Protecting the Dominant Path: Architecture, Economic Convexity, and Strategic IP Positioning

This strategic white paper develops the argument that, in architecture-heavy and deep tech technology domains, the conventional design-around question — "can the protected outcome be reached by some alternative route?" — typically reflects a misunderstanding of how foundational IP works rather than a meaningful analysis. Outside narrow physical impossibility, alternative arrangements can be constructed for nearly any outcome. The strategically decisive question is not whether they can be constructed, but how much worse they are once their full coordination cost is accounted for. The paper introduces the concept of "economic convexity" as a diagnostic signature of deep tech: the deeper an architectural intervention reaches into the stack of dependencies surrounding it, the more layers respond to deviation, and the more steeply substitution cost rises. Shallow technology produces approximately linear substitution costs; deep technology produces convex ones. The status quo of many large enterprise and infrastructure technology landscapes is reframed in this light not as a counter-example, but as the longest-running illustration of the cost of operating without a structurally coherent direction — a historically tolerated workaround architecture whose persistence documents the missing foundation rather than refuting it. The paper situates this thesis within a coordinated publication stack covering the patent family on functional data structures for integration and coordinated structural change (WO2021209336A1 / EP3896579A1 and international equivalents), the Dynamic Structure Systems framing, the bubbleCalc disclosure on dependency-driven computation, and the Neuroplastic AI disclosure on topology-adaptive learning systems. Together, these materials describe a deep tech architectural direction in which protected mechanisms produce disproportionate commercial leverage through the convex cost gradient they impose on alternative arrangements. This document is a public technical disclosure and strategic position paper. It is not a legal opinion. Questions of patent claim scope are governed by the granted or pending claims and the applicable legal framework, not by descriptive language in this paper.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-25
DOI
https://doi.org/10.5281/zenodo.19757417
Primary Topic
Digital Platforms and Economics
Type
article
Field-Weighted Citation Impact
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article

Protecting the Dominant Path: Architecture, Economic Convexity, and Strategic IP Positioning

Thomas Glueck
Zenodo (CERN European Organization for Nuclear Research)
Digital Platforms and Economics
article

Protecting the Dominant Path: Architecture, Economic Convexity, and Strategic IP Positioning

Thomas Glueck
article en

Abstract

This strategic white paper develops the argument that, in architecture-heavy and deep tech technology domains, the conventional design-around question — "can the protected outcome be reached by some alternative route?" — typically reflects a misunderstanding of how foundational IP works rather than a meaningful analysis. Outside narrow physical impossibility, alternative arrangements can be constructed for nearly any outcome. The strategically decisive question is not whether they can be constructed, but how much worse they are once their full coordination cost is accounted for. The paper introduces the concept of "economic convexity" as a diagnostic signature of deep tech: the deeper an architectural intervention reaches into the stack of dependencies surrounding it, the more layers respond to deviation, and the more steeply substitution cost rises. Shallow technology produces approximately linear substitution costs; deep technology produces convex ones. The status quo of many large enterprise and infrastructure technology landscapes is reframed in this light not as a counter-example, but as the longest-running illustration of the cost of operating without a structurally coherent direction — a historically tolerated workaround architecture whose persistence documents the missing foundation rather than refuting it. The paper situates this thesis within a coordinated publication stack covering the patent family on functional data structures for integration and coordinated structural change (WO2021209336A1 / EP3896579A1 and international equivalents), the Dynamic Structure Systems framing, the bubbleCalc disclosure on dependency-driven computation, and the Neuroplastic AI disclosure on topology-adaptive learning systems. Together, these materials describe a deep tech architectural direction in which protected mechanisms produce disproportionate commercial leverage through the convex cost gradient they impose on alternative arrangements. This document is a public technical disclosure and strategic position paper. It is not a legal opinion. Questions of patent claim scope are governed by the granted or pending claims and the applicable legal framework, not by descriptive language in this paper.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Digital Platforms and Economics
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