AI productivityArtificial intelligence was an important driving force for the new round of technological revolution and industrial transformation. It had a multi-dimensional impact on productivity.
From the perspective of workers, artificial intelligence could digitize existing human knowledge and simulate human thinking through massive data input and deep learning. It could accommodate knowledge far beyond the human brain, and reorganize and use information knowledge to form the ability to create and use knowledge. For example, it had functions such as copywriting design, literary pictures, literary videos, code generation, etc., which provided assistance to human intellectual labor and improved labor quality, skills, and intellectual labor efficiency.
From the perspective of labor materials, artificial intelligence technology was subversive, versatile, and universal. It gave birth to more new production tools, transforming labor materials from traditional material forms to virtual forms, greatly expanding production space, liberating laborers, and weakening the restrictions of natural conditions on production activities.
From the perspective of labor objects, data became a new production factor, which was an important labor object. Artificial intelligence simplified the production process as a laborer (human/intelligent machine) using artificial intelligence technology to process labor objects (data). The technology itself and the things processed by artificial intelligence were labor objects under the concept of new quality productivity. At the same time, artificial intelligence could also greatly improve management and organizational efficiency, realize intelligent and green economic activities, and provide space for cost reduction and efficiency improvement for cultivating new quality productivity.
In addition, while artificial intelligence triggered changes in production methods and labor forms, it would also promote the adjustment and improvement of legal framework, supervision policies, and safeguard mechanisms, break the "obstruction" in production, distribution, exchange, and consumption cycles, promote the optimization and adjustment of industrial structure and organizational structure, and form a new production relationship that was compatible with the new quality of productivity.
However, China also faces some challenges in the development of artificial intelligence. Compared with the world's advanced level, basic research is weak, and independent research and development capabilities need to be improved. There are problems in the fields of high-end chips, intelligent instruments, core algorithms, operating systems, etc., which restrict the enabling effect of artificial intelligence on new productivity to a certain extent. Moreover, when artificial intelligence was integrated with the industry, some traditional industries and small and medium-sized enterprises had problems such as backward technology and equipment, lack of professionals, and difficult and expensive financing. They lacked the internal motivation for intelligent transformation, hindering the optimization and upgrading of industrial structure and the rapid development of new quality productivity.
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