Microsoft plans on investing $80,000,000,000 in AI this year, with no sign of the machine learning spending spree stalling just yet
Nobody would deny that big tech requires huge investments to kickstart them and keep the ball rolling, but at some point, multi-billion dollar expenditures require some kind of return before they become a lost cause. In the case of Microsoft and AI, that's not something being considered, as the software giant plans on spending $80 billion dollars on machine learning technology this year.
Microsoft casually dropped the monstrously huge sum of money in a long-winded blog by Brad Smith, Vice Chair & President of Microsoft, titled 'The Golden Opportunity for American AI' (via The Register). It starts by making it clear that AI is very much the number one focus right now, and that advances in AI technology and infrastructure need to continue. Microsoft also wants to promote training programs to get more people working in the field and it also wants America, as a whole, to export its AI systems to «allies and friends.»
To ensure all this happens, «Microsoft is on track to invest approximately $80 billion to build out AI-enabled datacenters to train AI models and deploy AI and cloud-based applications around the world.»
That kind of money makes the $10 billion it invested in OpenAI, back in 2023, seem like chump change. It's equivalent to almost all of Microsoft's net income in 2024. I know ridiculously large sums of money and AI just seem to be the norm these days, but $80 billion really is bonkers.
No company would spend that kind of money, though, if it didn't have a clear plan on how to recoup the investment and make a decent return from it. So what can we expect to see from Microsoft in this regard?
In its most recent financial statement, CEO Satya Nadella notes that "[our] growth depends on securely delivering continuous innovation and advancing our leading productivity and collaboration tools and services, including Microsoft 365, LinkedIn, and Dynamics 365" and that «digital transformation and adoption of AI continues to revolutionize more business workstreams for
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