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With growing demand for AI, Microsoft and IREN ink a $9.7 billion cloud partnership

Microsoft and IREN ink a $9.7 billion cloud partnership

Redmond, Washington — In a bold move to expand its artificial intelligence infrastructure, Microsoft announced a $9.7 billion deal with data-center operator IREN that would give the tech giant long-term access to Nvidia’s next-generation AI chips. The agreement underscores how deeply the AI race has become defined by access to high-performance computing power.

That investment will also translate into a five-year partnership that lets Microsoft significantly ramp up its cloud computing and AI without having to immediately build new data centers or secure additional power—two of the biggest bottlenecks constraining Microsoft’s AI expansion today.

IREN Shares Spike Following Microsoft Partnership

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Following that announcement, IREN’s stock soared as much as 24.7% to a record high before finishing nearly 10% higher by Monday’s close. The news also gave a modest lift to Dell Technologies, which will be supplying AI servers and Nvidia-powered equipment to IREN as part of the collaboration.

The deal includes a $5.8 billion equipment agreement with Dell, part of which involves IREN providing Microsoft with access to systems equipped with the advanced Nvidia chips known as the GB300.

Strengthening Microsoft’s AI Muscle

The move highlights the increasing competition between tech giants like Amazon, Google, and Meta in securing computing capacity that powers generative AI tools such as ChatGPT and Copilot among other machine-learning models.

Microsoft has invested heavily in OpenAI amid mounting infrastructure constraints, as demand for AI-powered services explodes across its cloud ecosystem. Earnings reports from major tech firms last week showed that a limited supply of chips and data-center capacity remains the cap on how much the industry can capitalize fully on the boom in AI.

In return, IREN gets an immediate infrastructure boost by partnering with Microsoft without the high upfront costs associated with building new hyperscale data centers. That is also a way to stay agile as the generations are coming fast from Nvidia.

“This deal is a strategic move by Microsoft to expand capacity while maintaining its AI leadership without taking on the depreciation risks tied to fast-evolving chip hardware,” said Daniel Ives, managing director at Wedbush Securities.

IREN’s Huge Expansion Plans

IREN, whose market value has risen more than sixfold in 2025 to $16.5 billion, operates several large-scale data centers across North America, with a combined total of 2,910 megawatts.

Under the new deal, the company will deploy Nvidia’s processors in phases through 2026 at its 750-megawatt Childress, Texas campus, where it is building liquid-cooled data centers designed to deliver approximately 200 megawatts of critical IT capacity.

The prepayment by Microsoft would finance IREN’s payment for Dell equipment valued at $5.8 billion. However, the deal comes with strict performance clauses that allow Microsoft to revoke the contract if delivery timelines are not met by IREN.

Rising “Neocloud” Powerhouses

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The deal also speaks to the emergence of “neocloud” providers like CoreWeave, Nebius Group, and IREN — companies that specialize in selling Nvidia GPU-powered cloud computing infrastructure. These firms have become key partners for Big Tech companies trying to scale AI operations faster than traditional data-center timelines allow.

Earlier this year, Microsoft inked a $17.4 billion deal with Nebius Group, a similar provider, for cloud infrastructure capacity. Taken together, the moves mark Microsoft’s multi-pronged strategy to secure AI infrastructure from multiple partners amid global shortages of Nvidia hardware.

A Broader AI Infrastructure Push

On the same day, AI infrastructure startup Lambda revealed a multi-billion-dollar deal with Microsoft to deploy more GPU-powered cloud infrastructure using Nvidia’s latest hardware.

To the industry analysts, these rapid investments are part of a larger race to lock in supply chains for a resource now viewed as critical as oil in the digital economy: AI computing.

“We’re seeing the dawn of a whole new AI infrastructure ecosystem,” said Sarah McKinney, an AI market strategist. “Microsoft’s deals with IREN and Nebius show that the company is securing every possible avenue to power the next wave of AI applications.”

