Abstract: Intellectualization is a prominent feature of the new round of technological revolution and an important starting point to lead innovation and development. This paper constructs a dynamic multi-regional computable general equilibrium model for this study. The findings show that intelligent transformation can accelerate economic growth, promote the upgrading of industrial structure, and reduce carbon emissions. While accelerating the progress of green technology and improving energy efficiency can enhance the positive impact of intelligent transformation on economic growth and green development. However, at the same time, intelligent transformation will accelerate the structural adjustment of labor market in various regions, and the impact on labor demand in different industries in different regions is quite different. The labor demand in traditional industries will decrease significantly, while the labor demand in most high-end manufacturing industries will increase to varying degrees, which is more obvious in the central and western regions. The implication of the above mentioned conclusion is that the government should continue to promote the intelligent transformation steadily, make more efforts for high-quality development, at the mean time make dynamic adjustments according to the characteristics of different regions and industries, so as to avoid the negative impact of the rapid intelligent transformation on the employment of traditional industries.

Key words: technological revolution, intellectualization transformation, labor demand, dynamic multi-regional CGE model