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Table of Contents
Editor's Note: Bias Check
After this paper was completed, we ran two separate bias checks using AI.
1) Check the sources cited in the research for the location of the publication or source, and for potential biases based on their funding sources, regions, or political affiliations.
Result: This document presents a mix of perspectives, though it leans toward a U.S. policy and financial framing, with some inclusion of China-favorable narratives.
2) Check for a noticeable bias in favor of China.
Result: While the report does not explicitly promote China, it downplays risks, omits negative aspects, and frames China’s technological progress in an overly favorable light. This isn’t outright propaganda, but it does lean toward an investment-friendly, China-positive narrative, omitting critical counterpoints that an objective analysis would include. For example, it ignores the fact that much of Chinese restrictions from investing outside of China, as well as major incidents like the Luckin Coffee accounting scandal (Zhu & Yu, 2022), Evergrande’s collapse and default on over $300 billion in liabilities (Jim & Yu, 2024), and ongoing U.S. sanctions and export controls on Chinese tech firms like Huawei and SMIC (Nellis, 2023). These examples highlight systemic risks in China’s corporate and tech environment.
If this were an investment report, it would be dangerously incomplete because it ignores significant red flags. If the goal is to persuade readers that China is outgrowing its need for Silicon Valley, the report is effective—but at the cost of cherry-picking data and avoiding inconvenient truths about frauds, failures, and the political constraints around technology development in China.
We did not update the research published here based on the Bias Checks. We will go into detail about the importance of human-in-loop editing and keeping an eye out for biases, in future posts.
For the purposes of this post, it's important to note that we want to demonstrate that it is possible to create cohesive long format research reports (5000+ words). Another key takeaway from this experiment is that we learned the extent to which incorporating checks for biases must be done in early stages, if the goal is to counterbalance the content of the paper itself; however, incorporating this bias check transparently allows us to uphold, without guilt, academic integrity consistent with the voice we seek to achieve.
Abstract
For much of the last two decades, Silicon Valley stood as the unchallenged nucleus of global technological innovation, attracting billions in foreign capital, much of it from China. Yet, in a shift that few would have foreseen a decade ago, Chinese venture capital (VC) investment in Silicon Valley has dramatically declined. This paper explores the deeper forces behind this retreat—economic pragmatism, technological self-sufficiency, disillusionment with the excesses of the Valley, and the broader tectonic shifts in global power.
The argument is not that Silicon Valley is failing, but that it no longer commands unquestioned reverence in an increasingly multipolar world. The decline of Chinese investment signals a recalibration, one that places China’s innovation ecosystem at the center of its own economic destiny rather than orbiting around Silicon Valley’s gravitational pull.
1. Economic and Investment Shifts
Declining Chinese VC Investment in Silicon Valley
Chinese venture capital (VC) investment in U.S. tech grew rapidly after the mid-2000s, peaking in the mid-2010s, but has sharply declined in recent years. According to Rhodium Group data, Chinese VC activity in the U.S. “increased rapidly after 2014 from a very low base but has stalled since 2018”, remaining a relatively small part of U.S. tech financing (Hanemann & Rosen, 2020). In fact, Chinese VC funding in U.S. startups hit a record $3 billion in 2018 (around 236 deals) as investors rushed to close deals before new U.S. regulations, but “since then, [it] has slowed to a trickle” due to heightened scrutiny (Somerville, 2019). A Reuters analysis noted that “deals involving Chinese… investors have virtually stopped” under these conditions (Somerville, 2019). By 2019, Chinese VC investment in the U.S. fell to $2.6 billion, reflecting not only U.S.-China political tensions and laws like FIRRMA (which expanded U.S. government oversight of foreign investments) but also turbulence in China’s own tech market (Hanemann & Rosen, 2020). Data from Preqin show a clear drop-off: venture deals in the U.S. involving at least one Chinese investor fell to 163 deals (worth $6.5B) in 2019, down from 236 deals ($10.8B) in 2018 (Good, 2020). This marked the end of a China-to-U.S. venture boom that had begun around 2014 (Good, 2020). The decline is attributed to multiple factors: stricter capital controls and outbound investment restrictions from Beijing, U.S. regulatory barriers, and a changing risk appetite amid the U.S.-China “tech cold war.” As one Chinese founder observed, it had been “too easy to get capital from China-backed venture capitalists” in Silicon Valley, but once “lots of Chinese investors withdrew from the U.S.,… U.S. investors decided not to invest, too,” in startups with China ties (Good, 2020). In short, both Chinese investors and American startups are re-calibrating, leading to a pullback of Chinese money from Silicon Valley.
