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EIA Cuts Brent Oil Price Forecast for 2025 and 2026

The U.S. Energy Information Administration (EIA) cut its Brent spot average crude oil price forecast for 2025 and 2026 in its latest short term energy outlook (STEO), which was released on August 12. According to that STEO, the EIA sees the Brent spot price averaging $67.22 per barrel this year and $51.43 per barrel next […]

The U.S. Energy Information Administration (EIA) cut its Brent spot average crude oil price forecast for 2025 and 2026 in its latest short term energy outlook (STEO), which was released on August 12.

According to that STEO, the EIA sees the Brent spot price averaging $67.22 per barrel this year and $51.43 per barrel next year. In its previous STEO, which was released in July, the EIA projected that the Brent spot price would average $68.89 per barrel in 2025 and $58.48 per barrel in 2026.

The EIA revealed in its latest STEO that it sees the Brent spot price average coming in at $67.40 per barrel in the third quarter of this year, $58.05 per barrel in the fourth quarter, $49.97 per barrel in the first quarter of next year, $49.67 per barrel in the second quarter, $52 per barrel in the third quarter, and $54 per barrel in the fourth quarter.

In its previous July STEO, the EIA projected that the Brent spot price would average $68.02 per barrel in the third quarter of 2025, $64.02 per barrel in the fourth quarter, $60 per barrel in the first quarter of 2026, $59 per barrel in the second quarter, $58 per barrel in the third quarter, and $57 per barrel in the fourth quarter.

Both STEOs highlighted that the Brent spot price averaged $80.56 per barrel in 2024.

“Significant growth in oil supply will cause crude oil prices to fall in the coming months,” the EIA warned in its August STEO.  

“In our forecast, the Brent crude oil spot price falls from $71 per barrel in July to $58 per barrel in 4Q25 and $49 per barrel in March and April 2026,” it added.

“On August 3, OPEC+ members again agreed to accelerate their scheduled production increases. The 2.2 million barrels per day of production cuts announced in November 2023 and initially scheduled to be fully unwound by September 2026 will now be fully unwound by September of this year,” the EIA pointed out in its STEO.

“We expect this increase will contribute to large inventory builds through 2026, putting significant downward pressure on oil prices,” it continued.

In its STEO, the EIA said it now forecasts global liquid fuels production will rise by 2.0 million barrels per day on average in the second half of 2025, compared with the first half of the year.

“OPEC+ will contribute half of this increase. Non-OPEC producers led by the United States, Brazil, Norway, Canada, and Guyana provide the other half,” the EIA said in the STEO.

“At the same time, we expect global liquid fuels demand in 2H25 will be up 1.6 million barrels per day from the first six months of the year, meaning the pace at which oil is put into inventory will accelerate by almost 0.5 million barrels per day in 2H25,” it added.

“With inventories already building at a rate of 1.4 million barrels per day in 1H25, we now expect inventories will build by 1.9 million barrels per day in 2H25 and 2.3 million barrels per day in the first quarter of 2026,” it continued.

“During similar periods when global inventory builds exceeded one million barrels per day for a sustained time period – including 2020, 2015, and 1998 – crude oil prices declined by 25 percent – 50 percent from the previous year,” it went on to state.

The EIA noted in its August STEO that inventory builds of this size will cause market participants to seek increasingly expensive options for storing crude oil.

“As available commercial storage on land fills, other methods such as floating storage or strategic stock building might be increasingly used to match large imbalances between supply and demand,” the EIA said.

“In this case, crude oil prices will fall to reflect the higher marginal cost of storage,” it pointed out.

The EIA went on to state in its STEO that it expects that prices dropping below $50 per barrel will cause some producers to reduce supply.

“Particularly, we expect that OPEC+ will reduce crude oil production by 0.2 million barrel per day in 2026 compared with 4Q25. Some non-OPEC countries that rely on supply from short-investment cycles will also see oil production drop,” the EIA said.

“Most notable among these countries is the United States, where we expect annual average crude oil production in 2026 will decrease 0.1 million barrels per day on average from the record in 2025,” it added.

