Private investment giants Apollo Global Management and Blackstone are reportedly in discussions to provide nearly US$35 billion in financing for chipmaker Broadcom, in what could become one of the largest private credit deals ever linked to the artificial intelligence industry. The financing is expected to support Broadcom’s rapidly growing AI chip business and large-scale infrastructure expansion plans.
According to reports, the funding would primarily help Broadcom accelerate the development and production of advanced AI chips used in next-generation data centres and enterprise AI systems. The company has become a major player in the AI hardware market through its custom silicon partnerships with leading technology firms, including Google and Anthropic. Analysts believe the increasing demand for AI computing power has significantly boosted Broadcom’s capital requirements.
Broadcom has been expanding aggressively in the AI sector over the past year, securing long-term agreements for custom tensor processing units and AI networking infrastructure. The company previously projected that its AI-related revenue could surpass US$100 billion by 2027, reflecting the enormous scale of global investments flowing into artificial intelligence infrastructure. The potential financing deal is expected to strengthen Broadcom’s ability to meet growing enterprise and cloud computing demand.
The discussions also highlight the growing role of private credit firms in financing large technology and AI projects. Traditionally, deals of this scale were dominated by banks and public markets, but the explosion of AI infrastructure spending has opened opportunities for private investment firms to fund chip manufacturing, data centres, and computing ecosystems. Industry observers say Apollo and Blackstone are increasingly positioning themselves as major financial backers of the AI economy.
Market analysts believe the proposed financing reflects the broader transformation underway across the global technology sector, where companies are racing to secure the computing capacity required for generative AI and large-scale machine learning systems. Demand for GPUs, AI accelerators, networking chips, and high-performance data infrastructure continues to rise rapidly as enterprises expand AI adoption. Experts say partnerships between technology firms and private capital providers could become increasingly common as AI infrastructure costs continue climbing worldwide.
