The global technology sector is witnessing an extraordinary financial contradiction. Across East Asia, newly public artificial intelligence model developers and semiconductor suppliers are reporting spectacular, near-unprecedented price surges. In Hong Kong, some newly listed artificial intelligence champions have seen their stock valuations skyrocket by nearly 1,000 percent, minting multi-billion-dollar fortunes for their founders in a matter of months. Yet, despite these eye-popping individual successes, the broader Chinese stock market remains stubbornly stagnant, with major technology indices failing to sustain a meaningful, long-term recovery.
This dramatic divergence has exposed a deep, structural divide within the Chinese tech sector. On one side of the ledger, speculative retail participation and government policy priorities—including the high-profile, state-backed national “AI+” initiative—are driving intense, highly volatile trading rallies in a select group of technology companies. On the other side of the ledger, institutional asset managers and global hedge funds are backing away from the market. They are highly skeptical of the astronomical valuations, pointing to massive operating losses, the complete absence of software monetization, and persistent domestic deflationary pressures as reasons to remain on the sidelines.
For investors navigating this volatile market, the current landscape represents a classic, highly dangerous technology bubble. While the physical hardware suppliers and specialized niche developers are generating real-world revenue gains, the major foundation model creators are burning through capital at an unsustainable rate. Until the domestic economy successfully transitions away from its current deflationary cycle and businesses demonstrate a real willingness to pay for advanced digital services, these massive, speculative stock surges will likely remain isolated anomalies, unable to spark a sustainable recovery across the broader market.
The Sobering Reality Behind the Thousand-Percent Tech Rallies
The primary driver of the recent excitement in the Chinese technology market has been the spectacular performance of several newly listed artificial intelligence champions. The standout story of the year belongs to Knowledge Atlas Technology, better known in the tech sector as Zhipu. Since its public listing on the Hong Kong Stock Exchange in January, the company’s shares have soared by nearly 1,000 percent.
This blistering rally propelled the company’s valuation into the multi-billion-dollar tier, amassing an extraordinary $22.4 billion personal fortune for its 50-year-old chairman, Liu Debing, and making him the wealthiest billionaire minted by the country’s recent technology boom. The company’s chief scientist, Tsinghua University computer science professor Tang Jie, also entered the billionaire ranks with a personal net worth estimated at $5 billion.
However, the spectacular rise of Zhipu’s stock price stands in stark, highly concerning contrast to the company’s actual financial performance. While retail investors have piled into the stock, driving massive trading volumes, the underlying business continues to operate with severe, structural losses. In 2025, Zhipu posted a staggering net loss of $683 million on a meager $77.3 million in revenue, proving that the company is currently burning through capital at an alarming rate to fund its advanced model training and research.
The Massive Cash Burn of the Model Developers
The financial distress is not confined to Zhipu. Other high-profile Chinese model developers are experiencing an identical, highly unsustainable cash-burn cycle. MiniMax, another major developer of large language models that went public in Hong Kong, has seen its stock price double since its debut on the back of intense retail demand.
Yet, the company’s internal financial audits reveal a sobering reality. MiniMax posted a massive operating loss of $1.87 billion on just $79 million in revenue last year, demonstrating that the cost of training, running, and maintaining these advanced models far exceeds their current commercial utility.
These independent startups do not possess the massive, highly profitable legacy businesses like digital advertising or enterprise cloud computing that allow Western giants like Google, Microsoft, and Meta to subsidize their massive AI research.
Every single GPU hour they run, and every single API token they serve, directly drains their limited capital reserves.
As the cost of staying competitive at the technological frontier continues to rise, these companies are trapped in an existential race to achieve commercial scale before their cash reserves are entirely depleted.
The Regulatory Arbitrage of Chapter 18C Listing Rules
The ability of these heavily loss-making technology startups to go public and raise billions of dollars from the retail market is the direct result of a major, highly significant regulatory change in Hong Kong. In 2023, the Hong Kong Stock Exchange introduced Chapter 18C, a modernized set of listing rules designed specifically to attract pre-profit “specialist technology companies” to the exchange.
Under Chapter 18C, advanced technology companies operating in sectors like artificial intelligence, robotics, and clean energy can legally file for an initial public offering without meeting the exchange’s traditional, highly restrictive profitability requirements.
While this policy successfully revitalized Hong Kong’s stagnant IPO market—with six major AI and chip companies listing in the first month of the year alone, raising a combined $3.6 billion—it has also shifted the immense financial risk of early-stage tech development directly onto the shoulders of public retail investors, who are buying these stocks at highly inflated valuations based on speculative future growth promises.
The Hardware Bottleneck: Why the Real AI Winners are Hidden on Mainland Bourses
While the high-profile model developers are grabbing the headlines and suffering from massive cash burn, the real, cash-generative winners of the Chinese artificial intelligence boom remain largely hidden from international investors. These are the midstream hardware suppliers, semiconductor manufacturers, and optical module developers that sit at the very beginning of the technology supply chain.
Driven by Beijing’s massive, state-sponsored push to achieve absolute technological self-sufficiency, China’s domestic computing infrastructure is expanding at an unprecedented pace. The physical demand for advanced servers, storage systems, and networking components has triggered a massive, highly profitable manufacturing boom, creating a stark contrast with the struggling software sector.
The Doubling of Integrated Circuit Export Values
The physical scale of this hardware boom is clearly visible in the country’s export data. China’s integrated circuit export value rose by more than 100 percent year-on-year, marking the first time in history that the monthly export value of Chinese microchips has doubled.
This historic increase was driven almost entirely by surging international and domestic demand for AI servers, high-performance computing components, and advanced memory modules.
