Microsoft CEO says AI needs to have a wider impact or else it risks quickly losing ‘social permission’ — also says that the technology should benefit more peopl

Microsoft CEO says AI needs to have a wider impact or else it risks quickly losing ‘social permission’ — also says that the technology should benefit more peopl

Satya Nadella talked about how AI should benefit people and how it can avoid a bubble.

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(Image credit: Fabrice Coffrini/Getty Images) Share Share by: Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Email Share this article Join the conversation Follow us Add us as a preferred source on Google Microsoft CEO Satya Nadella said in an interview during the 2026 World Economic Forum annual meeting that artificial intelligence needs to have a wider impact or else it risks losing “social permission,” especially given the amount of energy and other resources that AI data centers consume. Nadella made this comment during his talk with Laurance D. Fink, CEO and chairperson of BlackRock, the largest asset manager in the world, that has been shared on YouTube . The two company heads were talking about AI diffusion, with Fink asking, “Can you describe how this process of diffusion across economies, across companies, across people, and countries? How does that play out?”

“The zeitgeist is a little bit about the admiration for AI in its abstract form or as technology. But I think we, as a global community, have to get to a point where we are using it to do something that changes the outcomes of people and communities and countries and industries,” Nadella said. “Otherwise, I don’t think this makes much sense, right? In fact, I would say we will quickly lose even the social permission to actually take something like energy, which is a scarce resource, and use it to generate these tokens, if these tokens are not improving health outcomes, education outcomes, public sector efficiency, private sector competitiveness across all sectors, small and large. And that, to me, is ultimately the goal.”

Watch On The rush to build AI infrastructure is putting a strain on many different resources. For example, we’re in the middle of a memory chip shortage because of the massive demand for HBM that AI GPUs require. It’s estimated that data centers will consume 70% of memory chips made this year, with the shortage going beyond RAM modules and SSDs and starting to affect other components and products like GPUs and smartphones.

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Key considerations

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