Comparative Costs and Shifting Venture Priorities
One economic driver behind this shift is the changing cost-benefit calculus of investing in Silicon Valley versus in China. The cost of technology development in China can be significantly lower than in California, meaning capital goes further at home. For example, a Chinese AI startup called DeepSeek reportedly developed a cutting-edge large-language model for only about $5.5 million in two months, as a side project, whereas OpenAI’s comparable efforts have involved over $100 million in development costs (Jha, 2025). In terms of usage, DeepSeek’s AI system is 20–50× cheaper to run than OpenAI’s model (Jha, 2025). Such disparities highlight that Chinese entrepreneurs can achieve similar technological feats with far less funding – an enticing prospect for investors concerned with efficiency. Additionally, wages for engineers and the overall R&D expenses in China’s tech hubs (like Shenzhen or Hangzhou) have historically been lower than in Silicon Valley, allowing startups to iterate and scale more cost-effectively. This means Chinese institutions may see better returns investing in domestic ventures where their capital can build more for less. Indeed, Chinese VC markets have grown enormously on home turf; by 2017 China’s VC deal value was about 74% of the U.S.’s level (US$62B in China vs $84B in the U.S.) and was expected to continue growing faster (Lu, Chen, & Fu, 2018). The venture capital flows have also rebalanced, with American VC funds similarly cutting back investment in China recently (falling from nearly $20B in 2018 to $5B in 2019) (Hanemann & Rosen, 2020). In essence, both sides are investing more cautiously and often locally, as the economic winds shift. High development costs and soaring valuations in Silicon Valley, combined with abundant opportunities in China’s tech scene, have made Chinese investors less eager to chase deals abroad as they did in the 2010s.
2. Technological Self-Sufficiency
China no longer needs to look outward for technological breakthroughs—it is making them itself. Deliberate state planning, vast domestic investment, and a highly competitive startup culture have allowed China to close the innovation gap. In AI, semiconductors, and fintech, Chinese firms are no longer playing catch-up; they are leading. The reliance on Silicon Valley as a source of intellectual property or investment opportunities has sharply declined as China builds its own self-sustaining tech ecosystem.
Advancements in AI and Indigenous Innovation
A major reason Chinese institutions have cooled on Silicon Valley is China’s own rapid tech advancement and push for self-sufficiency. Over the past decade, China has evolved from a technology “imitator” to an innovator, often rivaling or surpassing U.S. firms in key areas like mobile applications, e-commerce, and artificial intelligence. Chinese AI researchers and companies are now at the cutting edge: “Chinese AI models are rapidly closing the performance gap with their U.S. counterparts”, notes an analysis of China’s AI strategy, with new systems from Chinese labs “rivaling those of leading American companies like OpenAI” (Brooks, 2025). For instance, the aforementioned DeepSeek AI model has demonstrated performance in reasoning and code generation on par with OpenAI’s best Brooks, 2025). Such successes are not isolated—China’s overall output of AI research papers and patents now exceeds that of the U.S., and Chinese tech firms like Baidu, Alibaba, and Huawei rank among global leaders in AI R&D. This technological coming-of-age means Chinese investors can find world-class innovation at home. As one tech expert put it, “China is going to eat Silicon Valley’s lunch” in areas like AI and 5G, given the combination of talent, data, and government support in China (Baram, 2019).
Homegrown Equivalents to Silicon Valley Platforms
In many cases, Chinese companies have built domestic platforms that overtake Silicon Valley’s offerings, reducing the need to invest in U.S. counterparts. WeChat, for example, evolved from a simple messaging app in 2011 into a “super app” ecosystem with over a billion users, integrating social media, mobile payments, e-commerce, gaming, and more in one platform. There is no exact U.S. equivalent that combines so many services; American consumers use a patchwork of apps (Facebook, WhatsApp, PayPal, Uber, etc.) to match WeChat’s functionality (Huang, 2025). Likewise, Alibaba grew from an e-commerce imitator into a conglomerate that not only competes with Amazon in online retail but also pioneered fintech (Ant Group’s Alipay) and cloud computing in China. By 2019, Alibaba’s Singles’ Day sale was generating higher online sales than Black Friday and Cyber Monday combined, underscoring its dominance. These Chinese tech giants have often replicated Silicon Valley innovations and then innovated further for local market needs – what works in China can sometimes even outpace U.S. versions. As one study noted, Baidu was developed as a Chinese version of Google, started by Chinese returnees who brought back Silicon Valley know-how, but it thrived behind China’s protected internet space and now leads in areas like AI-driven language processing (Fannin, 2010). With thriving domestic champions in internet, AI, and consumer tech, Chinese venture capitalists have less incentive to seek out Silicon Valley startups when similar or better opportunities exist within China’s own tech ecosystem.
