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Yahoo
18 minutes ago
- Yahoo
Oracle to invest $3 billion in AI, cloud expansion in Germany, Netherlands
(Reuters) -Oracle will invest $3 billion in Germany and the Netherlands over the next five years to bolster its infrastructure powering artificial intelligence and cloud offerings in the European market, the company said on Tuesday. The Austin, Texas-based company joins a growing list of technology firms that have pledged tens of billions of dollars to meet robust cloud computing demand as businesses increasingly deploy AI workloads. Last year, Amazon said it would invest 10 billion euros in Germany, bringing its total planned investments in the European country to 17.8 billion euros. Together, big tech companies are expected to spend $320 billion on AI this year. On Monday, Meta CEO Mark Zuckerberg said the social media giant would spend hundreds of billions of dollars to build several massive AI data centers. Demand has been growing for the cloud and AI services offered by firms including Oracle, Microsoft and Google because they can replace or outperform software created by traditional IT firms, some analysts say. Oracle would spend $2 billion in Germany and $1 billion in the Netherlands, the company said in separate statements. Its shares rose 2% in trading before the bell. They have risen nearly 38% so far this year. The company expects its capital spending to surpass $25 billion in fiscal 2026, with the bulk of the expenditure committed to data-center infrastructure, including for AI. "As we bring more capacity online, our revenue and profit growth will further accelerate," Oracle CEO Safra Catz said in June. Oracle has secured a deal with an undisclosed client that is expected to generate over $30 billion in annual revenue for the company starting in fiscal year 2028, according to a regulatory filing last month.
Business Wire
21 minutes ago
- Business Wire
Eaton Accelerates the Transformation of Data Center Infrastructure in the AI Era with NVIDIA
CLEVELAND--(BUSINESS WIRE)--Intelligent power management company Eaton today announced that it is enabling the shift to high-voltage direct current (HVDC) power infrastructure in artificial intelligence (AI) data centers. Eaton is collaborating with NVIDIA on design best practices, reference architectures and innovative power management solutions tailored to support high-density GPU deployments, such as NVIDIA Kyber rack-scale systems with NVIDIA Rubin Ultra GPUs. This includes helping lead the transition to 800 V HVDC power infrastructure to support 1 megawatt racks and beyond as well as exploring opportunities to leverage its solutions in the NVIDIA Omniverse Blueprint for AI factory design and operations. Worldwide data center capex is projected to surpass $1 trillion by 2029 as operators invest in infrastructure capable of supporting the training and inference workloads of evolving models. As part of the NVIDIA Partner Network, Eaton is leveraging its deep expertise in power management and broad portfolio of technologies to design systems that meet the growing demands of AI workloads across the entire power ecosystem, from the grid to the chip level. 'With our decades of expertise in electrical power management innovation and broad solution portfolio, Eaton is uniquely positioned to support the demands of data centers in the AI era,' said Heath Monesmith, president and chief operating officer (COO), Electrical Sector, Eaton. 'Joining NVIDIA and other industry leaders enables us to further advance our strategy of providing systems that meet the demanding power, cooling and operational requirements of data centers and AI factories.' Eaton's grid-to-chip approach offers a comprehensive strategy for optimizing both white and gray space in AI data centers, with a portfolio of intelligent power distribution systems, backup power solutions, digital offers and other technologies that are essential to ensuring continuous operations and optimizing energy use in AI-driven environments. Eaton provides consultative services and expert advice to customers seeking to implement NVIDIA-based solutions or technologies. Eaton is an intelligent power management company dedicated to protecting the environment and improving the quality of life for people everywhere. We make products for the data center, utility, industrial, commercial, machine building, residential, aerospace and mobility markets. We are guided by our commitment to do business right, to operate sustainably and to help our customers manage power ─ today and well into the future. By capitalizing on the global growth trends of electrification and digitalization, we're helping to solve the world's most urgent power management challenges and building a more sustainable society for people today and generations to come. Founded in 1911, Eaton has continuously evolved to meet the changing and expanding needs of our stakeholders. With revenues of nearly $25 billion in 2024, the company serves customers in more than 160 countries. For more information, visit Follow us on LinkedIn.
