As artificial intelligence becomes increasingly central to business and society, Microsoft CEO Satya Nadella is cautioning against a future in which a small number of companies control the technology and determine how it develops.
Speaking to The Wall Street Journal, Nadella argued that AI’s trajectory should not be dictated by a handful of industry leaders, warning that the concentration of power raises broader questions around economic disruption, safety and access.
Although he did not mention specific rivals, his remarks come at a time when companies including OpenAI, Anthropic and Google are competing aggressively to build ever more capable AI systems and the massive infrastructure required to support them.
“You can’t say, hey, all white-collar jobs are gone, and this could even be a weapon, and we will use all the power to build data centres,” he said.
More from Tech From Google to Adobe: The Indian-origin CEOs and entrepreneurs driving Silicon Valley's AI era 'The emperor has no clothes': Expert says Big Tech's AI data centre race may backfire He followed the remark with a broader warning about concentration in the industry, adding, “You cannot hand the world’s curiosity to a handful of companies and call it progress.” The comments offer a glimpse into how Microsoft’s leader views the next phase of AI development, even as his company remains one of the biggest investors in the technology.
Nadella said AI should evolve in a way that allows businesses and users to exercise greater choice, rather than becoming dependent on a limited number of providers.
Quick Reads View All From iPhone 18 Pro to iPhone Fold: All the iPhones Apple could launch in 2026 China's push for green power use in AI projects faces hurdles He has increasingly advocated for an approach in which AI models become more like commodities, enabling organisations to select systems based on performance and cost rather than being locked into one ecosystem.
That philosophy is beginning to show up in Microsoft’s own products.
The company has recently introduced lower-cost AI models aimed at reducing computing expenses and has expanded capabilities within Copilot, allowing users to switch between different underlying models.
