines. They may be the teams that can convert opportunity into operating capacity the fastest. That is what we built for. Enverus PRISM® brings together queue data, substation headroom, nodal LMP forecasts, pre-built asset economics, and land feasibility in a single platform, updated daily. Our research team, through Enverus Intelligence® Research, tracks the policy environment, IRA phase-down, safe harbor capacity, and state RPS commitments, so you have the strategic context alongside the asset-level data. 

In our next post, we’ll walk through how to screen thousands of operating and queued assets in minutes using nodal pricing, queue intelligence, and asset-level economics. After that, we’ll show how to quantify network upgrade risk before entering exclusivity. 

Want a framework for evaluating renewable energy projects?  

Download our M&A due diligence checklist.  

Enverus Press Release - Price forecast downgraded in latest Fundamental Edge report

The Week in Energy – June 26, 2026

Execution gains in U.S. gas plays and new infrastructure tied to LNG and power demand led the week across energy markets.

Top Stories 

  • Enhanced completions drive BKV IP180s up 20% with low cost 
    BKV is achieving roughly 20% higher IP180 well performance in the Barnett through advanced completions and data-driven optimization. The gains are being delivered with minimal incremental cost, highlighting efficiency-driven production growth.  

  • Range pegs ramp to midyear gas plant startup, new LPG terminal 
    Range Resources is advancing a production ramp supported by a new gas processing plant and planned LPG export terminal. The additions will enable the company to bring a large DUC inventory online and increase output into 2027.  

  • Marubeni buying out Barnett driller EagleRidge Energy II 
    Marubeni acquired full ownership of EagleRidge Energy II, expanding its position in the Barnett shale. The deal reflects continued international investment targeting U.S. natural gas assets tied to LNG and power demand.  

  • ET’s new ethane export expansion already fully subscribed 
    Energy Transfer sanctioned an ethane export expansion at its Nederland terminal that is fully committed under long-term contracts. The project adds significant capacity and reinforces strong global demand for
    U.S. NGL exports.  

  • Chevron building Permian gas-fired power plant for Microsoft 
    Chevron is developing a large gas-fired power project in the Permian to supply a Microsoft data center under a long-term agreement. The development highlights growing links between upstream supply and power demand driven by data center growth.  

Additional Stories

Also this week: Kimbell closes Permian royalty deal; Sixth Street backs Comstock midstream; Venture Global expands LNG offtake and refis debt; Baker Hughes wins Nigeria gas services work; Azule FIDs Angola offshore project; Murphy makes Côte d’Ivoire discovery; Pattern brings largest U.S. wind project online; rPlus ramps Utah solar-plus-storage; geothermal and lithium developments advance.

To learn more, reach out to businessdevelopment@enverus.com or visit www.enverus.com

800 VDC rewrites AI data center power economics

800 VDC rewrites AI data center power economics

CALGARY, Alberta (June 24, 2026) — Enverus Intelligence® Research (EIR), a subsidiary of Enverus, the leading energy data analytics platform, is releasing its latest report, 800 VDC | The Voltage Shift That Rewrites AI Power Economics.

The report evaluates why the transition from 415 volts alternating current (VAC) to 800 volts direct current (VDC) inside AI data centers is becoming necessary as next-generation AI chips and rack architectures push power density beyond what legacy distribution systems were designed to support. EIR notes that AI rack power density is already moving past 100 kW per rack and is headed toward substantially higher levels, making lower-voltage distribution increasingly impractical because of current, copper and space constraints.

According to EIR, new AI platform designs specifying 800 VDC are accelerating the need for data center power architectures that can support higher-density racks, liquid cooling and more efficient power delivery from the facility edge to compute. The resulting economic benefits are material: EIR estimates 800 VDC distribution can reduce electrical capex by 13%, lift end-to-end facility efficiency by 14 percentage points, from 79.8% to 93.8%, and reduce copper mass by up to 60% per MW compared with legacy 415 VAC architecture.

EIR also finds that once 800 VDC becomes the backbone for higher-density AI campuses, the architecture can extend beyond the data center itself. When paired with DC-coupled behind-the-meter solar, battery storage and fuel cells, EIR estimates a combined 10-year value stack of $1.63 billion per 1-GW campus, including $440 million tied to eliminating AC-path conversion losses.

“Next-generation AI chips are forcing a rethink of data center power architecture. At the rack densities now coming into view, 800 VDC is less about chasing incremental savings and more about making the next phase of AI infrastructure physically and electrically workable,” said report author and senior EIR analyst Carson Kearl.

Key takeaways:

  • New AI chip and rack designs are pushing power density beyond the practical limits of legacy lower-voltage data center distribution systems.
  • EIR says 800 VDC is emerging as the required architecture for next-generation AI racks because it can move much higher power with less current, less copper and less physical space.
  • EIR estimates 800 VDC distribution cuts electrical capex 13% versus 415 VAC architecture, but the report frames those savings as an outcome of solving the power-density challenge.
  • End-to-end facility efficiency rises 14 percentage points, from 79.8% to 93.8%, under EIR’s modeled architecture, as 800 VDC eliminates multiple conversion stages.
  • Copper mass falls by up to 60% per MW, helping make higher-density AI rack designs physically and economically feasible.

FIGURE 2 | Conversion Stack 800 VDC Elimiates Two Loss Stages

Conversion Stack 800 VDC Elimiates Two Loss Stages

EIR’s analysis pulls from a variety of products including Enverus ONE.

You must be an Enverus Intelligence® Research subscriber to access this report.

EIR research reports cannot be distributed to members of the media without a scheduled interview. Journalists interested in learning more about this analysis are encouraged to use our Request Media Interview button to schedule a time to meet with one of our expert analysts, who can provide context, insight, and deeper discussion of the findings.

About Enverus Intelligence® Research

Enverus Intelligence ® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations and macro-economic forecasts; and helps make intelligent connections for energy industry participants, service companies and capital providers worldwide. Enverus is the most trusted, energy-dedicated SaaS company, with a platform built to create value from generative AI, offering real-time access to analytics, insights and benchmark cost and revenue data sourced from our partnerships to 95% of U.S. energy producers, and more than 40,000 suppliers. Learn more at Enverus.com.

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