Growing through volatility: What leaders must rethink in 2026

Growth, AI, and global trade are now one leadership conversation. 

Just a few months into 2026, business leaders across the Asia Pacific, including in key hubs like Singapore, are already seeing many of the assumptions that shaped last year's business strategies being put to the test.

Renewed trade volatility, accelerating artificial intelligence (AI) adoption, and persistent geopolitical friction are forcing leaders to confront a clear truth: In this volatile world, resilience isn’t just about defense. It’s about building the agility to keep growing while meeting rising customer expectations for speed, transparency, and personalisation.

Across Asia Pacific and emerging markets, forward-looking executives are learning that resilience and growth go hand in hand. Agile networks, adaptive operations, and intelligent systems are becoming engines of growth. The challenges CEOs face today – from trade complexity to faster-moving supply chains – cannot be solved with legacy tools or silos. They demand a fundamentally different approach that puts customers at the centre, delivers flexible solutions, real-time visibility, and builds trust through reliable, proactive service.

That shift is already underway. Leading companies are moving away from rigid, end-to-end global supply chains toward more modular, regionally balanced trade strategies built on flexible logistics, local execution, real-time digital visibility, strong long-term supplier partnerships, scenario planning, and multi-sourcing options such as near-shoring. AI and data are the connective tissue in this transformation - enabling faster customer response, smarter adaptation to policy shifts, and the confidence to invest even when conditions are uncertain.

Growth, AI, and global trade are now one leadership conversation 
The dividing line between companies pulling ahead and those falling behind is no longer defined by AI budgets or geographic footprint alone. What matters most is integration and trust that comes from delivering consistent, transparent experiences.

Leaders creating sustainable advantages have woven growth strategy, technology capability, and trade operations together into one unified approach. They have recognised that these are no longer separate workstreams to be managed in parallel. There are three interdependent dimensions of one strategic challenge – treating them independently slows decision-making and limits adaptability.

Each dimension has evolved. Growth is no longer measured by expansion alone, but by speed, resilience, and customer relevance.

AI has moved beyond experimentation to become essential infrastructure, embedded across operations, customer experience, and executive decision-making. Global trade has shifted from frictionless assumptions to become a more regional, politically shaped operating model resilience, where flexibility often matters more than pure efficiency.

Companies that connect these elements are not just optimising existing models. They are reinventing their businesses for an era where the ability to stay agile, leverage data-driven insights, and earn customer trust is the ultimate competitive advantage.

CEOs are in the driver’s seat 
Integrating growth, AI, and trade into a unified strategy is inherently complex. It cuts across every function, reshapes operating models, and introduces significant risk if mismanaged. That level of judgment cannot be delegated.

The January 2026 BCG CEO survey underscored this shift: Nearly half of CEOs now view AI as a career-defining issue. That perspective is well-founded. AI decisions influence cost structures, workforce strategy, customer experience, and competitive positioning. These are core growth questions that require direct CEO ownership.

The most effective leaders act accordingly. They are chairing AI steering committees, personally selecting priority use cases, and insisting that every AI investment ties back to measurable business outcomes. In 2026, AI leadership is not about curiousity or experimentation; it is about accountability.

Automation at scale: AI’s most immediate return
For CEOs seeking tangible returns, the clearest near-term gains from AI are not found in headline-grabbing applications alone. They come from scaling automation and embedding intelligence deeply across operations – turning data into proactive, trust-building actions.

Across the logistics sector, companies are integrating robotics, warehouse automation, intelligent routing, and advanced analytics into their operations, powered by AI and embedded into customer-facing digital tools.

AI-powered tools are being used to automate product classification, improve documentation accuracy, and accelerate clearance processes. Advanced monitoring systems also provide near real-time visibility, predict potential disruptions, and enable earlier intervention across global supply chains.

At scale, these capabilities allow organisations to identify emerging risks earlier and optimise performance, improving reliability. 

Equally important is workforce readiness. Leading organisations are investing in AI literacy and training to ensure that these technologies are applied responsibly and effectively, ensuring technology adoption drives real operational change.

What does this mean for business leaders 
The question for executives in 2026 is no longer whether to invest in AI, redesign trade networks, or build adaptive operations. The real test is whether those investments are pursued as isolated initiatives or as parts of one coherent strategy for managing growth in volatility whilst earning customer trust.

At the core of this strategy is a relentless focus on the customer. Leading organisations are using AI and data not just to react, but to anticipate and sense shifts early, deliver proactive updates, offer personalised solutions, and respond faster than competitors. Companies that meet them consistently are turning everyday interactions into long-term partnerships built on trust.

Equally important is the designing of trade strategies for volatility rather than stability. This involves building regionally balanced, modular networks supported by strong, long-term supplier partnerships, as well as incorporating multi-sourcing and scenario planning from the ground up. The goal is to remain flexible and responsive without sacrificing momentum or customer confidence.

Finally, organisations should ensure that every investment in AI and data is directly tied to measurable outcomes in productivity and growth. Organisations should first focus on areas where returns are most tangible, particularly in automation and robotics. By embedding these technologies into operations, companies can enhance efficiency, strengthen resilience, and deliver better outcomes for both the business and its customers in uncertain times.

The businesses that will define the next growth cycle are those that change early, adapt continuously, and act decisively. The question is whether their organisations are ready to reinvent themselves for growth in a world that will not stand still.