AI Should Make You Smarter. Is Yours?
- What pro-worker AI actually means
- The quiet risk of outsourcing your thinking
- Why intention matters more than the tool
- How to know if AI is making you more capable
There’s a quiet concern sitting underneath a lot of conversations about AI right now.
Not the dramatic ones — the robots taking over, the dystopian futures.
The quieter one. The one that sounds more like: am I becoming less capable because of this?
It’s worth taking seriously.
What Pro-Worker AI Actually Means
Two MIT economists — Daron Acemoglu, Nobel laureate, and David Autor — recently made a distinction that doesn’t get nearly enough airtime in the small business world.
They called it “pro-worker AI.”
The idea is straightforward: AI can be built and used in a way that extends human expertise, or it can be used in a way that replaces it.
Those are not the same thing. And right now, the industry is mostly pointed at the second option. What does the first option look like?
Autor described it this way: a novice electrician, equipped with the right tools, performing at the level of a seasoned expert. Not because the AI did the job for them — but because it gave them access to depth they didn’t have before.
More knowledge. More context. Better judgment. That’s the version worth wanting.
The Risk of Outsourcing Your Thinking
The concern with how most people are adopting AI tools — particularly in small business — is that the shortcut becomes the habit.
You stop reading the whole thing because AI summarised it.
You stop thinking through the problem because AI gave you an answer.
You stop developing your own instincts because you outsourced them before they had a chance to form.
That’s not a technology problem. It’s an intention problem. The technology is largely neutral. What matters is the question you bring to it.
Are you using AI to go faster through things that deserve less of your attention — so you can go deeper on the things that matter? Or are you using it to avoid the hard thinking altogether?
One of those paths leaves you more capable over time. The other quietly erodes what you already know.
When Expertise Stops Being Produced
Acemoglu was direct about the risk: when human expertise stops being needed, it stops being produced. The knowledge that makes AI useful in the first place — the hard-won, experience-based, specific kind — dries up.
It’s a slow process. But it starts with individual habits, made quietly, one shortcut at a time.
This isn’t an argument against AI. It’s an argument for using it with intention.
What Using AI Well Actually Looks Like
AI should be doing the legwork so you can do the thinking. It should be handling the repetitive so you can focus on the irreplaceable.
It should be expanding what you’re capable of — not narrowing it.
If your AI tools are making you better at your work, sharper in your thinking, more able to go deep — that’s the right direction. If they’re making it easier to stay on the surface, that’s worth noticing.
Further Reading & Listening
- Podcast: Daron Acemoglu & David Autor on Pro-Worker AI — the conversation that sparked this article
- Why Most People Don’t Need More Tools — They Need Less Noise
- Do You Actually Need Another Tool — or Just Fewer Decisions?
- When Automation Helps — and When It Makes Things Worse
Frequently Asked Questions
Q: Is AI always bad for developing expertise?
No. AI used intentionally can extend expertise — giving you access to context, depth, and knowledge you don’t have yet. The question is whether you’re using it to think better or to think less.
Q: How do I know if I’m using AI the wrong way?
Notice where you’ve stopped thinking. If you’re reflexively asking AI for answers instead of context, or if you’re skipping the work of understanding something, that’s worth pausing on.
Q: What’s the difference between pro-worker AI and replacement AI?
Pro-worker AI extends what humans can do — it gives novices access to expert-level judgment. Replacement AI removes the need for human expertise altogether. One builds capability. The other erodes it.
Q: Can small businesses use AI well without becoming dependent on it?
Absolutely. The key is treating AI as a tool that expands your capacity to think deeply — not as a shortcut that removes thinking from the process.
Q: What should I actually do differently?
Ask yourself: is this tool helping me think more clearly, or helping me avoid thinking? If it’s the latter, step back. Use AI for legwork, not judgment.
