Two-Sided Risk
Two-sided risk is the idea that you can get into trouble by moving too fast, but you can also get into trouble by moving too slowly. It means that deciding to wait is just as much of a risky choice as deciding to go ahead, so leaders have to balance the danger of making a mistake with the danger of being left behind.
Two-sided risk is a strategic framework where the decision to deploy AI is evaluated against both the potential for operational harm and the opportunity cost of inaction. It requires that risk assessments treat 'inaction' as a proactive choice with its own set of threats—such as competitive obsolescence or loss of market share—ensuring that the burden of proof for a 'no' is as rigorous as the burden of proof for a 'yes'.
The framing that a risk practitioner balances adoption risk (incident, breach, harm) against inaction risk (irrelevance, lost margin, talent flight); decision defensibility cuts both ways, defending a yes as rigorously as a no. (C4AIL / CAIRP.)