The Growing Infrastructure Challenge of AI

High demand for AI, meanwhile, has put incredible pressure on computing resources globally. As companies scramble to find GPUs and data-center capacity, the cost of AI infrastructure has soared.

The partnership with existing operators like IREN ultimately gives Microsoft flexibility to meet surging workloads with a minimum of capital expenditure and supply chain delays. This approach allows it to further diversify its geographic footprint, reducing risks associated with power constraints or regulatory hurdles in any single region.

With this agreement, Microsoft forges its status as one of the leaders in the world’s artificial intelligence ecosystem and positions its Azure cloud as a backbone for next-generation AI applications. For IREN, the partnership represents a turning point in its transformation from a low-profile data center provider to an important player in the infrastructure powering the AI revolution. As the world’s demand for AI accelerates, one thing is clear: the race for computing power is just getting underway, and partnerships like Microsoft’s $9.7 billion IREN deal will likely define who leads in the next decade of artificial intelligence.

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OpenAI has formally replied to a wrongful-death lawsuit filed by the family of 16-year-old Adam Raine, contending that the tragedy was due to what it called the teen’s “misuse” and “unauthorized use” of ChatGPT – and not from the chatbot’s design or behavior.

The legal response, first reported by NBC News, marks the company’s first detailed rebuttal since the lawsuit was filed in August in California Superior Court. The case has drawn nationwide attention because it centers on a difficult and deeply emotional question: What responsibility do AI developers have when their products are used in sensitive or dangerous ways by minors?

OpenAI Cites Terms of Use and Section 230 Protections

In its court filing, OpenAI said Raine’s death was the result of actions outside the intended scope of the platform, pointing to several violations of its terms of use. Those terms restrict access by minors without parental consent and prohibit using the system for discussions involving self-harm.

The company also invoked Section 230 of the Communications Decency Act, a long-standing legal shield that limits liability for online platforms when it comes to user interactions and user-generated content. OpenAI argued that the family’s claims are barred under that federal protection.

Company: ChatGPT Kept Telling Him to Get Help

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According to reporting from NBC News and Bloomberg, OpenAI told the court that ChatGPT repeatedly encouraged Raine to reach out to crisis-support resources, such as helplines, mental-health professionals, and trusted adults. The company said these reminders appeared more than 100 times throughout his months-long conversations.

“A full reading of his chat history shows that his death, while devastating, was not caused by ChatGPT,” said OpenAI, insisting that the AI system didn’t encourage dangerous actions and was never designed to provide support in high-risk emotional situations.

Family Says Responsibility Lies With OpenAI’s Product Design

The Raine family, on the contrary, believes that the teenager became increasingly dependent on the chatbot, which they argue evolved from a helpful academic tool to an emotional one, actually worsening his distress.

Their lawsuit alleges that “intentional design choices” at the time of the rollout of GPT-4o, one of OpenAI’s most advanced models, made for an environment that could mislead and manipulate vulnerable users. They also say the company failed to build appropriate safeguards to protect minors.

The complaint points out that GPT-4o’s release helped fuel OpenAI’s valuation jump from $86 billion to around $300 billion. It accuses the company of putting rapid product growth ahead of safety.

OpenAI Says Excerpts from Family Lack Context

In a Tuesday blog post, OpenAI addressed the public controversy for the first time since the lawsuit gained national headlines. The company said it would defend itself “with respect for the complexity and human impact” surrounding the case, noting that some excerpts in the family’s complaint were taken from longer messages that “require more context.”

The full transcripts were filed under seal with the court by OpenAI, meaning they are not publicly available.

New Safeguards Rolled Out After Lawsuit

The day after the lawsuit was filed, OpenAI announced the introduction of parental controls on its platform-a feature many safety experts had been urging for months. Since then, the company has rolled out additional safeguards aimed at helping protect teens when conversations get emotionally sensitive.

These changes include stronger detection of crisis-related language and more consistent redirection to appropriate help resources.

