https://www.foxnews.com/tech/ai-layoffs-may-backfiring-companies
anyhow the article says AI related RIFs may not be payng off...
Gartner found many companies cutting workers while adopting AI are not seeing stronger ROI (ok, as expected) and the better results come from using AI to help employees work faster and smarter.
The main point is that layoffs can free up budget but cos still need skilled people... clean data, and human judgment to make AI useful...
Basically, AI just needs to be taught how to think - which it has been PROVEN it cannot do!
AI has a lot in common with you. ;-)
Correction - it sounds better to say AI can do the work.
I wonder if the author of the original article or any of the people up voting it here really understand the definition of a backfire.
In the case of an internal combustion engine, backfiring can be stopped by adjustments to timing and reducing the amount of fuel. Essentially fine tuning.
AI use just needs to be fine tuned to get to the optimal performance. Like any new technology it will take people becoming experienced in its use.
@d8 this is the correct response. I was RIF in March. AI cannot do my mine or my team’s job. It was all about cutting salaries/expenses. Streamlining processes. It sounds better to say AI cannot do the work vs. they just wanted to save money.
@gs there is a business for you. Your comment would make a great t-shirt.
We need you to train our Ai, so that we can fire you.
You can get whatever you want from the article but the fact is AI gets better and fast. This is a point not well covered in the study. Ask anyone who does software development how much better AI has gotten in the past year alone. Ask an attorney how good AI has gotten in handling legal work. Ask a radiologist how well, accurately, and AI can scan imagining to find problems. AI may start at average levels of knowledge in areas but it will be at PhD levels within a year.
It won't replace humans completely but humans trained to effectively use AI can replace 90-95% of untrained humans. Add in humanoid robots and then blue collar jobs are in scope too. They work 24x7x365 and don't complain.
A year from now most of the problems identified in the Gartner study will no longer exist.
Look for your next job in smaller companies who can't afford AI, at least for now. Large corporations have already decided to reduce human employment as fast as they can.
@OP In O's case, they're not particularly replacing people with AI, they're just cutting payrolll and expenses to the bone (except the new world headquarters building in Nashville) so they have the money to build that blasted data center for Open AI of all companies.