The latest data from the Ministry of Industry and Information Technology shows that in the first half of the year, the business income of China's Internet enterprises above designated size increased by 3.1% year on year, 2.2 percentage points higher than that in the first five months. This upward curve is the result of the booming development of emerging businesses such as 5G new calls, live short videos, and cloud gaming, as well as the deep vitality stimulated by the collaborative evolution of large model applications and artificial intelligence terminals. The demand for digital consumption continues to be released, and mobile traffic has grown in double digits for six consecutive months. China's Internet industry is taking innovation as an oar to break the waves in the tide of the real economy. Under the impressive growth rate, hardcore innovation is becoming the cornerstone for the industry to overcome cycles. In the first half of the year, the R&D investment of Internet enterprises above the designated size increased against the trend, sending a clear signal that the top enterprises are shifting their strategic focus from traffic competition to the bottom. The hard technology fields such as operating systems, databases, inference chips, and large models are attracting unprecedented resource investment. Billions of yuan worth of funds have poured into the construction of cloud and AI infrastructure, and domestic large-scale models such as Tongyi Qianwen have achieved full-scale open source and served large enterprises and institutions. The competition logic in the industry has shifted from scale expansion to deep technological exploration, and innovation has been used to build a moat to cope with uncertainty, opening up a second growth curve in cost reduction and efficiency improvement. The long-term accumulation of innovative energy will ultimately be fully demonstrated in the core areas of the industry. The number of generative artificial intelligence filing services is rapidly increasing, and while domestic large-scale models continue to break through in parameter scale and multimodal capabilities, they are also taking root in key fields such as industry, finance, and healthcare. The first large-scale modeling platform in the metallurgical industry has pushed the accuracy of metallographic analysis to over 95%, intelligent risk control has achieved instant credit approval, and medical AI has increased the efficiency of new drug research and development by dozens of times - these are not technical gimmicks, but real efficiency revolutions happening in workshops, laboratories, and financial institutions. With deep data accumulation and scene understanding, Internet enterprises are becoming the key hub of the value transformation of the big model, and promoting AI transformation into the core productivity enabling thousands of industries. Technological breakthroughs and empowerment of industries will ultimately achieve practical results in the market environment. In the first half of the year, online retail sales steadily increased by 8.5%, and the ignition of the "new consumption flame" of instant retail was driven by multiple driving forces: policies and platform promotions formed a joint force to unleash consumption potential, "artificial intelligence+consumption" reshaped the experience, and innovative scenarios such as intelligent shopping guides and virtual fitting rooms emerged. What is more noteworthy is the rise of the new force of "emotional consumption", and the scale of category users that meet emotional needs has exceeded 300 million. Instant retail has expanded from catering to the fields of beauty, medicine, and even travel. Platform integration has built a full scenario consumer ecosystem, which not only activates a broader market and extends the radius of physical commerce, but also creates abundant employment opportunities in logistics, warehousing, digital operations, and other fields, injecting stable power into the economy. However, the path forward for the industry is not a smooth one. The high cost of computing power and imbalanced regional distribution pose hard constraints for innovation iteration. The insufficient penetration of technology into the core links of the industry, institutional barriers to the circulation of data elements restrict the value release of "data rich mines". The regional digital divide and barriers to technology adoption for small and medium-sized enterprises urgently need to be bridged, and the intergenerational gap between the maturity of the underlying technology's independent ecosystem and the global leading level needs to be accelerated to catch up. These deep challenges call for more systematic and far-reaching breakthrough paths. Building a solid foundation of computing power has become the primary proposition to support the explosion of innovation. We need to accelerate the construction of national computing power hub nodes, optimize the allocation of energy indicators, and give priority to supporting the landing of green, low-carbon, and high-efficiency data centers; Actively promote the development of regional and industry computing resource sharing platforms, and lower the threshold for computing power for small and medium-sized enterprises through economies of scale and flexible scheduling; Simultaneously exploring the research and development of new computing architectures, providing technological reserves for future massive demands, and making computing power costs no longer a "roadblock" to innovation. A deeper level of empowerment lies in bridging the "Ren Du Er Mai" between technology and industry. We need to accelerate the large-scale and deep penetration of AI big models and new generation information technologies in industrial manufacturing, modern agriculture, urban governance and other fields, and focus on building a secure and trustworthy data element circulation and trading system with clear rights and responsibilities, activating the dormant "data rich mines" in various industries; We will focus on supporting the development of "hardcore" applications that target core pain points in industries such as improving product yield, optimizing process flow, and enhancing supply chain resilience, so that technological innovation can truly be transformed into breakthroughs in workshops and laboratories. Large platform enterprises should also be encouraged to open up and share basic AI tools and cloud resources, and create a low-cost "AI as a Service" ecosystem for small and medium-sized enterprises; Vigorously support the development of lightweight and industry-specific fine-tuning models to reduce the complexity of technology adoption. Collaborate to build a regional technology service center network covering industry, academia, and research, providing consultation, training, and program docking, so that the technological dividends can benefit the end of the industry chain. Strengthen the construction of digital infrastructure in the central and western regions and underdeveloped regions, guide Internet capital to focus on the digitalization of local characteristic industries, and cultivate new digital formats with regional recognition. (New Society)