this post was submitted on 21 Aug 2025
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[–] null@lemmy.nullspace.lol 8 points 6 days ago

Reading the article, the conclusions seem to line up with what I experience. Namely the part where it says that individual users found a productivity boost.

At my company, we have a bunch of AI based tools set up, and it's impressive how much of the time consuming, boring, burnout-inducing gruntwork I can offload to the robots, and instead spend more of my working hours working on things I actually want to work on.

And we also deploy things like AI search for internal knowledge bases. Being able to quickly get the information you need to complete your job, especially if that information is related to sales is definitely good for business, but I'm not even sure how you'd measure that in terms of "profit".

[–] pika@feddit.nl 3 points 5 days ago

The link in the article to the MIT report doesn't directly link to any report. I wouldn't trust this article until the report is accessible and verifiable.

[–] Mangoholic@lemmy.ml 9 points 6 days ago

Bubbles burst, who would have thought.

[–] cyberwolfie@lemmy.ml 3 points 5 days ago

30-40 billion USD in total worldwide over three years seems very little compared to the massive expenditures by the AI companies to build the things?

[–] nexguy@lemmy.world 5 points 6 days ago

Pets.com all over again

[–] DarkSideOfTheMoon@lemmy.world 7 points 6 days ago* (last edited 6 days ago) (4 children)

As programmer. It’s helping my productivity. And look I am SDET in theory I will be the first to go, and I tried to make an agent doing most of my job, but it always things to correct.

But programming requires a lot of boilerplate code, using an agent to make boilerplate files so I can correct and adjust is speeding up a lot what I do.

I don’t think I can replaced so far, but my team is not looking to expand the team right now because we are doing more work.

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[–] zululove@lemmy.ml 4 points 6 days ago
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