Alienation Analysis of Artificial Intelligence Based on the Theory of Alienated Labor

The alienation of artificial intelligence is not a natural product of technology, but a structural upgrade of labor alienation under capital logic in the digital era. Different from the physical discipline in the machine age, artificial intelligence has brought crises in both subjectivity and sociality: through algorithm recommendations, performance scoring, and behavior prediction, it has achieved "mental governance" over cognition, emotion, and even the meaning of existence, shifting alienation from "painful labor" to "unneeded unemployment," constituting a qualitative change from exploitative alienation to existential alienation. Its root does not lie in computing power or data, but in the fact that technology under private ownership serves capital proliferation rather than the all-round development of human beings. Therefore, the fundamental way to dissolve the alienation of artificial intelligence lies in sublating private ownership, so that the means of production serve the common interests of society; at the same time, specific paths such as labor force transformation, supplementary industrial upgrading, legal checks and balances on capital, and global collaboration are needed to make technology return from an alien force dominating people to a collaborative tool liberating people.