This hardware boom is generating real, high-margin profits for established manufacturers. Unlike the pre-profit model developers, these companies are selling physical, non-speculative hardware to a highly desperate market.
Every new data center built in the country represents a guaranteed, high-volume order for their products, allowing these hardware suppliers to expand their revenues, protect their operating margins, and accumulate substantial cash reserves.
The Index Exclusion Trap: Why Global Funds Cannot Buy the Real Winners
However, international investors who want to capture the benefits of this hardware boom face a major, highly frustrating structural barrier. The vast majority of these high-performing Chinese hardware, semiconductor, and robotics companies are listed exclusively on mainland Chinese bourses, such as the Shanghai STAR Market or the Shenzhen Stock Exchange.
These mainland-listed stocks, commonly known as A-shares, are not included in major, widely tracked international indices like the MSCI China Index or the Hang Seng Tech Index.
Because most global institutional investors and exchange-traded funds are legally mandated to only purchase stocks that belong to these standard indices, they are physically blocked from buying the real, profitable winners of the Chinese AI boom.
Instead, they are trapped holding underperforming, legacy Chinese internet giants like Alibaba and Tencent, which continue to struggle under the weight of weak consumer spending and regulatory scrutiny, creating a massive performance gap between the domestic tech sector and the international portfolios tracking it.
The Monetization Crisis: Deflation and the “Willingness to Pay” Problem
The most significant, long-term threat to the sustainability of the Chinese technology sector is the country’s ongoing macroeconomic crisis. While the government has declared artificial intelligence to be a national policy priority, the real economy is currently grappling with a severe, highly persistent deflationary cycle.
China’s consumer price index has hovered near zero or in negative territory for multiple months, while producer price indices continue to slide.
This deflationary environment has destroyed the pricing power of domestic corporations, forcing them into brutal price wars and restructuring programs just to survive, and leaving them with virtually no financial capacity to purchase expensive, next-generation software services.
The Deflationary Grip on Corporate Pricing Power
The impact of deflation on corporate IT budgets is immediate and severe. When a manufacturing company or a logistics firm sees its own product prices falling every month, it must implement strict cost-cutting measures to protect its profit margins.
The first expenses to be cut are always the experimental, non-essential software programs.
This dynamic has created a severe “willingness to pay” problem for Chinese AI developers. While enterprises are highly enthusiastic about testing free trials of models like Claude or DeepSeek, they are highly reluctant to sign long-term, expensive enterprise contracts.
Without a domestic corporate sector that is willing and able to pay premium subscription fees for digital services, Chinese software developers cannot monetize their models, trapping them in a low-margin utility model that cannot sustain their multi-billion-dollar valuations.
The National “AI+” Policy and the Threat of Industrial Overcapacity
To offset this weak domestic demand, the Chinese central government has launched the national “AI+” initiative. Promoted heavily during the recent Two Sessions political gatherings in Beijing, the policy pushes traditional, mature industries—such as agriculture, furniture manufacturing, and toy-making—to integrate artificial intelligence and automated robotics into their daily operations to improve efficiency.
However, many economists warn that this state-driven industrial policy is inadvertently worsening the country’s economic imbalances. By providing massive, state-sponsored subsidies and cheap loans to tech developers and automated manufacturers, the policy is creating severe industrial overcapacity.
When too many subsidized companies build the same technology simultaneously, it triggers a brutal price war that destroys the profitability of the entire sector, as seen in the domestic electric vehicle market.
By pushing supply far ahead of actual consumer demand, the state-driven model risks turning the artificial intelligence sector into another high-debt, low-margin industry, undermining the country’s long-term economic recovery.
The Capital Flight: Institutional Investors Head for the Exit
The combination of severe cash burn, weak domestic monetization, and rising geopolitical trade tensions has triggered a massive, highly visible capital flight from Chinese technology assets. While retail investors continue to participate in localized speculative rallies, global institutional investors are systematically cutting their exposure.
The scale of this capital flight is historic. During a recent multi-week period, international and domestic institutional investors sold a record-breaking 25 billion yuan, equivalent to roughly $3.7 billion, worth of Hong Kong-listed equities.
This represents the largest weekly capital outflow on record, reflecting a deep, systemic dissatisfaction with the lack of pure AI exposure in traditional indices and growing anxiety over the long-term sustainability of the tech sector.
This capital flight has been accelerated by the rapid decline of private venture capital funding inside China. Last year, venture capital investments in domestic artificial intelligence startups fell to just $9.3 billion, down sharply from a peak of $24.9 billion in 2021.
With private funding drying up, speculative startups have been forced to go public prematurely through Hong Kong’s relaxed Chapter 18C listing rules, shifting the financial risk of their high-burn operations onto the public markets and increasing the overall volatility of the stock exchange.
The modern technology sector is learning a painful but necessary lesson: technological innovation alone is insufficient to support a sustainable, market-wide equity rally. While the engineers and scientists at companies like Zhipu and MiniMax have successfully built world-class, highly efficient artificial intelligence models that rival the best designs in Silicon Valley, they cannot escape the structural realities of their domestic macroeconomy.
As long as the country remains trapped in a persistent deflationary cycle, and as long as domestic businesses lack the pricing power and willingness to pay for digital services, the astronomical profit gains reported by individual AI pioneers will likely fail to spark a broader market recovery.
To secure its high-tech future, China must move beyond state-sponsored supply-side subsidies and implement the deep, structural reforms required to revive consumer demand and protect corporate pricing power, ensuring that the incredible innovations of its tech sector can finally translate into stable, long-term economic prosperity for the entire nation.
