The place I would press is the move from theory of fit to operating practice. If risk is the possibility that an extended self-system becomes misfitted to the future it is entering, then the central question becomes: what practices help that system sense misfit early enough to move?

That seems especially important because misfit is often first felt at the edges: in operations, households, maintenance, care work, local infrastructure, supply chains, returns, complaints, workarounds, fatigue, refusal, and waste. These are not peripheral signals. They are often the body-form speaking before the strategy knows how to listen.

So the risk architecture needs more than models of exposure. It needs live return loops: ways for consequence to become visible, for dependency to be disclosed, for movement to be tested, and for the system to update before misfit becomes failure.

Risk as fit under uncertainty is strong. The next question is how we build systems that can keep sensing fit in practice.