THREAT ASSESSMENT: Geopolitical Risk and GenAI Readiness in Financing Sustainable Supply Chains – Implications for India’s Green Transition
Geopolitical volatility is reshaping the calculus of sustainable finance in India; the window for institutionalizing GenAI as a decision buffer narrows without deliberate governance architecture to anchor it.
**Bottom Line Up Front:** Geopolitical risk poses a significant threat to green financing for sustainable supply chains in India, but strategic adoption of Generative AI (GenAI) decision support systems can mitigate disruptions and improve capital allocation efficiency under uncertainty (Deb et al., 2026).
**Threat Identification:** The primary threat is the destabilization of sustainable supply chain financing due to geopolitical risks—such as trade restrictions, regional conflicts, and regulatory shifts—that disrupt logistical networks and investor confidence. These macro-environmental shocks amplify uncertainty, making traditional financing models for environmental and social sustainability initiatives less viable, especially within India’s evolving regulatory landscape.
**Probability Assessment:** High likelihood over the next 3–5 years (2026–2031), given increasing global instability, Indo-Pacific tensions, and volatile commodity flows. Concurrently, the window for effective GenAI integration into supply chain finance is narrowing, with early adopters likely to gain significant competitive advantages by 2028.
**Impact Analysis:** Unmitigated geopolitical risk could delay or derail India’s National Logistics Policy and climate finance goals, particularly affecting ESG-aligned projects. Disruptions may lead to capital flight from green initiatives, increased cost of financing, and fragmented supply networks. However, GenAI-enabled systems can enhance predictive analytics, assess geopolitical exposure in real time, and align sustainability metrics with investor expectations, thereby reducing systemic risk (Deb et al., 2026).
**Recommended Actions:**
1. Integrate GenAI decision support systems into corporate sustainability planning to process unstructured geopolitical and environmental data.
2. Develop public-private partnerships to create risk-sharing financial instruments insulated from short-term geopolitical shocks.
3. Align green financing frameworks with India’s National Logistics Policy and expand regulatory incentives for AI-augmented sustainability reporting.
4. Conduct stress-testing of supply chain financing models against plausible geopolitical scenarios.
**Confidence Matrix:**
- Threat Identification: High confidence (supported by established macro-risk trends and academic modeling)
- Probability Assessment: Medium-High confidence (based on current geopolitical trajectory and technology adoption curves)
- Impact Analysis: High confidence (consistent with RBV framework and empirical patterns in emerging markets)
- Recommended Actions: Medium confidence (contingent on institutional capacity and AI governance maturity)
Citation: Deb, I., Shety, S., & Roy Chowdhury, P. (2026). *Financingsustainable Supply Chain: A View from Geopolitical Risk and GenAI for Indian Economy*. International Journal of Advances in Business and Management Research.
Published June 28, 2026