<div id="readability-page-1"><div><p>In 2026, for the first time, competition in the AI ​​field will no longer be merely a contest of model capabilities. It will evolve into a clash of deep paradigms: US vs. China, closed-source vs. open-source, super-capital vs. extreme efficiency, AI empire vs. AI industrialization. If you follow this industry daily, you'll notice an increasingly obvious change: The AI ​​world is splitting into two drastically different development paths. One is the US. OpenAI, Anthropic, and xAI are building an unprecedented AI infrastructure empire with massive funding, super data centers, and GPUs worldwide. On the other side is China. DeepSeek, Zhipu AI, Kimi, and MiniMax are breaking through in a different way: lower costs, higher engineering efficiency, a stronger open-source ecosystem, and faster localization adaptation. On May 8, 2026, a report by The Information brought the core players of this &#34;Chinese route&#34; to the forefront, making the world aware of a fundamental change. Why did DeepSeek's funding shake the global AI community? Reports indicate that DeepSeek is planning its first round of external funding, a staggering 50 billion yuan (approximately US$7.35 billion). Even more noteworthy is that its founder, Liang Wenfeng, may personally invest 20 billion yuan, accounting for 40% of the total funding. This company, which has always been unconventional, refusing to seek funding or rush into commercialization, has suddenly embarked on the path of capital investment. This in itself is a strong signal: for the first time, China has produced a truly globally influential star company in basic modeling. But more important than the 50 billion yuan valuation is DeepSeek's unique rise. Over the past year, it has almost defied all the growth logic of Silicon Valley AI companies. Looking back at OpenAI's path: massive funding → super GPU clusters → super data centers → Microsoft support → global capital drive. DeepSeek's path, on the other hand, is: no funding for a long time → extremely low training costs → engineering optimization first → large-scale open source → strengthening compatibility with domestic chips. It doesn't resemble a traditional AI startup; it's more like a &#34;technological efficiency monster.&#34; According to multiple media reports, DeepSeek's latest valuation has reached $45 billion to $50 billion, and the capital it has been in contact with includes the National AI Fund, state-owned assets, and semiconductor industry capital. This indicates that DeepSeek is transforming from a purely &#34;technology lab&#34; into a &#34;core member of China's national AI team.&#34; What truly deserves attention is not valuation, but rather the &#34;divergence of approaches.&#34; Many still understand AI competition as &#34;whose model is smarter.&#34; But now, an increasingly clear fact is that a fundamental divergence in approaches has emerged globally in AI. Let's first look at the US approach. Its core can be summarized as: super capital + AI empire. American AI companies are entering an extremely exaggerated stage of development, increasingly resembling &#34;digital infrastructure nations&#34; rather than &#34;tech companies.&#34; OpenAI, valued at $852 billion and recently raising $122 billion, backed by SoftBank, Microsoft, and NVIDIA, is pushing its &#34;Stargate&#34; super AI infrastructure plan, totaling $500 billion. Anthropic, with its valuation approaching $1 trillion, is aggressively expanding its Claude Code, Computer Use, and enterprise agent ecosystem with the support of Amazon and Google, and is beginning to integrate with Google TPU and AWS cloud. xAI, valued at $200 billion, is leveraging X (Twitter)'s real-time data, Grok Connectors, and Agent ecosystem to develop into an AI operating system. You'll find that the core characteristics of the US approach are very consistent: 1. Super Funding: AI has become a purely capital-intensive industry. 2. Supercomputing Power: Core competition revolves around GPUs, data centers, power, and cloud infrastructure. 3. Closed-source ecosystem: OpenAI and Anthropic are increasingly emphasizing proprietary models, corporate barriers, and platform control. 4. AI empire: Their goal is no longer &#34;training a model,&#34; but rather building a complete AI infrastructure. However, across the ocean, a radically different transformation is underway. The Chinese route: AI industrialization and ultimate efficiency. Chinese AI companies are taking a different path. The most significant characteristic of this approach is that it is &#34;efficiency-driven&#34; rather than &#34;capital-driven.&#34; We can summarize the core characteristics of the &#34;Chinese route&#34; as follows: 1. Greater emphasis on open source: DeepSeek's global influence largely stems from its successful open-source ecosystem. 