Middle-East Developments Raise Risk of Large Gas Supply Disruptions, Goldman Says
0752 GMT – European natural gas markets are expected to be pricing in a higher risk of significant supply disruptions due to the latest geopolitical developments in the Middle East, according to Goldman Sachs. Analysts at the U.S. bank estimate the benchmark Dutch TTF contract could rise closer to 74 euros a megawatt-hour—from around 42 euros currently—and above 100 euros in the event of a sustained disruption of supplies through the Strait of Hormuz. The impact on U.S. natural-gas prices is instead expected to be limited given the country's position as a major net exporter of LNG with minimal import needs, Goldman says. TTF rises 2.1% to 41.80 euros a megawatt-hour in early European trade. (giulia.petroni@wsj.com)
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
28 minutes ago
- Yahoo
ASM share buyback update June 16 – 20, 2025
Almere, The NetherlandsJune 23, 2025, 5:45 p.m. CET ASM International N.V. (Euronext Amsterdam: ASM) reports the following transactions, conducted under ASM's current share buyback program. Date Repurchased shares Average price Repurchased value June 18, 2025 215 € 517.52 € 111,267 June 19, 2025 3,423 € 512.74 € 1,755,120 June 20, 2025 3,732 € 515.14 € 1,922,520 Total 7,370 € 514.10 € 3,788,907 These repurchases were made as part of the €150 million share buyback program which started on April 30, 2025. Of the total program, 28.6% has been repurchased. For further details including individual transaction information please visit: About ASM International ASM International N.V., headquartered in Almere, the Netherlands, and its subsidiaries design and manufacture equipment and process solutions to produce semiconductor devices for wafer processing, and have facilities in the United States, Europe, and Asia. ASM International's common stock trades on the Euronext Amsterdam Stock Exchange (symbol: ASM). For more information, visit ASM's website at This press release contains inside information within the meaning of Article 7(1) of the EU Market Abuse Regulation. Contact Investor and media relations Victor BareñoT: +31 88 100 8500 E: Investor relations Valentina FantigrossiT: +31 88 100 8502E: in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
28 minutes ago
- Forbes
‘Everyone, Keep Oil Prices Down,' Trump Says Without Context
President Donald Trump issued a warning to keep oil prices down in a cryptic Truth Social post Monday that comes amid fears oil and gas prices could surge if Iran retaliates against U.S. strikes by shutting down the Strait of Hormuz. President Donald Trump returns to the White House prior to a meeting with his National Security ... More Council to discuss the ongoing conflict between Iran and Israel on June 21, 2025 in Washington, DC. (Photo by Craig Hudson For The Washington Post via Getty Images) The Washington Post via Getty Images 'Everyone, keep oil prices down,' Trump said in an all-caps post, writing 'I'm watching! You're playing right into the hands of the enemy. Don't do it!' It's unclear who Trump was referring to, but it's possible he was addressing oil producers. In a subsequent post directed at the Department of Energy, Trump wrote 'DRILL, BABY, DRILL!!! And I mean NOW!!!' The Energy Department does not drill for oil, but manages the Strategic Petroleum Reserve and provides research and policy support related to oil production, among other industry-adjacent functions. Oil prices were flat Monday following the U.S. military's surprise attacks on three Iranian nuclear facilities over the weekend, but analysts warned prices could surge if Iran retaliates by closing the Strait of Hormuz, a key transportation route for oil and gas that links the Persian Gulf to the Arabian Sea. 30%. That's how much oil prices could rise, to up to $110 per barrel, if Iran moves to close the Strait and oil flow declines 50% for at least one month, Goldman Sachs cautioned Monday. Prices for international oil were flat Monday at $77 per barrel by 10 a.m. EDT. Key Background Iran has vowed to respond to the attack, with its Foreign Minister Abbas Araghchi tweeting early Sunday that it 'reserves all options,' calling the attack 'outrageous' and vowing that it would 'have everlasting consequences.' Iranian parliament has approved a plan to potentially shut down the Strait, Iranian state media reported after the U.S. attacks Saturday. A quarter of global oil and 20% of liquefied natural gas is transported through the 90-mile waterway, according to The New York Times, which notes most of the oil that passes through the Strait goes to Asia. Iran would likely shut down the Strait by lacing it with mines, requiring the U.S. military to engage in a potentially dangerous demining operation, The Times notes. Rising Oil Prices Could Spike Another 30% If Iran Blocks Strait Of Hormuz, Goldman Warns (Forbes) U.S. Strikes Iran: 'Suspicious Package' Halts Miami Metro As U.S. Cities On Alert (Forbes) Trump's Strike On Iran Draws Criticism From Democrats—World Leaders Call For De-escalation (Forbes)
Forbes
28 minutes ago
- Forbes
Forging A Responsible, Secure Way Forward For Open-Source AI
