Quote:
Originally Posted by jayswin
Umm, how is that relevant when we're on track to automate most of the workforce, lol? People are so naive to what's happening.
The next step for society is not people losing their jobs to automation figuring out how to upgrade their skills, it's how governments will deal with an exponential explosion in unemployment in the coming decades. Like, c'mon, haha.
|
There's many paths to up skill that make sense depending on the industry and situation. The automation in a factory for example, still needs humans to implement and run on a daily basis, which requires upskilling of the existing workers to support. It'll eliminate the manual tasks on the line and thus reduce the headcount, but new jobs are created while shifting to the new world (albeit less than what was eliminated).
In other industries, the automation still needs to be created by an automation developer and then maintained forever as other interfaces change. It's an existing role as a software developer, but requires upskilling to learn automation. In the same industry, we are pushing hard for our team to get up-skilled on generative AI because while the engine will spit out samples of code based on instructions a human gives it, a human is still needed to select the sample to use as their base and then refine the code to fit the purpose.
Manual software testers as a final example were always needed in the IT industry, but these days, if you don't know how to develop automated code to automate the testing of software, and transition yourself to be an SDET vs. a tester, you'll face big challenges to stay employed.