A new study from MIT's Computer Science and Artificial Intelligence Laboratory provides a new perspective on the impact of AI on the job market. The study points out that the speed at which artificial intelligence replaces human jobs may be much slower than people expect, mainly because of the current high cost of deploying AI technology, especially visual AI. Therefore, only after reducing costs and expanding the scope of applications can automation truly have significant appeal to enterprises. This research provides an important reference for our understanding of the relationship between AI and employment.
According to research from the MIT Computer Science and Artificial Intelligence Laboratory, artificial intelligence may eliminate workers much slower than people think. This is because visual AI is simply too expensive for enterprises. Only by reducing the cost of AI deployment and expanding the scope of applications can automation become more attractive to enterprises. The research results show that job losses caused by AI are gradual, and governments can adopt policies and retraining to mitigate the impact of unemployment. The rapid development of AI technology has raised concerns about job security, and the cost of existing AI applications may make employers more inclined to retain existing employees.
All in all, this study shows that the impact of AI on employment is not immediate and dramatic, but gradual and controllable. Through proactive policy intervention and technological development, we can effectively address the challenges posed by AI and minimize its negative impacts, ensuring a smooth transition in the labor market. In the future, reducing the cost of AI deployment will be key.