SpaceX's artificial intelligence division held discussions with Microsoft over the summer about leasing computing capacity, according to sources. The move marks SpaceX's pivot toward the emerging 'neocloud' business model, despite initial hesitation from CEO Elon Musk.
The talks between SpaceX's AI unit and Microsoft represent a strategic shift in how the aerospace company plans to monetize its infrastructure and technical capabilities. Computing capacity has become increasingly valuable as demand for AI services surges across the tech industry.
The exact terms and status of negotiations remain unclear. SpaceX has been expanding its AI capabilities in recent years, positioning itself to compete in the broader cloud computing market dominated by Amazon Web Services, Google Cloud, and Microsoft Azure.
Musk has historically expressed skepticism about cloud services and external business ventures, preferring SpaceX focus on its core mission of space transportation and satellite internet through Starlink. However, the company appears to be reconsidering that stance as the financial potential of AI infrastructure becomes more apparent.
The neocloud sector refers to next-generation cloud infrastructure designed specifically for AI workloads and applications, distinguishing it from traditional cloud services.
Paramount and Warner Bros. Discovery will operate under the Skydance name following their $110 billion merger, expected to close October 6. CEO David Ellison announced the rebrand on social media.
African nations are rapidly adopting AI from the US and China while concerns mount over safety standards and regulatory oversight. The continent seeks greater input in determining how AI risks are assessed and managed globally.
Home Assistant is renaming its cloud service to Home Assistant Link and removing cloud imagery from its logo, citing dissatisfaction with how major tech companies have commercialized cloud infrastructure.
International graduate students from China and India—who make up the majority of foreign STEM talent in the US—are increasingly returning home, shifting the global AI talent balance.