(SeaPRwire) – By: Ethan Gallagher
Nvidia’s decision to slash its OpenAI data center guarantee isn’t just a number tweak—it’s a sign the AI infrastructure bubble is starting to deflate. Investors are no longer buying the hype of endless growth without profit. This move reveals the quiet panic behind the scenes of the AI gold rush.
The official facts are straightforward. Nvidia cut its planned financial guarantee from $250 billion to under $120 billion. The revised amount covers only the first 5 gigawatts of the 10-gigawatt Ohio project. The Ohio project is a 10-gigawatt data center developed by SB Energy, a SoftBank subsidiary, and would be the largest ever if completed. A deal between Nvidia and OpenAI could be signed as early as this weekend, according to the Journal. The change came after investors raised concerns about Nvidia’s risk exposure. Now the subtext: OpenAI’s $852 billion valuation masks a critical flaw—it’s unprofitable. No investor wants to tie their company’s balance sheet to a project that relies on a firm with no clear path to making money. Nvidia’s shareholders saw this risk and forced a retreat.
The second half of the story adds more layers. Nvidia launched compute financing platforms this week with six major financial institutions. The goal is to raise over $500 billion in third-party capital for AI infrastructure. The official line is this helps other companies fund their AI projects. But the real reason is simpler: Nvidia wants to shift risk away from itself. The Ohio project fits into this strategy. OpenAI is still negotiating a full lease for the 10-gigawatt site, but Nvidia won’t back the entire project. It’s letting third-party investors take the hit if OpenAI can’t deliver.
AI’s next big bottleneck won’t be chips—it’ll be capital. The supply chain for AI infrastructure will soon be defined by who can convince investors to fund projects that take years to turn a profit.
Author bio: Ethan Gallagher, a Silicon Valley Hardware Architect and Infrastructure Strategist specializing in AI data center scaling and capital risk assessment.