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Home AI and Machine Learning

Nearly all knowledge workers in ASEAN expect to use AI and AI agents at work, study finds

by FutureCIO Editors
April 23, 2026
https://pixabay.com/photos/office-cubicles-employees-working-95311/

https://pixabay.com/photos/office-cubicles-employees-working-95311/

Nearly all knowledge workers in ASEAN expect to integrate AI and AI agents into their work routines, and for their jobs to change to some degree, according to a Salesforce survey.

The survey revealed that only 3% of knowledge workers in ASEAN expect never to use AI agents, while 75% have interacted with or are already using agentic AI.

 Paul Carvouni
Paul Carvouni

“While the growing trust in AI across ASEAN is being driven by personal curiosity, individual use alone doesn’t translate to enterprise-scale impact and trusted business outcomes,” said Paul Carvouni, senior vice president and general manager, Salesforce ASEAN.

“For businesses, this is a clear signal to move: our workforce is ready, but it is up to organisations to provide the secure, enterprise-grade frameworks and skills support that turns personal use of AI into a coordinated engine for growth and innovation in the Agentic Enterprise,” he added.

Skills and knowledge gap

Conducted by YouGov among 4,062 knowledge workers across ASEAN, including Singapore, Indonesia, Thailand, and the Philippines, the survey reveals a skills and knowledge gap that could hinder organisations from fully leveraging agentic AI despite widespread openness to adoption.

Some 42% of ASEAN knowledge workers want a better understanding of the skills they need to develop for the AI era.

Only 32% of ASEAN knowledge workers report that their companies are training them to use AI agents.

Carvouni added, “What we need now is to build AI fluency: the ability to confidently collaborate with AI and drive business impact at speed and scale. AI fluency across the region is what will transform AI from a mere technology innovation into an economic advantage for ASEAN.”

Related:  Sophos report uncovers trends likely to impact cybersecurity in 2020
Tags: Agentic AIArtificial Intelligencedigital transformationknowledge gapSalesforceskills gap

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