From Silk Roads to Silicon Valley : Historical Trade Networks as Blueprints for Modern AI efficiency.

Author(s)	Ms. Manjishtha Pahilajani
Country	India
Abstract	Modern macro economic forecasting often treatthe integration of AI as a frictionless tech plug in assuming a linear transition from technological availability to GDP growth. This proposal challenges that assumption by introducing macro-micro bridging framework. It argues that a reg technological effieciency region's capacity to transform technologocial efficiency into macroeconomic growth is bounded by its aborptive capacity, internal organizational friction and ethical institutional voids (including algorithmic bias, opaque deep learning architechtures, data privacy, vulnerabilities and accountability crisis) This papaer utlilizes and mixed methods comparitive design to integrate historical archival data with modern predictive AI economics evaluating technical mitigation strategies (eg- fairness-aware machine learning, differential privacy, explainanble AI and regulatory protocols (eg GDPR provisions, IEEE Guidelines) to provide concrete framework for modern Indian enterprises navigating infrastructure constraints and work-force transitions
Keywords	AI Ethics, Silk Road, Sindhi, Family business, AI economic prediction, wealth networks in india, Data Bias, Artificial intelligence
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-06-04
DOI	https://doi.org/10.36948/ijfmr.2026.v08i03.80362

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