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OpenAI Secures Amazon $38B Deal, Nvidia GPUs

OpenAI and Amazon Web Services recently announced a significant seven-year partnership valued at $38 billion, marking a major expansion of OpenAI's computing infrastructure. Under this agreement, OpenAI will leverage AWS's cloud services, gaining immediate access to hundreds of thousands of Nvidia GPUs, including the powerful GB200 and GB300 AI accelerators, housed in Amazon EC2 UltraServers. This substantial deal positions Amazon as OpenAI's largest cloud provider, a notable win for AWS in its ongoing competition with Microsoft Azure and Google Cloud. OpenAI, the creator of ChatGPT, plans to deploy all targeted capacity by the end of 2026, with options for further expansion into 2027 and beyond, committing to spend over $100 million annually on AWS cloud services for the next four years. This move diversifies OpenAI's cloud strategy, following a renegotiation of its partnership with Microsoft, which previously held exclusive cloud provider status. The announcement led to a nearly 5% rise in Amazon's shares, adding $140 billion to its market value. Beyond this landmark deal, the broader implications of AI continue to spark widespread discussion. Geoffrey Hinton, often called the 'Godfather of AI,' warns that tech giants are investing in AI with the explicit goal of replacing human jobs to maximize profits. He notes a roughly 30% drop in entry-level job openings since ChatGPT's launch, with a report from Bernie Sanders suggesting AI could displace nearly 100 million US jobs within a decade. Walmart CEO Doug McMillon echoes this sentiment, stating AI will transform every job within the company, from cart collection to leadership roles, as Walmart expands its AI tools and provides employees with access to generative AI and specialized training programs. Regulatory bodies are also grappling with the rapid evolution of AI. The European Union, for instance, is taking at least another year to decide how to regulate ChatGPT under its digital laws. With over 120 million monthly users, ChatGPT now exceeds the threshold for 'very large online platforms,' potentially facing fines up to 6% of its global turnover, depending on its classification. Data privacy and security remain paramount concerns, as highlighted by Oracle's Juan Loaiza, who emphasizes building these features directly into the AI-data stack for critical enterprise systems. Meanwhile, LinkedIn is expanding its use of professional content, including profiles and posts, for generative AI training globally, with many users in the US, EU, EEA, Switzerland, and UK opted-in by default, raising questions about data usage and user awareness. Parents are also voicing concerns about the potential dangers of AI chatbots for teenagers. Financially, the massive corporate spending on AI, exemplified by Meta's $11 billion bond sale, could create competition for borrowed funds with the US Treasury, potentially leading to higher interest payments for government debt. Ethically, discussions are emerging about AI's impact on human cognition and societal values, with calls for a biblical ethic of justice in its use. Despite these concerns, AI is also transforming everyday life, from enhancing dating apps, where an AI bot helped one developer find a partner, to improving retail experiences with AI-powered shopping features like conversational search and personalized recommendations at Walmart.

Key Takeaways

OpenAI and Amazon Web Services signed a seven-year, $38 billion partnership for AI computing power.
OpenAI will gain access to hundreds of thousands of Nvidia GB200 and GB300 AI accelerators and EC2 UltraServers on AWS.
This deal makes Amazon OpenAI's largest cloud provider, a significant win against Microsoft Azure and Google Cloud.
OpenAI plans to deploy all targeted capacity by the end of 2026, with options for further expansion into 2027 and beyond.
The partnership diversifies OpenAI's cloud infrastructure, moving beyond its previous exclusive reliance on Microsoft.
Geoffrey Hinton, the 'Godfather of AI,' warns that AI development aims to replace human jobs, noting a 30% drop in entry-level job openings since ChatGPT's launch.
The European Union is struggling to regulate ChatGPT, which exceeds the 'very large online platforms' threshold, potentially facing fines up to 6% of its global turnover.
LinkedIn is expanding the use of user data (profiles, posts, resumes) for generative AI training globally, with an opt-out option available in privacy settings.
Oracle emphasizes embedding trust, privacy, and security directly into the AI-data stack for enterprise use, especially in critical sectors.
Walmart CEO Doug McMillon states AI will change every job at the company, with Walmart providing employees access to generative AI tools and training programs.

