For years, AI companies have talked about Asia-Pacific as the future. The region represents billions of users, hundreds of languages, and some of the world’s fastest-growing technology markets. But when Zeki analyzed hiring across 20 leading AI companies, we found something surprising. Most are still hiring in APAC as if it were a sales territory rather than a centre of innovation.
Research and advanced engineering hiring is growing across the region, but commercial hiring remains dominant. Across the companies we analysed, go-to-market teams are around twenty times larger than their equivalent technical workforces.
Commercial hiring continues to dominate AI company expansion across APAC. This raises an interesting question.
If companies believe AI must become more accessible across more languages, more cultures and more regulatory environments, why is so little technical hiring taking place relative to commercial expansion? The answer may lie in where companies think strategic talent resides. Yet the data points to an emerging shift.
A Reversal Few People Are Talking About
One of the most significant changes in the global AI talent market is happening in India. For decades, Indian-trained AI talent largely followed a predictable path: education, international opportunity, then relocation. That pattern is changing. Zeki’s analysis shows a dramatic reversal in talent flows since 2022, with far more Indian-trained AI talent choosing to build careers domestically rather than moving abroad.
Net outflows of Indian AI talent have reversed sharply since 2022. The implications are larger than they first appear. Indian-trained AI talent now represents a growing share of the global market, while major international companies are increasingly able to hire that talent locally rather than relocating it overseas. If this trend continues, the geography of AI innovation may begin to shift alongside it. Not because companies consciously decided to build more research capacity in APAC. But because the talent itself is becoming less mobile.
What Workforce Data Reveals
The most interesting finding from this diagnostic isn’t which company is hiring fastest. It’s the gap between narrative and behavior. Publicly, AI companies talk about the strategic importance of APAC. Workforce data suggests most still view the region primarily through a commercial lens, with research and advanced engineering remaining concentrated in a relatively small number of locations and organisations. At the same time, talent dynamics are changing beneath the surface.
India is retaining more of its AI expertise. Singapore is becoming increasingly contested. Japan’s growth is becoming concentrated around a small number of players. Research hiring remains highly concentrated despite rapid regional growth.
Those shifts don’t always appear in earnings reports, funding announcements or product launches. They show up first in people. And that’s often where the most important market signals emerge.