Compute-for-Equity
Equity-priced cloud commitment in exchange for capacity
A hyperscaler invests in an AI lab where the consideration is a commitment of compute credits rather than cash, and the AI lab grants the hyperscaler an equity or revenue-share position in exchange. The Microsoft-OpenAI 2019/2023 structure is the prototype: Microsoft committed up to USD 10B largely in Azure compute, OpenAI granted Microsoft preferred access plus a profit-sharing position capped at a return multiple. Sub-variants include all-compute consideration (no cash leg), mixed cash+compute, and synthetic compute-for-equity where the hyperscaler provides cash and the AI lab is contractually committed to spend it on the hyperscaler's compute.
Hypothetical, illustrative. Not actual deal terms. Practitioners should not use these clauses verbatim; they illustrate structure and what to negotiate.
The intuitive moves that alliance research has documented as predictably failing for this pattern. Each one comes with a mitigation that addresses the underlying mechanism, not just the symptom.
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No partnerships tagged with this pattern yet. As the corpus matures, public-source partnerships that exhibit this pattern's structural moves will appear here, each scored on which kill-list moves are visible in their public terms.
Litigation and regulatory actions a thoughtful counsel reasons against when negotiating a deal in this structural shape. Cited for orientation, not for legal advice.
The primary-source research this pattern is grounded in.