Digital Twins of manufacturing processes are expected to boost processes’ performance and efficiency, since they are able to run optimization in real-time and provide feedback and/or control to them . At the same time, their adaptivity allows for uncertainty handling, through specific parameters estimation or addressing the processes in a robust way. However, it is still pending to investigate how the emerging Industry 5.0 and the relevant viewpoints of the involved technologies will affect the operation of the digital twins. To this end, herein, a multifold and systematic analysis is run to see how Industry 5.0 affects the digital twin concept, taking into account human centricity in terms of inclusion and empowerment. Next sustainability and resilience are also studied under the same context. To achieve this, a hypothetical case study of Additive Manufacturing optimization is taken into consideration, as well as the link to other manufacturing functionalities (as jobs), for the sake of completeness.