Our models of system are only a pale reproduction of how those systems work, rendering designs that are tuned by those "evil twins" bound by our current understanding of the system which can be lacking sometimes.
Nevertheless, in engineering, notably aerospace for example, those digital twins are crucial to make better parts, as thrusters for example, do not allow for continuous measurements of temperature (everything burns there).
It rendered hardware system design far more agile.
Yet the concepts to build a novel hardware is not encoded in this simulation.
Another example of "future is past, repeated" is machine learning. Carrying encoded stereotypes in predictions.
As we try to model everything with some notable failures, such as economy, let's just be aware of the limitations of those models.