Government Strategy: “Made in China 2025” and Semiconductor Independence
Underpinning this technological self-sufficiency is strong government policy support. Beijing has explicitly prioritized reducing reliance on foreign (especially U.S.) technology. The “Made in China 2025” initiative, launched in 2015, is a strategic plan to upgrade China’s industrial base and achieve dominance in high-tech sectors. Its core objective is advancing “indigenous innovation” so that China becomes a “manufacturing superpower” in industries like advanced IT, robotics, aerospace, biopharma, and new-energy vehicles (Kania, 2019). This policy reflects China’s ambition for national rejuvenation through tech leadership, and it has provoked U.S. anxiety by explicitly aiming to rival American technological leadership (Kania, 2019). One key area is semiconductors: China has historically depended on imported chips, but recent U.S. export bans accelerated China’s drive for chip independence. The government launched a National Integrated Circuit Investment Fund (often called the “Big Fund”), pouring tens of billions of dollars into domestic semiconductor firms. Ever since a 2013 directive made semiconductors the top industrial priority, China set aside $150 billion to build a fully “closed-loop” semiconductor ecosystem domestically (Ezell, 2024). President Xi Jinping has called for a nationwide effort to “win the battle” in core technologies like microchips (Ong, 2024). These policies are yielding results: China’s own chip designers and fabs (SMIC, Huawei’s HiSilicon, etc.) are making progress despite sanctions. In AI, the government’s support and central planning have been instrumental. As investor Ray Dalio observes, China’s AI strategy is marked by heavy state investment and centralized planning, in contrast to the more private-sector-driven approach in the U.S. (Brooks, 2025). This includes building national AI labs and massive data centers. And to overcome U.S. export controls on chips, China is “accelerating efforts towards self-sufficiency in AI components”, from indigenous chip fabrication to alternative computing methods (Brooks, 2025).
China’s technological ecosystem has reached a level of maturity where it no longer looks to Silicon Valley for direction—it competes with it outright. What was once a process of imitation has evolved into head-to-head rivalry, with firms like DeepSeek challenging OpenAI, Alibaba rivaling Amazon, and WeChat offering a super-app model that Silicon Valley has yet to replicate. This transformation is not incidental; it is the product of deliberate policy, sustained investment, and a national strategy geared toward technological self-reliance. State-backed initiatives—ranging from direct subsidies to strategically guided investment funds—have ensured that China’s tech sector is not merely keeping pace but, in many cases, leading. Given this trajectory, Chinese institutions increasingly favor domestic ventures that align with national priorities rather than funneling capital into Silicon Valley startups that may duplicate efforts or face geopolitical headwinds. The logic is clear: in a world where China is building its own technological dominance, there is little incentive to bankroll an innovation ecosystem that is no longer indispensable.
3. Loss of Trust in Silicon Valley
Impact of High-Profile Scandals (WeWork, Theranos)
Another factor dampening Chinese enthusiasm for Silicon Valley is a growing loss of trust stemming from Silicon Valley’s governance and hype failures. The late 2010s exposed several fraudulent or overhyped ventures in the U.S. startup scene, shaking investor confidence globally. The case of Theranos, a blood-testing startup, is a cautionary tale: once a $9-billion “unicorn,” it was revealed in 2015–2018 as a massive fraud. John Carreyrou, the investigative journalist who uncovered it, called Theranos’ fall “one of the most epic failures in corporate governance in the annals of American capitalism” (Carreyrou, 2018). Venture capitalists had been seduced by the charismatic founder and revolutionary claims, but the lack of proper due diligence led to hundreds of millions of dollars wasted. Likewise, WeWork – while not outright fraud – became emblematic of Silicon Valley’s excesses and credulity. WeWork’s $47B valuation implosion in 2019, amid revelations of an unsustainable business and erratic leadership, startled investors worldwide (including major investors from Japan and the Middle East).
According to industry veterans, WeWork’s dramatic collapse “recalibrated” Silicon Valley, forcing VCs to reevaluate their approach (Subotovsky & Murphy, 2020). “Investors are much more aware of what can go wrong at startups and [are] more likely to focus on profitability rather than growth at all costs,” noted Santi Subotovsky of Emergence Capital after WeWork’s fall (Subotovsky & Murphy, 2020). In other words, the era of blindly chasing the next unicorn has been tempered by hard lessons. For Chinese investors watching from abroad, these episodes highlight the risks of Silicon Valley’s high-flying culture. The fraudulent failure of Theranos and the near-collapse of WeWork (along with other controversies like the Uber leadership scandals and the implosion of FTX in crypto) have made foreign investors more cautious about Silicon Valley’s governance standards. The “move fast and break things” ethos can sometimes break investors’ trust and capital. Compared to a decade ago, Silicon Valley may now appear less a sure bet and more a minefield of potential fakes and flops, causing Chinese funds to pause and scrutinize more.
