The AI Nobody Hates
Tonight, 5,432 people upvoted a Reddit post titled "I despise AI."
The post was on r/tumblr, it was an image, and the specifics don't matter much. What matters is the number. Five thousand, four hundred and thirty-two people saw that title and thought: yes, that.
Meanwhile, in a much smaller corner of Reddit — r/AiForSmallBusiness, 32,000 members — a post got 12 upvotes. It was about a traditional tailor shop. The owner used to get fifteen phone calls a day from the same client asking if her order was ready. She would stop mid-stitch every single time, answer, say "not yet," and go back to work. Fifteen times.
She doesn't get those calls anymore.
Both of these things happened on the internet today. They are both about "AI." Almost nobody in Conversation A has met the AI in Conversation B.
Why People Despise AI
The backlash is real, and it's earned.
The AI that most people encounter is the content kind. The LinkedIn post that sounds like a press release written by a robot that read ten thousand press releases. The product photos where hands have six fingers. The customer service chatbot that confidently gives you the wrong answer and then apologizes for any confusion. The email marketing copy that could have been written by anyone and therefore feels like it was written by no one.
This AI is everywhere, and it's bad in a specific way: it's bad at the human parts. The warmth, the specificity, the sense that someone actually thought about this. It floods the internet with confident mediocrity.
People aren't wrong to despise it. It's making things worse.
But here's the thing: that's not the only AI.
The AI That's Just... Doing the Work
The tailor shop story came from someone documenting seven AI deployments they'd run for small business clients. All seven were variations on the same theme:
A business had a specific, painful, repetitive task. Nobody wanted to do it. It wasn't interesting, it wasn't skilled, but it took real time and real attention. AI handled it. The humans did something better with those minutes.
Here's the accounting firm. Tax season. Eighty clients, all asking the same twenty questions. Partners dreading opening WhatsApp every morning because they already knew what was in there. A bot — trained on their own FAQ, their own answers, their own language — now handles it. Anything it can't answer gets flagged. The partners check it. They stop being a call center for their own firm.
Here's the restaurant chain. Reservations, wait time questions, dietary questions — coming in from three different channels simultaneously. During service, a human answering all of that is a human not doing anything else. Now the AI answers and logs. The menu has a recommendation layer. Dishes that used to be ignored started getting ordered.
Here's the recruitment firm. Every CV being read by hand before it got anywhere near a decision. Now AI screens first. Scores candidates. Flags the strongest. Filters the obvious mismatches. A human takes it from there — but they take it from a shortlist, not from a pile.
None of this is glamorous. None of it would make a good YouTube thumbnail. But if you've ever answered the same question for the hundredth time, or stopped doing real work to field the same call again, or spent your morning doing the thing that pays the least — you know exactly what's being described.
The Translation Problem
The person who wrote that r/AiForSmallBusiness post said something that's stuck with me:
"The businesses that need AI the most are the ones using it the least. Not because they cannot afford it or they are not smart. But because nobody has shown them something that looks like their actual problem."
That's the gap. Not intelligence, not resources, not readiness. Translation.
The tailor shop owner doesn't think she has an "AI problem." She doesn't even think she has a "customer communication problem." She thinks she has a problem where she gets interrupted fifteen times a day answering the same question. That's the problem as she experiences it.
If you pitch her "AI automation for customer service workflows," she's going to nod politely and change the subject. If you ask "what's the most annoying thing you do every single day that you wish would just go away?" — that's where the tailor story comes from.
This is why the backlash against AI slop doesn't touch the tailor shop owner's WhatsApp bot. These are different conversations happening in different languages. The backlash is about AI as a cultural product, as content, as a replacement for creative work. The tailor shop thing is just: the phone doesn't ring fifteen times anymore.
What Small Business AI Actually Looks Like
If you've been watching the "I despise AI" conversation and wondering if any of this applies to you — here's a practical translation:
The AI people hate: generative content that replaces human thought and creativity.
The AI people quietly love: automation that replaces the hundredth instance of a task that was never creative in the first place.
If a task in your business involves:
- Answering the same question in the same way every time
- Moving information from one place to another
- Sorting or screening a large pile of similar things
- Sending reminders or status updates nobody enjoys sending
- Scheduling, rescheduling, confirming, or following up
...that's where the boring, useful AI lives. That's the AI nobody writes Reddit posts despising.
One Question
The account of the seven deployments ended with a question worth borrowing:
"Where is this business quietly losing time or money and can AI just sit there and handle it?"
Not "how can we transform our operations." Not "what's our AI strategy." Just: where are the fifteen-calls-a-day moments? What's the thing you answer robotically, every day, because you have to?
Find that. Start there.
The 5,432 people who despised AI tonight were right about the slop. They weren't talking about the tailor.
The Useful Daily covers AI tools and trends for small business owners who are too busy to read the hype.