Hong Kong’s AI Talent Market: Structural Mismatches Between Supply and Industry Demand

AI (Artificial Intelligence) is reshaping industries in Hong Kong and abroad, making AI talent an important driver of economic development and technological competitiveness. In Hong Kong, the key policy question is whether the structure of the AI talent pool matches real market demand, with issues such as skill composition, experience levels, industry alignment, and the integration of incoming talent.

Published by the Center for Business and Social Analytics (CBSA), HKUST Business School, this report, Hong Kong’s AI Talent Market: Structural Mismatches Between Supply and Industry Demand, examines these issues by comparing the supply of AI talent with hiring demand in Hong Kong. It analyzes Hong Kong’s AI talent market from both the supply side and the demand side. The supply-side analysis focuses on the structure and evolution of the AI workforce, using a ten-year LinkedIn-based dataset covering more than 25,000 AI professionals with work experience in Hong Kong. The demand-side analysis examines hiring demand using recent job posting data, analyzing more than 1,800 recent AI-related job postings from Jobsdb.

The report shows that Hong Kong has built a sizable and growing AI workforce over the past decade. Hong Kong continues to attract AI professionals from overseas, with a clear net inflow recorded over the past decade. A large share of incoming professionals comes from Mainland China, followed by the United States and the United Kingdom. However, the main market problem is not talent quantity but matching quality. In other words, Hong Kong’s AI talent challenge is not a shortage. It is a structural mismatch.

As Prof. YANG Yi (Director of CBSA) summarizes, “This report identifies three structural mismatches in Hong Kong’s AI talent market. First, there is an experience mismatch. While most new additions to the workforce are relatively junior, only 19% of AI job postings target junior candidates. Second, there is a skills mismatch. Many AI professionals have strong core technical skills. However, firms often need applied capability, including business integration, industry knowledge, and deployment experience. Third, there is an ecosystem mismatch. Nearly 90% of AI job postings and more than 70% of AI R&D positions come from non-AI firms, especially from large and established enterprises in sectors such as finance, logistics, and professional services. However, much of Hong Kong’s technical AI capacity sits in startups and innovation hubs.”

As a result, the main challenge in Hong Kong’s AI talent market is not the overall number of AI professionals. It is whether the available talent matches employer needs in experience, applied capability, and industry fit. Prof. Yang believes that Hong Kong’s AI talent challenge is primarily a problem of mismatch rather than talent shortage. He advises that Hong Kong can (1) expand the senior AI talent pipeline, (2) strengthen applied AI capability, and (3) bridge AI development and industry adoption.

Regarding the role of higher education, Prof. Yang states, “Universities can help address the mismatch by strengthening cross-disciplinary AI learning, deepening collaboration with industry, and expanding opportunities for innovation and entrepreneurship. In practice, this means helping students combine AI skills with domain knowledge, gain exposure to real business needs through internships and applied projects, and build the ability to turn technical ideas into practical solutions.”