I don’t think it was supposed to replace everyone in IT, but every company had system administrators or IT administrators that would work with physical servers and now there are gone. You can say that the new SRE are their replacement, but it’s a different set of skills, more similar to SDE than to system administrators.
Yeah, AI is going to put some people out of work, but in turn will open lots of more specialized positions. And these positions that are lost could adapt to AI (for example, being part of the training instead of just being let go).
I mean, isn’t that what “get on or get left behind” means?
It does not necessarily mean you’ll lose your job. Nor does “get on” mean you have to become a specialist on it.
The post picks specifically on things that didn’t catch on (or that only catched on for a period of time but were eventually superseeded), but does not apply it to other successful technologies.
Yeah, I realized it suffers from (inverse) survivorship bias, only pointing out the ones that didn’t survive.
Didn’t one company claim something like “the internet is a fad” or “touchscreen phones are a fad” and went bankrupt/became irrelevant because they didn’t adapt?
Remember when “The Cloud” was going to put everyone in IT out of a job?
Naming it “The Cloud” and not “Someone else’s old computer running in their basement” was a smart move though.
It just sounds better.
Many of our customers store their backups in our “cloud storage solution”.
I think they’d be rather less impressed to see the cloud is in fact a jumble of PCs scattered all around our office.
I don’t think it was supposed to replace everyone in IT, but every company had system administrators or IT administrators that would work with physical servers and now there are gone. You can say that the new SRE are their replacement, but it’s a different set of skills, more similar to SDE than to system administrators.
And some companies (like mine) just have their SDEs do the SRE job as well. Apparently it incentivizes us to write more stable code or something
Yeah, AI is going to put some people out of work, but in turn will open lots of more specialized positions. And these positions that are lost could adapt to AI (for example, being part of the training instead of just being let go).
There is still difference.
Cloud was FOR the IT people. Machine learning is for predicting patterns following data.
Maybe stock predictors will adapt or replace but average programmer didn’t have to switch to replit because it’s “cloud IDE”
I mean, isn’t that what “get on or get left behind” means?
It does not necessarily mean you’ll lose your job. Nor does “get on” mean you have to become a specialist on it.
The post picks specifically on things that didn’t catch on (or that only catched on for a period of time but were eventually superseeded), but does not apply it to other successful technologies.
Yeah, I realized it suffers from (inverse) survivorship bias, only pointing out the ones that didn’t survive.
Didn’t one company claim something like “the internet is a fad” or “touchscreen phones are a fad” and went bankrupt/became irrelevant because they didn’t adapt?
Blackberry? I was like 10 at the time so this is based off my memory of who had what phone but that seems like the right guess
Yep, I didn’t remember well so I didn’t know for certain.