[delayed]

I don't think an 8x spike over a year would be in any way explained by a demographic shift.

I think your personal experiences are anecdotal, unique, and not representative of EHR users.

I use AI daily and have to clean emojis.

It depends on the task, or the particular product/agent you're using. ChatGPT is a lot more emoji-heavy than say the business Copilot. Claude code, never. GitHub copilot never.

What I can tell you is, people I know who are SME's who are being paid several hundred thousand dollars a year this past year have started just copypastaing my questions into an LLM and regurgitating back to me whatever they said.

From my friend who is a director of a medical research library, a huge number of doctors recently switched from googling shit to just running it through the free ChatGPT.

> I code daily, with 80/90% of my work AI-assisted, and never had to clean one emoji.

do you read this code? I find it hard to believe unless you have llm instructions in your codebase that you are not aware of

I just had Claude generate a readme for me and it added at least 10 emoji to it.

Emojis are not widely used on platforms that dont make them easy to add. IE medical software on windows.

>I have no idea what you're talking about. I code daily, with 80/90% of my work AI-assisted, and never had to clean one emoji.

Yeah because they dont just add them to any generated code. Although if you ask them to make some sort of UI that might involve graphics, they will happily add lots of emojis. They do add them very liberally, especially in headings, for writing articles, blog posts, repots etc.

> I have no idea what you're talking about. I code daily, with 80/90% of my work AI-assisted, and never had to clean one emoji.

It depends on what you ask it. Asking it to code won't generate a single emoji, but ask it to make a list, summarize something, and similar tasks and you will have it all over.

And I disagree with people who always try to stick whatever to "generational stuff" as if there's a distinct wall with total culture differences, plus assuming XYZ gen is a monolith to apply whatever label on. I think this is just an easy, lazy way to explain things that you couldn't understand or explain. Sure, you might have some differences between a 13-year-old and 55-year-old in some categories, but they still share a lot of common ground as well. But a 20-something and 30-something? Barely any difference, let alone at work where usually there are policies and whatnot that will restrict such differences from surfacing.

Gen Z has been entering the professional workforce (post college age) since approximately 2020, so I don't think they're to blame.

AI generated text is littered with emojis in my experience as well, often used as bullets in the lists it loves to generate.

> I have no idea what you're talking about. I code daily, with 80/90% of my work AI-assisted, and never had to clean one emoji.

Compare the READMEs of GitHub repositories for low-rated Show HN submissions in 2025 vs 2024. It's really clear.

In the conversational mode it shits them like crazy. Depends on a particular fine-tune though.

I think the herb emoji is more often used to represent cannabis than falling leaves or a maple leaf are.

Plausible deniability on excluding people for BS reasons I'd guess.