# AI Could Touch 80 Million ASEAN Jobs, But the ILO Says Disruption Isn’t Here Yet

- Link: https://www.thailand-business-news.com/corporate/319019-ai-could-touch-80-million-asean-jobs-but-the-ilo-says-disruption-isnt-here-yet
- Published: 2026-07-19T18:02:09+07:00
- Author: Li Zhong

* A 2025 ILO policy brief estimates that nearly 80 million workers across ASEAN—
   roughly 23 percent of total employment — hold jobs with meaningful exposure to
   generative AI. Only about 11.7 million fall into the highest-exposure category,
   and two-thirds of the regional workforce shows no identified exposure. Employment
   in exposed occupations has continued to grow despite increasing AI contact.
 * Thailand ranks at 20.6 percent exposure, near the regional middle, while Singapore
   leads at 42.2 percent. The ILO highlights a preparedness gap between how exposed
   workforces are and how ready institutions are to respond. Women face disproportionately
   high exposure due to concentration in clerical and professional roles, and informal
   workers remain largely outside the data.

A new policy brief from the International Labour Organization puts a hard number
on a question that has hovered over Southeast Asian boardrooms and finance ministries
for the past two years: how many jobs in the region actually sit in the path of 
generative AI. The answer, released this week, is nearly 80 million.

### What the ILO found

According to the ILO’s 2025 estimates, 22.9 percent of total employment across ASEAN—
close to 80 million workers — sits in occupations with more than a minimal degree
of potential exposure to generative AI. The brief, titled “Generative AI and labour
markets in ASEAN: Significant exposure, limited disruption, uneven preparedness,”
is careful to separate exposure from displacement. Only 3.3 percent of the regional
workforce, around 11.7 million people, falls into the “highest exposure” category,
and roughly 67 percent of ASEAN employment shows no identified GenAI exposure at
all.

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The report’s own framing captures the tension: significant exposure, but limited
disruption so far. Employment in the most exposed occupations has kept growing even
as GenAI touches more of the workforce, and actual adoption remains concentrated
in technology-heavy roles, with much slower uptake in office and administrative 
jobs despite their higher exposure scores.

### Where Thailand sits in the regional picture

Singapore tops the exposure ranking at 42.2 percent of total employment, a reflection
of its finance- and tech-heavy economy. The Philippines follows at 28.1 percent,
driven by its large IT and business process outsourcing sector, then Indonesia at
21.7 percent and Vietnam at 20.8 percent. Thailand comes in at 20.6 percent, near
the middle of the pack and meaningfully below Singapore’s exposure level.

That positioning is worth reading alongside Thailand’s own AI trajectory. Microsoft
recently reported that [Thailand ranks second worldwide for AI adoption growth](https://www.thailand-business-news.com/generative-ai/313464-thailand-ranks-second-worldwide-for-ai-adoption-growth-microsoft-reports),
with workplace AI adoption up 36.4 percent year-on-year. The two data points aren’t
contradictory — fast-growing adoption from a low base is consistent with occupational
exposure that hasn’t yet caught up to Singapore’s. The Thai government’s own [25 billion baht AI development programme](https://www.thailand-business-news.com/finance/237383-thailand-commits-%E0%B8%BF25-billion-to-drive-ai-development-through-2027)
allocates 6 billion baht specifically to building a skilled AI workforce, which 
suggests policymakers are already positioning for exposure to rise.

### A gender gap inside the numbers

One of the more striking findings concerns who bears the exposure. Women are more
than twice as likely as men to work in occupations with high GenAI exposure, a pattern
the ILO links to their concentration in clerical, administrative, and professional
roles. Young workers aged 15 to 24 show broadly similar exposure levels to older
adults, suggesting this isn’t primarily a generational story.

### The preparedness gap

Perhaps the most useful concept in the brief is what the ILO calls the preparedness
gap — the distance between how exposed a country’s workforce is and how ready its
institutions are to manage that exposure. Singapore is held up as the clearest example
of high exposure matched with high preparedness, combining advanced digital infrastructure,
strong talent availability, and a coordinated government strategy. The implicit 
question for the rest of ASEAN, Thailand included, is whether exposure will keep
climbing faster than the institutional response.

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That question sits close to ground Thailand has already been covering on other fronts.
The country’s [data centre and AI infrastructure buildout](https://www.thailand-business-news.com/generative-ai/314496-thailand-emerges-as-a-regional-data-centre-leader-amid-ai-driven-demand)
is running into its own talent shortage, with demand for skilled data-centre professionals
outpacing supply. And in the informal economy, the ILO has separately noted that
[more than 16 percent of ASEAN youth](https://www.thailand-business-news.com/asean/316258-aseans-gig-economy-beyond-just-a-side-hustle)
were not in education, employment, or training in 2024 — a workforce segment the
GenAI exposure figures don’t fully capture, since informal work accounts for a large
share of employment in Thailand, Cambodia, and Indonesia.

### The investment read

For now, the ILO’s message to policymakers and investors is one of urgency without
alarm: the potential for labour market transformation is real, but the disruption
itself hasn’t materialised yet. That gives ASEAN governments, Thailand’s among them,
a window to build the reskilling and social protection systems the report calls 
for before adoption catches up to exposure. Whether that window stays open depends
largely on how quickly GenAI moves from technology-sector adoption into the office
and administrative roles where exposure is highest but uptake has so far lagged.
