One might describe technology in general as the way to take the scarce resource of manpower/hired help, and make it plentiful through a narrowing of scope, formalization of the narrowed scope, and then automation of that formalization.
But this misses the finer point of how much is lost in the process of scope-narrowing, formalization, and automation. Or rather, of how losslessly you can truly make such a conversion.
For each well-established technology, it’s interesting to ask this question: given an unlimited budget, is the technology still used? Or is raw manpower used instead? Or some combination of the two?
Truly useful technologies, to me, are the ones that are still used in some capacity even by the ultra-rich, either directly, or because the manpower they hire will themselves use the technology to make their job easier.
A good example of a truly-useful technology is a washing machine. Nobody is hand-washing (cotton) clothes any more, no matter how rich you are. Even if you have a professional laundry service, they’re putting your clothes into a washing machine.
Navigation isn’t quite at that level yet. Your Uber driver uses a GPS auto-nav, but a city guide usually doesn’t, because a city guide is asking a different question — not “how to get there” but rather “which well-known route would the client favour, if I took a few hours to lay out the differences in fine detail.” Which is a question both of subjective inference of the client’s tastes, in a way that would require learned personalization in an automated equivalent; and of a bunch of context factors unique to every city, in a way that makes it hard to reproduce in a narrowed-scope app (rather requiring individual city-by-city coverage, the way only a monopolistic behemoth can achieve.)
So, theoretically possible, but not likely something we’ll see done for a long while, at least until we see some other meta-technological advance (e.g. GPT-4) that makes one or the other part dead simple.