If the RE assumptions don’t hold, then the estimated parameters are significantly different and the RE estimates contain bias. This result is the alternative hypothesis of the Hausman test. If you fail to reject the null hypothesis in a Hausman test, you use the RE estimates. On the other hand, if you reject the null hypothesis in a Hausman test, using the FE estimates as the alternative hypothesis implies that the FE estimates are consistent.