Microsoft Keeps Pouring Capital Into Ai Ventures

Last updated: June 8, 2025, 21:42

Microsoft Keeps Pouring Capital Into Ai Ventures

So far this year

So far this year, out of the handful of tech titans putting big money in the space, Microsoft and Nvidiaalong with their respective venture armsare among the

Microsoft is set to invest $80 billion in fiscal 2025 to expand its AI datacenter capabilities, Brad Smith, the company's president and vice chairman wrote in a blog post.

Microsoft surprises analysts with massive $80B AI investment plans

According to Bernstein analyst Mark

Microsoft plans $80 billion AI infrastructure investment in 2025

According to Bernstein analyst Mark Moerdler, Microsoft’s push into artificial intelligence could propel the company as the leading cloud-computing company, ahead of

AI in the Early-Stage Venture Ecosystem - microsoft.com

Microsoft

Microsoft’s $80B AI Bet for 2025 Shocks Analysts and Investors!

Microsoft Keeps Pouring Capital into AI-ventures - Watcher Guru

Microsoft’s global spending on AI infrastructure has been ramping up. In fiscal 2025, analysts project the company’s capital expenditures, including leases, to hit $84.24

Microsoft has committed to an

Microsoft's $80 Billion AI Investment: A Bold Move Shaping

Microsoft, Nvidia Lead In Investing In AI Startups, But Others Close

Microsoft has committed to an unprecedented $80 billion in fiscal year 2025 to build and expand AI-enabled data centers globally, positioning itself as a key driver of the AI

Microsoft

Big Tech outspends venture capital firms in AI investment frenzy

Microsoft’s announcement to invest $80 billion in AI-enabled data centers in fiscal 2025 isn’t just a corporate decision; it’s a defining moment for the entire technology

Microsoft, Google and Amazon last year struck a series of blockbuster deals, amounting to two-thirds of the $27bn raised by fledgling AI companies in 2025, according to

AI startup ecosystem is flush

AI startup ecosystem is flush with sufficient capital to pursue the development of new AI models or optimize extant models into much more actionable, scalable tools.