Indonesia's micro, small, and medium-sized enterprises (MSMEs) stand to gain significantly from the ASEAN Digital Economy Framework Agreement (DEFA), which aims to standardize digital trade and financial services across the region.

Thailand's AI readiness is progressing but remains uneven across key pillars. While a majority of Thai businesses have defined AI strategies and show high deployment in IT infrastructure, critical challenges persist in areas like data management, governance, talent, and organizational culture.

Focusing on Thailand’s corporate bond market from 2001–2020, the study reveals how low rates encourage firms, especially in the property sector—to issue riskier, longer-term bonds, often snapped up not by big institutions but by individual investors chasing higher yields.

Studies of the Indonesian political economy suggest a transformation of government-business relationship from a “patrimonial administrative” state, in which bureaucrats are dominant, to a “patrimonial oligarchic” state dominated by business actors.

The Trump administration’s method of defining “reciprocal tariffs” is unconventional, basing the rate on the extent of the U.S. trade deficit with each country rather than mirroring their actual tariffs.

Just when the global economy began adjusting to the idea of a new normal under United States President Donald Trump’s reciprocal tariff doctrine, the plot twisted.

The Amundi Investment Institute’s April 2025 report, “Liberation Day Tariffs: An Initial Assessment,” analyzes the sweeping new U.S. tariffs under President Trump, marking the highest average tariff rate in a century.

Outlining the sweeping effects of the U.S. administration’s new “Liberation Day” tariff measures, which impose a 36% levy on Thai exports—starting with 10% on April 5 and an additional 26% on April 9, this short report covers the impacts that will befall Thailand in the days to come.

This growth is also linked to Indonesia's thriving digital economy, with projections estimating gross merchandise value could reach $200-360 billion by 2030. AI, particularly in financial services, is driving much of this progress, improving fraud detection, risk assessments, and customer experiences.