Asia’s technology exporters are receiving a powerful lift from demand for artificial-intelligence infrastructure, but the same investment cycle is reshaping hiring and widening the gap between economies, the International Monetary Fund said.

AI Demand Lifts Asian Exports

Krishna Srinivasan, director of the IMF’s Asia and Pacific Department, said on October 14 that strong demand for AI infrastructure had boosted semiconductor demand and data-center investment. His remarks were released by the IMF on October 15 during its annual meetings in Bangkok, separating the event date from the publication date.

Technology goods drove a sharp acceleration in exports during the first half of 2026, according to the IMF briefing. Korea and some ASEAN economies received significant growth upgrades as a result, while economies less directly connected to the technology boom saw forecasts revised lower.

The split reinforces the market importance of semiconductor capacity and AI infrastructure. Recent corporate investment has also highlighted demand for large AI data-center projects and the financing needed to build them.

Oil Exposure Tests the Region

The IMF described energy as the other major force shaping Asia’s outlook. The region relies heavily on imported oil and gas, and the shock that began in February has pressured economies through higher costs and supply risks.

Some governments and businesses have adapted by diversifying import sources, reducing demand, using alternative energy and drawing down inventories. The IMF said trade outside technology also held up better than expected because exporters diversified markets and intraregional commerce remained resilient.

Those offsets do not eliminate the risk. The IMF’s broader October outlook projects global activity to grow 3.1% in 2026 before rising to 3.4% in 2027, with the energy shock weighing on activity as AI demand supports trade and investment. That global backdrop also shapes the signal investors receive from the Federal Reserve’s regional growth reports.

AI Changes Hiring, Not Just Output

The IMF said its initial evidence showed employer demand fell 10% for jobs more exposed to AI. However, the decline stabilized even as model capabilities improved, which the Fund interpreted as evidence that technology is changing job requirements rather than simply eliminating work.

Employers are increasingly asking for AI skills. That shift puts training, labor-market mobility and social protection alongside semiconductor investment as core policy issues. The IMF recommended addressing youth unemployment and skills mismatches, improving energy security, rebuilding buffers and deepening regional integration.

For markets, the takeaway is more nuanced than a simple technology boom. Chip and data-center demand can support exporters and capital spending, but gains may remain concentrated while imported energy costs and labor transitions pressure other parts of the economy. Companies deploying new systems also face governance questions similar to those raised by the recent IBM survey of AI incidents in EMEA.

Sharron Kendi is a seasoned crypto market analyst and writer with over three years of experience decoding blockchain trends, price movements, and market dynamics. She holds a Bachelor’s Degree in Commerce (Finance) from Kenyatta University, blending a solid academic foundation with a sharp eye for technical analysis and a deep understanding of on-chain data. Her work delivers clear, data-driven insights that empower investors to navigate the fast-evolving digital asset space with confidence.