Global Equities Markets Rise After U.S. Inflation Data
In terms of U.S. data, focus turns to weekly jobless claims on Thursday, followed by retail sales for July and the University of Michigan preliminary consumer survey for August on Friday.
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Study develops new methodology to estimate energy consumption of digital services
A new study by Europe Economics has developed a new methodology for estimating the total electricity consumption of digital services relative to credible physical alternatives. The report, commissioned by the Department for Energy Security and Net Zero, reveals how the expansion of digital services and the data centres that support them impacts energy consumption in the UK. The research introduces a comparative approach that evaluates energy consumption across the entire delivery chain for both digital and physical services. This includes the energy used by data centres, transmission networks, and end-user devices for digital services, as well as manufacturing, transportation, retail operations, office-based service delivery, and end-user devices for physical alternatives. The study moves beyond traditional analyses that often isolate individual system components or focus solely on carbon emissions. Three specific use cases examined in the report include video streaming versus Blu-ray discs, eBook reading versus printed books, and AI-powered translation versus human translation. For each scenario, energy consumption was calculated under low, medium, and high assumptions. The findings indicate that for all three use cases, the digital options are either on par with or significantly less energy-intensive than the physical alternatives. The methodology employed by the study is designed to isolate the energy use attributable to the service itself, disregarding any increase in activity that might result from digitalisation, such as cost reductions or labour redeployment. This approach aims to compare energy use in a hypothetical scenario where digitalisation does not contribute to economic growth. "Study develops new methodology to estimate energy consumption of digital services" was originally created and published by Power Technology, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Sign in to access your portfolio
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Intuitive Machines Stock Tumbles After Company Prices $300M Convertibles
Aug 14 - Shares of Intuitive Machines (NASDAQ:LUNR) fell about 10% in premarket trading on Thursday after the space-tech firm priced an upsized $300 million offering of 2.500% convertible senior notes due 2030. The deal jumped from an originally announced $250 million size and gives initial purchasers a 13-day window to buy an extra $45 million. The offering should close on Aug. 18, 2025. Warning! GuruFocus has detected 5 Warning Signs with LUNR. The notes carry a 2.500% annual coupon, payable semiannually each April 1 and Oct. 1 starting April 1, 2026. Intuitive Machines estimates net proceeds near $291.8 million after fees; roughly $32 million will cover capped-call hedges and the balance will fund general corporate purposes, including program advancement and runway support. Convertibles allow the companies to borrow at low rates now and leave optional deferred upside in the form of conversion to equity later, that structure has the effect of reducing immediate interest expense but causing possible share dilution in the future. This negative response by the market could have been prompted by an investor fear of dilution and timeframe as the company continues to achieve the next milestones. As the cash runway tightens on many small-space players, this capital raise could give Intuitive Machines some form of breathing room, with investors noting how the management intends to use it, whether important mission milestones play out, and how conversion mechanics could alter the number of shares in the period preceding 2030. This article first appeared on GuruFocus.
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DeepSeek Postpones New AI Model After Huawei Chip Hurdles
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