AWS and OpenAI partner for AI infrastructure

Amazon Web Services and OpenAI announced a multi-year partnership worth $38 billion over seven years. OpenAI will use AWS's world-class infrastructure, including Amazon EC2 UltraServers with hundreds of thousands of NVIDIA GPUs, to run and scale its advanced AI workloads like ChatGPT. This deal allows OpenAI to rapidly expand its computing power, with all capacity planned for deployment by the end of 2026. OpenAI CEO Sam Altman and AWS CEO Matt Garman both highlighted the importance of this collaboration for the future of AI. This partnership builds on their existing work, with OpenAI models already available on Amazon Bedrock for thousands of customers.

OpenAI secures $38 billion Amazon AI deal

OpenAI and Amazon signed a $38 billion deal for AI computing power. This agreement allows OpenAI, the maker of ChatGPT, to use Amazon Web Services for its artificial intelligence systems. OpenAI will gain access to hundreds of thousands of Nvidia AI chips. The deal was announced on Monday, shortly after OpenAI changed its partnership with Microsoft, making Microsoft no longer its exclusive cloud provider. OpenAI plans to deploy all capacity by the end of 2026, with options to expand further into 2027 and beyond.

OpenAI partners with Amazon AWS for $38 billion

OpenAI and Amazon Web Services announced a $38 billion partnership. This deal allows OpenAI, the creator of ChatGPT, to run and scale its AI workloads on AWS's cloud infrastructure. Amazon will become OpenAI's largest cloud provider, providing vast computing power to train its artificial intelligence models. This is a big win for AWS in its competition with Microsoft Azure and Google Cloud. The partnership will help OpenAI expand its operations and meet the increasing demand for its AI products.

Amazon signs $38 billion chip deal with OpenAI

Amazon has signed a $38 billion deal with OpenAI to provide access to Nvidia chips for its AI operations. The ChatGPT maker will use Amazon Web Services to access hundreds of thousands of Nvidia GB200 and GB300 AI accelerators. OpenAI will immediately begin using this computing power, with full capacity deployed by the end of 2026 and options for further expansion. OpenAI CEO Sam Altman stated that this partnership strengthens the compute ecosystem for advanced AI. Amazon's stock rose 4.5% after the announcement.

OpenAI expands cloud with $38 billion Amazon deal

OpenAI has signed a seven-year, $38 billion cloud deal with Amazon, expanding its infrastructure beyond Microsoft. This agreement allows the ChatGPT maker to use Amazon Web Services' new EC2 UltraServers, equipped with hundreds of thousands of Nvidia GPUs, for training and running its AI models. OpenAI CEO Sam Altman emphasized the need for massive, reliable compute for frontier AI. This move follows OpenAI's renegotiated partnership with Microsoft, which previously served as its exclusive cloud provider. Amazon's shares rose nearly 5% after the announcement.

OpenAI secures $38 billion AWS hardware deal

OpenAI signed a $38 billion deal with Amazon Web Services to gain immediate access to its AI hardware. This multi-year partnership provides OpenAI with hundreds of thousands of Nvidia Blackwell-powered EC2 UltraServers, including GB200s and GB300s GPUs. OpenAI can also scale up to tens of millions of CPUs for its AI workloads. The capacity is targeted for deployment by the end of 2026, with further expansion possible into 2027 and beyond. This deal adds AWS to OpenAI's existing cloud providers, which include Microsoft Azure, Google Cloud, and Oracle Cloud.

OpenAI and AWS ink $38 billion computing deal

OpenAI has struck a $38 billion computing deal with Amazon Web Services, Amazon's cloud unit. This partnership significantly expands their collaboration, with OpenAI committing to spend over $100 million annually on AWS cloud services for the next four years. OpenAI will use AWS's powerful GPUs to train and run its AI models, including ChatGPT. This agreement is a major win for AWS in its competition with Microsoft Azure and Google Cloud. The deal highlights the immense computing power needed for advanced AI and OpenAI's commitment to its future.

OpenAI and Amazon sign $38 billion AI deal

OpenAI has signed a $38 billion deal with Amazon for AI training. This agreement allows OpenAI to train its artificial intelligence models using hundreds of thousands of Nvidia chips located in AWS data centers. OpenAI will begin using AWS compute immediately. All the targeted capacity is expected to be deployed before the end of 2026, with options to expand further into 2027 and beyond.

OpenAI and Amazon ink $38 billion AI compute deal

OpenAI and Amazon have signed a $38 billion deal for AI computing power. This agreement allows OpenAI, the maker of ChatGPT, to run its AI systems on Amazon's US data centers using hundreds of thousands of Nvidia AI chips through Amazon Web Services. The deal was announced Monday, following OpenAI's recent change to its Microsoft partnership, which was previously exclusive. OpenAI will immediately begin using AWS compute, with full capacity deployed by the end of 2026 and potential for further expansion. This move addresses the huge demand for computing power needed for AI development and existing products like ChatGPT.

