But for AI in the context of point-solutions and on-the-job use cases, metered billing is a death blow.
In this context, metered is a massive incentive to not use the product and requires the huge friction of having to do a cost/benefit analysis before every task. And if you're using it at work you may even need management sign-off before you can use it again.
For a tool that's intended to amplify productivity, very few humans want to make a cost/benefit analysis 250 times a day whether it's worth $3 to code up a boilerplate or not. On metered billing, they just wont use it.
It's great for free experimentation when coding apps that use API inference, it's actually motivating to build uses for it because it feels akin to a benefit that otherwise goes unused. Of course there is some price risk in holding their crypto token. After a large spike and drop in the first couple days, it's held steady for 6 months with a $2-$3 floor, possibly due to it having that baseline utility. Mentally, it's far more comfortable to me to stake a principal sum that I can wholly unstake in the future, than to spend on per-request fees.
https://www.bet.com/article/pe65fc/apple-s-black-diversity-c...
I’m hearing more and more how younger generations don’t have what people used to call basic computer skills, because everything just kind of works now. Putting up some road blocks that require research and hands on tinkering to solve, is an invaluable part of the learning process.
One could say the same of server/cloud obstacles, but because those systems are afar and opaque, it's easy to be content copy-pasting scripts. And there is less sense of progression and ownership since it doesn't involve building up your own environment.