If productivity can increase significantly per worker, the result will be major overall economic growth.
It might be sold to consumers the way vacuums and washing machines were. With these automated modern conveniences you'll spend less time working and have more time for leisure.
Of course the reality for the actual workers on the line is that their job and industry may be disrupted and the overall benefits of that economic growth may not reach them during their lifetime. The Industrial Revolution was followed by a century of major and sometimes violent disputes over the relationship between corporations and labor and the rights of workers.
The post-WWII promises of convenience and leisure were replaced by the reality of the baseline adjusting and households needing to work the same or even more combined hours to make ends meet.
Even if the optimistic levels of economic growth occur, the benefits are unlikely to be evenly distributed.
a) it seems likely to me that in the end, few normal people know what to do with the ability to create their own software for their private use,
b) getting bespoke software working on the platforms that the majority of people actually use (Android and iOS) is somewhere between hard and impossible, and
c) large corporations have a de facto grip on AI as well, local models require you to have the knowhow and beefy hardware to run them, and they’re not magic software machines like Claude.
All in all, it seems rathet optimistic that AIs could do much if anything to help consumers against corporations. But I concede that it is a viewpoint that’s at least less selfish than most.
The low-quality content machine angle is one of the least interesting things about it.
Without going into details, I have used AI to find genuine, provably effective solutions to multiple real world problems that would either have been impossible without AI or would have taken a very, very long time.
And it would have been a boon if it had been around while I was getting my degree, because it's been excellent at clarifying foundational concepts.
It's not perfectly reliable, but neither are human professionals.