|
|
|
|
|
by david-gpu
783 days ago
|
|
> We all know this isn’t replacing doctors. We do know that when applied correctly, this will assist doctors and other clinical specialists in their work. Let's say a clinic currently has eleven doctors and is able to treat X number of patients per week. Let's say one of them retires, and instead of finding a human replacement, the remaining ten doctors choose an AI clinical assistant to free up 10% of their workload. Now it only takes ten AI-assisted doctors to continue serving the same number of patients as eleven doctors used to do. This is just an example to show that there is no meaningful difference between "assisting" and "replacing". Any time an assistant, AI or not, takes some workload off somebody's plate, they have partially replaced them, and it adds up. |
|
If the AI can't do all the things that a doctor can do, then even when it can take up the slack for one doctor retiring, that doesn't tell you anything at all about whether or not it can take up the slack for two retiring.
Right now there's more work to be done than there are doctors to do it; this means that the same number of doctors are getting more things done as the AI improves… but not infinitely more, because there's still stuff the current AI can't do, that only humans can do.
We have a lot of things where technology has fully saturated demand: in food, this is why we've got an obesity problem in much of the world[0]; in medicine, this is how we wiped out smallpox entirely, and are very close to wiping out a few other diseases entirely; in telephony, this is why video conference calls are basically free.
But in each of those fields, there are other things we still have demand for, they're not complete post-scarcity: restaurants, old age, and bandwidth costs are still a thing.
[0] not so for transport, which is one reason why we simultaneously have some people starving