Why Most AI Advice Is Terrible

The AI advice landscape is a mess. On one side: breathless hype about how ChatGPT will 10x your productivity, replace your job, or make you obsolete. On the other: doom-scrolling takes about how everything is broken and you should be terrified. Both camps are wrong. And both are useless.

Here’s the uncomfortable truth: most of what passes for AI advice is noise. It’s either marketing dressed up as insight, or fear dressed up as wisdom. Neither helps you actually get better at using these tools.

The Hype Trap

The hype crowd sells you shortcuts. “Just prompt it right and magic happens.” “AI does the thinking for you.” “Learn these 5 prompts and you’re set.” It sounds great. It’s also nonsense.

AI doesn’t think. It predicts tokens. Understanding that distinction changes everything about how you use it. The people selling you prompt templates and “AI productivity hacks” rarely mention that the model has no memory of your last conversation, no understanding of your domain, and no way to know when it’s wrong. They’re selling you a fantasy.

The result: you try the magic prompts, get mediocre output, and assume you’re doing it wrong. You’re not. The advice was wrong.

The Fear Trap

The fear crowd is equally unhelpful. “AI will replace developers.” “Your job is at risk.” “The machines are coming.” Okay. And? What are you supposed to do with that?

Fear without direction is paralysis. It doesn’t tell you what to learn, what to build, or how to adapt. It just makes you anxious. Some people wear that anxiety like a badge of seriousness. “At least I’m not one of those naive optimists.” But worrying isn’t a strategy.

The reality: jobs change. They always have. The question isn’t whether AI will change yours. It’s whether you’ll understand it well enough to ride the wave instead of getting swept under.

What Actually Matters

The people who get real value from AI share three traits:

1. They understand the mechanics. They know what tokenization is. They know why context windows matter. They know the difference between a model that’s good at code and one that’s good at creative writing. This isn’t academic. It directly shapes how they prompt, what they expect, and when they trust the output.

2. They have real skills to amplify. AI multiplies what you can do. It doesn’t replace judgment, taste, or domain expertise. The best AI users are people who already knew their craft. They use the tool to go faster and explore more, not to fake competence they don’t have.

3. They think for themselves. They don’t copy-paste prompts from Twitter. They don’t panic when someone says their job is doomed. They experiment, observe what works, and build their own mental models. They’re skeptical of both the hype and the fear.

The Noise Problem

The internet is drowning in AI content. Every day brings new “breakthrough” prompts, new “you won’t believe what ChatGPT did” posts, new hot takes. Most of it is recycled, shallow, or both. The signal-to-noise ratio is terrible.

The solution isn’t to consume more. It’s to understand more. Once you know how these systems actually work, you can filter the noise yourself. You’ll recognize when someone is selling you a shortcut that doesn’t exist. You’ll recognize when someone is selling you fear that doesn’t help. You’ll know what to ignore.

A Different Approach

This is why I wrote Get Insanely Good at AI. Not another list of prompts. Not another hot take. A book that teaches you the mechanics (tokenization, context, reasoning patterns, failure modes) so you can build real skills and think for yourself.

The goal isn’t to make you dependent on someone else’s advice. It’s to make you independent. To give you the foundation to evaluate any AI advice you encounter, to build your own workflows, and to adapt as the tools evolve.

Because they will evolve. The hype will shift. The fear will shift. The one thing that won’t change: the people who understand how this stuff works will have the advantage. Every time.