Falling oil prices will also cause a small increase in demand in 2026, the EIA noted in its August STEO.

“Combined with the slowdown in supply, we expect inventory builds will moderate slightly. Inventory builds in our forecast fall to near one million barrels per day in 2H26, which we expect will push the Brent price back to an average of $54 per barrel in 4Q26,” it added.

The EIA warned in its STEO that “significant uncertainty” is still present in its price forecast.

A report sent to Rigzone on Tuesday by the Standard Chartered team showed that Standard Chartered is projecting that the ICE Brent nearby future crude oil price will average $61 per barrel in 2025 and $78 per barrel in 2026.

In that report, the company predicted that the commodity will average $65 per barrel in the fourth quarter of 2025, $71 per barrel in the first quarter of next year, $76 per barrel in the second quarter, $81 per barrel in the third quarter, and $83 per barrel in the fourth quarter.

A J.P. Morgan research note sent to Rigzone by the JPM Commodities Research team on Monday showed that J.P. Morgan sees the Brent crude price averaging $66 per barrel this year and $58 per barrel next year.

J.P. Morgan projected in that note that the commodity will average $63 per barrel in the third quarter, $61 per barrel in the fourth quarter, $55 per barrel in the first quarter of next year, $57 per barrel across the second and third quarters, and $60 per barrel in the fourth quarter.

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EIA Cuts Brent Oil Price Forecast for 2025 and 2026

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Cisco’s 9% security growth is misleadingly low

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Nvidia targets data center with new servers, AI software

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Cisco Q4 results: AI infrastructure orders surpass goal

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Uptime Institute’s Jay Dietrich on Why Net Zero Isn’t Enough for Sustainable Data Centers

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Data Center Jobs: Engineering, Construction, Commissioning, Sales, Field Service and Facility Tech Jobs Available in Major Data Center Hotspots

Each month Data Center Frontier, in partnership with Pkaza, posts some of the hottest data center career opportunities in the market. Here’s a look at some of the latest data center jobs posted on the Data Center Frontier jobs board, powered by Pkaza Critical Facilities Recruiting. Peter Kazella of Pkaza Critical Facilities Recruiting provides tips for building a healthy applicant pool. Switchgear Field Service Technician – Critical Facilities Nationwide Travel  This position is also available in any major data center region: Ashburn, VA; Charlotte, NC; Atlanta, GA; Denver, CO; Portland, OR; Seattle, WA; Las Vegas, NV; or Phoenix, AZ. Multiple opportunities for both senior and mid-level switchgear field service technicians. These openings are with a nationwide market leader of power distribution solutions, specializing in switchgear and controls for mission-critical environments. This company provides customized solutions for enterprise, colocation, and hyperscale data centers, ensuring reliability and uptime through controls integration, power distribution solutions, and switchgear installations. Their services include installations, retrofits, upgrades, turnkey electrical solutions, and preventive & corrective maintenance of UPS, switchgear, generators, and PLC systems. This is an excellent career-growth opportunity to work on exciting projects with leading-edge technology and competitive compensation. Electrical Commissioning Engineer New Albany, OH This traveling position is also available in: Richmond, VA; Ashburn, VA; Charlotte, NC; Atlanta, GA; Hampton, GA; Fayetteville, GA; Minneapolis, MN; Phoenix, AZ; Dallas, TX; or Chicago, IL. *** ALSO looking for a LEAD EE and ME CxA agents and CxA PMs *** Our client is an engineering design and commissioning company that has a national footprint and specializes in MEP critical facilities design. They provide design, commissioning, consulting and management expertise in the critical facilities space. They have a mindset to provide reliability, energy efficiency, sustainable design and LEED expertise when providing these consulting services for enterprise, colocation and hyperscale companies. This career-growth

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DCF Trends Summit 2025: Power Chat

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Microsoft will invest $80B in AI data centers in fiscal 2025

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John Deere unveils more autonomous farm machines to address skill labor shortage

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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