Gobernanza de la IA como infraestructura económica: riesgos sistémicos, intermediación institucional y confianza en los mercados

AI governance as economic infrastructure: systemic risks, institutional intermediation and market trust

Angel Varela, Juan Cortez and Alejandro Colmenares

MPRA Paper from University Library of Munich, Germany

Abstract: This article, developed by the Colombian Association of Artificial Intelligence (ACIA), analyzes artificial intelligence (AI) governance as an emerging form of economic infrastructure capable of transforming markets, institutions, and decision-making processes. Although AI enables the automation of complex tasks and can generate significant efficiency gains, its adoption continues to face technical, institutional, and regulatory challenges. The study examines how AI is reshaping public administration, financial markets, and business organization through the progressive transfer of decision-making capabilities to algorithmic systems. To this end, it reviews international governance frameworks, including the OECD AI Principles and the NIST AI Risk Management Framework, assessing their limitations in relation to complex economic environments and the Colombian context. Financial markets are used as a case study to analyze the benefits, risks, and dynamics of institutional adoption associated with AI, including phenomena such as strategic mimicry and inefficiencies arising from the fear of technological obsolescence. The analysis of the Colombian case, including CONPES 4144, suggests that AI adoption in critical sectors requires effective governance capabilities, such as algorithmic auditing, traceability, and interoperability. The article concludes that trust in markets and technological sovereignty will depend on institutional capacity to supervise and respond to increasingly autonomous algorithmic systems.

Keywords: AI Gobernance; AI Development; Finanace; Systems Information; Economic Development; Economic Infrastructure. (search for similar items in EconPapers)
JEL-codes: O32 O33 O38 (search for similar items in EconPapers)
Date: 2026-06-17, Revised 2026-09-12
References: Add references at CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/131077/1/MPRA_paper_131077.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:131077

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().