Why AI feels useless (and how to fix it)
You're not wrong. You're just using it wrong.
You opened ChatGPT. Or Claude. Or whatever your colleague wouldn't stop talking about. You typed something in. You got back a wall of text that sounded like it was written by a corporate intern who just discovered thesaurus.com.
And you thought: this is what everyone's losing their minds over?
I hear you. I hear you because half the people who find my newsletter started in that exact spot. Smart, capable professionals who gave AI a fair shot and walked away unimpressed.
Here's the thing: you weren't wrong about the output. You were wrong about whose fault it was.
The real problem (it's not the AI)
When you type "write me a marketing email" into Claude and get back something generic, that's not AI failing. That's AI doing exactly what you asked for. You gave it zero context, zero specifics, zero information about your voice, your audience, your goals, your constraints. You asked a brilliant stranger to do your job with no brief.
Of course the result was mediocre. The brief was mediocre.
This is the number one reason AI feels useless to smart people. Not because the technology doesn't work, but because nobody taught them the relationship between input quality and output quality.
Think of it this way.
If you hired the best consultant in your industry and your entire brief was "do the thing," you'd expect garbage. You wouldn't blame the consultant. You'd rewrite the brief.
AI works the same way. Except people somehow expect it to read their minds.
The three things that actually fix it
I've watched hundreds of people go from "AI is overhyped" to "I can't work without this" and the shift always comes down to the same three things. Not tricks. Not prompt templates you copy from Twitter. Three actual changes in how you interact with AI.
What most people do: "Write a LinkedIn post about AI in marketing." What actually works: "I'm a B2B marketing consultant who works with SaaS companies. My audience is marketing directors who are skeptical about AI but under pressure from their CEOs to adopt it. I want a LinkedIn post that acknowledges their skepticism while showing one specific, concrete way AI helped me cut a reporting task from 4 hours to 20 minutes. My tone is direct and slightly informal. I never use buzzwords like 'revolutionary' or 'game-changer.' Keep it under 200 words."
See the difference
Write a LinkedIn post about AI in marketing.
The real unlock (most people stop too early)
Those three fixes will make AI immediately more useful. You'll get better responses. You'll feel less frustrated. You'll start to see the value.
But that's still just using AI. You're still typing individual requests, getting individual responses, starting from scratch every conversation.
The real shift happens when you start building systems.
- One-off questions
- Generic prompts
- Inconsistent outputs
- Starts from scratch every time
- Reusable workflows
- Structured instructions
- More reliable outputs
- Keeps useful context
A quick test you can run right now
Pick something you tried with AI before and were disappointed by. A piece of writing, a brainstorm, an analysis. Now try it again, but this time:
After you try it, check off each step:
Where to go from here
"I want to get better at giving AI instructions"
"I want AI to write in my voice, not that generic tone"
"I’m brand new, I need the basics first"
"I'm brand new, I need the basics first"
One more thing
That feeling of "AI doesn't work for me"? It's the same feeling people had about spreadsheets in the '90s. The technology worked. The interface was just unfamiliar. And nobody had shown them what was actually possible yet.
You're not behind. You're right on time. The tools are better than ever, the barrier to entry has never been lower, and the gap between "tried it once" and "can't work without it" is smaller than you think.
Three changes: context, conversation, collaboration. That's it.
And when you're ready to go from individual conversations to actual systems, the free newsletter lands every Wednesday. It's where the building happens.