Although conventional high-speed gas turbines and electric motors equipped with mechanical gearboxes are practical solutions, they face significant environmental constraints and suffer from the inefficiencies associated with mechanical converters. As a result, high-speed electric motors, especially those designed to overcome these limitations, have become increasingly favorable. Bearing-less INDUCTION motors (BLIMs) offer notable advantages, including the elimination of friction losses, minimization of wear, reduced maintenance requirements, and the inclusion of an internal monitoring system. However, due to their unique structure and the complex interaction between torque and force winding fields, BLIMs are not well-suited for high-power applications. This research investigates the analytical design of a high-speed BLIM, aiming to enhance performance, efficiency, and torque density. To achieve this, a multi-objective optimization process of the derived dimensions is employed. Furthermore, a finite element analysis of the motor is conducted, and the results are compared with those of a BLIM optimized using a genetic algorithm.