2. Greater emphasis on cost: Chinese model companies excel not at &#34;burning more GPUs,&#34; but at &#34;achieving near-perfect results at significantly lower costs.&#34; 3. Greater emphasis on engineering optimization: This includes MoE (Hybrid Expert) architecture, inference optimization, scheduling optimization, model compression, etc. 4. Greater emphasis on domestic adaptation: Especially deep cooperation with domestic chips such as Huawei Ascend has become a key variable in China's AI roadmap. However, it should be noted that China's AI is not monolithic. DeepSeek and Zhipu AI have actually begun to represent two different directions. Many people easily confuse large Chinese model companies, but in reality: DeepSeek is more like an idealistic hybrid: It's somewhat like a combination of &#34;early OpenAI&#34; with &#34;Linux&#34; and &#34;Android.&#34; It represents technological revolution, open-source diffusion, extreme cost optimization, and a developer ecosystem. Its goal is to become the foundational model capability layer for global AI. Zhipu AI, on the other hand, is more like a pragmatic platform player: It's increasingly resembling a &#34;Chinese version of Anthropic.&#34; It places greater emphasis on enterprise agents, inference capabilities, a domestic ecosystem, and enterprise-level platforms. In particular, its GLM, AutoGLM, and Agent systems clearly point towards &#34;enterprise AI operating systemization.&#34; The coexistence of these two aspects constitutes a completely new landscape for AI in China. The global AI power map has changed; the next stage is the &#34;infrastructure war.&#34; This is crucial. In the past, most Chinese internet companies copied the American model. However, in the AI ​​era, for the first time, we have seen &#34;two completely different Chinese routes&#34;: the DeepSeek route (global developers, open source, technology diffusion, extremely low cost) and the Zhipu route (enterprise market, agent platform, domestic ecosystem, enterprise closed loop). This means that China's AI is beginning to form a true ecological stratification. Turning our attention back to the global map, the current landscape, based on valuations, is very clear: The greatest significance of this review is not that &#34;China now also has large model companies,&#34; but rather that China is beginning to produce players who can truly enter the core of the global AI arena. Many are still debating whether GPT-5, Claude 4, or DeepSeek-R2 is stronger. But what truly matters in the future may not be &#34;whose model is the strongest in a single aspect,&#34; but rather &#34;who can build a complete AI ecosystem loop.&#34; The next phase of competition will evolve into a full-blown &#34;AI infrastructure war.&#34; The true determinants will be control over the following areas: chips, cloud, data centers, agents, APIs, developer ecosystem, operating systems, enterprise workflows… This is because top AI companies are increasingly resembling &#34;digital nations.&#34; They are building computing power, constructing ecosystems, cultivating developer systems, laying payment/API networks, and weaving agent systems—essentially, they are vying for the right to define and dominate the next generation of digital infrastructure. In conclusion, China's real opportunity for AI may have just begun. For the past 20 years, the Chinese internet has been catching up with the United States. But in the AI ​​era, for the first time, a situation has emerged where &#34;different technological routes&#34; can develop in parallel. The US Route: Super capital, super GPUs, closed-source ecosystem, AI empire. The Chinese Route: Open source, extreme engineering optimization, localization, low cost, AI industrialization. Who will ultimately win? Nobody knows the answer now. But one thing is becoming increasingly clear: The next stage of AI competition is no longer just a competition of model capabilities, but a comprehensive competition of ecosystem, energy, chips, and industrial organization capabilities. DeepSeek's surge to a $50 billion valuation may well be the clarion call that truly heralds the beginning of a new era.</p></div></div>

DPSK

<p>DeepSeek's recent valuation of 50 billion yuan (approximately $7.35 billion) marks a significant shift in the AI landscape, highlighting a divergence between US and Chinese approaches. While US companies like OpenAI and Anthropic focus on massive funding and closed-source models, Chinese firms like DeepSeek prioritize efficiency, open-source ecosystems, and lower costs. DeepSeek's founder plans to invest 20 billion yuan, signaling a move from a technology lab to a key player in China's national AI strategy. This evolution underscores a fundamental change in global AI competition, emphasizing differing development paths.</p>

Deepseek's 50 billion rating: Chinese AI is starting to change.