Chinese artificial intelligence hardware suppliers are expected to continue pursuing initial public offerings in Hong Kong despite growing concerns about AI valuations, according to a senior Citi investment banker. The outlook highlights a potential divide between Hong Kong's active fundraising market and increasing global scrutiny of AI-related investments.
Simon Yuan, Citi's head of China investment banking, said prospective Chinese AI supply-chain listings could withstand recent valuation declines affecting data-center companies, particularly in the United States. Speaking to Reuters on October 17, 2026, during International Monetary Fund meetings in Bangkok, Yuan pointed to investor demand and the global expansion of AI infrastructure as important sources of support.
His assessment comes as Hong Kong records exceptionally strong IPO fundraising, even while investors elsewhere question whether the financial returns from AI infrastructure can justify high valuations and substantial capital requirements.
Why Citi Expects Chinese AI IPO Demand to Hold Up
Yuan identified Hong Kong's diversified investor base as an important advantage. According to his assessment, demand for prospective Chinese listings is divided approximately evenly between mainland Chinese and international investors, reducing reliance on a single source of capital.
He also highlighted increasing southbound investment from mainland China into Hong Kong. Such flows, including investment through Stock Connect arrangements, provide an additional potential source of demand for Hong Kong-listed securities. However, access to mainland capital does not guarantee that individual offerings will attract sufficient investment at their proposed prices.
Chinese hardware manufacturers have also benefited from global spending on AI infrastructure, Yuan said, citing higher sales volumes and selling prices. He noted that some suppliers have established manufacturing operations outside mainland China to serve international customers and reduce exposure to geopolitical friction.
The broader demand for AI computing equipment has influenced semiconductor businesses beyond mainland China. For additional industry context, TSMC's recent profit growth illustrates the financial significance of AI-related chip demand, although its business and market position differ from those of prospective Chinese IPO candidates.
Nevertheless, stronger demand for hardware does not automatically translate into higher profitability. Manufacturing costs, international trade restrictions, competitive pricing and capital expenditure can all affect how much of that demand becomes sustainable earnings.
What Hong Kong's IPO Numbers Actually Show
Official statistics provide substantial evidence of Hong Kong's recent capital-raising strength. According to Hong Kong Exchanges and Clearing, IPO fundraising reached HK$388.0 billion during the first nine months of 2026, compared with HK$188.3 billion during the equivalent period in 2025. That represents a year-over-year increase of 106.1%.
The exchange reported 118 newly listed companies during January through September, compared with 69 a year earlier. Its 2026 total includes two transfers from the GEM market to the Main Board, which helps explain why other industry reports use a slightly different listing count.
In its October 6 review of mainland Chinese and Hong Kong IPO markets, KPMG recorded 116 Hong Kong IPO listings. It found that 38 A+H listings, involving companies accessing both mainland and Hong Kong equity markets, contributed nearly 70% of the city's IPO proceeds.
Technology companies were also significant participants. KPMG reported that businesses operating in high-technology sectors, including AI, semiconductors and robotics, accounted for more than half of total IPO proceeds. Within that broader market, 19 Specialist Technology Companies listed under Chapter 18C raised HK$36.2 billion.
These figures demonstrate substantial investor participation in technology-related fundraising, but they do not measure AI supply-chain IPOs exclusively. The A+H, high-technology and specialist-listing categories can also overlap and should not be added together.
KPMG identified more than 600 active IPO applicants and suggested that annual Hong Kong fundraising could reach HK$500 billion in 2026. Both figures require careful interpretation: applications are not completed listings, and the year-end fundraising projection remains a forecast.
Why Global AI Valuation Pressure Still Matters
Hong Kong's strong fundraising record does not make its IPO market immune to changing international investment conditions.
In an October 15 Reuters report on AI infrastructure financing, several planned listings linked to data-center businesses had been postponed or withdrawn amid market volatility and rising borrowing costs. Investors were placing greater emphasis on financial sustainability, debt exposure and the credibility of future revenue projections.
Those setbacks involved businesses and markets that differ from Chinese hardware suppliers seeking Hong Kong listings. They therefore do not establish that Hong Kong's AI IPO pipeline has stalled. They do, however, illustrate the wider financing pressures confronting companies associated with rapid AI infrastructure expansion.
Yuan acknowledged that a broader reversal in the U.S. AI investment cycle could affect Hong Kong as well.
For prospective issuers, the distinction between investor interest and successful fundraising is critical. A company may attract substantial attention but still need to lower its offering valuation, change its fundraising target or postpone a listing if investors become less willing to pay for projected growth.
The strength of Hong Kong's 2026 IPO statistics describes capital already raised. It cannot establish the pricing or eventual performance of offerings that have yet to reach the market.
What Investors Will Watch in 2027
Citi also expects the focus of Hong Kong's AI-related equity fundraising to evolve in 2027. Yuan suggested that attention could move beyond hardware manufacturers toward Chinese developers of AI models and applications.
That potential transition would place greater emphasis on whether software-oriented businesses can turn technological capabilities and user demand into consistent revenue and profits.
Yuan said such companies would need demonstrably viable business models, strong growth and evidence of profitability to attract investors. His comments suggest that commercial performance, rather than exposure to the AI industry alone, could become increasingly important in evaluating prospective listings.
The direction of Hong Kong's IPO market will consequently depend on several measurable developments: whether companies continue progressing from applications to completed offerings, how new listings are priced, whether demand remains broad across investor groups, and whether AI businesses can demonstrate sustainable financial results.
For now, Hong Kong's completed fundraising provides evidence of a strong market, while Citi's expectations for future Chinese AI listings remain conditional on investor confidence and the economics of the companies seeking capital.
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