In the high-stakes arena of artificial intelligence, where trillions of dollars hang in the balance, a subtle yet profound divergence is emerging between the world's two tech superpowers. Kinger Lau, Goldman Sachs' head of China equity strategy, has spotlighted this contrast in a recent analysis, asserting that China's emphasis on deploying AI in everyday applications - rather than the U.S.-centric obsession with sheer computational muscle - positions Chinese firms for superior short-term monetization.
As global markets grapple with AI's transformative potential, Lau's perspective underscores why savvy investors are increasingly eyeing Beijing's tech ecosystem for undervalued growth.
At its core, the U.S. strategy revolves around building the foundational infrastructure for AI dominance. American giants like Nvidia and AMD pour resources into advanced semiconductors and expansive data centers, fueling a compute arms race that has propelled Nvidia's market value to over $3.5 trillion by late 2025.
This focus has driven explosive gains: the U.S. controls roughly 75% of global AI computing resources, enabling breakthroughs in large language models and generative tools. However, this hardware-heavy approach has inflated valuations to nosebleed levels, with AI-related spending projected to exceed $200 billion annually in the U.S. alone this year. While it lays the groundwork for long-term leaps, such as pursuing artificial general intelligence (AGI), it risks overhyping infrastructure before widespread profitability materializes.
China, by contrast, is laser-focused on "AI for the people" - integrating intelligent systems into tangible sectors like healthcare, e-commerce, and manufacturing. Companies such as Baidu and SenseTime are rolling out AI-driven diagnostics that analyze medical images with 95% accuracy, outpacing traditional methods, and smart logistics platforms that optimize supply chains in real time, reducing delivery times by up to 30%.
This pragmatic bent stems from Beijing's policy push, including the 2025 AI Action Plan, which allocates over $50 billion toward application development. As a result, Chinese AI adoption in consumer apps has surged: by mid-2025, over 800 million users engaged with AI-enhanced services daily, from personalized shopping recommendations on Alibaba's Taobao to predictive maintenance in Huawei's industrial IoT solutions.
Lau notes this hands-on strategy instills investor confidence, as it translates hype into immediate revenue streams - think subscription models for AI tutoring apps that have already captured 40% of China's K-12 education market.
This divergence isn't just philosophical; it's reflected starkly in market valuations. Chinese AI and tech leaders trade at a fraction of their American counterparts' multiples.
The ten largest Chinese tech firms - Tencent, Alibaba, BYD, and others - boast a combined market capitalization of approximately $2.5 trillion as of November 2025, dwarfed by the $25 trillion aggregate for U.S. peers like Apple, Microsoft, and Google.
That's a tenfold gap, with Chinese stocks averaging forward price-to-earnings ratios of 15-20x, versus 35-50x for the Magnificent Seven in the U.S. Far from a bubble, China's tech sector remains grounded: these companies represent just 15% of the broader CSI 300 index's market cap, compared to U.S. tech titans accounting for nearly 40% of the S&P 500.
This disparity signals room for re-rating as earnings catch up, especially amid China's stabilizing economy, where GDP growth is forecasted at 4.8% for 2026.
Lau highlights another tailwind: China's AI investment cycle trails the U.S. by about 18 months, creating a runway for accelerated expansion. While America raced ahead with foundational models in 2023-2024, China is now entering its "application boom" phase.
Venture funding in Chinese AI startups hit $15 billion in the first half of 2025, up 60% year-over-year, targeting sectors like autonomous vehicles - where firms like XPeng have deployed over 100,000 robotaxis in urban fleets - and precision agriculture, boosting crop yields by 25% via AI-optimized irrigation.
This lag means Chinese firms can leapfrog pitfalls observed in the U.S., such as regulatory scrutiny over data privacy, while capitalizing on mature ecosystems. Bullish sentiment persists in Chinese equities, with the Hang Seng Tech Index up 25% year-to-date, though Lau cautions that momentum will moderate as multiple expansion gives way to profit recovery. Indeed, aggregate earnings for top Chinese tech names are projected to rise 12% in 2026, driven by cost efficiencies from AI automation.
Adding fuel to this fire is China's aggressive global outreach. While U.S. tech behemoths derive about 30% of revenues from international markets, Chinese counterparts hover at 15%—a figure poised for rapid ascent. Tencent's gaming arm, for instance, now pulls in 40% of its $10 billion quarterly revenue from overseas titles like PUBG Mobile, while Alibaba's cloud division has inked deals in Southeast Asia and Latin America, serving 2 million enterprise clients worldwide.
This underpenetrated frontier offers a multiplier: as tariffs ease and Belt and Road initiatives deepen tech ties, analysts estimate overseas sales could double by 2028, unlocking $500 billion in untapped potential.
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For global investors, once wary of geopolitical headwinds like U.S.-China trade frictions, the calculus is shifting. Surveys from Stanford's Human-Centered AI Institute in 2025 reveal Chinese stakeholders as the world's most optimistic about AI's societal impact, with 78% viewing it as a net positive - higher than the U.S.'s 62%. This enthusiasm, coupled with Beijing's resilient innovation pipeline, is drawing fresh capital: foreign inflows into Chinese A-shares topped $40 billion in the third quarter alone.
As Lau puts it, the AI narrative is far from over in China - it's just getting started. In a world where compute alone won't cut it, the nation mastering AI's real-world alchemy may well claim the next chapter of economic supremacy. For those bold enough to look beyond the headlines, the opportunities are as vast as they are undervalued.
Author: Slava Vasipenok
Founder and CEO of QUASA (quasa.io) — the world's first remote work platform with payments in cryptocurrency.
Innovative entrepreneur with over 20 years of experience in IT, fintech, and blockchain. Specializes in decentralized solutions for freelancing, helping to overcome the barriers of traditional finance, especially in developing regions.
