THIS was the whole point of Microsoft Builld

In this section, the host shares details from his conversation with Microsoft AI CEO Mustafa Suleyman. Microsoft made clear that its long-term technical goal is to reduce deep dependence on external AI providers like OpenAI and instead build its own in-house AI model capabilities. To establish technological leadership in artificial intelligence, Microsoft is working to develop foundational models from the ground up. This strategic shift reflects Microsoft's intent to become independent at the AI infrastructure layer — aiming for full autonomy on the AI frontier by owning the core technology stack, rather than simply acting as an integrator of external technology.

Microsoft places an extremely high premium on transparency and trust in AI, treating it as the platform's top priority. Unlike approaches that casually scrape public data, Microsoft takes a stringent compliance path — investing heavily in purchasing and carefully licensing training data. They explicitly noted that to avoid the security vulnerabilities and copyright risks that can lurk in open-source datasets, Microsoft conducts deep vetting of its data sources. This relentless pursuit of data hygiene is meant to deliver a core value proposition to enterprise users: Microsoft offers a development environment that is clean, transparent, fully controlled, and compliant — from model architecture down to the underlying training data.