According to www.worldbank.org, South Asia’s economic growth is expected to slow to 6.3 percent in 2026 amid dislocations in global energy markets — the region remains the fastest-growing emerging markets and developing economies (EMDE) region, driven entirely by India. Excluding India, growth is projected at 4.1 percent in 2026, broadly in line with other EMDEs but expected to exceed them in 2027.
Energy Vulnerability and Trade Reform Opportunities
South Asia is particularly vulnerable to rising energy prices because it depends on imported oil and gas more than any other EMDE region. This dependence amplifies risks from persistent global energy market dislocations or spillovers from global financial turbulence — especially when magnified by domestic weaknesses.
Trade reforms, however, offer a countervailing opportunity. According to the report, India’s free trade agreements with the European Union and the United Kingdom, as well as Sri Lanka’s planned phase-out of para-tariffs, are expected to remove trade barriers — especially for emerging export sectors. These reforms are anticipated to deliver broad-based consumption and real income gains for households across the entire income distribution, with the largest benefits accruing to consumers of manufactured goods, especially among rural households.
Industrial Policy: Intensive Use, Mixed Results
South Asian countries implemented industrial policies at about twice the rate of other EMDEs during 2022–25. About half of these policies targeted manufacturing — and within manufacturing, policies were disproportionately aimed at sectors offering larger employment, higher wages, or greater firm productivity.
The source states that industrial policy measures in South Asia leaned heavily on trade-related instruments, with mixed outcomes: import-restricting policies were followed by significant declines in imports, but export-promoting measures produced no significant gains in exports. Given limited fiscal space and regulatory capacity, the report emphasizes that South Asia’s priority should be broad-based development policies, while industrial policy focuses narrowly on addressing market failures.
AI Exposure and Labor Market Strain
Generative AI adoption is reshaping firms and jobs across South Asia, proceeding rapidly since 2022. According to the report, the introduction of GenAI has slowed hiring among South Asian firms — especially among multinational affiliates. Some of this slowdown appears linked to spillovers from foreign AI adoption: South Asian firms supplying goods and services to more AI-exposed foreign companies have also experienced slower hiring.
The report underscores that value chain upgrading — through faster AI adoption and skills development — will be critical for firms to remain competitive. Accelerating job creation is becoming harder as job prospects erode in AI-exposed activities, and subnational labor market disparities persist.
Wage Differentials and Regional Disparities
In most South Asian countries, within-country regional wage differentials are well above the median of other EMDEs. In South Asia’s larger countries, worker characteristics account for only about one-fifth of these subnational wage differentials. The remaining wage premiums — after controlling for worker traits — are higher in regions with better transport connectivity, more skilled workforces, larger firms, and greater service sector activity. These premiums appear persistent and self-reinforcing.
While such regional wage persistence may warrant place-based or industrial policies, the source notes that South Asia’s experience with these policies has been mixed.
Practitioner Implications for Global Supply Chain Professionals
For supply chain professionals operating across or sourcing from South Asia, three trends demand operational attention: First, energy price volatility directly impacts logistics costs and production scheduling — especially given the region’s heavy reliance on imported oil and gas. Second, new trade agreements (e.g., India-EU FTA, India-UK CETA) and Sri Lanka’s para-tariff phase-out create near-term tariff arbitrage opportunities and require updated landed-cost modeling for manufactured goods, particularly those targeting rural consumer segments. Third, AI-driven hiring constraints — especially among multinational-affiliated suppliers — signal potential capacity bottlenecks and longer lead times in AI-exposed segments (e.g., IT-enabled services, electronics assembly, data annotation). Proactive workforce planning, dual-sourcing strategies, and supplier capability assessments aligned with AI-readiness indicators are now essential risk-mitigation levers.
Source: www.worldbank.org
Compiled from international media by the SCI.AI editorial team.