Dirk-Peter van Leeuwen is the CEO of SUSE, a global leader in innovative, reliable and secure enterprise open source solutions. As AI adoption continues to accelerate, the focus is shifting from experimentation to execution. How do businesses harness AI's potential in ways that are practical, principled and at scale? The answer lies in an open approach. Organizations can achieve responsible, transparent and secure AI through open-source tools and open platforms that foster innovation without locking it behind proprietary walls. With large language models and other AI technologies evolving at lightning speed, agility and adaptability are essential—and an open, collaborative ecosystem can keep up. My conviction comes from observing previous technical revolutions that have moved from experimentation to scale. Large-scale adoption while keeping the pace of innovation only really happened when open source (and its community) was at its heart. Linux stands as a powerful testament to the value of open-source development. By making its code freely available, Linux invited a global community of developers to collaborate, test and innovate—resulting in one of the most secure and scalable operating systems in the world. Today, it runs everything from smartphones to supercomputers, proving that openness doesn't hinder progress—it accelerates it. Kubernetes is the backbone of modern cloud infrastructure. It enables scalable, vendor-neutral application deployments as well as open internet protocols, which enable the interoperable, decentralized growth of the internet. This proves that open standards can scale globally and empower billions without centralized control. As we chart the future of AI, embracing similar openness can ensure the technology benefits from collective expertise and serves the broader good. Understanding Open-Source AI Before diving into what an open approach to AI looks like in practice, we must first understand what 'open-source AI' really means. Defining it is a complex and evolving effort involving plenty of debate, but creating a standard is helpful for providing clear guidelines, promoting transparency and trust, and accelerating innovation and collaboration. One formal definition that has emerged comes from the Open Source Initiative (OSI): the Open Source AI Definition (OSAID), which is a work in progress that we endorse. At a high level, the OSAID defines open-source AI as an AI system that allows users to: • 'Use the system for any purpose and without having to ask for permission.' • 'Study how the system works and inspect its components.' • 'Modify the system for any purpose, including to change its output.' • 'Share the system for others to use with or without modifications, for any purpose.' I will be referencing the OSAID when discussing an open approach to AI. Ultimately, whichever definition you endorse, openness remains essential to building trust and driving AI progress. Building Blocks For Trustworthy And Open AI There are three cornerstones for a future where AI innovation is both fast-moving and fundamentally trustworthy: open datasets, open infrastructure and regulatory guardrails/legal frameworks. How to treat datasets used for training is a subject of debate because, unlike source code, data influences models through patterns and can include proprietary or sensitive information. Finding the right balance between openness and legal protections and practical restrictions is key. This is why the OSAID emphasizes making training data accessible to the public and ensuring transparency about all datasets and the process for cleaning and labeling them. Robust, open infrastructure is another critical factor for quick and secure GenAI deployments when security and observability are built into the platform. The benefits of this approach include flexibility and interoperability; applications can seamlessly integrate with a variety of technologies and platforms. Open infrastructure also allows for customization and avoids vendor lock-in. Organizations are under stricter scrutiny for their risk and security management, and that also applies to how they use AI. Regulatory guardrails and legal frameworks are essential to ensuring secure and responsible AI use against threats like data leakage, prompt injection attacks and modern manipulation—all of which can result in costly repercussions. How Businesses Can Adopt An Open Approach To AI In reality, most businesses can't achieve complete open source for AI use given legal and practical constraints like data privacy laws, intellectual property protection and the risk of misuse or security threats. Additionally, the complexity of scaling AI infrastructure and potential legal liability make companies cautious about releasing powerful models without safeguards. So what does an open approach to AI look like in practice? Leveraging the building blocks I mentioned earlier, let's look at some of the key implementation strategies: This first step is key to IP protection, as depending on the sensitivity of the information, different levels of openness may be applied. Your organization's guidelines for AI access and usage should prioritize data governance and security and proportion restrictions by risk level. Consider zero-trust security frameworks and conduct regular auditing and monitoring of AI systems using observability tools to detect and nip problems in the bud. Open weights refer to the final parameters of a trained AI model made publicly available. They differ from open-source AI in that they usually don't allow access to the model's architecture, training data and code. Since training AI models is a time-consuming, resource-intensive and expensive process, it's more realistic for most organizations to use, distribute and modify open weights instead of training a model from scratch. Open Source: The Future Of AI AI innovation and execution are moving at breakneck speed, but it requires an open approach to truly succeed through fostering transparency and trust and focusing on flexibility and security. Embracing open-source principles for AI models, data and infrastructure is key to unlocking AI's full potential while also ensuring it remains agile, trustworthy and, ultimately, beneficial for all. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
