Broadcom Backs Up to $29 Billion of Anthropic's Chip Financing

By Carlos Montiel | Enterprise AI Specialist
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Published: 2026-10-03 | By: Carlos Montiel | Reading time: ~5 minutes

The party footing the bill for the big AI labs' compute is no longer just the lab itself: Broadcom, together with Apollo and Blackstone, has built a scheme in which the chipmaker guarantees up to $29 billion of debt so that Anthropic can lease Google-designed chips.

How the scheme works

In June 2026, Broadcom, Apollo, and Blackstone launched an AI infrastructure financing platform. Its first tranche, $35 billion, is earmarked for Anthropic and aims to unlock more than one additional gigawatt of compute capacity. A financial vehicle buys the chips designed by Google (manufactured with Broadcom) and leases them to Anthropic, so the debt sits in that vehicle rather than on the company's balance sheet.

What's new is the scale of the risk the chipmaker is taking on. According to what Broadcom disclosed in its quarterly filings, the maximum potential liability of its backing is around $29 billion once all planned systems are deployed. It is a guarantee on the debt: it would be triggered if the customer defaulted on its lease payments and the value of the hardware didn't cover the losses.

Platform ................... Broadcom + Apollo + Blackstone (Jun 2026) First tranche .............. $35 billion, for Anthropic Target capacity ............ more than 1 additional gigawatt Broadcom guarantee ......... up to ~$29 billion (maximum potential) Type of backing ............ guarantee on the chip-lease debt

Why circular financing matters

The pattern keeps repeating across the industry: the chip or cloud supplier finances, guarantees, or invests in the customer who then buys from that same supplier. As long as the lab's revenue keeps growing, the arrangement holds; if it doesn't, the risk concentrates in a handful of balance sheets. This news comes on top of the IPO Anthropic is preparing (we covered its road to Nasdaq), which will force greater transparency about how these leases are accounted for.

Rigor: the guarantee is a potential maximum, not a realized loss or a payment already made. Nothing in the sources we reviewed shows Anthropic in default; the point is how much risk is accumulating in the system.

What it means for your company

For anyone buying AI: the cost of the compute behind the APIs depends on large, intertwined financial structures. That's no reason to stop using these models, but it is a reason not to depend on a single provider. Practical recommendations: (1) design your applications with an abstraction layer that lets you swap models or providers; (2) avoid multi-year spending commitments with a single lab unless they include exit clauses; (3) include financial strength and infrastructure concentration in your vendor evaluation; (4) keep a tested plan B with another model. For a multi-provider architecture review, write to info@guatemalia.com.
Carlos Montiel
Enterprise AI Solutions Architect
Specialist in LLMs, Agents, and Orchestration
guatemalia.com/#contacto · info@guatemalia.com

Need to implement AI in your company?

Carlos Montiel is an enterprise AI solutions architect. He implements LLMs, Agents, RAG, and orchestrators for companies across Guatemala and Latin America. Reach out for a consultation.

Contact Carlos Montiel

info@guatemalia.com