#为什么是中国# #WhyChina# The Global Logic of China's Economic Growth in the First Half of 2026: A 4.7% GDP Increase 2026年上半年GDP增长4.7%：中国经济增长的全球逻辑 According to the latest semi-annual report, China's gross domestic product (GDP) reached 69.6 trillion yuan, representing a year-on-year increase of 4.7% at constant prices, in line with the annual growth target. Against a backdrop of intertwined international complexities and volatilities, China's economic performance is commendable. Yet, a closer look at the data reveals that the logic underpinning China's economic growth is being reshaped. (I) At the Industry Level, Notable Highlights Emerge: First, new quality productive forces are being cultivated and strengthened at an accelerated pace.** In the first half of the year, industrial production grew robustly. The value-added output of the equipment manufacturing sector increased by 9.3% year-on-year, and that of high-tech manufacturing grew by 13.3%, both outpacing the overall growth rate of industrial output above a designated scale. This underscores a clear trend toward a high-end, intelligent, green, and integrated industrial structure. Looking at specific products, the output of 3D printing equipment, lithium-ion batteries, industrial robots, and other products emblematic of new quality productive forces surged. The average daily token call volume has reached hundreds of trillions, showcasing the vitality and potential of the digital and intelligent economies. Second, new growth drivers are accelerating to take on a leading role. Preliminary estimates suggest that new growth drivers—encompassing high-end manufacturing, the digital economy, and modern services—contributed over 40% to economic growth in the first half of the year. The economy's distinct shift toward a higher quality and more optimized structure is evident, and this overall trend is accelerating. For instance, industries related to artificial intelligence, such as integrated circuit manufacturing and intelligent vehicle equipment manufacturing, have all maintained high growth rates exceeding 30%, vividly illustrating the pace of China's industrial upgrading. Third, confidence on the investment front is on the rise. In the first half of the year, investment in high-tech industries grew by 4.6% year-on-year. Notably, investment in the manufacturing of aircraft, spacecraft, and equipment, computer and office equipment manufacturing, and information services grew by 23.3%, 8.1%, and 15.5%, respectively. Investment structure best reflects market expectations. The increasing "new economy content" in investments signals an acceleration in the replacement of old growth drivers with new ones. Investment in intellectual property products grew by 9.4%, indicating that enterprises are placing greater emphasis on R&D and innovation. This suggests that technological advancement is not simply about capacity expansion but about qualitative change driven by innovation. (II) Observing a Major Economy Requires Looking Beyond the Immediate Figures to the Long-term Trajectory. Behind the "new economy content" of the semi-annual report lies China's ongoing transformation from a global manufacturing hub to a global center of innovation. At the 17th Annual Meeting of the New Champions (Summer Davos), observers noted a new phenomenon: a host of unicorn companies are heading to China. They are establishing R&D centers, regional headquarters, and deeply integrating into China's innovation and industrial chains—shifting from "produced in China" to "created in China." So, why China? Economist Justin Yifu Lin, in his book *Demystifying the Chinese Economy, touched upon the theory of the "speed of technological change." He argues that the essence of the industrial revolution is not just the application of new technologies, but more fundamentally, the ever-accelerating pace of technological change. Since the mid-18th century, starting with the steam engine reshaping the textile industry, the snowball of technological change has grown, rapidly sweeping through industries like chemicals and automobiles, ultimately redrawing the geographical map of great power competition. Looking at China today, the trajectory of accelerating technological change is equally clear. A leading enterprise can drive an entire industry, which in turn can boost a whole region. These burgeoning industrial clusters, growing from saplings to forests, not only enhance production efficiency and invigorate market vitality but also effectively improve development quality and resilience. For example, specialized and sophisticated "little giant" enterprises above a designated scale in Beijing, through deep cultivation of innovation chains, supply chain collaboration, and international expansion, have become "connecting points" and "accelerators" for the dual circulation strategy. More importantly, emerging industrial clusters possess powerful spillover effects. The rapid rise of new energy vehicles is not only reshaping the automotive industry but also driving transformations in chips, software, and energy networks, allowing more sectors to gain value from efficiency improvements. The swift advancements in AI and biomedicine are sparking a "gentle qualitative change" in people's livelihoods, significantly enhancing the sense of fulfillment and well-being through smarter, more affordable products and more livable environments. (III) Looking from the First Half to the Full Year, China's Development Momentum Remains Positive. Of course, during this critical period of transitioning between old and new growth drivers, China's economy still faces lingering issues and new challenges. Some core areas are still grappling with "bottleneck" technologies, certain high-tech industries face external risks of "decoupling" and supply chain disruptions, and "involution"-style competition affects the new energy market ecosystem. However, most of these are issues arising from development and transition, and they can be addressed with effort. The supporting conditions and fundamental trends for long-term economic improvement remain unchanged. China's economic journey toward a newer, higher-quality model is itself a process of encountering new problems and solving them along the way. By maintaining confidence, proceeding steadily, and balancing both qualitative improvements and quantitative growth, China's industries are poised to be brimming with dynamism, and the Chinese economy will continue to advance steadily and sustainably. #China# #Jiangxi# #JiangxiEconomy# #世界经济看中国# #赣出新精彩#

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新版的 GLM 5.2 基本稳稳站住全球开源模型第一的位置了，作为开源模型可以排到全球前三。上一个这么牛逼的还是 DeepSeek，给 AI 圈带去一点震撼。Claude 4.6 之后提升就没那么大了，4.6 也是 AI 编程的可用线。前端时间巨头们开始对 AI 投入算总账，几十亿美金的 AI 账单，现在用开源的GLM 5.2自己部署，就能立即省下高额的 AI 账单，Claude 的收入端可能要大受影响了。 中美顶尖 AI 的差距大概也就是半年左右，另一方面也说明大模型的护城河没那么深，半年时间的差距并非不可逾越，Anthropic 的万亿估值显然是挺虚的。Claude 年初最辉煌的时候，总有人会说 Claude 多牛逼，迭代速度多强，我去看了一下 zcode 的迭代速度基本是一天一更，这次zcode3.0+GLM5.2 真的和 codex 使用起来没什么太大差距了。 还有中国为什么一直追不上，主要是因为算力资源的限制，假如算力限制放开怕是已经 4:6 开了。可怜的智谱算力一直都不足，难以想象要是有充足的算力且模型是闭源的情况下，难以想象收入会高到什么程度。 The new version of GLM 5.2 basically stand firmly in the first position of the global open source model, as an open source model can be ranked in the world's top three. The last one was DeepSeek, bringing a little shock to the AI circle. After Claude 4.6, the promotion was not so big, and 4.6 was also an available line for AI programming. The front-end time giants are starting to take a general ledger of AI investment, billions of dollars in AI bills, and now deploying themselves with the open source GLM 5.2 can immediately save the high AI bills, and Claude's revenue side may be greatly affected. The gap between the top AI of China and the United States is about half a year, on the other hand, it also shows that the moat of the big model is not so deep, the gap in half a year is not insurmountable, the Anthropic trillion valuation is obviously quite empty. When Claude was at its most brilliant at the beginning of the year, some people would always say how awesome Claude was and how fast the iteration speed was. I went to see that the iteration speed of zcode was basically one change every day. This time zcode3.0 GLM5.2 was really not much different from codex. There is also a reason why China has been unable to catch up, mainly because of the limitation of computing resources. If the limitation of computing power is released, it may have already been opened at 4:6. Poor intellectual spectrum computing power has been insufficient, it is difficult to imagine if there is sufficient computing power and the model is closed source, it is difficult to imagine how high the income will be.