| ▲ | gxs 26 minutes ago | |
One of the things missed with AI is that it’s enabled people to do more - either by augmenting skill sets or augmenting bandwidth In my own circles this has led to more work not less Expectations are higher, SLAs are tighter. Which makes sense - if a company can mine more gold with less works, they aren’t going to retire workers they will ask for even more gold Managers are coding again, analysts are expected to write better requirements and do more of their own analytics, lots of worn all around Eventually we will saturate that and need new people again I don’t disagree with the general principle that people will lose jobs, I just a) don’t think it will be as accelerated as people claim and b) more obviously the disruption will be felt in roles that are more rote and mechanical in nature - e.g. peoples whose job is in the family of summarizing data or compiling metrics, generating simple content (slide decks), etc and slowly creep up from there AI is one of those garbage in garbage out things and so far the quality out when the input quality has been great from what I’ve seen. Just a note preemptively to the nay sayers | ||
| ▲ | watwut 9 minutes ago | parent [-] | |
It does not make sense. If you have tool that makes you more productive and somehow end up overworked, it is not because of the tool. It is deliberate decision of the management. More productivity could mean more earning for the company. It could mean people getting kind of bored as work dries out. What you describe is normal push beyond possible with predictable longer term results. | ||