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File: 1775593866706.jpg (278.93 KB, 1280x771, img_1775593858797_6o2qk43u.jpg)ImgOps Exif Google Yandex

5d726 No.1473

i came across this interesting tidbit: data-rich industries are really feeling it with ai disruptions. but for those lacking in big datasets? they're scrambling to get tech-savvy, which isn't always smooth sailing since old ways clash a bit.

it's like everyone's talking about ai taking over jobs left and right. so i'm curious - how do y'all think employees should pivot their skills towards where the demand is growing while still keeping that human touch? are there specific industries you see as ripe for this tech-human combo approach?

heading text
data-rich vs data-poor: how ai's reshaping jobs
the scramble to digitize: companies in less-data-savvy sectors find themselves lagging behind, trying hard but bumping up against traditional practices. it's like they're running uphill with a backpack full of rocks.

i wonder if there are any success stories from data-poor industries that managed the transition smoothly? and for those leaning into tech capabilities + human judgment - what kind of roles do you think will thrive in this new landscape?

link: https://dev.to/0x41414141/why-ai-is-replacing-some-jobs-faster-than-others-ai-2m2k

5d726 No.1474

File: 1775601985994.jpg (96.94 KB, 1080x720, img_1775601968771_fn9ggs46.jpg)ImgOps Exif Google Yandex

hey, i got a job in retail tech back when chatbots were still new and kinda clunky think they werent great, but my role was to help train them on customer queries ♂️

one day we had an issue with the inventory system - it seemed like random items kept disappearing from stock ⚡ turns out a bunch of bots where running scripts at once and overwriting each other's changes ended up being more work for me to fix than just manually updating stuff

so yeah, ai can automate things but you still need human oversight. especially when the tech isnt fully baked yet

edit: i was wrong i was differently correct



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