Tariff volatility is no longer a temporary disruption; it has become a permanent operational feature of global trade. Yet, most organisations continue to sail this new reality using systems and tools that are designed for a far more predictable environment.
Across the Asia Pacific, companies have embraced AI to help manage trade uncertainty. Yet, tariff exposure remains stubbornly high.
The reason is simple: most organisations are using AI to forecast tariffs, not to reduce their impact.
The challenge is no longer AI adoption. It is AI integration.
According to Maersk’s Trade Momentum APAC: Strategic Pathways Through Tariffs report, developed in collaboration with Statista+, 74% of respondents are already using AI operationally for tariff forecasting, while another 26% are testing and piloting AI solutions. Only 1% report no AI usage at all.
AI adoption, therefore, is no longer the story.
Despite widespread deployment, nearly 72% of APAC supply chain leaders remain highly exposed to tariff volatility. This raises an important question: if AI is so widely used, why has tariff risk not declined proportionately?
The answer lies in how AI is being deployed.
The Integration Gap
The report identifies a significant “integration gap” between AI adoption and measurable business outcomes. Many organisations have AI tools running alongside their trade operations rather than embedded within them.
Nearly three-quarters (73%) of respondents restrict AI to specific regions, products, or isolated use cases. More importantly, only 47% have connected AI systems to trade compliance or customs platforms—the critical link that turns optimisation into exposure reduction.
The contrast becomes even clearer when comparing different levels of AI maturity. Among AI-exploring firms, only 10% have integrated AI with compliance platforms. Among AI-operationalising firms, that figure rises to 59%. This 49-point gap represents one of the clearest indicators of why some organisations are progressing faster than others.
Part of the hesitation stems from a confidence gap. AI technology is advancing faster than organisations’ ability to validate, govern, and trust its outputs in highly regulated compliance environments. Most companies have acquired the tool, but relatively few have embedded it where it matters most.
Forecasting Is Not Mitigation
An AI engine may successfully predict that tariffs on a particular trade lane are likely to increase. However, unless that intelligence is connected to customs systems, compliance workflows, origin verification processes, and landed-cost calculations, it cannot meaningfully reduce exposure.
In other words, AI can identify the problem, but it cannot solve it on its own.
Without integration, AI cannot automatically recommend alternative sourcing locations, optimise duty structures, validate origin requirements, or prevent costly compliance failures before shipments move.
This is the difference between visibility and action.
Why Compliance Matters More Than Ever
One of the report’s most significant findings is that compliance has evolved from an administrative function into strategic infrastructure.
Documentation complexity, origin verification, customs requirements, and regulatory compliance frequently create greater operational challenges than the tariffs themselves. As trade regulations become more complex, compliance increasingly determines how quickly and effectively organisations can respond to disruption.
This is where AI delivers its greatest value.
When integrated directly into trade compliance and customs platforms, AI can:
- Automate tariff classification
- Verify origin documentation
- Calculate duties in real time
- Flag compliance risks before shipment
- Generate auditable compliance trails
- Support faster customs clearance
The objective is not simply faster processing. It is creating a verifiable, transparent decision-making framework that can withstand regulatory scrutiny.
Disconnected AI may optimise freight rates. Connected AI helps determine whether a shipment should move at all, through which route, and at what landed cost.
Beyond AI Adoption
The organisations pulling ahead are not necessarily those investing in the most AI. They are the ones connecting AI directly to compliance platforms, customs workflows, and network planning systems.
The next frontier is real-time landed-cost visibility, where AI continuously recalculates tariff, duty, fuel, and routing costs across multiple trade corridors and recommends corrective action before disruption affects margins.
In an era of permanent tariff volatility, predicting disruption is no longer enough. Competitive advantage will belong to organisations that use AI not just to see risk coming but also to reduce exposure before it turns into cost.
