The 2026 ASEAN Business Outlook Survey found that 87% of large enterprises had AI agents in pilot programmes or production, but just 7% were ready to scale; culture and change management was the leading internal barri... The average AI readiness score was 42 out of 100.
Published byEdited with GPT-6 LunaImages generated with GPT Image 2
Research answer

Create a landscape editorial hero image for this Studio Global article: What does the 2026 ASEAN Business Outlook Survey, released by the American Chamber of Commerce in Singapore (AmChamSG) in partnership with A. Article summary: The survey points to a large gap between experimenting with agentic AI and being organisationally ready to scale it: adoption is widespread, but enterprise-wide readiness remains low.[3] Alongside ASEAN’s growing strateg. Topic tags: general, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fa
The 2026 ASEAN Business Outlook Survey points to a striking gap between trying agentic AI and being prepared to scale it. While 87% of large enterprises surveyed had AI agents in pilot programmes or production, only 7% were ready to scale. The average readiness score was 42 out of 100, and culture and change management topped the list of internal barriers.2 The results suggest that adoption is moving faster than the organisational changes needed to make it work across a business.
An AI agent is designed to pursue a goal and take actions toward it, rather than simply respond to a prompt.3 But having agents in a pilot or production does not necessarily mean an organisation can deploy them broadly, manage their effects or measure their value.
That distinction helps explain the survey’s figures: 87% reported agents in pilot programmes or production, yet just 7% were ready to scale, with the average readiness score at 42 out of 100.2 The survey measures different stages of adoption and preparedness; the two percentages are not contradictory.
Culture and change management was the leading internal obstacle, cited by 27% of respondents—ahead of legacy technology and data readiness.2 Accenture Singapore country managing director Mark Tham’s emphasis on organisational challenges reflects that result: introducing agents is only part of the work if roles, processes and accountability do not adapt as well.
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The survey’s priorities point to the operating conditions that can support wider adoption: clear accountability, data prepared for AI use and an understanding of the distinct markets in which a company operates.12
These are connected challenges. Accountability clarifies who is responsible for AI-enabled work and its outcomes. AI-ready data supports the systems that use it. And market-specific understanding matters when a business is deploying across ASEAN rather than treating the region as one uniform operating environment. The survey’s findings do not suggest that technology is unimportant; they underline that technology alone does not resolve organisational readiness.
The survey also reflects a change in how companies view the region. The share of respondents who considered ASEAN markets outside Singapore “very important” rose from 46% in 2022 to 68% in 2026.4 The reported investment drivers include supply-chain resilience and diversifying operations concentrated in China, alongside consumer-market growth.
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That broader regional interest makes the readiness gap more consequential: firms considering expansion or operational diversification may need to adapt both their AI deployment and their business practices to different markets. The survey describes Singapore as a trusted regional base, with talent, infrastructure and institutional frameworks that could support wider adoption in neighbouring markets. AmChamSG CEO Hsien-Hsien Lei’s assessment presents Singapore as a potential enabler, not a substitute for the readiness work individual organisations must do.12
The survey’s headline is not simply that ASEAN businesses are adopting agentic AI. It is that adoption has outpaced readiness: 87% of large enterprises have agents in pilot or production, but only 7% are prepared to scale them.2 For businesses, the practical challenge is to pair deployment with accountable ownership, suitable data and an operating model that can work across diverse markets.
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The 2026 ASEAN Business Outlook Survey found that 87% of large enterprises had AI agents in pilot programmes or production, but just 7% were ready to scale; culture and change management was the leading internal barri...
The 2026 ASEAN Business Outlook Survey found that 87% of large enterprises had AI agents in pilot programmes or production, but just 7% were ready to scale; culture and change management was the leading internal barri... The average AI readiness score was 42 out of 100. Meanwhile, the share of respondents who considered ASEAN markets outside Singapore very important rose from 46% in 2022 to 68%.[2][4]
The survey’s message for businesses: scaling agentic AI requires clear accountability, AI ready data and approaches tailored to individual markets—not deployment alone.[12]
The 2026 ASEAN Business Outlook Survey found that 87% of large enterprises had AI agents in pilot programmes or production, but just 7% were ready to scale; culture and change management was the leading internal barri... The average AI readiness score was 42 out of 100.
