Ph.D. student finds AI can detect warning signs of global oil crises before they happen

Ph.D. student Nzubechukwu Ohalete from Kennesaw State University has discovered that artificial intelligence (AI) can identify warning signs of major oil crises weeks before they occur, specifically detecting patterns linked to the 2026 closure of the Strait of Hormuz.
Financial-focused AI models using natural language processing outperformed general-purpose AI models in identifying the crisis, providing an early warning to policymakers and businesses.
The research demonstrated the potential for specialized AI tools to provide earlier insights into emerging global events, enabling more informed decisions.
The study highlighted that financial-focused AI models detected a potential spike in oil prices 47 days before the Strait of Hormuz closed, outperforming general-purpose models by 20 days.
The findings suggest that news coverage can serve as an early indicator of geopolitical issues, thus indicating potential supply chain risks and helping stakeholders better prepare for disruptions.

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