Is AI Truly Transforming Work in the Asia-Pacific?

While AI use is proliferating, it is unclear whether it is moving into the areas of the economy where most of the region’s 2 billion workers are actually employed.

Generative tools such as ChatGPT, Gemini, and Claude have made artificial intelligence (AI) highly visible in everyday work. Millions of people now use such tools to draft emails, summarize notes, translate text, or clean up presentations. This creates a powerful impression that AI has already entered workplaces at scale and that major labor-market effects are imminent. Yet the visibility of AI use and its transformative impact on work are not necessarily the same thing.

The forms of AI adoption most likely to transform productivity and employment are not necessarily the most visible ones: workers occasionally using a chatbot in a browser to save a few minutes on a document. Rather, they involve enterprises – across services, manufacturing, and agriculture – redesigning workflows, integrating AI into operations, and optimizing how work is allocated across teams. It is these organizational changes, rather than the occasional use of AI tools by individual workers, that are most likely to drive substantial productivity gains and labor-market effects. That kind of adoption is difficult and takes time; it requires organizational capability and high-quality data infrastructure, not just access to the technology or a subscription to a service.

This matters especially in the Asia-Pacific, a region whose labor markets are heavily shaped by informality and small-scale economic activity. Nearly 66 percent of employment in the region is , reaching up to 85 percent in sub-regions such as South Asia. Self-employment, micro-enterprises, and small enterprises together are estimated to account for 54 percent of total employment in East Asia, South-East Asia, and the Pacific, and 91 percent in South Asia. Such enterprises often face greater barriers to adopting transformative AI tools, including limited resources to invest in digital infrastructure, workforce skills, and the organizational changes needed to integrate AI into business processes.

While AI may lower the entry barriers for some – for example, allowing informal vendors to use simple tools for basic accounting – meaningful productivity gains require more than just a smartphone. They require a level of organizational capability that many informal and small enterprises currently lack. Effective adoption often demands ongoing investment in skills, data systems and business-process redesign as AI technologies evolve. These requirements are easier for larger enterprises to absorb, while leaving smaller firms, operating with limited resources and limited managerial capacity, struggling to keep pace.

That may be one of the key labor-market challenges related to AI in significant parts of the Asia-Pacific region.

Emerging evidence suggests that these barriers are already visible in practice. New survey data from Singapore, one of the region’s most digitally advanced economies, show that 71.5 percent of enterprises have not yet adopted AI; the percentage is 76 percent for firms with fewer than 25 employees, compared with only 24 percent among firms with more than 500 employees. A survey among employer and business membership organizations (EBMOs) in the Asia-Pacific suggests that on average nearly three quarters of EBMO members are reportedly still exploring AI or at an early stage of adoption.

If this trajectory continues, the main near-term effect of AI may not be drastic job loss, nor a broad-based productivity surge. It may........

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