Microsoft’s AI Chief, Mustafa Suleyman, has outlined a bold vision for the company’s artificial intelligence roadmap, stressing the importance of becoming fully self-sufficient in developing frontier AI systems. Speaking with Business Insider, Suleyman said Microsoft needs to independently train models using its own compute and data infrastructure.
This statement marks the first time a Microsoft executive has described the company’s AI approach as “self-sufficient,” reflecting a shift in strategy following its renewed agreement with OpenAI. Earlier contracts limited Microsoft’s ability to build its own AGI, but the updated deal now allows broader autonomy and collaboration with other AI leaders.
Suleyman, who also leads Microsoft’s Superintelligence team, said the company aims to build advanced AI models internally, leveraging its massive data, distribution network, and product ecosystem. “We have $300 billion in revenue and a huge responsibility to make every Microsoft product AI-first,” he said, adding that the company is determined to embed intelligent agents across its platforms.
Under Suleyman’s leadership, Microsoft has started developing in-house large language models, partnered with firms like Anthropic for Copilot integration, and launched initiatives to create next-generation AI research clusters. The broader goal is clear — to control its AI stack end-to-end and reduce dependency on external providers.
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