This year's government work report proposes to create a new form of intelligent economy and deepen the expansion of "artificial intelligence+", pointing out the direction for the development of artificial intelligence. Currently, China's AI industry is shifting from technology competition to value realization. Practice has fully demonstrated that deep industry cultivation is the core lever for the next wave of AI explosion, and it is the only way to promote the transformation of artificial intelligence from a "key variable" to a "strong increment" for high-quality development. After multiple rounds of technological iteration, artificial intelligence has entered a new stage guided by applications and based on industries. The government work report has deployed "artificial intelligence+" for three consecutive years, and this year it will upgrade from "continuous promotion" to "deepening expansion", marking the shift of China's AI development focus from technological breakthroughs to large-scale implementation, commercial application, and full chain integration. Data shows that the penetration rate of AI technology application in China's large-scale manufacturing enterprises has exceeded 30%, the scale of the core AI industry has exceeded 1.2 trillion yuan, and the number of enterprises has exceeded 6200. However, at the same time, there is still a tendency in some fields to prioritize technology over scenarios and models over effectiveness, and the problem of "two skins" between technology and industry still exists. Only by rooting in the real economy and deeply cultivating industry scenarios can we open up the transformation channel from technology to productivity. Deep cultivation of industries requires a focus on the implementation of scenarios, enabling AI to accurately empower various industries. The government work report proposes to promote the commercial and large-scale application of artificial intelligence in key industries, and cultivate intelligent native new business models. Upgrading from "5G+Industrial Internet" to accelerating the promotion of new generation intelligent terminals and agents; From intelligent manufacturing to smart healthcare and intelligent transportation, the value of AI lies in solving practical pain points and improving industrial quality and efficiency. Practice has proven that AI and the manufacturing industry can work in both directions, optimizing production processes, reducing energy consumption costs, and improving total factor productivity; The deep integration of AI and livelihood services can expand the service radius and enhance governance efficiency. Only by deepening the technology and penetrating the scenarios can sustainable industrial competitiveness be formed. To deepen industrial cultivation, we need to build a solid foundation that integrates computing power, data, and ecology. The government work report proposes to implement new infrastructure projects such as ultra large scale intelligent computing clusters and computer collaboration, strengthen national integrated computing power monitoring and scheduling, and support the development of public cloud; Deepen the development and utilization of data resources, improve the basic system of data elements, and build high-quality datasets. Computing power is the "engine" of AI development, data is the "fuel" for AI training, and ecology is the "soil" for AI prosperity. Only by promoting efficient and inclusive supply of computing power, compliant and efficient circulation of data, and open and collaborative open source ecology can we provide stable support for the deepening of industries, reduce the threshold for enterprise applications, and form a good pattern of integration and upstream and downstream collaboration among large, medium, and small enterprises. To deepen industrial cultivation, we must adhere to both innovation and standardization, and improve the governance system of artificial intelligence. Security is the prerequisite for development, and norms are the guarantee of prosperity. The government work report proposes to improve the governance of artificial intelligence, and several representatives and members provide suggestions, aiming to promote the healthy development of AI on the track of rule of law. In the face of challenges such as data quality, algorithm security, and talent supply, we must adhere to inclusiveness, prudence, and innovation. We should encourage technological breakthroughs and model exploration, as well as establish a solid safety bottom line, improve standards and norms, and achieve synchronous improvement of innovation vitality and governance capabilities. On the new journey, the key to developing artificial intelligence and cultivating new quality productivity lies in deep cultivation, and the way out lies in integration. We will firmly grasp the core focus of industrial deepening, promote the all-round, full chain, and deep integration of AI and the real economy, and promote the synergy of technology, industry, and application. We will certainly accelerate the formation of a new form of intelligent economy, so that AI can better serve high-quality development, high-quality life, and efficient governance, and inject surging momentum into Chinese path to modernization. (New Society)