The difference is mostly the delay, which stems not necessarily from the regulation itself, but from the incentives in the machinery that administers it.
There is suddenly political will and leadership on these issues, which makes change now possible, but the administrative state is not going to reform itself.
we've both come to believe that when transformation fails repeatedly, it's time for something different, and one of the tools that leaders need to add to their tool belts (and probably use a lot more frequently than they do today), is starting fresh, creating new entities (agencies and departments, for example) and either endowing them with new authorities or transferring authorities from legacy institutions to the new ones.
When government can't act at the speed of the technology, the consequential decisions still get made, but by the companies building it rather than the public's representatives.
Government is where the literal money is (money that could often go much further if we fixed what's wrong with government), but it's also where the impact is. And it's where the legitimacy is.
But being good or even excellent at that does not automatically make you good at understanding user needs and making informed judgement calls about what features will meet those needs and how they should be designed.
A digital service team that works with an agency that continues to hire and manage for the same jobs they did last year, and structures the work in the same way it did last year, is just a tourist.
AI is not only an exogenous shock that government will have to absorb. It is also moving the bar on what counts as acceptable service in the first place.
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