Cultural Differences in Venture Ecosystems
There are also deeper cultural and structural differences between U.S. and Chinese venture ecosystems that can lead to misaligned expectations and trust issues. Silicon Valley’s culture often celebrates bold visionaries and tolerates failure as a badge of honor, sometimes at the expense of oversight. As one venture capitalist pointed out during the Theranos trial, the Valley still operates on a “culture of trust” – meaning investors often trust founders’ claims and are eager to get in on a hot deal, even if diligence is light (McCluskey, 2021). This trust can be misplaced, as seen with Theranos, where prominent investors were duped by false promises. In contrast, Chinese investors traditionally have been viewed as somewhat more conservative or focused on concrete metrics (though this has changed with the rise of aggressive tech investing in China). Additionally, Chinese business culture places a strong emphasis on guanxi (relationships) and gradual trust-building. Some Chinese institutions may perceive Silicon Valley’s freewheeling style – where a persuasive pitch can secure millions – as alarmingly risky or even naïve. A meta-analysis by Cambridge researchers found that differences in legal systems and cultural attitudes do affect venture capital outcomes internationally (Zhou, 2015). In China’s ecosystem, entrepreneurs often expect heavy involvement from investors (sometimes state-driven) and must navigate government oversight, which can instill a different discipline. U.S. startups, by contrast, cherish autonomy and speed, which can sometimes manifest as lack of transparency (e.g., Theranos’s secretive culture). This gap can lead to mistrust: Chinese investors might worry that U.S. founders are too opaque or prone to hype, while U.S. founders might feel Chinese investors are too hands-on or aligned with government agendas.
OpenAI and Tech Ethics Concerns
Even the current darlings of Silicon Valley, such as OpenAI, have encountered controversies that might give investors pause. OpenAI garnered immense hype (and investment) for its leadership in generative AI (ChatGPT), but it has faced criticism over transparency and governance. In late 2023, internal conflicts at OpenAI’s board spilled into public view, and more recently OpenAI was accused of manipulating AI benchmark tests to inflate its performance claims (Morales, 2025). Specifically, reports revealed that OpenAI had secretly funded a challenging math dataset (FrontierMath) and had access to most of the test problems, yet touted its AI’s high score without disclosing that advantage (Morales, 2025). Such incidents “raise questions about the legitimacy of OpenAI’s performance claims” (Morales, 2025) and feed into a broader skepticism about whether Silicon Valley’s AI leaders are operating with full integrity. In China, where the government closely monitors AI development, these OpenAI controversies are noted with interest. Chinese commentators have pointed out the irony that OpenAI – originally founded as a non-profit champion of openness – became a closed, profit-driven firm. Meanwhile, Chinese AI firms like DeepSeek are positioning themselves as more open or cost-effective alternatives, implicitly arguing that Silicon Valley’s leaders can’t be blindly trusted. Moreover, ethical lapses and biases in Western AI (such as privacy issues with Facebook or bias in algorithms) have been heavily publicized, possibly eroding some of the lustre that once drew foreign investors to U.S. tech companies.
The perception of Silicon Valley as an unrivaled engine of innovation has taken a hit. A string of high-profile failures—ranging from outright fraud to reckless growth strategies—has cast doubt on the sustainability of its venture ecosystem. Meta-analytical perspectives suggest that these issues are not isolated missteps but stem from deeper cultural norms that define the U.S. startup scene—norms that differ markedly from the more measured, long-term orientation of Chinese investors. The result is growing skepticism. Where Chinese capital once chased the Valley’s disruptive promise, it now seeks investments with greater oversight and tangible returns—often within China itself. As Rebecca Fannin, a longtime observer of China’s tech landscape, explains, “national security threats and competition with China for future technology leadership are stopping the flow of China investment in [U.S.] tech companies”, a trend further exacerbated by trust issues and geopolitical caution (Fannin, 2020). The once-fluid pipeline of Chinese capital into Silicon Valley has dried up—not just due to policy shifts, but because the Valley’s risks now outweigh its rewards.
