Djouad, Djellal (2026): The China AI Disruption Thesis : Why the Sell-Side Is Six Months Late.
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Abstract
This paper presents a structural derivatives framework for the repricing of the US AI infrastructure buildout. We formalize a nine-element analytical framework - five operational vectors and four geopolitical fronts - that converges on a 25-40% re-rating of pure-play AI infrastructure equities by Q1 2027. The five vectors are: (1) token commoditization, documented by the DeepSeek V4 Pro permanent pricing at 1/29th of frontier US output pricing; (2) Chinese hardware cost parity, with Huawei Ascend 910C achieving a 2.0-2.3x cost-per-performance advantage over NVIDIA H200 on inference workloads; (3) the US power grid bottleneck, with PJM 2026/2027 capacity auction clearing at $329.17/MW-day; (4) China's parallel energy buildout, with 12-24 month project timelines versus 4-7 years in the US; and (5) the hyperscaler bond wall, with $230-240B forecast 2026 issuance. We construct three trade families - equity dispersion, credit expression, and cross-asset hedges - and present an eleven-catalyst falsification calendar with probability-weighted thresholds. Working paper adapted from: CrossVol Research (2026). The China AI Disruption Thesis: Why the Sell-Side Is Six Months Late. Amazon Kindle, ASIN: B0H11WH3R9. https://www.amazon.com/dp/B0H11WH3R9
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | The China AI Disruption Thesis : Why the Sell-Side Is Six Months Late |
| Language: | English |
| Keywords: | AI infrastructure, compute commoditization, DeepSeek, hyperscaler bond wall, PJM capacity auction, Chinese hardware parity, semiconductor dispersion, CDS basis, grid constraint, geopolitical risk premium |
| Subjects: | F - International Economics > F3 - International Finance F - International Economics > F6 - Economic Impacts of Globalization > F61 - Microeconomic Impacts F - International Economics > F6 - Economic Impacts of Globalization > F62 - Macroeconomic Impacts F - International Economics > F6 - Economic Impacts of Globalization > F65 - Finance G - Financial Economics > G1 - General Financial Markets > G10 - General G - Financial Economics > G1 - General Financial Markets > G13 - Contingent Pricing ; Futures Pricing G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets G - Financial Economics > G1 - General Financial Markets > G17 - Financial Forecasting and Simulation |
| Item ID: | 129363 |
| Depositing User: | Mr Djellal Djouad |
| Date Deposited: | 12 Jun 2026 14:55 |
| Last Modified: | 12 Jun 2026 14:55 |
| References: | Nordhaus, W. (2007). Two Centuries of Productivity Growth in Computing. Journal of Economic History, 67(1), 128-159. Thompson, N. et al. (2020). The Decline of Computers as a General Purpose Technology. MIT Sloan Research Paper. Merton, R. (1974). On the Pricing of Corporate Debt. Journal of Finance, 29(2), 449-470. Longstaff, F. & Schwartz, E. (1995). A Simple Approach to Valuing Risky Fixed and Floating Rate Debt. Journal of Finance, 50(3), 789-819. Carr, P. & Wu, L. (2009). Variance Risk Premiums. Review of Financial Studies, 22(3), 1311-1341. CrossVol Research (2026). The China AI Disruption Thesis: Why the Sell-Side Is Six Months Late. Amazon Kindle, ASIN: B0H11WH3R9. https://www.amazon.com/dp/B0H11WH3R9 |
| URI: | https://mpra.ub.uni-muenchen.de/id/eprint/129363 |

