There is a problematic time-slip between the existence of laws and insurance and the real-life behaviour of humans. Laws and insurance are for the most part reactive: insurance policies, for example, are based on amassed data that informs the broker of risk levels, and this system therefore needs history to work. So when you try to insert a new product or concept - a self-driving car or delivery drone - into everyday life, the insurance system pushes back. Insurance companies don’t want to gamble on an unknown future; they want to look at the future through historical data, which is by nature a conservative lens.
Laws, insurance, and historical infrastructure often work together to curb radical change. This partly explains why many of the now technologically realisable dreams of the past, from jetpacks to flying cars, are unlikely to become an everyday reality in that imagined form - more likely they will adapt and conform to existing systems and rules.
Path-dependency; obduracy; infrastructural inertia. This is precisely what my PhD is all about.