Hong Kong badly lags peers in Greater Bay Area AI supply chains

Ranking ninth means Hong Kong was near the bottom of the index category measuring how strongly cities benefit from rising demand for AI supply chains. It was not a ranking of the entire economy. Instead, it focused on the ability of local industries to connect with advanced and high-tech manufacturing linked to AI hardware.

The contrast is striking. Hong Kong recorded the fastest overall growth among the 11 cities, expanding 5.1 per cent across six industries. Yet Shenzhen, Guangzhou and Dongguan led the AI supply-chain category. Mainland cities have built expertise in highly specialized parts of production, including new materials, semiconductors and energy storage.

The ranking suggests Hong Kong’s economic strengths do not automatically translate into AI manufacturing strength. It performs better as a financial, trade and logistics hub. To gain more from AI demand, Hong Kong would need stronger links with specialized manufacturing segments across the Greater Bay Area, while preserving its existing international advantages.

An AI supply chain is the connected group of businesses that supplies the materials, components, equipment and supporting systems needed to produce AI hardware. It matters because AI demand does not benefit only software or finished devices. It also creates demand for many specialized industrial activities behind those products.

The article identifies three hardware-related areas: new materials, semiconductors and energy storage. New-materials businesses provide specialized substances used in manufacturing. Semiconductor companies make chips and related components. Energy-storage businesses support the power needs of advanced electronic systems. Together, these sectors form important links before AI hardware reaches customers.

The index shows why this network matters to the Greater Bay Area. Shenzhen, Guangzhou and Dongguan ranked highest because enterprises there have focused on narrow, specialized supply-chain segments. Hong Kong ranked ninth, indicating that its companies are less deeply involved in these manufacturing links than several mainland neighbours.

The Greater Bay Area is a large economic region made up of Hong Kong, Macau and nine cities in Guangdong province. It covers about 56,000 square kilometres, which the article describes as 50 times Hong Kong’s size. More than 86 million people live there, giving the region a huge workforce and consumer base.

The area contains 11 cities in total. They are Hong Kong, Macau, Guangzhou, Shenzhen, Zhuhai, Foshan, Huizhou, Dongguan, Zhongshan, Jiangmen and Zhaoqing. Its nominal GDP exceeded 13 trillion yuan, or US$1.95 trillion, in 2022, up from about 12.6 trillion yuan in 2021.

This scale helps explain the region’s importance. The bay area is larger and more populous than the New York, Tokyo and San Francisco bay areas. Its size also allows cities to develop different economic roles, from Hong Kong’s finance and logistics strengths to mainland cities’ specialized manufacturing capabilities.

Shenzhen, Guangzhou and Dongguan took the top three positions for benefiting from rising AI supply-chain demand. Their lead reflects more than general economic size. The report links it to enterprises that have concentrated on highly specialized and narrowly defined supply-chain segments.

These cities support advanced and high-tech manufacturing through industries such as new materials, semiconductors and energy storage. Those fields are identified as parts of the AI hardware supply chain. Specialization allows companies to focus deeply on particular production steps rather than trying to cover the entire chain.

Their performance shows how AI demand can strengthen existing industrial networks. Hong Kong ranked ninth, while these three mainland cities were at the top. The result suggests that cities with established manufacturing capabilities are better positioned to capture the industrial benefits of expanding AI hardware demand within the Greater Bay Area.

Lagging in AI manufacturing can limit Hong Kong’s direct participation in one of the region’s fastest-growing industrial opportunities. The index measures how cities benefit when rising AI supply-chain demand supports advanced and high-tech manufacturing. A low ranking therefore points to weaker connections with those production networks.

The article highlights the types of activity Hong Kong may capture less strongly: new materials, semiconductors and energy storage. These are components of the AI hardware supply chain. Shenzhen, Guangzhou and Dongguan ranked first, second and third because enterprises there have focused on specialized parts of the chain.

The article does not list specific losses for Hong Kong. It does show a possible missed opportunity: the city leads in finance, trade and logistics, but ranks ninth in this manufacturing-related category. Stronger connections with mainland industrial networks could help Hong Kong share more fully in future AI supply-chain growth.

Hong Kong’s economic role has developed around connecting markets rather than producing every specialized industrial component. Under the 2019 blueprint, it was expected to remain an international hub for finance, trade, transport and aviation while building closer mainland ties. The index reflects that profile.

Hong Kong ranked first in financial services, supported by strength in investment products and policy support. It also ranked first in trade and logistics because of its enduring position as an international trade and aviation hub. By contrast, the report says mainland enterprises have long concentrated on narrowly defined supply-chain segments.

That difference helps explain the rankings. Hong Kong has strong services and global connections, while Shenzhen, Guangzhou and Dongguan have deeper specialized manufacturing networks. These roles can complement each other. Hong Kong can provide finance, logistics and international access, while neighbouring cities supply industrial capabilities linked to AI hardware.

Modern AI hardware depends on several connected industrial layers rather than a single product. New materials provide specialized physical inputs for manufacturing. Semiconductors supply the chips and electronic components that process and transmit information. Energy-storage systems help provide and manage the power that advanced electronic equipment requires.

The mechanism is sequential and complementary. Materials enable components to be made. Semiconductor components perform computing and other electronic functions. Energy-storage systems support reliable operation by storing energy for use when needed. A weakness in any link can affect the broader hardware network, although the article does not measure individual shortages.

The Greater Bay Area index groups these fields within the AI hardware supply chain. Shenzhen, Guangzhou and Dongguan benefit from enterprises focused on such specialized segments. Hong Kong’s ninth-place ranking indicates less participation in these manufacturing activities, even though its finance, trade and logistics sectors remain strong.