As large-scale artificial intelligence models move from laboratories to factory workshops, as humanoid robots perform precise movements in the torch relay, and as drone logistics routes weave a network in the low-altitude skies of cities, the field of technological innovation in 2025 is exhibiting unprecedented vitality and transformation. In this year, cutting-edge technologies are no longer isolated conceptual deductions, but rather, through cross-domain integration and full-industry chain collaboration, they are deeply embedded in the fabric of economic and social development, outlining a clear contour for a new round of technological revolution and industrial transformation while addressing practical pain points.
The evolution of the artificial intelligence (AI) field is moving beyond the period of rapid, isolated breakthroughs and entering a more complex phase characterized by deep integration and parallel governance. A bipolar global digital ecosystem, centered on the US and China, has emerged. While China's strength in digital infrastructure and the US's leading digital capabilities complement each other, this also highlights significant differences in development tiers worldwide. A UNDP report warns that AI development is widening the gap between nations, and without intervention, past efforts to narrow this development gap could be lost. From a technological perspective, AI agents are becoming crucial for bridging industry gaps. A tiered product structure of "one generation for application, one generation for testing, and one generation for R&D" is gradually taking shape, with generative AI penetrating from large enterprises to SMEs and extending from auxiliary functions to core production decision-making processes. However, the "implementation gap" remains a widespread challenge. Up to 95% of enterprise AI pilot projects have failed to achieve expected returns, with the comprehensiveness and accuracy of data becoming the core variables determining success or failure. Against this backdrop, open source has become a crucial path for latecomers to catch up, while the construction of governance frameworks at the policy level is also accelerating. China's continued release of policy dividends has fueled market expectations; it is predicted that by 2035, the Chinese AI market size will reach 24.92 trillion yuan under a neutral scenario.
The vigorous development of technological innovation cannot be separated from the support of "patient capital" and ecosystem empowerment. The practice of Shenzhen Lihe Science and Technology Innovation is highly representative. Focusing on hard technology fields, with an emphasis on angel and early-stage investments, it covers the entire life cycle of enterprise development, having incubated and served over 4,000 companies, nurturing a number of high-quality AI companies such as Bohan Intelligent, Jindu Biotech, and Xinhai Technology. Bohan Intelligent's DCAI artificial intelligence platform empowers various industries, Jindu Biotech uses AI to explore the mysteries of life sciences, and Xinhai Technology's chip products empower AI PCs, drones, and other terminals. The growth trajectories of these companies are a successful testament to the "technology transfer + enterprise incubation + industrial catalysis" model. In the AI hardware sector, Suisheng Technology, founded by Wang Shiyuan, former global CMO of Anker Innovations, focuses on the "AI memory" track. It achieves memory management and action closed loop through software and hardware combination solutions. Recently, it won millions of US dollars in angel round financing led by Sequoia China Seed Fund, demonstrating the innovative vitality of startups in niche fields.
Looking back at the field of technological innovation in 2025, technological integration, scenario-driven development, and ecosystem collaboration have become its defining characteristics. Breakthroughs in the three major tracks of artificial intelligence, embody intelligence, and low-altitude economy are not only reshaping the industrial landscape but also reconstructing people's production and lifestyles. Although challenges remain—the "bottleneck" problem of core technologies, the cost pressure of large-scale deployment, and insufficient coordination in global governance—policy support, capital inflows, and talent aggregation are all injecting continuous momentum into technological innovation. Looking ahead, JinYi Interconnect believes that only by adhering to innovation-driven development, strengthening the integration of industry, academia, and research, and addressing development pain points can cutting-edge technologies truly be transformed into driving forces for high-quality development, anchoring the future and gaining the initiative in the wave of global technological competition.
