Energy has been propelling the development of human civilization for millennia. Humanity presently stands at Type 0.7276 on the Kardashev Scale, which was proposed to quantify the relationship between energy consumption and the development of civilizations. Projecting the future energy consumption and estimating the change of its composition are critical in the context of civilization development. Here machine learning models, random forest (RF) and autoregressive integrated moving average (ARIMA), are used to simulate and predict energy consumption on a global scale and project the position of humanity on the Kardashev Scale in 2060. The result suggests that global energy consumption is expected to reach 928-940 EJ in 2060, and our civilization is expected to achieve Type 0.7474 on the Kardashev Scale. Additionally, the potential energy segmentation changes before 2060 and present the influence of the advent of nuclear fusion in this context are discussed.