Forbes
22 minutes ago
- Forbes
3 AI Jobs That Pay $100,000+ And Don't Require A Degree
You can either allow yourself to get crushed by AI, or leverage it to further your career getty Glassdoor and Indeed just announced about 1,300 employees being laid off. Let that fully sink in. The companies we look to as the gatekeepers of the job market, to help us find work and enable us to recover from layoffs, are themselves suffering the effects of automation. Even these platforms are not immune to being hit with AI-induced layoffs. So the question is, are you going to wait for the pink slip, or will you position yourself at the forefront of the AI wave and use it to make money and boost your career? Within this article, you'll learn: Which AI jobs pay over $100,000 The skills you need to land AI jobs How to land an AI job without a degree Where to learn AI skills for free, and relatively inexpensive AI courses/certificates Here's how to get hired: Which AI Jobs Pay Over $100,000 Without A Bachelor's Degree? Here are a few AI-powered roles that are in high demand right now and pay extremely well: 1. AI Consultant What you'll do: You'll support, train, strategize, and advise companies on effective and ethical AI implementation and integration for their workflows and teams. How much it pays: A single AI consulting project (as a freelancer) can pay as much as $150,000 and above How to break into AI consulting: Build a solid technical foundation through undertaking AI, machine learning, and and data science-related courses Focus on applying AI to real-life business problems and build your own use cases Create a live LinkedIn portfolio that showcases your projects, what you're discovering and learning, and how you're using AI to transform niche business challenges 2. AI Content Writer/Creator/Strategist What you'll do: You'll be focused on training LLMs, ensuring factual quality and accuracy in AI outputs, and/or this role could involve optimizing AI-generated content to align with a brand's voice while ensuring it doesn't sound overly robotic; as an example of what this role would look like and what's required, Amazon is currently hiring for an AI content writer. How much it pays: Between $83,000 to $189,000, according to ZipRecruiter How to break into AI content writing: Ensure you have a robust copywriting/editing background Define your areas of expertise so you can easily work with AI-generated content for specific subject matter Have experience collaborating with AI for producing written content 3. No-Code AI App Developer What you'll do: Use drag-and-drop interfaces on no-code app development platforms to build and manage AI-powered applications, without needing to code or do manual programming. How much it pays: $103,571 on average How to break into no-code app development: Build a solid technical background through microcredentials and courses, so you have awareness and knowledge of user experience, technical concepts, etc., even though you're not coding Create practice projects and use these as your portfolio Offer your services on Fiverr or other freelance marketplaces to expand your portfolio and find your niche What Skills Do You Need For High-Paying AI Jobs? To secure a high-paying job in the AI space, you'll need a mix of technical and power skills, which have been referred to as hard and soft skills in the past. Some of the core skills required, according to Forbes, include: Prompt engineering Data analysis Machine learning concepts AI fluency and literacy Critical thinking Strong communication skills Subject matter expertise AI Integrity and ethics You can read a full list of top AI skills to learn and add to your resume in this recent Forbes article. Where Can I Learn AI Skills For Free? If you're on a shoestring budget or watching your pennies closely because you're worried about the possibility of a layoff sweeping away all your hard-earned savings, here are some places where you can learn in-demand AI skills for free so you can rebuild your career: freeCodeCamp Google Simplilearn Microsoft edX IBM SkillsBuild How Can You Get A High-Paying AI Job Without A Degree? To secure a high-paying role it today's economy, the quickest and most efficient way to achieve this (including with reduced debt) is through microcredentials (short training courses, usually held online). Microcredentials are effective because: They enable you to grasp technical concepts and learn the core elements of a skill within months. They tend to be very much hands-on and project-based instead of theory-focused. This makes them extremely relevant and attractive to employers, who favor candidates that possess microcredentials, leading to a 94% boost in hiring success. Other than undertaking short courses, some other steps you can take to secure a high-paying AI job, even without a degree, include: Strategically expanding your network with key decision-makers who are targeted Continuously refreshing and updating your professional learning Building your portfolio in public Having a well-optimized LinkedIn profile Positioning yourself as business problem-solver, for a specific niche/department/industry Seeking mentorship from those already making money through AI and learning from/closely connecting with experts in your field Employers in 2025 look for a portfolio and evidence of continuous learning even more than they seek ... More degree qualifications getty That degree you don't have? Irrelevant. Companies care more about your skills, results, and evidence of continuous learning. So, what are you doing now to stand out in a crowded job market? What will you do today to begin riding the AI wave, instead of allowing it to wipe you out? You can decide that for yourself. Or you can read this and scroll on.
