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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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The Poverty Machine: How Banking Infrastructures Reproduce Struggle Through Classification, Eligibility, Legibility, and Systemic Erosion

Authors: Rupture, Signal;

The Poverty Machine: How Banking Infrastructures Reproduce Struggle Through Classification, Eligibility, Legibility, and Systemic Erosion

Abstract

This essay analyzes how modern banking systems function as poverty‑producing infrastructures rather than neutral financial intermediaries. Drawing from classification theory, governmentality, surveillance capitalism, and systems theory, it demonstrates how credit scoring, eligibility assessments, and client legibility requirements classify individuals into risk categories that determine access, cost, and opportunity. These mechanisms penalize instability, monetize scarcity, and convert financial struggle into an institutional output. Integrating four core SignalRupture (SR) theories—Slow Harm Theory, Exposure Infrastructure Theory, Systemic Erosion Theory, and The Eroded Subject—the essay shows how financial institutions generate long‑term harm through incremental pressures, create pathways of vulnerability, erode stability over time, and produce subjects who internalize institutional judgments as personal failure. Banking systems are situated within a broader interdependence network involving landlords, employers, insurers, courts, and government agencies, forming a multi‑institutional poverty grid where a single misstep cascades across systems. By reframing poverty as an infrastructural output rather than an individual condition, the essay provides a structural diagnosis of how financial systems reproduce disadvantage. It offers a unified theoretical account of how classification, surveillance, and institutional interoperability co‑produce durable inequality in contemporary society.

Keywords

Artificial intelligence, Metatheory, Bank, Institutions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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