The renewable energy in the global energy mix is increasing, so high-voltage direct current (HVDC) technology is growing rapidly. HVDC technology is a solution to accelerate the energy transition towards net zero emissions. In this regard. Power transmission HVDC through submarine cables very potential to be applied in Indonesia as sharing resources. The main component that needs attention to HVDCcables is the insulation part because it functions to withstand stress such as voltage so that breakdown does not occur. However, the main problem of the reliability of HVDC cables depends on the lifetime of isolation, especially under stress voltage. For a reliability system, a method that can predict HVDC cable lifetime is needed. In this study, HVDC cable lifetime prediction carried out based on stress voltage and partial discharge using the inverse power model (IPM) and modifications. The data used in this study consists of all papers published in the previous research. The cable life prediction produces an error of 6.11%. Then when a partial discharge occurs, it produces a model obtained with artificial intelligence to find the values of a and b with a mean squared error (MSE) of 3.0152%. Both models show that as the voltage increases, the lifespan of the cable decreases, especially when there is a partial discharge, the lifetime of the cable decreases more quickly. In accordance with the theory of the inverse power model which shows that the new formula is accurate for determining cable lifetime.