OpenAI makes $38 billion cloud deal with Amazon

OpenAI has signed a $38 billion compute deal with Amazon Web Services, marking its first major partnership with the cloud leader. This agreement, announced Monday, gives OpenAI immediate access to hundreds of thousands of Nvidia graphics processing units for its AI workloads. This move is a significant step away from its previous exclusive reliance on Microsoft Azure. OpenAI CEO Sam Altman emphasized the need for massive, reliable compute to scale frontier AI. The deal allows OpenAI to expand its infrastructure through 2026 and beyond, supporting both ChatGPT's real-time responses and the training of next-generation models.

OpenAI inks $38 billion Amazon cloud deal

OpenAI, the company behind ChatGPT, has signed a $38 billion cloud computing deal with Amazon. This seven-year contract gives OpenAI access to Amazon's cloud infrastructure and Nvidia graphics processors to train its artificial intelligence models. OpenAI CEO Sam Altman stated that this partnership with Amazon Web Services strengthens the compute ecosystem needed for advanced AI. The deal reflects the huge demand for computing power in the AI industry. Following the announcement, Amazon shares reached an all-time high, increasing its market value by $140 billion.

OpenAI secures huge $38 billion Amazon AI deal

OpenAI has signed a massive $38 billion, seven-year deal with Amazon for AI computing power. This agreement grants OpenAI access to hundreds of thousands of Nvidia graphics processors, including GB200 and GB300 AI accelerators, to train and run its AI models. OpenAI CEO Sam Altman emphasized that scaling frontier AI requires reliable compute. The company will use Amazon Web Services immediately, with all planned capacity online by the end of 2026 and potential for further expansion. This deal helps OpenAI meet its huge computing needs, which are beyond what its long-time partner Microsoft can provide.

OpenAI and Amazon sign $38 billion cloud deal

OpenAI has struck a landmark seven-year, $38 billion cloud deal with Amazon to boost its AI development. Announced Monday, this agreement provides the ChatGPT creator with access to hundreds of thousands of Nvidia graphics processors hosted on Amazon Web Services. OpenAI CEO Sam Altman stated that this partnership strengthens the compute ecosystem needed for advanced AI. OpenAI will begin using AWS immediately, with full capacity expected by the end of 2026 and potential for further expansion. This deal follows OpenAI's recent corporate restructuring, which removed Microsoft's exclusive right to supply computing resources.

OpenAI and Amazon strike $38 billion AI deal

OpenAI has signed a seven-year, $38 billion deal with Amazon to run its AI workloads on Amazon Web Services cloud infrastructure. This agreement, announced Monday, gives the ChatGPT maker access to thousands of Nvidia graphics processors to train and run its artificial intelligence models. OpenAI CEO Sam Altman stated that scaling frontier AI requires massive, reliable compute. The deal is a significant vote of confidence for AWS, which will deploy hundreds of thousands of Nvidia GB200 and GB300 AI accelerators. This partnership comes amid OpenAI's massive spending commitments for AI infrastructure and growing concerns about the energy demands of AI data centers.

OpenAI and Amazon strike $38 billion agreement for ChatGPT maker to use AWS

OpenAI has signed a seven-year, $38 billion deal to buy cloud services from Amazon.com, giving it access to hundreds of thousands of Nvidia graphics processors to train and run its AI models. This agreement, announced Monday, is a major vote of confidence for Amazon Web Services, which some investors feared was falling behind rivals. OpenAI CEO Sam Altman emphasized the need for massive, reliable compute for frontier AI. OpenAI will begin using AWS immediately, with full capacity expected by the end of 2026 and potential for further expansion. Amazon plans to deploy Nvidia's GB200 and GB300 AI accelerators in data clusters to power ChatGPT and train next-generation models.

AI Godfather warns jobs at risk for profit

Geoffrey Hinton, known as the "Godfather of AI," warns that tech giants are investing in AI with the goal of replacing human jobs to maximize profits. He believes that making money from AI will require replacing human labor. Since ChatGPT launched, job openings have dropped by about 30%, especially for entry-level roles. Hinton stated that while AI can do good in healthcare and education, the issue lies in how society is organized, which could lead to massive unemployment and increased profits for companies. A report from Bernie Sanders also warned that AI could replace nearly 100 million US jobs within a decade.

