Firms in emerging markets are entering 2026 with a dual-mandate: navigating the volatility of “reglobalization” while aggressively adopting AI to bridge productivity gaps with developed nations.
While the standard emerging markets playbook focused on cycles and carries is reaching its analytical limits, new winners are emerging based on their ability to integrate into resilient, multi-nodal supply chains.
Strategic Landscape for 2026
The performance of emerging market (EM) firms has increasingly decoupled from broad global trends, driven instead by specific thematic tailwinds.
The Rise of Multi-System Positioning
Firms in “middle power” economies are adopting a dual-track operating model. This involves maintaining optionality between competing geopolitical blocs—securing Western technology and capital while utilizing Chinese infrastructure and energy.
- India: Firms are simultaneously participating in Western semiconductor supply chains while deepening trade engagements with China in energy and materials.
- Mexico and Vietnam: These markets are primary beneficiaries of “near-shoring,” with companies shifting from cost-only models to resilience-based diversification.
The Reglobalization Shift
Reglobalization is rewiring trade for security over efficiency. For EM firms, this means:
- Regional Sourcing: It is estimated that by 2026, roughly 65% of global sourcing will be regional, nearly double the levels seen in previous years.
- Absorbing Tariff Costs: In the current trade environment, roughly 77% of imported goods see tariffs absorbed by the exporters themselves to maintain market share, putting significant pressure on profit margins.
Sector Performance and Real-World Examples
Performance in 2026 is heavily skewed toward technology hardware and critical infrastructure.
Technology and AI Infrastructure
The AI theme has shifted from pure software to the physical supply chain, where EM firms hold dominant positions.
- TSMC (Taiwan): Continues to anchor the advanced-node semiconductor market, supporting GDP growth projections near 7% for the region.
- Samsung and SK Hynix (South Korea): Benefiting from the massive demand for High-Bandwidth Memory (HBM) required for AI servers.
- VEON (Pakistan/Ukraine): Despite regional volatility, firms like VEON are reporting significant EBITDA growth (up 18% over expectations in Ukraine) by focusing on 4G expansion and digital services in under-penetrated markets.
Energy and Industrial Leadership
The demand for AI data centers is fueling a global energy surge, positioning EM industrial firms as critical providers.
- Chinese Industrial Firms: Leading the export of energy storage batteries and power equipment to meet the needs of global data centers.
- Latin American Mining: Companies in Chile (copper) and Brazil are seeing performance uplifts as metals rally to support the green energy transition and AI infrastructure.
2026 Business Model Archetypes
To succeed, EM firms are moving away from ground-up, fragmented strategies toward centralized, high-efficiency models.
| Model Type | Key Strategy | Example / Context |
| The AI Studio | Centralized hubs that house reusable tech components and deployment protocols to ensure ROI on AI investments. | Replacing fragmented, “exploratory” AI projects with top-down programs. |
| System-Level Collaboration | Leveraging public-private digital infrastructure to lower friction and reach massive user bases. | India’s ONDC: Allowing small merchants to access national demand through an open e-commerce network. |
| Agentic AI Adopters | Moving beyond analysis to automate complex, high-value workflows like demand sensing and forecasting. | Used heavily in finance, HR, and internal audit functions to offset labor costs. |
| Super-App Ecosystems | Embedding payments, logistics, and messaging into a single interface to lower onboarding costs. | Common in Southeast Asia (Singapore, Indonesia) to increase digital participation. |
Key Challenges and Risks
- Geopolitical Binary Choices: If US-China competition forces a hard alignment, the “optionality” currently enjoyed by firms in India or Vietnam could collapse.
- Settlement Inefficiency: While cross-border settlement infrastructure is improving, firms in economies with weak institutional capacity remain vulnerable to sudden liquidity tightening.
- Margin Squeeze: The combination of stubborn inflation and the need to absorb tariff costs is driving a predicted 5% rise in global business insolvencies through 2026.
Analyze a specific emerging market region or provide a more detailed breakdown of the AI integration strategies used by these firms.