This study explores the varying thermal response of additively manufactured samples of AlSi10Mg subjected to cyclic loading. The thermal response is driven primarily by the self-heating effect. The paper explores the viability of employing thermographic methods to establish an S-N curve for fatigue life prediction with fewer samples than traditionally required from constant-amplitude tests. Specific Self-Heating tests are conducted, gradually increasing the loading amplitude while monitoring the specimen's temperature. The validity of evaluated solution is compared with the own experimental data including the impact of four heat treatments on the samples from one AM batch, leading to valuable insights and conclusions.