This article touches on an interesting idea - U.S. governments are generally well behind the private sector, and the public sector in much of the developed world, in adopting the use of AI.
But, there's no question it's coming - the value proposition and the demands of citizens are simply growing too loud. Government have been slow to adopt it largely because what they're using is working - it's just usually terribly inefficient (think about how much better your DMV experience could be if you didn't have to wait in line . . .).
Well, the demand for better services may finally be reaching the point where the investment MUST be made. So, let's not be incremental - let's get the best current tech and make the processes incredibly efficient RIGHT NOW - how I'd define 'leapfrogging' in this context. I understand the pressure on governments to not spend money until it's all totally proven - it makes sense, as frustrating as it is - but, I'd urge all of us to be ready to argue that, once we DO start spending the money, let's do it whole-heartedly and catchup all the way.
The productivity advantages of AI for the public sector cannot be underestimated. According to Deloitte research, up to 1.2 billion of the estimated 4.3 billion hours that government employees work each year could be freed up today using AI. What’s more, Deloitte estimates agencies could save as much as $41.1 billion annually by using this technology to automate various processes.