14 September,2026 11:34 AM IST | Mumbai | mid-day online correspondent
Microsoft Chairman and CEO Satya Nadella. File Picture
Microsoft Chairman and Chief Executive Officer Satya Nadella has called for a measured approach in the race to artificial intelligence (AI) stating that the pursuit of superintelligence needs to be in control of humans and that serves to enhance humanity.
"Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing," Nadella said on social media platform X.
His remarks come at a time when Anthropic AI researcher Jacob Coxon had resigned last week alleging leading technology firms were acting irresponsibly in an unchecked race toward developing superintelligence and gambling with human lives.
However, Nadella still believes there is merit to AI and said "We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive".
He however pointed out that the tech firms should retain full control over their unique and tacit knowledge and should build continuous learning loop or hill climbing machine without becoming dependent on a single AI provider. He added that a firm should have the ability to embed its own knowledge into models and weights they control.
"So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this more than just talk," he said.
Nadella pointed out that the development of AI should not be limited to a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia.
"This is the approach we (Microsoft) are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the "Code of Conduct" that underlies our own first party MAI models that we'll publish tomorrow for public consultation," he said.
