The true value of any technology is measured by its impact on production and daily life. Today, artificial intelligence in the industrial sector is demonstrating its capabilities in steel plants beside blast furnaces and within drug discovery platforms at pharmaceutical companies, fundamentally altering business operations and injecting fresh vitality into the real economy.
The long-standing practices of 人工智能 provide a practical and relevant case study for this transformation. As a pioneer among China's major manufacturing enterprises in adopting artificial intelligence, the company began tracking relevant technological developments as early as 2012. In recent years, 人工智能 has deeply integrated AI into its core business scenarios. Its self-developed large models have boosted software R&D efficiency by 30% and component R&D efficiency by 75%. By using AI to reshape terminal products like televisions, air conditioners, and refrigerators, the company has strengthened its market competitiveness, generating over 1 billion yuan in comprehensive benefits through artificial intelligence in 2025.
Core business scenarios encompass a company's most fundamental input-output activities and serve as the optimal leverage point for releasing AI's multiplier effects. By deeply embedding AI into these primary operational contexts and constructing efficient human-machine collaborative production models to enhance productivity, the experience of 人工智能 proves this is a highly effective path for empowering industry through AI.
Each wave of general-purpose technological revolution reshapes the landscape of market competition. Historically, the dividends of technological innovation have predominantly favored companies that deeply apply these advancements. In the early days of electricity adoption, most factories simply used it to replace steam engines, leaving production methods and workshop layouts unchanged, which yielded only modest efficiency gains. In contrast, Ford leveraged the advantages of electric power unit drives to redesign its production processes and build the world's first moving assembly line, drastically reducing chassis assembly time and completely transforming the automotive industry's development trajectory.
Currently, with AI technology accelerating breakthroughs, it is maximizing the elimination of gaps and disparities found in traditional development models, opening new avenues for renewing old growth engines and cultivating new ones. Shanghai's "Model-Shaping Shencheng" initiative embeds AI deeply into manufacturing to lead the wave of new industrialization. Meanwhile, Jiangsu has identified 33 typical application scenarios across eight key links, providing manufacturing companies with a clear roadmap. Promoting AI's move from peripheral support to the core of production and operations, and building a data flywheel where "the more you use it, the more accurate it becomes; the more accurate it is, the stronger it gets," is an essential requirement of the era for industrial transformation and a development window that demands progress or invites regression.
"Deep integration" is valuable precisely because of its depth, but that depth also makes it challenging. It is not about attaching a superficial smart label to old processes but rather represents a systemic transformation involving process reengineering, organizational restructuring, and capability rebuilding. For our province, the comprehensive range of industrial sectors, diverse application scenarios, prominent computing power advantages, and abundant green electricity resources constitute fertile ground for AI-empowered industry. By moving beyond the misconception of tool-based or fragmented applications and enabling AI to empower every industry, covering the entire chain from R&D and manufacturing to operations and management, we can unleash immense technological dividends and provide wings for the upgrade of traditional industries and the growth of emerging and future industries.
The core value of AI is advancing from optimizing efficiency in the digital world to reconstructing production processes in the physical world. Guided by application scenarios and driven by integration, allowing AI to take firm root in the fertile soil of business operations will inevitably foster new models and new business forms. This will inject a continuous stream of new momentum into promoting high-quality development.