This seems like bullshit to me. The UK sector I work in, 68,000 jobs were lost due to back in 2023. They all quoted the same rubbish as “simplifying operations using AI”.
My company has admitted this year they got it wrong and have backtracked.
Any excuse to fire the poor performers without perceptions of a normal layoff
In addition to the results pointed out by studies like those posted by @ekZepp@lemmy.world I feel it’s not a simple question of ‘which jobs can now be done by AI/LLMs’.
The ramifications of the wider ecosystem are more complex. For example, as this article illustrates, the actual search for a job is just horrible under this new paradigm. With the combination of copious machine generated job offers, machine generated job applications and machine driven applicant screenings, everything melts down into lowest common denominator stat-hiring process sludge, especially in combination with the more ‘platform’ driven hiring patterns of many sectors.
What about the people doing those jobs tho?
I work in software, every week I try to get copilot to entirely complete a simple work item as a benchmark of where the technology is up to.
For the last month or two, I have had two models in copilot regularly successfully identify the problem, write unit tests and then fix production code. Only minor manual changes have been necessary.
It’s getting to the point where the LLM is solving the problem and completing the work item in less time than most non-senior developers. No one is being fired as a direct result, but instead people are starting to work faster.
The first six months was definitely a productivity loss though.
