Simulated Macroeconomic Impact of Artificial Intelligence and Cybersecurity in the Andean-Amazonian and Mesoamerican Bioeconomy

Abstract

The convergence of structural biodiversity and information technologies demands a transdisciplinary paradigm to overcome linear extractivism. This article proposes and validates through in silico simulation the Andean-Amazonian and Mesoamerican Bioeconomy model, grounded in the Jach'a Qh'anax worldview, integrating artificial intelligence (AI), cloud computing, distributed systems, the Internet of Things (IoT), and preventative cybersecurity. A quantitative methodological design based on spatial econometrics, Generalized Moment Estimators (GMMs), and simulation in the R programming language evaluates the technological impact on biocultural resilience in a panel of three Latin American nations. The results confirm that ecosystem digitization, implemented through predictive tools such as the climate calculator, the global biosensor, and the digital agronomist, shifts the bioeconomic frontier, mitigating extreme climate disturbances. Evidence demonstrates that biocultural savings act as a catalyst for endogenous technological change, overcoming neoclassical thermodynamic limits and maximizing regional metabolic efficiency. It is concluded that the adoption of decentralized and cybersecure algorithmic architectures guarantees genetic sovereignty, transforming vulnerable productive landscapes into smart bio territories capable of leading the global transition toward an unwavering economy of life