Chinese Tech Stocks Rally: Nasdaq Golden Dragon Index Jumps 6.23% on AI Adoption and Policy Optimism

U.S.-Listed Chinese Stocks Stage a Strong Rebound: Dual-Engine Value Re-rating Fueled by Policy Expectations and AI Commercialization

This week, the Nasdaq Golden Dragon China Index surged 6.23%—its largest weekly gain in nearly three months. Major ETFs tracking U.S.-listed Chinese stocks—KraneShares CSI China Internet ETF (KWEB) and Invesco China Technology ETF (CQQQ)—have posted positive returns for three consecutive weeks. Even more telling are individual stock performances: Pony.ai (NASDAQ: PONY), a leader in autonomous driving, jumped 6.52% in a single day; Kingsoft Cloud (NASDAQ: KC) rose 5.73% on the same day. This structural rally is no isolated event—it reflects the powerful convergence of two key drivers: (1) a marginal easing in U.S.–China relations and diminished spillover pressure from geopolitical risks, and (2) accelerated commercialization of AI technologies in China. Underpinning this rally is a systemic recalibration by global capital of the intrinsic value of Chinese tech enterprises.

Geopolitical Risk “Recedes”: De-escalation in U.S.–Iran Dynamics Eases Spillover Anxiety

The macro backdrop for this rebound is the temporary de-escalation in Middle East tensions—a development delivering tangible geopolitical risk relief. Although former President Trump asserted on April 17 that “Iran will not acquire nuclear weapons” and warned of renewed military action if a ceasefire agreement were not reached by April 22, several concurrent, pragmatic developments significantly alleviated market concerns about conflict escalation—and its potential spillover into U.S.–China relations. On April 18, Iran’s Civil Aviation Organization announced the partial reopening of airspace and multiple airports, signaling a gradual return to normalcy for Iran’s civil aviation system. On the same day, the U.S. Department of the Treasury granted a temporary license permitting the delivery, transportation, and sale of Russian crude oil already loaded onto vessels—an ostensibly minor energy policy adjustment that nonetheless signals Washington’s strategic intent to seek “controllable buffers” amid overlapping crises. Most critically, the USS Ford carrier strike group redeployed to the Red Sea: while superficially reinforcing U.S. military presence, this move in fact reflects a tactical pivot—from unpredictable escalation toward “predictable deterrence.” Though seemingly disparate, these signals coalesced into a clear market consensus: U.S.–Iran negotiations have entered a substantive phase, and the probability of large-scale conflict spilling over into the Asia-Pacific region—and triggering intensified U.S. technology restrictions against China—has materially declined. For U.S.-listed Chinese stocks—highly sensitive to policy uncertainty—this has triggered a rapid repricing of geopolitical risk premiums.

Accelerating AI Commercialization: A Strategic Shift from Technical Narrative to Revenue Validation

If geopolitical easing provided a “safe harbor,” then breakthroughs in AI commercialization constitute the core engine powering this rally. Pony.ai’s and Kingsoft Cloud’s outperformance is no coincidence. Pony.ai announced in mid-April that its L4-level autonomous driving system has secured full unmanned commercial operation licenses in Guangzhou, Shenzhen, and other cities—and signed a deep-volume production partnership with GAC Group, with plans to equip over 100,000 intelligent connected vehicles this year. Meanwhile, Kingsoft Cloud disclosed that its proprietary large-model inference platform, “KCEP,” has achieved large-scale deployment across financial and government cloud scenarios; average revenue per user (ARPU) rose 37% year-on-year, and AI-related revenue now accounts for over 42% of total revenue for the first time. This marks a decisive shift in investor focus—from asking “Can it be built?” (technical feasibility) to “Can it be sold?” (commercial sustainability). Notably, this trend resonates across markets: U.S.-based AI chip architecture firm Cerebras Systems successfully listed on Nasdaq on April 19, surging 24.6% on its debut—their core narrative being “delivering extreme computational efficiency for large-model training.” As Cerebras garners investor enthusiasm as an upstream compute infrastructure provider, Pony.ai and Kingsoft Cloud exemplify China’s engineering prowess at the AI application and cloud services layers. Together, they delineate an indispensable “Chinese node” within the global AI value chain. International capital is increasingly recognizing that China’s comparative advantage in AI lies not only in massive data volumes and dense real-world use cases—but also in its systematic engineering capability to convert cutting-edge technologies into quantifiable, recurring revenue.

Spillover Effects Emerge: Valuation Rebalancing Opportunities for Hong Kong Tech & A-Share Compute Chains

The strong rebound in U.S.-listed Chinese stocks is transmitting to domestic markets through three distinct channels:
First, sentiment transmission. As KWEB and CQQQ serve as primary instruments for global investors allocating to Chinese tech equities, their sustained strength has markedly improved foreign investors’ risk appetite toward Chinese assets. The Hang Seng Tech Index rose 4.8% this week, with heavyweight stocks—including Tencent and Meituan—receiving consecutive net inflows from northbound funds.
Second, valuation anchoring. When U.S.-listed AI names like Pony.ai (PS ratio: 8.2x) and Kingsoft Cloud (PS ratio: 2.1x) command higher price-to-sales multiples, relative valuation gaps widen for their A-share peers—such as Sugon (AI servers), Cambricon (AI chips), and Wondershare (AI applications). Institutional investor survey frequency for these names increased 42% month-on-month.
Third, industrial mapping. Kingsoft Cloud’s emphasis on “cloud–AI integration” is accelerating public- and enterprise-sector IT spending shifts toward AI—directly benefiting A-share IDC service providers (e.g., Aofei Data), optical module manufacturers (e.g., Eoptolink), and compute leasing platforms. Historical patterns show that U.S.-listed Chinese stock valuation recoveries typically lead the Hang Seng Tech Index by ~1–2 weeks and core A-share compute stocks by ~2–3 weeks. At present, the Hang Seng Tech Index trades at a PB ratio near the 30th percentile of its five-year range, while the A-share computer sector’s overall forward P/E stands at 42.6x—below its three-year average. A window for valuation rebalancing is clearly open.

Conclusion: A Paradigm Shift—from “Defensive Allocation” to “Growth-Based Re-rating”

At its core, this rebound in U.S.-listed Chinese stocks represents a value-discovery process jointly driven by external risk mitigation and internal growth momentum realization. It signals the market’s departure from the past two years’ defensive trading logic—dominated singularly by “policy uncertainty”—and its transition toward a growth-oriented re-rating paradigm anchored in “certainty of technological implementation.” When Pony.ai’s driverless vehicles navigate city streets, and when Kingsoft Cloud’s large models execute real-time credit risk decisions within banks’ core systems, these tangible commercial outcomes carry far greater persuasive power than any policy document. For investors, capitalizing on this rally hinges on looking beyond short-term volatility to identify true industry leaders—those that have already established closed loops linking product, customer, and revenue in the AI commercialization race. After all, in the final reckoning of the global AI competition, what ultimately determines a company’s market-cap ceiling is never conceptual hype—but rather the technical depth and commercial resilience embedded in every genuine order.