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This paper presents an AI-powered tool that integrates economic (GTAP) and biophysical (APSIM) models to analyze agricultural supply chain shocks, enabling natural language queries for cross-disciplinary impact assessment.
The author proposes using AI to scan signals from power grids, datacenters, and other sources to extract changes in power dynamics and generate better questions about the AI economy, rather than just answering existing questions.