A Landmark Case for the AI Industry

The lawsuit comes at a time when regulators, lawmakers, and parents are increasingly concerned about how AI interacts with young users. With more teens turning to chatbots for help with everything from academics to companionship, experts say the case could set an important legal precedent about the responsibilities of AI developers. Both sides are preparing for what could be one of the first major court battles testing AI liability, youth safety and the limits of Section 230 in the age of advanced artificial intelligence.

The Trump administration has officially disbanded the Department of Government Efficiency-an experimental, Musk-backed federal cost-cutting initiative-months before its expected mandate was set to expire. The abrupt dissolution brings an end to one of Trump’s most controversial government reform projects.

According to a Reuters report published over the weekend, DOGE has effectively gone out of business-a demise many sources called the end of a high-profile effort led by billionaire entrepreneur Elon Musk and a team of advisers drawn largely from his private-sector companies that had set out to overhaul federal spending, eliminate what the administration called “rampant waste,” and cut the federal workforce.

A Short-Lived Experiment in Government “Efficiency”

Created through an executive order by former President Donald Trump back in January, the project was intended to run nearly two years, positioning Musk as the unofficial head of a sweeping attempt to reshape federal operations using Silicon Valley–style efficiency models.

However, by early November, the unit had already dissolved.

“DOGE doesn’t exist,” Scott Kupor, director of the U.S. Office of Personnel Management, or OPM, which oversees federal hiring and HR policies, told staff Wednesday in a virtual meeting. His comments marked the end of a months-long effort that already had drawn intense criticism from lawmakers, federal unions and government watchdogs.

Kupor explained further on X that, although DOGE does not have any “centralized leadership” at the U.S. Digital Service anymore, the administration still adheres to its core principles of streamlining government processes, cutting unnecessary bureaucracy and reducing regulatory hurdles.

Internal Confusion and Public Denials

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The sudden collapse of DOGE sent shockwaves within the federal workforce. Amy Gleason, named this year as the acting administrator of DOGE, took to Twitter in response to stories of the unit’s demise, posting a meme — an homage to the viral “Doge” dog — captioned “I’m alive,” which suggested internal communication regarding the unit’s status was fractured or unclear.

Despite these contradictions, sources say DOGE’s central operations have been inactive for weeks.

Claims of Billions Saved — But Critics Dispute the Math

During its short life, DOGE often boasted that its aggressive cuts had saved taxpayers “billions of dollars.” Those figures, though, were both unverified and inflated, lawmakers and policy experts say. Critics maintain the initiative caused much more harm than good by tearing down vital government services without proper impact analysis or measurable savings.

Perhaps the most controversial move attributed to DOGE was its association with shuttering the U.S. Agency for International Development, a major global humanitarian relief organization. That decision left millions around the world without access to crucial aid programs and international partners who blamed the decision for exacerbating global crises including famine and the spread of diseases.

Security Concerns and Data Risks

DOGE also faced accusations of egregious data security failures. During the course of its operations, staff were said to have accessed highly sensitive federal databases containing personal information on millions of Americans. A number of watchdog groups warned that the DOGE personnel-many of whom had minimal to zero government clearance-were a serious cybersecurity risk, exposing federal systems to foreign adversaries or internal misuse.

Musk’s Exit and Growing Legal Fears Among DOGE Staff

Elon Musk left the project this year amid a highly publicised falling-out with President Trump, which further destabilised leadership of DOGE.

Reports from Politico show that a number of former DOGE staffers are concerned about potential future criminal exposure. Apparently, without protection from Musk or the possibility of presidential pardons, some believe that they might be held responsible for things they did during the operation of DOGE.

Where DOGE Staffers Are Now

According to Reuters, several former DOGE employees have moved to other federal agencies while others have left government altogether. One of DOGE’s most recognizable staffers, Edward Coristine — who became a viral figure online under the nickname “Big Balls” — announced on X in June that he was “officially out” of DOGE. The long-term impact of DOGE’s brief overhaul has yet to be seen, but analysts say its explosion illuminates ongoing hurdles in combining private-sector disruption culture with the structure and protections needed at the federal level of government.

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