Development of technology, including artificial intelligence, has been controversial due to the potential negative effects. Many believe it is an auspicious industry and that technology will eventually replace the work of the human labor force. In this research project, our team analyzed the effects of technology in the labor market on the labor force within the next few decades. To accomplish our goal, we developed a model that can interpret the correlations between various factors. Specifically, this research analyzed data, including the employment rate, unemployment rate, number of occupation categories, and involvement rate of technology from varied industries. In addition, the Bureau of Labor statistics database was primarily used to regress the model. We expected to see a decrease in low-skilled occupations, such as cashier, in a short run. These types of occupations will be replace by IoT or artificial intelligence. High-skilled occupations, such as lawyer and surgeons, will still be demanded and irreplaceable in a short run, but would eventually be displaced in the long run. A shift would occur from low to high skilled occupations, due to factors such as social demand, working efficiency, and wage polarization. The employment rate goes down during the short run since more jobs are replaced by artificial intelligences and robotics. However, in a long run, more occupations will be created which will recuperate the fall in employment rate occurred during the short run. This research is very crucial and necessary because of the rapid growth of technology and its immense impact on the human labor force market. This research could ultimately provide information for governments and policy makers regarding potential growth sectors in the economy due to technological changes. Also, future generation can be more aware of this technological change, so that they can choose majors with accurately reflecting future employment trends.