
Southeast Asia is missing the AI hardware boom despite some presence in semiconductor manufacturing and server assembly, contributing only 6% of global intermediate manufacturing versus 15% for China.
While Singapore, Malaysia, and Vietnam may benefit from rising electronics demand, the region's AI sector lags far behind North Asia's dominant players like TSMC and Samsung, and the Philippines risks job losses in its outsourcing industry.
Investment in AI research and development is critical for the region to avoid irrelevance, though experts warn there is no quick fix.
What happened
Southeast Asia contributes just 6% of global intermediate manufacturing, compared with 15% for China, according to Edward Lee, Standard Chartered's chief economist for ASEAN and South Asia. While Singapore produces semiconductors and Malaysia handles chip assembly and testing, the region's AI sector remains significantly smaller than North Asia's, which hosts leading semiconductor companies and server assemblers.
Why it matters
Lee warns that Southeast Asian companies and governments must invest in AI-related research and development to avoid irrelevance as hardware demand surges elsewhere—notably at TSMC, Samsung Electronics, and SK Hynix, which are capturing the windfall from AI processor demand. The Philippines faces particular risk: its business process outsourcing industry, which contributes 8% of GDP, could be threatened by AI, prompting the IT & Business Process Association of the Philippines to downgrade its 2028 revenue forecast to $50.5 billion(約8.1兆円) (from $59 billion(約9.4兆円)) and headcount to 2.14 million jobs (from 2.5 million).
What to watch
The Singapore government has committed over 1 billion Singapore dollars ($776 million(約1200億円)) to fund fundamental AI and applied research, though Lee acknowledges that R&D is costly. Lee expects Singapore, Malaysia, and Vietnam to benefit from increased electronics manufacturing demand, but cautions that there is no simple fix: "getting there isn't just a matter of snapping one's fingers or throwing money towards the industry."
Ask the AI about this article →
Southeast Asia's struggle to capture value in the AI boom reflects a broader structural challenge: while the region has manufacturing capabilities in semiconductors, chip assembly, and server assembly, it lacks the integrated supply chain dominance and technological depth of North Asia. Taiwan, South Korea, and Japan have consolidated control over high-value segments—TSMC alone reported 707 billion New Taiwan dollars ($22 billion(約3.5兆円)) in quarterly profit in July, a 77% year-on-year jump—while Southeast Asia's contributions remain peripheral. Edward Lee's observation that the region "has not really moved up the value chain" despite decades of foreign direct investment highlights the risk of remaining locked in lower-margin assembly and testing roles.
The Philippines case illustrates how AI disruption compounds existing vulnerabilities. The business process outsourcing sector, which employs 1.89 million people and generated $40.3 billion(約6.4兆円) in revenue last year, faces direct automation risk. The official downgrade of 2028 forecasts—to $50.5 billion(約8.1兆円) revenue and 2.14 million jobs—is a public acknowledgment that AI is not simply a growth opportunity for the country but a competitive threat to its primary export sector. By contrast, countries with deeper manufacturing integration (Singapore, Malaysia, Vietnam) are expected to capture incremental gains in electronics demand, though these will likely remain incremental rather than transformative.
Lee's warning that "R&D is costly" and his refusal to offer a "silver bullet solution" suggests that catching up is not simply a matter of policy willingness. Building indigenous AI research capacity and semiconductor design expertise requires sustained investment, talent, and infrastructure that take years to mature. Geopolitical fragmentation of supply chains—a theme Standard Chartered emphasized in its July 15 briefing—may create some openings for Southeast Asian diversification, but only if the region invests now in capabilities that go beyond assembly.
For example, today's edition would include:
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. Q&As are published on this page for other readers too.
Israeli startup DataAgent Ltd
SK Hynix presented a custom HBM concept at SEMICON Taiwan 2026, where compute functions are placed in the base…

Taoyuan is positioning itself as a northern hub for AI data centers (AIDC), citing the Tatan area and an LNG c…

The U.S. Department of Defense announced on August 31 that it has deployed ChatGPT Mil, a customized version o…

Nvidia reported earnings that were both remarkable and boring, reflecting its focus on avoiding a consolidated…

Anthropic has agreed to a $35bn cloud-computing contract with Lambda, a Nvidia-backed cloud provider
