OpenAI is reportedly struggling to secure nearly $18 billion in financing connected to its custom AI chip partnership with Broadcom, adding fresh uncertainty to the rapid expansion of the artificial intelligence sector.
According to reports published Thursday, the financing issue affects an early stage of OpenAI’s long-term accelerator deployment project, which involves building 10 gigawatts of OpenAI-designed AI chips. The initiative represents a major part of the company’s strategy to reduce its reliance on graphics processing units supplied by Nvidia.
OpenAI Pushes for Greater Chip Independence
The partnership between OpenAI and Broadcom was first announced in October 2025 as part of a broader hardware expansion plan valued at approximately $500 billion. The massive proposal includes spending across several infrastructure categories, including semiconductors, networking systems, energy resources, and data center construction.
At the center of the project is OpenAI’s ambition to develop its own custom AI accelerators capable of supporting large-scale model training and inference workloads. By creating proprietary hardware, the company hopes to lessen its dependence on Nvidia, whose chips currently dominate the global AI computing market.
However, the reported financing shortfall suggests that securing capital for these large-scale AI infrastructure programs is becoming increasingly difficult, even for leading companies in the sector.
AI Infrastructure Costs Continue to Surge
The latest development also highlights growing concerns about the pace of spending across the artificial intelligence industry. Analysts estimate that hyperscalers could spend between $600 billion and $720 billion on capital expenditures in 2026 alone, with roughly 75% of that amount expected to go toward AI-related infrastructure.
While enthusiasm for AI remains strong, lenders and investors are becoming more cautious about how quickly these projects can generate returns. Rising interest rates and growing uncertainty around long-term profitability are reportedly causing financing institutions to reevaluate their exposure to large AI infrastructure deals.
Several companies connected to OpenAI’s expansion efforts have already taken on substantial debt to support the buildout. Last year, Oracle reportedly issued $18 billion in bonds to help finance its estimated $300 billion commitment tied to OpenAI-related infrastructure projects.
Nvidia’s Financial Signals Draw Attention
The broader market is also watching developments at Nvidia closely. The chipmaker recently disclosed a significant increase in unpaid customer balances, with receivables approaching $33 billion as clients take longer to settle payments for AI hardware orders.
The situation has sparked debate among investors about whether AI demand is expanding faster than customers can realistically finance. Investor Michael Burry reportedly criticized aspects of the sector’s revenue accounting practices, raising additional concerns about the sustainability of the current AI investment cycle.
Online discussions surrounding OpenAI’s financing difficulties have further fueled speculation that some headline-grabbing AI agreements may be more fragile than initially presented.
What Happens Next for OpenAI?
OpenAI now appears to have several possible paths forward. The company could renegotiate the financing structure, seek alternative lenders, or scale back portions of the planned chip deployment.
Whichever option it chooses may have broader implications for the AI industry, particularly as companies race to secure computing power while balancing increasingly heavy infrastructure costs.
Despite the concerns surrounding OpenAI’s financing challenges, the market reaction among related crypto assets remained relatively muted. According to data from CoinGecko, Worldcoin (WLD) recorded only a modest decline, falling to around $0.2526 following the news.
