this post was submitted on 08 Sep 2025
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But in the actual boring real world AI doesn't make people more efficient. Studies show it makes people less efficient and ruins their ability to think critically and complete tasks they started assigning to the AI.
At the same time the data centres powering the AI suck huge amounts of energy and water to achieve the inefficiency and degradation of the work force's capability.
Arguably AI is creating jobs because inefficiencies in worker output now requires more workers to do the same amount of work. When I say worker output I am specifically referring to the output of office based workers, and even then this seems to be almost exclusively those in software engineering and management. There is little to no change to the output efficiency of trades at any level. Again arguably more work is available trades to help support the ever increasing data centres.
Got references to a few of them? I assume you do, because you must've read them.
Here's a recent one from MIT to get you started. Their sources are pretty good, too, as expected. https://arxiv.org/abs/2506.08872
nah sorry I didn't note down the links to them and CBF digging them up, it's cool if you don't believe they exist, you do you =)
I belive they exist, it's just the phrase "studies show that..." has become synonymus with "I've once saw a blogpost that..." or "that one Insta reel mentioned that..."
There are some ways in which AI (even generative AI) can make people more efficient. I'm not talking about ChatGPT writing your essays for you, or Copilot writing your code.
Like, for coding, it can be useful to get an idea of how to solve a problem. You may later throw out 90% of what the AI generated, but it can get you unstuck, or get you looking at the problem differently.
For writing tasks, it can sometimes give you a first draft that you can then put into your own words.
I would imagine that if you're making a movie on a really tight budget and have no drawing skills, you could use GenAI to create storyboards that explain how you want something to look better than you could with just words, or better than you could with your own poor drawings. None of those AI generated storyboards will end up in the final product, but they're potentially useful as a way for you to communicate how you want something to look.
The key difference is who is in charge. If you're a coder and AI is one of the many tools you have available to you, you can probably find some uses for it. But, it's going to be terrible if your job is to proof-read and approve code written and submitted by AIs. In that case you're going to have to look at a whole bunch of code that is specifically designed to look plausibly realistic, in order to find the logic flaw camouflaged by all the other believable things.