According to www.scmp.com, Hong Kong has committed HK$6.84 billion (US$730 million) across multiple AI infrastructure initiatives, aiming to increase the city’s computing power by 36 times its current level by 2032.
Major funding allocations revealed
The Hong Kong government has deployed substantial public funds to accelerate AI development. According to the report, it allocated HK$2.84 billion (US$364 million) to establish a semiconductor centre, HK$3 billion for an AI subsidy scheme, and HK$1 billion to launch an advanced AI research and development institute.
The cumulative investment totals HK$6.84 billion, equivalent to approximately US$730 million. These figures reflect the scale of fiscal commitment—though still dwarfed by U.S. private-sector AI investment, which Goldman Sachs estimated at US$800 billion flowing into the sector by the end of 2026.
Data centre expansion at Sandy Ridge
In March 2026, the Hong Kong government granted 11 hectares of land at Sandy Ridge to a Hebei-based computing technology company to construct a large-scale data centre. This project is designed to deliver the foundational computing capacity required for next-generation AI applications in the city.
The facility is projected to boost Hong Kong’s total computing power by 36 times over its current baseline by 2032. However, the source notes that the differential between mainland Chinese and Hong Kong electricity tariffs has raised persistent concerns about the project’s commercial viability—a key operational constraint not addressed in initial feasibility assessments.
Strategic realism over global rivalry
Regina Ip, convenor of Hong Kong’s Executive Council and chairwoman of the New People’s Party, argues that Hong Kong should abandon unrealistic comparisons with tech hubs like Silicon Valley or Shenzhen. “The city is unlikely to outspend Silicon Valley or outscale Shenzhen. But it doesn’t need to,” she states.
“Hong Kong cannot be faulted for not working hard enough to catch up in the global artificial intelligence (AI) race.” — Regina Ip, Convenor of the Executive Council and Chairwoman of the New People’s Party
Her commentary underscores a broader policy recalibration: prioritizing practical adoption and niche strengths—such as financial services AI, regulatory sandboxing, and cross-border data governance—over attempts to replicate the capital-intensive, talent-concentrated models of U.S. or mainland Chinese AI ecosystems.
Contextual benchmarks and fiscal proportionality
While Hong Kong’s HK$6.84 billion AI infrastructure budget represents the largest coordinated public investment in the city’s technology history, it remains modest relative to global peers. The U.S. private sector alone is projected to invest US$800 billion in AI this year—more than 1,000 times Hong Kong’s total public allocation.
This disparity highlights structural realities: Hong Kong lacks domestic semiconductor manufacturing, faces constraints on land and energy, and operates under a distinct regulatory framework from mainland China. Its comparative advantage lies not in raw compute scale but in trusted data flows, common-law IP protection, and deep integration with global finance—factors that could support high-value AI applications in compliance, risk modeling, and trade finance.
Source: South China Morning Post
Compiled from international media by the SCI.AI editorial team.