AI pioneer warns of job losses and wealth gap

Geoffrey Hinton, the "Godfather of AI," warns that artificial intelligence could lead to widespread job losses and further enrich billionaires like Elon Musk. He believes major companies are investing in AI with the expectation of replacing human labor for profit. Hinton stated that while AI offers great benefits in healthcare and education, the negative impact on jobs stems from how society is structured. Since ChatGPT's launch, job openings, especially entry-level ones, have already dropped by about 30%. Hinton suggests humanity might need a "Chernobyl moment" to fully grasp the dangers of unchecked AI development.

EU struggles to regulate ChatGPT and AI

The European Union is taking at least another year to decide how to regulate ChatGPT under its digital laws. Despite OpenAI reporting over 120 million monthly users for ChatGPT's search function, EU regulators are struggling to apply existing laws, which were created before AI chatbots became widespread. ChatGPT's high user numbers mean it now exceeds the threshold for "very large online platforms" under the Digital Services Act, potentially leading to fines up to 6% of its global turnover. The EU Commission must decide whether to classify ChatGPT as a search engine or a broader platform, which will determine the extent of its regulatory obligations. This situation highlights the challenge of adapting laws to rapidly evolving AI technology.

Oracle executive discusses AI data trust and privacy

Juan Loaiza, Oracle's EVP of Database Technologies, discussed the importance of trust, privacy, and security for AI in enterprises. He emphasized that these features must be built directly into the AI-data stack to prevent issues like data misuse and privacy violations, especially for critical systems like hospitals and banks. Oracle embeds privacy and access controls into its database engine, ensuring AI cannot leak unauthorized data. Loaiza also noted that Oracle provides flexibility for customers to run their database and AI workloads across multi-cloud, on-premises, and hybrid environments. He highlighted how AI is democratizing access to databases, allowing business users to interact with data using natural language instead of complex SQL.

Parents warn about AI chatbot dangers

On November 3, 2025, parents are speaking out about the dangers of AI chatbots. These lifelike computer programs interact with users, and many teenagers are using them. Parents are raising alarms about the potential risks these chatbots pose to young users.

AI spending could impact US Treasury bonds

Massive corporate spending on AI, exemplified by Meta's $11 billion bond sale, could create competition for borrowed funds with the US Treasury. Historically, cash-rich tech firms helped fund government debt, but the AI boom is transforming them into heavy borrowers. If AI investments continue to burn through cash and increase corporate debt, the US Treasury might face higher interest payments to attract investors. This shift in corporate leverage could significantly change the financial landscape in the coming years.

Pastors urged to weigh AI impact

Christianity Today published an article on November 3, 2025, urging pastors to carefully consider the impact of AI before using it. The article highlights that technology, like Google Maps, can subtly guide our lives and replace human cognitive functions. It asks pastors to consider what spiritual or cognitive abilities might weaken if they rely too much on AI tools for tasks like exegesis and reflection. A June 2025 study showed that people using AI for problem-solving exhibited weaker brain activity and lower ownership of their work. The article also questions whose voices AI amplifies and whose it silences, calling for a biblical ethic of justice in its use.

LinkedIn uses your data for AI training

Starting November 3, 2025, LinkedIn is expanding its use of professional content for AI training, impacting global users. Since September 2024, LinkedIn has been using user data, including profiles, posts, and resumes, to train generative AI models, with many US users unaware they were opted-in by default. This data could potentially be used to improve OpenAI's models due to Microsoft's investment in the company. Users in the US, EU, EEA, Switzerland, and UK should review their privacy settings, as the "Data for Generative AI Improvement" toggle is on by default. The article provides detailed steps on how to opt out and remove sensitive information from LinkedIn accounts.

Walmart CEO says AI will change every job

Walmart CEO Doug McMillon stated that AI will change every job within the company, from collecting shopping carts to leadership roles. Walmart is expanding its AI tools, including new AI-powered shopping features like conversational search and personalized recommendations. The company has given employees access to ChatGPT and other generative AI tools to help them adapt. Walmart Academies will create specific training programs to equip employees with new skills and certify technicians for automated systems. McMillon emphasized that Walmart aims to be the best at applying AI, not inventing frontier technology, while remaining a large employer.

AI could transform dating apps

On November 3, 2025, an article explores how AI might change dating apps like Tinder, Hinge, and Bumble. These companies are investing heavily in the technology. One example highlighted is Aleksandr Zhadan, a Moscow software developer, who used an AI bot to find a partner. His bot interacted with over 5,000 profiles on Tinder, leading to 100 real-world dates and eventually a marriage proposal.