AI & Execution

Art People praise AI for making life easier, but the real change isn’t just about speed or simplicity. It’s deeper than that. AI is reshaping what it means to be a beginner.

Think about it. For centuries, "beginner" status came with clear boundaries: fumbling, failing, repeating, often isolated. Now? A beginner can write code, design content, analyze data, all with the polish of someone years into their craft.

The New Landscape: Execution Without Understanding/Experience and Knowledge

AI gives immediate power. Type a goal and get a solution. But here’s the catch:
Execution without experience feels hollow.

Yes, AI can help with:

Suggesting polished templates
Breaking down large tasks
Hand holding you through error fixes in your project

But mastery used to mean more than output. It meant surviving the mess, learning the feel of failure, developing the intuition no template can teach. That texture is missing when machines smooth every wrinkle.

Authority Without Depth

One overlooked danger: AI makes beginners appear competent before they are.
You’re now fluent in jargon, outputting impressive work, collaborating like a pro. But when a real, uncharted problem hits, something no pre-written prompt can untangle, you’ll feel the hollow space where depth should be.

The risk isn’t incompetence. It’s overconfidence built on unearned authority.

Dependency, But Not Where You Think

Much has been said about dependency on AI. But what if the real dependency is subtler?
It’s not that you can’t solve problems without AI, it’s that you may forget how to sit with discomfort, ambiguity, or slowness.
AI trains us to crave fast, neat solutions. But life, creativity, and meaningful learning? They rarely reward impatience.

So, Where’s the Opportunity?

Here’s the unconventional take:
Use AI to skip the mechanical parts, but don’t skip to reflect on AI generated output.

After AI hands you a solution, dissect it.
When AI fixes your error, intentionally break it again and debug yourself.
Use AI not to eliminate friction, but to expose yourself to deeper layers faster.

If beginners today choose to use AI to reflect rather than rely on it, they might not just learn faster, they might become something entirely new:
A generation that doesn’t just follow instructions to execute but questions how things are done.