4. Global Power Shift and Strategic Considerations
Investment is never just about returns—it is a reflection of economic power. The decline in Chinese investment in Silicon Valley mirrors the broader realignment of global influence. China is no longer content to fund foreign innovation; it is positioning itself as the dominant technological and financial power. Silicon Valley, once the unquestioned leader, now faces competition not just from rival companies, but from rival ecosystems. The balance of power is shifting, and capital is following suit.
Shifting Economic Center of Gravity
Underlying the above trends is the macro-level shift in global economic power from the U.S. towards China. Prominent research by hedge fund manager Ray Dalio on historical cycles of empires suggests that the world is entering a new era where China rises to rival or surpass the United States. Dalio’s analysis of long-term indicators (education, innovation, output, financial power) finds that China’s share of global wealth and power has been steadily climbing as America’s has plateaued. In fact, Dalio observes that we are witnessing “a new era of global power shifts, with the rise of China and the potential decline of the United States as the world’s dominant economic power.” (Dalio, 2021) This shift follows a broader 500-year pattern of wealth and innovation moving among nations (Dalio, 2021). For investors, this macro perspective cannot be ignored: many Chinese institutions see the 21st century as the “China century,” and are aligning their strategies accordingly. Thus, declining interest in Silicon Valley is partly a reflection of a belief that future growth and innovation leadership may lie closer to Beijing or Shenzhen than to Palo Alto. For instance, China is already the largest market for electric vehicles and 5G infrastructure, and is on track to become the world’s biggest economy (by GDP) in the coming decade. This power shift makes Chinese investors more focused on domestic and regional opportunities, positioning themselves for China’s ascendancy. Even Western commentators acknowledge this trend. As Dalio notes, the convergence of China’s growth and U.S. challenges (debt, social unrest, etc.) is creating a moment where China can substantially close the gap in comprehensive national power (Dalio, 2021). In practical terms, this means capital flows are reorienting: rather than capital outflow seeking Western assets (as in the 2000s), China is retaining more capital to fuel its own innovations and also attracting investment into China from other nations.
AI as a Geopolitical Game-Changer
Technology – especially artificial intelligence – is at the heart of the global power race. There is a growing consensus among world leaders that leadership in AI and information technology will translate to economic and military supremacy. A stark illustration of this comes from Russian President Vladimir Putin, who remarked in 2017 that “Artificial intelligence is the future… Whoever becomes the leader in this sphere will become the ruler of the world.” (Allen, 2017). This comment, startling in its frankness, is cited in policy discussions in Washington and Beijing alike. The Center for a New American Security (CNAS) notes that Putin’s view is “increasingly shared by national security leaders in the United States, China and around the world.” (Allen, 2017) U.S. tech CEOs and Chinese officials both recognize AI as a strategic priority, fueling an “AI arms race.” Elon Musk even warned that competition for AI superiority could be a cause of future conflict (Allen, 2017). In this context, China’s heavy investment in AI is not just about business – it’s seen as part of a race to define the next global superpower. Information control plays a crucial role here: AI thrives on data, and the country that can accumulate and leverage the most data has an advantage. China’s population of 1.4 billion and its pervasive digital platforms generate an unprecedented volume of data. Moreover, Chinese consumers and authorities have until now been relatively permissive about data usage compared to Western norms. “The fact that most [Chinese] users are willing to trade off some degree of privacy for convenience makes data acquisition even easier,” observes Kai-Fu Lee, former head of Google China (Lee, 2018). This has allowed Chinese AI companies to train algorithms on massive datasets (from facial recognition to purchase histories) that might be off-limits in the West due to privacy laws. Additionally, the Chinese government’s tight control over information – such as the Great Firewall that limits foreign tech services – has created a protected digital environment where domestic firms flourish and where data on Chinese users stays in country. While from a free-speech perspective this information control is contentious, from a strategic standpoint it means China can marshal data as a national resource more effectively. For example, Chinese AI start-ups working on smart city surveillance or healthcare diagnostics can partner with government programs to access millions of data points, something much harder under U.S. or EU regulations.
Determining Future Economic Leadership
Control over advanced technology and information flows is becoming a deciding factor in economic leadership. In the past, industrial era metrics like oil reserves or manufacturing output were key; in the digital era, algorithmic power and data may be just as critical. As one Harvard Belfer Center report argued, AI breakthroughs could be as consequential as the “invention of aircraft or nuclear weapons” in shifting the balance of power (Allen, 2017). China’s leadership knows this – hence the national plans to dominate AI by 2030 and to be largely self-sufficient in tech supply chains. Beijing’s playbook combines long-term investments, public-private cooperation, and yes, information control (censorship, propaganda management, and data localization) to create an ecosystem where Chinese tech can thrive relatively unimpeded by foreign competition or internal dissent. We are already seeing how this affects global markets: Chinese companies like TikTok (ByteDance) have become globally influential, shaping cultural trends and accumulating international user data, which some in the U.S. view as a national security concern. This illustrates how information technology and control are intertwined with geopolitical influence. Renowned investor Ray Dalio has pointed out that throughout history, the leading powers were those who led in the important technologies of the time (from the Dutch in seafaring, to Britain in the industrial revolution, to the U.S. in the information age) (Dalio, 2021). Now, AI and quantum computing might determine who leads the 21st-century economy. If China can take the lead in AI – an area where it already has enormous scale and momentum – it bolsters its bid to overtake the U.S. in overall economic might.
