World Bank, IMF Project Indonesia GDP Growth Above 5% on AI Demand and State Spending

JAKARTA, Investortrust.id — Indonesia’s macroeconomic expansion is set to remain firmly above the 5% mark over the medium term, with both the World Bank and the International Monetary Fund (IMF) projecting resilient momentum supported by the global artificial intelligence boom and sustained public spending.

The World Bank upgraded its 2026 gross domestic product (GDP) growth projection for Southeast Asia's largest economy by 0.5 percentage points to 5.2% year-on-year, while forecasting stable performance heading into 2027. Concurrently, the IMF maintained its Indonesian growth estimate at 5.1% across both 2026 and 2027.

The upgraded forecasts highlight how domestic public investments and global technological shifts are shielding Southeast Asia from external headwinds, including elevated global borrowing costs and sticky geopolitical tensions. However, with multilateral lenders warning of widening fiscal imbalances and a rising current-account deficit, Jakarta faces the challenge of weaning its economy off state-led stimulus and fostering private-sector capital investment to sustain momentum.

According to the World Bank, the broader East Asia and Pacific region is expanding at an accelerated pace, propelled by the production and export of high-technology goods essential to global artificial intelligence infrastructure.

Domestic Resilience

For Indonesia, domestic resilience was further bolstered as the negative economic fallout from elevated international energy prices proved milder than initially feared. Economic activity has also drawn substantial momentum from central government priority programs, capital expenditures linked to state-owned enterprises (SOEs), and ongoing energy subsidies.

However, the Washington-based lender cautioned that this policy mix—while effective in supporting short-term output—comes at the cost of expanding twin deficits. The World Bank projects Indonesia’s current-account deficit to widen to 1.5% of GDP in 2026.

"As fiscal stimulus wanes, medium-term growth is projected to rely increasingly on private investment," the World Bank stated in its assessment on Monday, Oct. 19, 2026. "Meanwhile, inflation is expected to remain near the upper end of the central bank's target band."

Reinforcing the multilateral lenders' outlook on state-driven momentum, Finance Minister Suahasil Nazara confirmed that fourth-quarter government spending is projected to reach Rp 1,300 trillion ($81.6 billion), climbing from Rp 1,200 trillion in the final quarter of 2025.

"Food assistance has begun rolling out for the fourth quarter, which will drive household consumption and bolster government expenditure across our economy," Suahasil told reporters at the Presidential Palace complex in Jakarta on Monday. "Indonesia's macroeconomic condition and domestic transaction activity remain highly resilient. We will continue safeguarding stability while driving growth."

Easing Inflation

In a parallel assessment, the IMF projected headline domestic inflation to land at 3.3% in 2026 before easing to 2.8% in 2027.

The fund highlighted that rapid technological momentum spearheaded by AI adoption serves as an essential counterweight against international geopolitical fragmentation throughout the Asia-Pacific corridor. In the immediate term, this trend is manifesting via rising export demand, capital deepening, and direct infrastructure outlays, while broader long-term adoption holds the potential to significantly lift total factor productivity.

The IMF noted that net global trade in AI computing hardware has expanded exponentially as a share of world GDP, though the value gain has been driven primarily by premium pricing structures rather than sheer physical volume.

The fund added a note of caution, however, observing that the economic windfall from AI is unlikely to be distributed evenly across developing economies. The global AI architecture remains intensely concentrated across upstream high-performance computing hardware required for training and inference, as well as downstream enterprise frontier model development.