> The technologies that we build now need to make work effortless, not take work away. It is much easier to accept help that makes life more fun than it is to accept losing your job.
In the long run, it doesn't work out. You can't randomly insert people into ML pipelines just to maintain their jobs. Even if people are in the loop, there is probably the need for one human monitor to oversee the same amount of data that 100 people used to process manually before. So there will remain about 1% of the jobs, which is practically nothing.
In the short run, on the other hand, machine learning is still expensive and difficult to deploy. Until it becomes just as diversified and easy to use as phone apps, it won't replace humans. Migrating all processes on automation will take decades even if we'd have the ML tech to do it today because industrial investments have a long churning time and people will become cheaper and cheaper to hire as they lose their jobs.
In the long run, it doesn't work out. You can't randomly insert people into ML pipelines just to maintain their jobs. Even if people are in the loop, there is probably the need for one human monitor to oversee the same amount of data that 100 people used to process manually before. So there will remain about 1% of the jobs, which is practically nothing.
In the short run, on the other hand, machine learning is still expensive and difficult to deploy. Until it becomes just as diversified and easy to use as phone apps, it won't replace humans. Migrating all processes on automation will take decades even if we'd have the ML tech to do it today because industrial investments have a long churning time and people will become cheaper and cheaper to hire as they lose their jobs.