Meta Platforms and OpenAI differ fundamentally in their financial models and sustainability when it comes to AI infrastructure. Meta, backed by massive advertising revenue from Facebook, Instagram, WhatsApp, and Threads, can self-fund its AI ambitions. In 2025, Meta plans to spend around $72 billion on AI infrastructure and platform upkeep—part of a projected $504 billion capital expenditure over seven years. This level of spending is supported by its anticipated $440 billion in 2031 revenue and $2.1 trillion in total revenue over that period. Even with uncertain growth, Meta’s revenue stream gives it a significant edge in funding AI development without relying on external financing. OpenAI, by contrast, remains heavily dependent on external capital. It has no direct revenue stream from ads or subscriptions and continues to burn through cash faster than it generates income. To sustain its AI ambitions, OpenAI relies on partnerships with infrastructure providers like CoreWeave and Crusoe. In May 2025, OpenAI expanded its deal with CoreWeave by $6.5 billion, bringing the total contract value to $22.4 billion through 2031. This massive commitment reflects OpenAI’s reliance on debt and third-party financing to power its AI training, particularly as it builds out its Stargate I datacenter campus in Abilene, Texas, with Crusoe. Stargate I, the first phase of which is now operational, will house up to 400,000 GPUs across eight buildings, drawing 1.2 gigawatts of power. The initial datacenters use Nvidia’s GB200 NVL72 systems—based on the Grace Arm CPU and Blackwell B200 GPUs—delivering around 11.52 exaflops of FP4 compute. Future phases may use more powerful GB300 NVL72 systems with Blackwell Ultra GPUs, which offer 50% more performance but higher power consumption. These systems are part of a broader strategy to scale AI training capacity rapidly. CoreWeave, a former cryptocurrency miner turned AI infrastructure provider, has become a key enabler for both Meta and OpenAI. Its $14.2 billion deal with Meta, announced alongside the $22.4 billion OpenAI agreement, underscores its growing role in the AI supply chain. The company’s stock surged over 13% on the news. CoreWeave’s business model revolves around building and leasing GPU-heavy data centers, and it now plays a critical role in supporting the compute demands of major AI players. Oracle is also deeply involved, supplying the hardware and cloud infrastructure for Stargate I. Oracle’s role includes providing compute, networking, and storage, and it may even be financing some of the buildout. Oracle, already carrying $91.3 billion in debt and $14.1 billion in lease obligations, is raising more capital—$18 billion recently—to support these projects. The financial sustainability of these partnerships remains uncertain, especially given the high costs and margins involved. While OpenAI and its partners depend on debt and venture funding to scale, Meta’s ability to reinvest advertising profits into AI gives it a long-term advantage. As AI development accelerates, the financial divide between companies with self-sustaining revenue models and those reliant on external financing could define the future of the industry. Meta’s ability to fund its “superclusters,” like the Hyperion facility expected to cover a large part of Manhattan’s footprint, highlights its unmatched financial muscle. OpenAI, despite its technical ambition, remains vulnerable to funding shifts and market conditions.