Microsoft Invests $80B in Cloud and AI Infrastructure Expansion In Q1 2025, Microsoft stunned markets with the announcement of an $80 billion capital expenditure (CapEx) plan for the fiscal year—its largest annual investment ever The lion’s share is earmarked for cloud infrastructure, AI supercomputing, and data center expansion across key global markets
In fiscal year 2025, Microsoft plans to invest $80 billion in data centers powered by . . . Analysts, using data from Visible Alpha, estimate the company’s total capital expenditure, including capital leases, to reach $84 24 billion in fiscal 2025 The tech giant’s investment is part of a larger movement among technology firms to address the increasing computational demands of AI
Microsofts 2025 CapEx plan highlights data center demands Microsoft's ambitious plan to allocate $80 billion in fiscal 2025 toward the development of AI-enabled data centers underscores its commitment to solidifying its leadership in artificial intelligence
Microsoft plans to pour $80B into cloud data centers Microsoft expects to spend roughly $80 billion on AI-enabled data centers to train large language models and deploy AI and cloud-based applications during its current fiscal year, the company’s Vice Chair and President Brad Smith said in a Friday blog post
Microsoft announces $80 billion AI data centre investment Microsoft has announced plans to invest around $80 billion bolstering its data centre capacity for training AI models and deploying AI and cloud-based applications in fiscal year 2025
Microsofts $80B AI Investment - Data Centers for 2025 In Q1 of fiscal 2025, Microsoft reported $20 billion in capital spending, with $14 9 billion allocated for property and equipment Capital expenditures are expected to rise in the
Powering AI dreams: Microsoft bets $80 billion on data centre revolution Microsoft has announced plans to allocate approximately $80 billion in the financial year 2025 towards expanding data centres to support the development of artificial intelligence (AI) models and the deployment of AI and cloud-based applications, according to a recent blog post