The shifting global power dynamic has reinforced China’s inward investment focus. There was a time when Silicon Valley represented an indispensable gateway to cutting-edge technology, and Chinese capital followed accordingly. But that calculation has changed. Increasingly, China is no longer chasing the innovations of others—it is setting the pace. National strategy and economic pragmatism dictate that capital is best deployed where it fuels domestic advances in AI, biotech, and next-generation industries. Meanwhile, heightened U.S. regulatory scrutiny—from export controls to investment restrictions—has further disincentivized cross-border deals, making Silicon Valley less hospitable to foreign capital.
This decoupling comes at a cost. Even U.S. analysts acknowledge that shutting out Chinese investment risks severing critical ties to an innovation network that is now flourishing in cities like Shenzhen. By shutting out Chinese capital, American startups might lose “access to irreplaceable links in global innovation networks—links that are now often located in Chinese cities like Shenzhen” (Sheehan, 2018). The geography of technological progress is no longer centered in one place; instead, it is dispersing. Developments in fintech, drone technology, and super-app ecosystems are increasingly originating from within China’s own borders. From the vantage point of a Chinese investor, Silicon Valley has lost its monopoly on the future. Betting on domestic innovation is no longer just a strategic decision—it is an affirmation that the center of technological gravity is shifting eastward.
Conclusion
The retreat of Chinese investors from Silicon Valley is neither sudden nor temporary. It is part of a structural shift that reflects economic pragmatism, technological maturation, and geopolitical reality. Where Silicon Valley once represented the pinnacle of innovation, it now faces mounting competition from a China that is no longer a follower, but a rival.
Rising costs, an increasingly self-sufficient tech sector, and diminished trust in U.S. startup culture have made Silicon Valley less attractive to Chinese investors. Meanwhile, China is consolidating its own innovation ecosystem, channeling capital into domestic AI, fintech, and hardware sectors that promise higher returns with fewer regulatory obstacles.
This divergence is not just about investment—it is about the remapping of global influence. As Ray Dalio and other macroeconomic thinkers have noted, the world is undergoing a profound realignment. The days when Silicon Valley stood alone at the forefront of technological progress are over. Chinese capital will continue to flow—but increasingly, it will flow toward Beijing, Shanghai, and Shenzhen. The global order is shifting, and Silicon Valley is no longer the only game in town.
Sources and References
Allen, G. C. (2017, September 5). Putin and Musk are right: Whoever masters AI will run the world. Center for a New American Security. https://www.cnas.org/publications/commentary/putin-and-musk-are-right-whoever-masters-ai-will-run-the-world
Allen argues that mastering artificial intelligence is critical to global leadership, underscoring the motivation behind China’s domestic tech investments (especially in AI) to secure a strategic edge.
Baram, M. (2019, September 5). The inside story of China’s meteoric rise from tech imitator to innovator. Fast Company. https://www.fastcompany.com/90398557/the-inside-story-of-chinas-meteoric-rise-from-tech-imitator-to-innovator
This interview details how China transformed from copying Western tech to becoming an innovator, illustrating the country’s dramatic pivot to nurturing its own tech giants instead of relying on Silicon Valley.
Brooks, H. (2025, February 1). Ray Dalio: China’s AI rise – ahead in applications, behind in chips. AInvest. https://www.ainvest.com/news/ray-dalio-china-s-ai-rise-ahead-in-applications-behind-in-chips-25021010e4f02ed9309d203b/
According to this piece, billionaire Ray Dalio observes that China leads in AI application development but lags in semiconductor chips, underscoring China’s drive to invest heavily in homegrown chip technology to close the gap.
Carreyrou, J. (2018). Bad blood: Secrets and lies in a Silicon Valley startup. Knopf.
Carreyrou’s exposé of the Theranos scandal reveals Silicon Valley’s culture of hype and risk, providing context for why Chinese investors might turn toward more reliable domestic tech ventures instead of volatile Valley startups.
Dalio, R. (2021). Principles for dealing with the changing world order: Why nations succeed and fail. Avid Reader Press.
