• Nov 7, 2025

IREN (originally Iris Energy), co-founded by former Macquarie Group bankers Daniel Roberts (41) and Will Roberts (35), experienced a dramatic turnaround after a near-collapse following the 2022 Bitcoin market crash.

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  • Nov 4, 2025

OpenAI has agreed to a $38 billion capacity purchase from Amazon Web Services (AWS), signaling a significant expansion of its cloud infrastructure beyond its primary partner, Microsoft.

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  • Sep 10, 2025

Crypto mining stocks experienced a significant surge following an announcement that Nebius Group will supply Microsoft with $17.4 billion worth of GPUs over a five-year period.

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  • Dec 11, 2024

A proposal to invest a portion of Microsoft's treasury in Bitcoin was soundly rejected by shareholders at the company's recent annual meeting.

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  • Dec 5, 2024

​Michael Saylor, the renowned Bitcoin advocate and CEO of MicroStrategy, has been spotted engaging in discussions with Microsoft.

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  • Dec 2, 2024

MicroStrategy CEO and renowned Bitcoin advocate, Michael Saylor, recently made a bold pitch to Microsoft's board of directors.

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  • Nov 20, 2024

The Central Bank of Brazil (BCB) has embarked on a groundbreaking partnership with Chainlink, Microsoft, Banco Inter, and 7COMm to develop its new Central Bank Digital Currency (CBDC), DREX.

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  • Nov 20, 2024

Michael Saylor, the Chairman of MicroStrategy and a well-known Bitcoin advocate, has confirmed that he will deliver a three-minute presentation to the board of directors at Microsoft regarding the potential benefits of investing in Bitcoin.

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  • Oct 25, 2024

Microsoft's upcoming shareholder meeting on December 10 is poised to be a pivotal moment for the tech giant, as a proposal to invest in Bitcoin has emerged as a key voting item.

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  • May 2, 2024

Microsoft has revealed plans to extend its cloud and artificial intelligence (AI) services in Malaysia with a $2.2 billion investment spread over four years.

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  • Apr 25, 2024

Microsoft stated today that Phi-3, the third member of its Phi family of Small Language Models (SLMs), is "the most capable and cost-effective small language models (SLMs) available," outperforming some larger and comparable sized models.

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