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AI integration and economic impact in Hong Kong

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2026-08-24 16:44 UTC → 2026-09-09 09:56 UTC · added ~~removed~~

Artificial intelligence is driving significant economic shifts in Hong Kong across multiple sectors. In the infrastructure sector, a rapid expansion of AI applications in mainland China has caused a surge in demand for compute capacity. Rental rates for power in Hong Kong data centres have reportedly jumped approximately 90% since early 2026, with major Chinese firms such as Alibaba Group Holding and Tencent Holdings accounting for roughly 90% of recent leases. In the local service economy, AI is transitioning from an experimental tool to a practical operational necessity for catering and food delivery businesses. Industry experts, including Bruce Rockowitz, suggest AI is becoming a vital competitive advantage to combat rising labor costs and tightening margins. ~~Key applications include demand forecasting—using historical sales, weather, and local events to manage inventory and staffing—and data-driven menu management to identify high-margin dishes.~~ Broader economic indicators reflect this trend, with Financial Secretary Paul Chan Mo-po noting that AI is becoming a major economic driver. Hong Kong has experienced high double-digit export growth for AI-related products, and AI-related IPOs accounted for approximately 55% of total new stock listings between December and May. The government is also integrating AI into public services, such as automating vehicle license renewals and traffic light regulation. Newer developments highlight a growing ‘consulting gap’ in the financial sector. A McKinsey & Company study in Hong Kong found that while 50% of customers use AI tools as a ‘second opinion’ for financial decisions, only half of financial advisors use AI less than once a week. Adoption varies by clientele, with advisors for high-net-worth individuals using AI at 69%, compared to 34% for the mass market. Furthermore, the rise of ‘Physical AI’ is advancing smart manufacturing through machine vision and human-robot collaboration. While advancements in ‘AI ~~radar’ are~~ radar’—which uses models to define functions rather than fixed algorithms—are enhancing robotics perception, experts note that humanoid robots still face hurdles regarding stability, battery life, and learning efficiency.

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