Dalio examines historical cycles of national rise and decline, suggesting that countries like China ascend by strengthening internal capabilities—such as investing in homegrown technology—to secure their place in the changing world order.
Ezell, S. (2024, August 19). How innovative is China in semiconductors? Information Technology & Innovation Foundation. https://itif.org/publications/2024/08/19/how-innovative-is-china-in-semiconductors/
This ITIF analysis finds that while China is making progress in chip design and manufacturing, it remains several years behind industry leaders, emphasizing the ongoing push for indigenous semiconductor innovation as part of China’s domestic tech strategy.
Fannin, R. (2010, June 30). China’s Information Control Practices and the Implications for the United States. Testimony before the U.S.-China Economic and Security Review Commission.
This testimony examines China's information control practices and their implications for the United States, focusing on issues related to Internet freedom and corporate governance.
Fannin, R. (2020, January 31). Chinese venture capitalists draw back Silicon Valley investments. CNBC. https://www.cnbc.com/2020/01/31/chinese-venture-capitalists-draw-back-silicon-valley-investments.html
Fannin reports that Chinese venture capitalists have significantly pulled back on funding Silicon Valley startups, reflecting a strategic shift as China’s investors redirect their focus to nurturing technology companies at home amid geopolitical and regulatory headwinds.
Good, K. (2020, February 12). Chinese venture capitalists are retreating from Silicon Valley’s start-up scene [Blog post]. Bartell Powell LLP. https://www.bartellpowell.com/2020/02/chinese-venture-capitalists-are-retreating-from-silicon-valleys-start-up-scene/
Good observes a marked retreat of Chinese venture capital from Silicon Valley’s start-up scene, noting that heightened U.S. scrutiny and shifting priorities have prompted these investors to concentrate on domestic Chinese tech sectors instead.
Hanemann, T., & Rosen, D. (2020, May 11). Two-way street 2020 update: US–China investment trends. Rhodium Group & National Committee on U.S.-China Relations. https://www.ncuscr.org/event/us-china-investment-trend/
Hanemann and Rosen provide a data-driven analysis of U.S.–China capital flows, highlighting a steep decline in Chinese investment in U.S. tech (Silicon Valley) and demonstrating how China is pivoting to strengthen its own technology industries in response to bilateral tensions.
Huang, J. (2025, January 21). Why U.S. tech companies struggle to replicate China’s WeChat “super app” model. CNBC Africa. https://www.cnbcafrica.com/2025/why-u-s-tech-companies-struggle-to-replicate-chinas-wechat-super-app-model/
This report explains that WeChat-style “super apps” thrive in China’s tech ecosystem due to unique market conditions and integration, a model that U.S. companies haven’t replicated—highlighting fundamental differences that have led China to forge its own tech path.
Jha, V. (2025, January 31). DeepSeek vs OpenAI (2025): A comparative analysis. AiTechtonic. https://aitechtonic.com/deepseek-vs-openai/
This article compares a Chinese-developed AI model (DeepSeek) with OpenAI’s offerings, highlighting DeepSeek’s cost-effective, homegrown innovation as an example of China’s shift toward domestic tech leadership.
Jim, C., & Yu, X. (2024, January 29). China Evergrande ordered to liquidate in landmark moment for crisis-hit sector. Reuters. https://www.reuters.com/business/embattled-china-evergrande-back-court-liquidation-hearing-2024-01-28/
Jim and Xie report on the court-ordered liquidation of China Evergrande, underscoring domestic economic challenges that form the backdrop for Beijing’s push toward stability—partly by boosting growth in domestic tech sectors as other industries falter.
Kania, E. B. (2019, February 1). Made in China 2025, explained. The Diplomat. https://thediplomat.com/2019/02/made-in-china-2025-explained/
Kania explicates China’s “Made in China 2025” strategy, which aggressively promotes domestic high-tech industries, providing crucial background for China’s reduced reliance on Silicon Valley and greater emphasis on homegrown innovation.
Lee, K.-F. (2018, June 14). Kai-Fu Lee’s perspectives on two global leaders in artificial intelligence: China and the United States [Interview transcript]. McKinsey Global Institute. https://www.mckinsey.com/featured-insights/artificial-intelligence/kai-fu-lees-perspectives-on-two-global-leaders-in-artificial-intelligence-china-and-the-united-states
Lee discusses the AI race between China and the U.S., highlighting China’s rapid progress and state-supported AI initiatives—insights that illustrate why China is heavily investing in its own tech ecosystem to rival Silicon Valley.
