An AI-native organization needs to frame the right search space, generate many possibilities within it, cheaply eliminate weak ones, test the promising ones against reality, determine where irreversible commitment is justified and then feed the results back into the next round of search.
The advantage is created through a superior learning architecture spanning possibility to evidence to commitment.
Strategy in a world of expensive exploration is largely the discipline of making good choices with limited analysis.