The global business landscape is being reshaped in real time. The US recently imposed sweeping new tariffs, prompting more than 60 countries to prepare retaliatory measures and brace for disruption, while major exporters face further restrictions on sensitive goods.

Trade routes are being rerouted due to geopolitical tensions. Regulatory frameworks are becoming more complex and fragmented. Disruptions — from cyberattacks to climate shocks to supply chain breakdowns — are becoming more frequent and pervasive.

According to the World Economic Forum's Chief Economist Outlook, May 2025, 89% of economists believe governments need to increase investment in AI infrastructure and 86% say businesses must lead adoption across key industries to ensure long-term growth. While the report highlights the challenge of maintaining investment amid global uncertainty, it underscores a critical point: businesses that hold their nerve and invest in intelligent infrastructure now will be best positioned to thrive long-term.

In this volatile environment, the traditional view of trade as a purely operational, compliance-driven function is dangerously outdated. What used to be a static operation is now a dynamic battleground that demands foresight, speed and strategic control. Yet, most enterprises still manage trade with disconnected systems, manual trackers and enterprise resource planning rules written for a different era. Managing a fast-changing and increasingly high-stakes business environment requires leaders to treat trade as a strategic control point that informs sourcing decisions, margin management, risk posture and real-time adaptability.

AI for disruption-proof trade

AI enables predictive modelling across the supply chain. Enterprises can simulate sourcing decisions under shifting regulations, ESG requirements and geopolitical constraints. These simulations help leaders make defensible, auditable decisions that align with business goals and compliance mandates.
With AI, trade becomes a strategic lever for resilience and competitive advantage.
AI systems can monitor global events, such as weather, sanctions and cyber threats in real time; detect anomalies across routes, suppliers and documentation; run 24/7 compliance checks to avoid fines or delays; and model disruption scenarios while simulating alternatives across routes and suppliers.
At the heart of this transformation is agentic AI — systems that advise and autonomously act. Imagine a platform that detects a regulatory shift, reroutes shipments, updates documentation and alerts stakeholders — all without human intervention. This is not a distant vision; it’s the emerging reality of AI-powered trade operations.
Take, for example, a company shipping temperature-sensitive products through a route hit by a port closure. With AI, the company can forecast the impact on transit time, identify alternate routes and adjust delivery timelines — all before operations are affected. This is the shift from reactive firefighting to proactive decision-making.

Effective AI adoption requires leadership commitment and vision

Without executive sponsorship, AI projects remain siloed pilots. They lack scale, funding and the cross-functional support required for meaningful transformation.

Despite clear benefits, AI adoption in trade remains limited. The core issue isn’t technology; it’s strategic intent. Business executives need to rethink what’s possible while they embed intelligence into every layer of their operations. This fosters resilience and encourages executives to consider what productivity, value creation and competitive advantage mean in this new era.

To shift gears, leadership must:

  • Reframe trade as strategic: It should influence key decisions, such as market entry, pricing and product launches, not just logistics.
  • Enable cross-functional alignment: AI in trade touches procurement, finance, legal and IT. Integration is key.
  • Establish AI governance: Set clear KPIs, ensure accountability and build systems that align AI outputs with business outcomes.

Without these enablers, companies risk deploying powerful tools into environments that can’t support them.

Embrace disruption with intelligence and resolve

Global trade volatility is no longer occasional; it’s structural. Climate regulations, cyber risks, digital trade restrictions and geopolitical shifts are increasing in frequency and magnitude. Businesses must stop treating disruption as a surprise and start preparing for it as the norm.

Those who hold their nerve and continue to invest in AI and technology infrastructure during uncertain conditions will withstand turbulence and lead through it. Long-term investment in intelligent systems is the ultimate act of business leadership, building resilience before it’s tested.

The companies that succeed in this environment will be those who command their trade ecosystems with intelligence, autonomy and speed. Those that delay the transition will face rising exposure, shrinking options and growing customer dissatisfaction, while competitors build disruption-resilient ecosystems.

Trade is no longer just about crossing borders; it’s about crossing thresholds. The future belongs to companies that move from compliance to clarity, from operations to strategy and from static systems to intelligent ecosystems.

About the Author

Nagendra Bandaru
President, Wipro Technology Services; Member, Wipro Executive Leadership Team, Wipro