Young people have grown increasingly skeptical of artificial intelligence, even those who use it daily, according to a new Gallup poll of more than 1,500 people aged 14 to 29.
There is no decline in AI use among Gen Zers, but there is also no increase since the same poll was conducted in 2025. The latest poll found that AI use was plateauing among young users, accompanied by rising concern about the technology’s consequences.
The findings are significant because Gen Z is “the generation most likely to enter or grow within the workforce over the next decade,” the report notes, meaning that their adoption could determine the trajectory of broader societal AI adoption. Gen Z has already overtaken Boomers in the workforce. Right now, the AI world is preparing for a massive jump in expected demand, and the top tech and financial companies are investing billions upon billions of dollars into building out the supply. Experts have warned that if demand does not pan out exactly as expected in the short term, then it could have disastrous consequences for the economy.
I’m still skeptical about this.
Most of those things are usually due to the alternative being intentionally bad.
Like google becoming bad, or bad company documentation, or corporate speak emails that’s could just be straight to the point.
Maybe? But to give an example of how I think it’s been pretty cool, is summarising my Dungeons & Dragons session notes, and being available to answer questions, or spin up ideas on the fly. I can take horrible and inconsistent notes with holes in them, but an LLM straightens them all out into any format I need. If I need a small piece of world building and ran out of time I can get it to spit a few ideas at me. Often generic ideas and tropes are actually what I am after. If I forgot something that happened 6 months ago I can just…ask it. It can pull up stuff I noted offhand and totally forgot about no problem. This sort of use where it’s like an admin assistant, and being inaccurate is totally unimportant, it’s a good tool.
Maybe that’s a really niche example but it’s one of the few cases where I can see long term use with zero downsides.
Ultimately it’s powerful at consolidating large volumes of information and allowing the user to probe at that information. As long as the use case can tolerate inaccuracies and hallucinations then it’s fine.