An interpretable system that models the future of work as an equilibrium under AI-driven forces. Instead of predicting job loss, it decomposes workforce disruption into automation pressure, adaptability, skill transferability, demand, and AI augmentation to explain stability, tension, and transition paths by 2030.
automation data-visualization artificial-intelligence policy-analysis kaggle-dataset explainable-ai future-of-work systems-thinking economic-modeling reskilling interpretable-models streamlit labor-economics workforce-analytics scenario-simulation ai-augmentation equilibrium-modeling force-based-models job-disruption ai-impact
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Updated
Dec 13, 2025 - Python