Published byEdited with GPT-6 LunaImages generated with GPT Image 2
Research answer

Create a landscape editorial hero image for this Studio Global article: What does the 2026 ASEAN Business Outlook Survey, released by the American Chamber of Commerce in Singapore (AmChamSG) in partnership with A. Article summary: The survey points to a large gap between experimenting with agentic AI and being organisationally ready to scale it: adoption is widespread, but enterprise-wide readiness remains low.[3] Alongside ASEAN’s growing strateg. Topic tags: general, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fa
The 2026 ASEAN Business Outlook Survey points to a striking gap between trying agentic AI and being prepared to scale it. While 87% of large enterprises surveyed had AI agents in pilot programmes or production, only 7% were ready to scale. The average readiness score was 42 out of 100, and culture and change management topped the list of internal barriers.2 The results suggest that adoption is moving faster than the organisational changes needed to make it work across a business.
An AI agent is designed to pursue a goal and take actions toward it, rather than simply respond to a prompt.3 But having agents in a pilot or production does not necessarily mean an organisation can deploy them broadly, manage their effects or measure their value.
That distinction helps explain the survey’s figures: 87% reported agents in pilot programmes or production, yet just 7% were ready to scale, with the average readiness score at 42 out of 100.2 The survey measures different stages of adoption and preparedness; the two percentages are not contradictory.
Culture and change management was the leading internal obstacle, cited by 27% of respondents—ahead of legacy technology and data readiness.2 Accenture Singapore country managing director Mark Tham’s emphasis on organisational challenges reflects that result: introducing agents is only part of the work if roles, processes and accountability do not adapt as well.
9
12
The survey’s priorities point to the operating conditions that can support wider adoption: clear accountability, data prepared for AI use and an understanding of the distinct markets in which a company operates.12
These are connected challenges. Accountability clarifies who is responsible for AI-enabled work and its outcomes. AI-ready data supports the systems that use it. And market-specific understanding matters when a business is deploying across ASEAN rather than treating the region as one uniform operating environment. The survey’s findings do not suggest that technology is unimportant; they underline that technology alone does not resolve organisational readiness.
The survey also reflects a change in how companies view the region. The share of respondents who considered ASEAN markets outside Singapore “very important” rose from 46% in 2022 to 68% in 2026.4 The reported investment drivers include supply-chain resilience and diversifying operations concentrated in China, alongside consumer-market growth.
12
That broader regional interest makes the readiness gap more consequential: firms considering expansion or operational diversification may need to adapt both their AI deployment and their business practices to different markets. The survey describes Singapore as a trusted regional base, with talent, infrastructure and institutional frameworks that could support wider adoption in neighbouring markets. AmChamSG CEO Hsien-Hsien Lei’s assessment presents Singapore as a potential enabler, not a substitute for the readiness work individual organisations must do.12
The survey’s headline is not simply that ASEAN businesses are adopting agentic AI. It is that adoption has outpaced readiness: 87% of large enterprises have agents in pilot or production, but only 7% are prepared to scale them.2 For businesses, the practical challenge is to pair deployment with accountable ownership, suitable data and an operating model that can work across diverse markets.
Studio Global AI
This page includes a source-backed answer you can continue inside Studio Global.
The 2026 ASEAN Business Outlook Survey found that 87% of large enterprises had AI agents in pilot programmes or production, but just 7% were ready to scale; culture and change management was the leading internal barri...
The 2026 ASEAN Business Outlook Survey found that 87% of large enterprises had AI agents in pilot programmes or production, but just 7% were ready to scale; culture and change management was the leading internal barri... The average AI readiness score was 42 out of 100. Meanwhile, the share of respondents who considered ASEAN markets outside Singapore very important rose from 46% in 2022 to 68%.[2][4]
The survey’s message for businesses: scaling agentic AI requires clear accountability, AI ready data and approaches tailored to individual markets—not deployment alone.[12]