A defining economic tension is emerging in 2026 as economists weigh the growth promise of artificial intelligence against the disruptive risk of renewed US protectionism under Donald Trump. The debate carries major implications for global trade, investment flows, inflation, and corporate strategy across developed and emerging markets.

According to global economists surveyed and cited in the report, AI-led productivity gains are widely viewed as the strongest upside force for the world economy this year. Advances in automation, enterprise AI, and digital infrastructure are expected to boost output, margins, and long-term growth potential.

At the same time, economists flag a competing risk: the return of aggressive tariffs and trade barriers should Donald Trump pursue protectionist policies. Proposed tariffs on imports, especially from China and other key trading partners, could raise costs, disrupt supply chains, and reignite inflation. Markets are increasingly pricing in both forces simultaneously.

The development aligns with a broader trend across global markets where technological optimism is colliding with geopolitical uncertainty. Over the past two years, AI investment has surged, with governments and corporations betting on productivity gains to offset slowing growth, aging populations, and high debt levels.

However, the global economy remains fragile after years of inflation shocks, interest rate hikes, and geopolitical conflicts. Trade has already become more fragmented, with “friend-shoring” and regional blocs replacing open globalisation.

Donald Trump’s previous presidency saw tariffs used as a central economic weapon, reshaping trade relations and unsettling markets. The prospect of a return to this approach is forcing executives and policymakers to reassess how resilient AI-driven growth can be in a more fractured global economy.

Economists broadly agree that AI represents a structural growth engine, but warn that its benefits may take time to materialise fully. Analysts note that productivity gains often lag technological breakthroughs due to implementation costs, skills gaps, and organisational inertia.

By contrast, tariffs tend to have immediate economic effects. Trade economists caution that broad-based import duties could quickly raise consumer prices and squeeze corporate margins, particularly in manufacturing, retail, and technology hardware.

Market strategists suggest that while AI is viewed as a long-term positive, political risk remains the dominant short-term driver of volatility. Some policymakers argue that strategic tariffs can protect domestic industries, while critics warn they risk undermining global growth just as AI begins to deliver measurable gains.

For global executives, the tension highlights the need for dual-track strategies: investing aggressively in AI while stress-testing operations against trade shocks. Companies with complex, cross-border supply chains may need to accelerate diversification or localisation plans.

Investors face a similar balancing act, weighing AI-driven upside against policy-driven downside risks. Sectors tied to automation and software may outperform, while trade-sensitive industries remain exposed.

For governments, the challenge lies in harnessing AI to boost competitiveness without triggering retaliatory trade wars that dilute growth benefits and destabilise markets.

Looking ahead, markets will closely watch US political signals, trade policy announcements, and real-world AI productivity data. The key uncertainty remains whether AI’s growth impulse can outpace the drag from protectionism. For decision-makers, 2026 may test whether technology-led optimism can withstand a renewed era of economic nationalism.

Source & Date

Source: NDTV
Date: January 2026