Lu, A., Chen, J., & Fu, F. (2018, April 20). China’s venture capital (VC): Bigger than Silicon Valley’s? INSEAD Global Private Equity Initiative. https://www.insead.edu/sites/default/files/assets/dept/centres/gpei/docs/insead-student-china-venture-capital-apr-2018.pdf
This report argues that China’s venture capital market—boosted by government support, private sector vitality, and huge consumer demand—was on track to overtake Silicon Valley, signaling a major shift toward Chinese domestic tech investment.
McCluskey, M. (2021). Silicon Valley investors haven’t let the Theranos scandal change the way they do business. Time. https://time.com/6092628/theranos-elizabeth-holmes-investors/
This article notes that even as Theranos’s fraud came to light, many Silicon Valley venture capitalists continued their trust-based investing approach—an enduring mindset that may encourage Chinese investors to refocus on more transparent domestic tech ventures.
Morales, J. (2025, January 24). OpenAI accused of manipulating benchmark results as Chinese models close AI performance gap. CCN Tech News. https://www.ccn.com/news/openai-manipulating-chinese-rivals-close-gap/
Morales notes that Chinese AI models are quickly closing the performance gap with OpenAI’s, underscoring China’s growing prowess in domestic AI development and the narrowing tech advantage of Silicon Valley firms.
Nellis, S. (2023, September 6). US lawmaker calls for ending Huawei, SMIC exports after chip breakthrough. Reuters. https://www.reuters.com/technology/us-lawmaker-calls-ending-huawei-smic-exports-after-chip-breakthrough-2023-09-06/
Nellis reports on U.S. lawmakers urging a ban on tech exports to Huawei and SMIC after a Chinese chip breakthrough, illustrating how American restrictions are prompting China to invest even more in self-sufficient semiconductor and tech capabilities at home.
Ong, K. (2024, June 28). China’s defiant chip strategy. Foreign Policy Research Institute. https://www.fpri.org/article/2024/06/chinas-defiant-chip-strategy/
This analysis argues that despite U.S. sanctions, China is aggressively pursuing self-sufficiency in semiconductors—a defiant strategy that underlines its commitment to building domestic tech capabilities and reducing reliance on Silicon Valley-origin technology.
Sheehan, M. (2018, April 26). Does Chinese venture capital in Silicon Valley threaten US tech advantage? MacroPolo. https://macropolo.org/analysis/chinese-vc-silicon-valley-threaten-us-tech-advantage/
Sheehan analyzes the influx of Chinese venture capital in Silicon Valley and questions its impact on U.S. tech leadership, a discussion that foreshadows both U.S. security concerns and China’s eventual pullback to focus on bolstering its domestic tech advantage.
Somerville, H. (2019, January 8). Chinese investors flee Silicon Valley as Trump tightens scrutiny. Reuters. https://www.reuters.com/article/us-venture-china-regulation-insight-idUSKCN1P10CB
Somerville explains that intensified U.S. government scrutiny under the Trump administration drove Chinese investors to pull out of Silicon Valley deals, accelerating a trend in which Chinese capital is redirected into domestic technology enterprises.
Subotovsky, S., & Murphy, M. (2020). Comments in: WeWork’s fall has ‘taken an edge off the craziness’. Business Insider (as cited in TechKee, January 21, 2020). https://www.techkee.com/two-veteran-vcs-say-weworks-fall-has-recalibrated-silicon-valley-and-may-lead-to-a-major-shake-up-in-the-venture-world/
Subotovsky and Murphy observe that WeWork’s collapse tempered the “craziness” of Silicon Valley’s investment scene, a recalibration in the venture world that coincides with Chinese investors becoming more cautious and refocusing on opportunities in their home market.
Zhou, M. (2015, December 14). Know the differences: A snapshot of Chinese and US venture capital provisions. China Business Law Journal. https://law.asia/know-the-differences-a-snapshot-of-chinese-and-us-venture-capital-provisions/
This comparative legal overview outlines key differences between Chinese and U.S. venture capital deal terms, underscoring distinct domestic practices in China’s tech financing environment versus Silicon Valley’s, and why Chinese tech investment has developed on its own terms.
Zhu, J., & Yu, S. (2022, August 9). China’s Luckin plans store expansion, remains committed to U.S. market. Reuters. https://www.reuters.com/business/retail-consumer/chinas-luckin-plans-store-expansion-remains-committed-us-market-2022-08-09/
Zhu and Yu report on Luckin Coffee’s post-scandal expansion within China while maintaining a U.S. market presence, exemplifying how Chinese companies are prioritizing domestic growth but still engaging with the U.S. market in a more measured way amid shifting investment priorities.
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