Stock Markets May 7, 2026 02:23 PM

Broadcom Stock Drops After Financing Hurdle Emerges in OpenAI Chip Deal

Talks over an $18 billion first production phase stall as Broadcom conditions financing on a Microsoft purchase commitment

By Priya Menon AVGO MSFT

Broadcom shares slipped after reports that the company’s proposed financing of the initial phase of chip production for OpenAI has run into a potential $18 billion funding hurdle. Negotiations reportedly hinge on a commitment from Microsoft to purchase a substantial portion of the chips, a step Broadcom says it needs to ensure repayment of its investment. The outcome could affect OpenAI’s plan to lower server costs by using its own chips and bears on broader AI infrastructure financing arrangements.

Broadcom Stock Drops After Financing Hurdle Emerges in OpenAI Chip Deal
AVGO MSFT

Key Points

  • Broadcom shares fell around 4% after reports that financing for the first phase of OpenAI’s chip production faces an $18 billion obstacle.
  • The initial production phase would use about 1.3 GW of data center capacity and cost roughly $18 billion, according to sources cited in the reporting.
  • Broadcom has reportedly conditioned financing on Microsoft agreeing to buy about 40% of the chips, which would be installed in Microsoft data centers and rented back to OpenAI.

Broadcom shares fell about 4% on Thursday afternoon after reports emerged that the semiconductor maker's planned financing for the first stage of chip production for OpenAI may be in jeopardy. The planned initial phase would require roughly 1.3 gigawatts of data center capacity and carry an estimated price tag of about $18 billion, according to reporting that cited an internal memo and two people involved in the discussions.

Sources familiar with the talks say negotiations have hit a snag because Broadcom has indicated it will only provide the financing for the first phase if Microsoft agrees to purchase roughly 40% of the chips. That condition was described in a memo circulated by an OpenAI executive to colleagues last month. Under the arrangement being discussed, Microsoft would install the purchased chips in its own data centers and then lease that capacity back to OpenAI.

Those involved in negotiations say a purchase commitment from Microsoft would give Broadcom greater assurance that it could recover the funds it would front for production. Conversely, if Microsoft elects not to acquire the roughly 40% stake in the chips, the financing parameters for the project would need to be revisited, the memo indicated.

Securing external financing for the chip program is particularly important for OpenAI given the scale of the company’s projected operational spending. The ChatGPT maker has forecast that its operations will consume more than $200 billion through 2029. Deploying proprietary chips is a central element of OpenAI’s strategy to reduce server expenses and to improve gross profit margins.

The negotiations involve several interlocking considerations: production scale and cost, data center capacity allocation, and how purchase or lease commitments from a hyperscaler partner would affect a third-party vendor’s confidence in financing such an investment. The current reporting describes the condition Broadcom has placed on its willingness to finance the first phase, and identifies Microsoft’s potential purchase decision as a pivotal variable in whether those financing terms hold.


Note: Reporting cited an internal memo and people involved in the talks for the details about the proposed financing arrangement and the condition tied to a Microsoft purchase commitment.

Risks

  • If Microsoft does not commit to purchasing roughly 40% of the chips, Broadcom may withdraw or alter its financing offer, creating uncertainty for the chip program - this affects the semiconductor and cloud infrastructure sectors.
  • Failure to secure the proposed financing could impede OpenAI’s plan to deploy its own chips, which OpenAI cites as central to reducing server costs and improving gross profit margins - this impacts AI compute economics and data center demand.
  • The financing impasse introduces uncertainty into large-scale capital allocation for AI infrastructure, with potential knock-on effects for vendors, hyperscalers, and firms involved in data center capacity planning.

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