Harvard Study Shows AI Cuts Supply Chain Recovery Time by 42% After 2025 Disruptions
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A Harvard Business School working paper analyzed data from 450 global manufacturing firms between 2023 and 2025 to measure AI's impact on supply chain resilience after disruptions like geopolitical shocks. Researchers used difference-in-differences regression, econometric modeling, and case studies of 25 high-AI adopters to isolate AI effects from other factors. Key findings reveal AI integration reduced recovery time by 42% and boosted profitability by 28% for firms using hybrid AI-human models. This demonstrates how predictive analytics enable proactive inventory adjustments, minimizing costs during volatility. The study underscores AI's potential to stabilize manufacturing amid post-2025 trade wars and disasters.
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Key Entities
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Harvard Business School Person
Publisher of the working paper on AI supply chain impacts.
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AI-Driven Supply Chain Optimization Concept
Focus on manufacturing resilience post-2025 disruptions.
Bias Distribution
Source & Verification
Source: Hbs
Status: AI Processed
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