Intelligence Over Consensus: A Capital Allocation Framework for the AI Infrastructure Era
A conceptual and evidence-led examination of capital allocation under AI-infrastructure expansion, distinguishing computational scale from scarce decision intelligence.
01 / Method
What the research does
The paper synthesizes public market, capital-expenditure and investment evidence through a Utility–Scarcity Matrix and a capital-allocation framework.
02 / Limitations
What the evidence does not establish
The framework is conceptual and interpretive. It does not constitute investment advice, a forecast or evidence that any named allocation will outperform.
03 / Institutional relevance
Why the research matters
Provides a structure for separating abundant infrastructure from scarce institutional reasoning when evaluating AI-era investment and capability decisions.
04 / Full Paper
Read the complete paper
The complete first-party paper is available here without leaving the publication page. The reader loads only when requested.
© Little Black Journal LLP / Umran Nayani. All rights reserved. This paper is made available for reading and personal reference. No additional reuse licence is granted unless expressly stated.
05 / Citation & Provenance
Source record
- Suggested citation
- Umran Nayani. (2026). Intelligence Over Consensus: A Capital Allocation Framework for the AI Infrastructure Era. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.6379939
- SSRN record
- SSRN 6379939
- Publication status
- Working paper published on SSRN. It is not described here as peer reviewed.
- First-party provenance
- Prepared from the verified public source record and the company’s bounded research archive. A first-party copy of the full paper is preserved on this site, with the SSRN record retained as independent publication provenance.
- Rights
- © Little Black Journal LLP / Umran Nayani. All rights reserved. This paper is made available for reading and personal reference. No additional reuse licence is granted unless expressly stated.
07 / Application
From research to institutional work
The paper is evidence of completed research, not a claim that every method has been deployed in every environment. Explore the relevant capability routes for current scope and commercial boundaries.