The conversation about AI compensation in APAC has been dominated by salary figures. But among the AI professionals most in demand — those with three or more years of production LLM experience, or rare domain-plus-model-proficiency combinations — salary has become almost secondary.
Research time
The single most consistent theme across interviews with senior AI professionals in Singapore, India, and Japan was research time — dedicated time during the working week to explore problems not directly tied to current product objectives. Companies that offer structured research time report significantly better retention among senior AI professionals.
Publishing rights
Many of APAC's most accomplished AI researchers left academia for industry expecting to continue publishing. Companies that have captured this talent — Naver Labs, LINE Yahoo Japan, Antgroup, ByteDance Research — have created publishing pipelines allowing researchers to submit work for peer review while protecting proprietary IP. Companies demanding blanket NDAs are finding this cohort increasingly unavailable.
Compute access
For researchers working on model development, access to GPU compute is as important as salary. The ability to run large-scale experiments without internal approval processes — 'compute autonomy' — is a significant differentiator. Several Singapore-based researchers described leaving well-paying roles at banks specifically because getting approval for a training run required a business case longer than the experiment itself.
Career trajectory clarity
AI professionals across all levels cited clarity about career progression as a key factor in job choice and retention. Many AI teams in APAC are new enough that there are no established tracks for individual contributors who do not want to move into management. The employers winning on talent are those that have explicitly defined a senior individual contributor track with compensation that competes with management roles.